Jobs Data Analyst

 Business Analyst  for the international product IT company,  which provides a full-stack package of complex AdTech solutions for digital advertisers, publishers and ad agencies worldwide. 

  The company develops white-label platforms for enterprise clients—custom turnkey solutions to automate and optimize digital advertising.

Products company : SSP, DSP, Ad Exchange platforms.

Main markets - Tier 1-2 

The  team :  PM, Delivery Manager, Account Manager, Backend & Frontend Developers, QA Engineers.

Locations/Offices - Kyiv, Lviv, Odesa, Mykolaiv or remote.

Сonditions: Competitive salary + , Remote (Full-time), career and financial growth, paid vacation and sick leave and other goodies.

Requirements:

• Experience as a Business Analyst  of 2+ years
• Experience in gathering and prioritizing requirements with flexible adaptation to the client’s business context, and preparation of detailed technical specifications for the development team.
• Strong analytical and problem-solving skills with the ability to analyze complex data sets, extract insights, and make data-driven recommendations.
• Experience in creating and maintaining tech/feature/product documentation
• Proactive attitude towards learning and staying updated on industry trends, emerging technologies, and best practices in business analytics and ad tech
• English: Upper-Intermediate and above, both verbal and written
• Experience with Jira, Confluence

Responsibilities:

• Collaborate with clients to gather and prioritize new features and enhancement requirements.
• Translate business needs into clear and actionable product requirements.
• Create and describe features from scratch and work with existing feature improvements/change requests.
•  Assist in developing product roadmaps and strategic plans based on market research, customer feedback, and business objectives.
• Participate in customized features upsell to customers based on their product needs.
• Develop comprehensive documentation, including product specifications, user guides, and technical documentation.
• Conduct in-depth product research on industry trends, competitor analysis, and emerging technologies within the ad tech domain. Share the vision.

About The Role

We are looking for a Senior Product Analyst to join our growing analytics team (30+ professionals).In this role, you will drive tangible business impact by delivering high-quality insights and recommendations, leveraging your ability to combine strategic thinking and problem-solving with detailed analysis. You will collaborate closely with Product Managers and cross-functional teams, uncovering business insights, devising optimization strategies, and validating them through experiments.

What You’ll Do

• Conduct deep-dive analyses and deliver actionable insights to improve product performance.
• Analyze large-scale datasets (funnel events, transactional, and text data) to identify growth opportunities.
• Design and interpret A/B tests, MAB experiments, and hypothesis-driven analyses.
• Track and implement key business metrics to support decision-making.
• Work with cutting-edge tools, including Bayesian statistics, ML models, and LLMs.

• Collaborate with a large and highly skilled Analytics team, fostering a knowledge-sharing environment.

   

What We’re Looking For

• 5+ years of experience in product analytics
• Proficiency in SQL, with the ability to write complex queries to extract insights and support decision-making.
• Strong visualization skills in PowerBI (preferred), Tableau, Looker, or similar BI tools
• Expertise in Descriptive and Inferential Statistical Analysis, A/B testing, and Hypothesis Testing, with a proven ability to analyze results.
• Familiarity with Google Analytics, BigQuery, Python/R, and ML will be a plus.
• Excellent communication skills, with confidence in interacting across all levels of management and diverse business functions.

• English proficiency (at least strong upper-intermediate level).

   

Why Join Us?

• High-Impact Data — Work with vast datasets generated by over a million daily visits, uncovering valuable insights.
• Collaborative Analytics Team — Join a team of 30+ skilled analysts who actively share knowledge and support each other.
• Cutting-Edge Tools & Techniques — Get hands-on experience with ML, Bayesian methods, and LLMs to solve real business challenges.
• Data-Driven Culture — Thrive in an environment where data informs every decision and drives continuous improvement.

Perks and Benefits

• Time off throughout the year (paid and unpaid)
• Professional development support and encouragement
• Resources to help improve your overall well-being
• Free JustAnswer membership

About the Company

NDA (NICK Digital Agency) is a digital boutique agency working with B2B clients, e-commerce brands, and digital startups in the DACH market. We build demand generation and performance systems — not one-off campaigns. The team is lean, fully remote, and operates without bureaucracy: direct communication, no account managers, results over process.

We're in an active growth stage and looking for an analyst to own the data layer in our delivery.

About the Role

This is not a dashboarding or reporting role.

Your job is to identify where revenue is lost, explain why it happens, and quantify the business impact. You'll work directly with the founder, get full access to clients' revenue stack (CRM, ad accounts, financials), and own the analytical deliverables that drive client decisions.

You will cover three core products:

• Revenue Architecture Diagnostic
• AI Visibility Audit
• AI Revenue Operations Audit

What You'll Do

• Intake and process data from GA4, CRM, ad accounts, and email platforms
• Build attribution views and detect tracking gaps
• Calculate CAC, LTV, payback period, and margin from real client data
• Run funnel drop-off analysis and revenue leak detection
• Run citation testing for AI Visibility audits — testing how clients appear across AI-driven search platforms (40–60 queries × 5 platforms per audit)
• Support process mapping for AI RevOps audits
• Write revenue audit reports (30–45 pages) and process audit reports (25–35 pages)
• Build ROI projection models in Excel / Google Sheets

Key Expectations

• Own 3–4 client audits in parallel at different stages of delivery
• Work autonomously — no step-by-step guidance, no micromanagement
• Identify both revenue leaks and growth upside — not just surface numbers
• Translate findings into clear, decision-ready business insights
• Back up every recommendation with revenue logic and ROI modeling
• Write well — analytical writing quality directly affects client output quality

Requirements

Must Have

• 3+ years in a performance, growth, or analytics role — B2B, SaaS, or digital agency context
• GA4 at an advanced level: event-based tracking, conversion paths, attribution models — building setups from scratch, not just reading them
• One BI tool (Looker Studio, Metabase, Tableau, or PowerBI) — building self-sufficient dashboards independently
• Excel / Google Sheets advanced: pivot tables, financial modeling, lookups, conditional logic
• Basic SQL: SELECT, JOINs, GROUP BY
• Strong analytical writing — ability to turn data into business-visible, human-readable insights
• Structured analytical thinking with a business-outcomes orientation
• English B2+

Nice to Have

• HubSpot or Salesforce admin-level access
• CRM attribution tools: Dreamdata, HockeyStack, or similar
• Mixpanel or Amplitude
• Basic Python for data wrangling
• GA4 → BigQuery → Looker integration
• SaaS metrics fluency: MRR, NRR, GRR, churn cohorts
• DACH market experience
• German B1+ (German-speaking candidates are prioritized)

This Role Is NOT a Fit If You

• Treat analytics as dashboards and figures without interpretation behind them
• Cannot explain clearly why a channel or funnel step is underperforming
• Rely on pre-built data infrastructure and cannot build setups from scratch
• Are not comfortable working with messy, fragmented, multi-source client data
• Cannot back up recommendations with revenue modeling
• Are looking for a permanent salaried position from day one — this engagement starts as freelance/contractor

Work Conditions

• Format: Fully remote, async-first communication
• Timezone: Ukraine or CET
• Engagement type: Freelance / contractor — starting at ~20 hrs/week, scaling to full load based on delivery performance
• No probation period: The first project is the screen. Results delivered → engagement continues and grows.
• Growth path: Permanent employment (Festanstellung) option opens at the 6+ month mark

Selection Process

1. CV review
2. Recruiter screening call
3. HM Case Interview with CEO — you'll receive a real business dataset before the call (GA4 export + CRM data + ad spend across 2–3 channels) and walk through your findings live. The case covers funnel leak detection, tracking gap identification, and revenue modeling. This replaces a traditional test task.
4. Referral check
5. Offer call

Who We're Looking For

You've worked with fragmented, multi-source client data. You build the infrastructure when it doesn't exist. You know how to turn analytical findings into a story a CEO or CMO will act on — and you can model the revenue impact behind every recommendation. If you need a fully built data stack and a detailed brief to get started, this role isn't the right fit.

Наш клієнт, Growe Partners, партнерська програма з топовими оферами у сфері ставок і казино. Їхня діяльність базується на принципі win-win, де успіх і заробіток партнерів є головним пріоритетом і запорукою взаємного зростання.

Ідеально для тих, хто прагне:

• Аналізувати трафік партнерів, поведінку користувачів, платежі та ефективність промо-кампаній;
• Створювати та автоматизувати звітність у Tableau, SQL та Google Sheets — від щоденних інформаційних панелей до щомісячних зведень;
• Працювати з даними з різних джерел, перевіряти та очищувати їх, а також готувати до аналізу;
• Допомагати партнерським та брендовим командам знаходити відповіді: які джерела працюють найкраще, що потрібно виправити, які креативи конвертують;
• Моніторити якість даних, виявлення аномалій та невідповідностей, а також забезпечення точності показників у звітах;
• Брати участь у перевірці гіпотез та пропонувати покращення щодо трафіку, бонусів та залучення партнерів;
• Перетворювати складні дані на чіткі візуальні елементи та практичні рекомендації для різних зацікавлених сторін.

Досвід, який стане твоєю перевагою:

• 3+ роки досвіду в аналітиці даних;
• Володіння SQL, Tableau та Google Sheets/Excel (зведені таблиці, пошук, формули, структурування даних);
• Досвід роботи з великими наборами даних та створення звітів з нуля;
• Сильні навички валідації даних, автоматизації процесів та логічного структурування для бізнес-метрик;
• Досвід в гемблінгу;
• Досвід тісної співпраці з міжфункціональними командами (маркетинг, фінанси, партнерська програма, брендинг);
• Здатність чітко презентувати результати — як візуально, так і письмово;
• Англійська мова — Upper Intermediate (деякі команди працюють повністю англійською).

Ми цінуємо:

• Сильне аналітичне та структуроване мислення — ви впорядковуєте велику кількість даних;
• Високий рівень відповідальності та проактивності — ви не просто чекаєте на завдання, ви визначаєте можливості;
• Здатність пояснювати складні речі простим та зрозумілим способом;
• Гнучкість та адаптивність — ви зберігаєте спокій, коли плани змінюються;
• Зручне керування кількома пріоритетами одночасно без втрати чіткості чи швидкості;
• Здорова доза перфекціонізму — ви не створюєте інформаційні панелі, якщо вони не є чіткими та зрозумілими.

Наші клієнти пропонують конкурентні переваги для підтримки вашого професійного та особистого зростання, зокрема:

• Орієнтація на здоров’я та добробут;
• Глобальне медичне страхування;
• Можливості для зростання;
• Програми бенефітів (компенсація спорту / стоматології / психолога тощо);
• Бонуси за досягнення результатів;
• Динамічне робоче середовище.

Долучайся — і нехай твоя історія зростання розпочнеться.

English version:

Our client, Growe Partners, is an affiliate program with top betting and casinos offers. The win-win philosophy forms the foundation of operations, ensuring that partner earnings and success remain a top priority, with their triumphs inherently tied to mutual growth.

Perfect for those who aim to:

• Analyze partner traffic, user behavior, payments, and promo campaign performance;
• Build and automate reporting in Tableau, SQL, and Google Sheets — from daily dashboards to monthly summaries;
• Work with data from multiple sources, validate and clean it, and prepare it for analysis;
• Help affiliate and brand teams find answers: which sources perform best, what needs fixing, which creatives convert;
• Monitor data quality, identify anomalies and inconsistencies, and ensure metric accuracy across reports;
• Participate in hypothesis testing and suggest improvements across traffic, bonuses, and partner engagement;
• Translate complex data into clear visuals and actionable recommendations for different stakeholders.

Experience you’ll need to bring:

• 3+ years of experience in data analytics;
• Proficient in SQL, Tableau, and Google Sheets / Excel (pivots, lookups, formulas, data structuring);
• Experience working with large datasets and building reports from scratch;
• Experience in the gambling niche is a must;
• Strong skills in data validation, process automation, and logic structuring for business metrics;
• Experience working closely with cross-functional teams (marketing, finance, affiliate, brand);
• Ability to clearly present findings — both visually and in writing;
• English — Upper-Intermediate (some teams operate fully in English).

It’s a perfect match if you have those personal features:

• Strong analytical and structured thinking — you bring order to a high number of data;
• High level of responsibility and proactivity — you don’t just wait for tasks, you identify opportunities;
• Ability to explain complex things in a simple and relatable way;
• Flexibility and adaptability — you stay calm, when plans shift;
• Comfortable managing multiple priorities at once without losing clarity or speed;
• A healthy dose of perfectionism — you don’t ship dashboards unless they’re solid and clear.

Our clients offer competitive benefits to support your professional and personal growth, including:

• Health & Wellness Focus;
• Global Medical Coverage;
• Growth Opportunities;
• Benefits Programs (compensation for the gym/stomatology/psychological service & etc.);
• Performance-Driven Rewards;
• Dynamic Work Environment.

Apply, and let your growth journey begin.

This role is for an experienced Product Analyst with a strong background in product analytics, experimentation, and data-driven decision-making. You will be responsible for defining product success metrics, analyzing user behavior and A/B test results, uncovering actionable insights, and collaborating cross-functionally to optimize acquisition, retention, and trading experiences while supporting business growth.
Explore opportunities at JustMarkets and become a part of our team of professionals!

Responsibilities

• Partner with Product Leads (Acquisition, Retention, Trading) to define success metrics and KPIs for new features and product roadmaps
• Design, document, and oversee the implementation of tracking plans (event taxonomy)
• Analyze A/B test results, providing clear recommendations on whether to roll out, iterate, or kill a feature based on statistical evidence
• Create and maintain executive-level dashboards and granular product-level reports
• Conduct complex research (e.g., "How does using the CopyTrading feature in the first 7 days impact 90-day retention?")

Requirements

• 3+ years of experience as a Product Data Analyst, ideally within FinTech, Trading, GameDev, or high-transaction B2C digital products
• Advanced proficiency in SQL (complex joins, window functions, query optimization) and hands-on experience with Data Warehouses (BigQuery, Snowflake, Redshift)
• Strong experience with Product Analytics and event tracking platforms (such as Amplitude, Mixpanel, GA4, Firebase Analytics) as well as BI visualization tools (Tableau, Looker, PowerBI, Superset, or similar)
• Solid understanding of statistics specifically for A/B testing (hypothesis testing, p-values, statistical significance, minimum detectable effect)
• Experience using Python or R (Pandas, SciPy, Jupyter) for deeper statistical analysis, cohort modeling, or predictive analytics
• Proven ability to design and govern product event tracking architecture from scratch

Will be a plus

• Domain knowledge in CFD trading, Crypto exchanges, or traditional brokerage businesses
• Experience with Data Engineering concepts and tools (dbt, Airflow) to build your own data pipelines
• Familiarity with mobile attribution platforms (AppsFlyer, Adjust) and deep-linking analytics

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

We are a fast-growing iGaming startup operating in Tier-1 European markets. As we scale, data integrity and alignment across all departments become our top priorities. We are seeking a Senior Cross-Functional Data Analyst who will act as the ultimate data bridge across our entire business, working hand-in-hand with our Marketing Retention, Acquisition, and Finance Support teams.

🛠 Key Responsibilities:

• Cross-Departmental Analytics: Own and analyze the full funnel of business metrics, seamlessly switching between Acquisition (CAC, CPA, ROAS), Marketing Retention (Churn, LTV, Bonus Cost, Re-engagement ROI), and Finance Support (GGR, NGR, Net Billing, Player Payouts).
• Data Integration & ETL Management: Work closely with Airflow and modern ETL/ELT workflows to extract, transform, and orchestrate data from numerous third-party sources, affiliate platforms, and our core gaming platform.
• Strategic Partnership: Act as the primary data ally for the Acquisition, Retention, and Finance teams-auditing campaign performance, evaluating traffic quality, and ensuring internal data perfectly matches financial realities.
• Dashboarding & Reporting: Design, build, and maintain clean, automated dashboards that give leadership and department heads real-time clarity on their specific KPIs.
• Data Quality Governance: Ensure seamless data mapping between external tracking systems and our internal data warehouse, proactively spotting and resolving data discrepancies.

💻 Requirements:

• iGaming Experience: 3+ years of experience as a Data, BI, or Marketing Analyst within the iGaming industry (essential). You must deeply understand the lifecycle of a player from the first click to long-term retention.
• Metric Polymath: Flawless understanding of metrics across all business domains, with expert-level knowledge of acquisition KPIs, retention analytics, and basic financial modeling.
• Data Engineering Savvy: Solid practical experience with Apache Airflow and managing ETL/ELT pipelines to handle high-volume third-party API integrations and platform data.
• Technical Powerhouse: Advanced SQL skills (complex queries, window functions, performance optimization) and experience with modern BI tools (Tableau, PowerBI, or Looker Studio).
• Communication: Exceptional ability to collaborate with different teams, understand their specific data needs, and explain technical data concepts in simple business terms.
• Language: English proficiency at B2/C1 level for international workflows; Ukrainian is a plus.

🚀 What We Offer:

• High Visibility & Impact: A highly visible role where your cross-functional insights will directly shape marketing budgets and product strategy.
• Flexibility: Fully remote work format with a flexible schedule.
• Comp & Benefits: A competitive compensation package that fully reflects your seniority and expertise.

We are looking for Business Analyst to develop and support Big Data solutions used across multiple business units. In this role, you will focus on structuring business needs, defining data logic and ensuring solutions are clearly specified for implementation. The position combines analytical work, data solution design and cross-team collaboration in a large-scale telecom environment.

Responsibilities
•    Collect, analyze and formalize business requirements from internal teams
•    Translate business needs into structured documentation, data logic and functional specifications
•    Design analytical solutions such as triggers, batch processes, dashboards and data funnels
•    Define data mappings, transformation rules and end-to-end processing flows
•    Build, aggregate and validate datasets from multiple internal and external sources
•    Support development teams by clarifying requirements, logic and acceptance criteria
•    Maintain structured product documentation, PRDs and user stories
•    Participate in solution discussions to ensure feasibility, clarity and consistency of implementation
•    Provide visibility on analysis progress and document agreed decisions and assumptions
•    Contribute to improving analysis practices, documentation quality and internal knowledge sharing

Requirements
•    2+ years of experience in Business Analysis, Data Analysis, Data Engineering or a similar role
•    Strong analytical thinking and ability to structure complex business requests
•    Proven experience writing clear functional and technical documentation
•    Solid SQL skills and experience working with large datasets and ETL processes
•    Experience working with Big Data platforms such as Apache Hadoop, Amazon Web Services, Microsoft Azure or similar environments
•    Familiarity with streaming or pipeline tools such as Apache Kafka is an advantage
•    Understanding of data structures, processing logic and system integration principles
•    Experience working with multiple teams in complex corporate environments
•    Telecom domain knowledge is a plus

We offer
•    Work on large-scale data solutions with real operational usage
•    Remote-friendly work format with flexible hours
•    Competitive salary and annual performance bonus
•    Paid vacation and sick leave
•    Medical and life insurance
•    Professional development and career growth opportunities
•    Supportive, expert-level team environment

We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.


The future of Web3 starts with you: join us as a Product Analyst!

Requirements

— 5+ years in product analytics, preferably in fintech, payments, or banking products;
— Advanced SQL skills; confident working with large raw datasets from backend sources;
— Hands-on experience with PostHog — event tracking, funnel and retention analysis, feature flags analytics;
— Proficiency in Tableau — building production-grade dashboards consumed by non-technical stakeholders;
— Experience with BigQuery / Snowflake / Redshift as primary data warehouse;
— Working knowledge of dbt — understanding models, lineage, and writing/modifying transformations;
— Python / pandas for data wrangling, ad-hoc analysis, and automation of repetitive analytical tasks;
— Solid understanding of payments flows (authorization, settlement, chargebacks), conversion funnels, cohort analysis, and fraud/risk metrics;
— Ability to independently scope analytical requests, challenge vague questions, and deliver structured insigh — not just charts;
— Experience working in cross-functional teams with Product, Growth, and Risk stakeholders;
— English B2+ for documentation and async communication;

Responsibilities

◇ Analytics delivery:
— Own end-to-end analytics across user funnels, payments, risk & fraud, and growth - from request intake to insight delivery;
— Answer complex business questions using SQL queries against BigQuery/Snowflake/Redshift, dbt models, and PostHog event data;
— Build and maintain Tableau dashboards actively used by Product, Growth, and Risk teams;
— Conduct funnel, cohort, retention, and segmentation analysis to support product decisions;

◇ Collaboration:
— Work closely with Product Managers to define metrics, instrument new features in PostHog, and evaluate product performance post-release;
— Partner with the Growth & Marketing team on acquisition funnel analysis, campaign attribution, and conversion optimization;
— Support the Risk & Fraud team with behavioral pattern analysis, anomaly detection, and monitoring of fraud signals;
— Align with backend engineers on data availability, event schemas, and data quality issuesp;

◇ Proactive & structural work:
— Audit current analytical coverage and identify gaps in instrumentation or reporting;
— Propose and implement automation and self-serve solutions to reduce the volume of repetitive ad-hoc requests;
— Contribute to dbt models - write new transformations and improve existing ones as needed;
— Document analytical approaches, metric definitions, and dashboard logic to build team knowledge base;

Good to have

— Prior experience in a high-request-volume environment with a structured intake process;
— Exposure to fraud detection models or risk scoring logic;
— Experience building self-serve analytics layers to reduce ad-hoc load;

Work conditions

— Master cutting-edge technologies and become an expert in the most innovative industry;
— Work with the Fintech of the Future: develop your skills in digital finance and shape the global market;
— Take Your Professionalism to the Next Level: gain unique experience and be part of global transformations;
— Drive Innovations: influence the industry and contribute to groundbreaking solutions;
— Join a Strong Team: collaborate with top experts worldwide and grow alongside the best;

Work-Life Balance & Well-being:
— Modern equipment;
— Comfortable working conditions, and an inspiring environment to help you thrive;
— 24 calendar days of paid leave;
— Additional days off for national holidays.

Team Summary

Our analytical teams provide actionable insights during the development and rollout of AI-driven features, including motion and object detection. We quantify user experience for core device functionality, conduct deep-dive studies to shape the product roadmap, and evaluate new initiatives from initial trials through full-scale production.

Job summary

We are looking for an experienced Data Analyst to join our team. In this role, you will develop self-service dashboards, build data models, monitor key product features, and collaborate with cross-functional teams to drive impactful decisions. This role offers an opportunity to work with large datasets, optimise analytical processes, and influence product growth with meaningful data insights.

Responsibilities and Duties

• Build data models for covering analytics
• Develop self-service dashboards for stakeholders
• Use data to analyse user behaviour, turning insights into practical guidance for product development and strategy
• Create reports that present data outcomes to stakeholders, enabling them to make informed decisions

• Use AI agents to automate routine tasks and ad-hocs

   

Qualifications and Skills

• 4+ years of experience as a BI/Data Analyst or Data Engineer
• Hands-on experience with data warehousing and ETL pipelines
• Advanced knowledge of SQL
• Hands-on experience with AWS (Athena, Redshift)

• Good written and spoken English

   

Nice to have

• Experience with AI agents
• Computer science fundamentals
• Knowledge of Python
• Hands-on experience with QuickSight, Tableau or PowerBI

• Good knowledge of statistics and probability theory

   

We offer multiple benefits that include

• The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member
• Competitive salary packages with performance-based annual reviews
• Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company
• Employment via Contract of Employment (UoP) in complete alignment with Polish Labour Law
• Guaranteed paid vacation, public holidays, and medical leaves as per statutory regulations
• Continuous growth and development opportunities through internal knowledge hubs, corporate courses, and free English classes
• Comprehensive private medical insurance to supplement your standard NFZ coverage.

We are looking for a Senior Data Analyst. 

This is not a standard analyst role. We are building a dynamic identity resolution system where AI is deeply integrated — both as a productivity multiplier and as a core component of our data processing logic for identity resolution and LLM-based scoring.

We run enrichment against 70+ TB of data, apply AI and LLM-based scoring on top, and process around 20 million enrichment operations per day across hundreds of thousands of records.

The analytical challenges ahead are substantial: how to measure the quality of AI-driven scoring, how to validate that a change makes the system better, how to know where our money and time deliver the most value, and how to turn the questions our internal teams bring in into fast data-backed answers. You will own this side of the business, working daily alongside engineers and the product lead to turn these challenges into decisions that ship.

The main part of the role is not building dashboards — it is the data work that makes a meaningful dashboard possible in the first place. Concretely, you will be:

• Looking at data from multiple vendors side by side and deciding what to trust.
• Reconciling entities across sources that have different shapes and quality.
• Proposing and validating the logic that matches and scores them.
• Defining metrics and ground truth for questions nobody has asked before.
• Tracing why numbers don't line up across partial and sometimes contradictory sources.

Dashboards and visualizations are part of how findings get communicated, but they come at the end — the surface of the work, not its core. Most of your time is spent on what sits underneath: methodology, judgment calls on data quality, and shaping how the domain understands its own numbers.

Responsibilities

• Measurement & Evaluation Foundations: Define how we measure what matters — data quality, the accuracy of our AI scoring, how many records actually get matched to usable signals, cost per outcome. Build the feedback loops that tell us whether a change makes the system better or worse.

• Scoring Intelligence (co-owned with engineers): Partner with the engineering team on the LLM-based scoring system. You will build the evaluation framework for AI scoring, run experiments comparing prompts, models, and approaches against a baseline, and make data-backed calls on where we invest next. Our AI scoring system is actively evolving — you will shape how we measure and improve it.

• Client-related Analysis: Own the analytical side of the work that internal sales and media-buying teams bring in from pharma clients — how reachable a target audience is, how good the data looks, why a campaign performed the way it did. You turn their questions into data-backed answers they can use. Identity is a product core; the analyst works with internal teams, not with clients directly.

• Cost and Value Analysis: Turn cost and value into product decisions. Which data sources and enrichment scenarios pay off, where we overspend, what to cache, what to cut. We operate a mix of free owned data and paid external providers — the decisions have real dollar impact.

• Active AI Usage: Use Claude Code and modern AI engineering tools to multiply your own output. Automate the repetitive parts of analysis so you can focus on the decisions. We provide Claude Code licenses and expect active daily use.

• Data Quality Response: When pipeline output drifts, a provider degrades, or upstream data shifts, you notice first, diagnose the root cause, and drive the fix. You treat data quality as a product, not a ticket queue.

Requirements

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team (not consultancy, not BI-only roles).
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. You can read and write complex queries on tens of terabytes without someone pre-modelling the data for you.
• Python for analysis at a working level — pandas, Jupyter, or modern equivalents. Comfortable putting together a small script or helper when an existing tool doesn't cover your case.
• Built measurement or evaluation frameworks from scratch for systems that had no baseline. You are comfortable defining what and how to measure, not consuming someone else's KPI.
• Comfort with probabilistic systems. You understand that noise is inherent and 100% accuracy is not the goal — scoring, matching, ranking.
• AI-native workflow. You already use Claude Code, ChatGPT, Copilot, or similar AI tools daily and integrate them into your analytical process.
• English: B2+ (Upper-Intermediate) or higher.

Strong plus (one or more)

• LLM evaluation experience — A/B testing AI-powered features, output scoring, prompt iteration with measurable outcomes.
• Identity resolution / identity graph experience — adtech, martech, or customer data platform context (LiveIntent, LiveRamp, Epsilon, Experian Marketing, Acxiom, Merkle, or similar).
• Healthcare or pharma data — working with NPI, HCP-level data, healthcare taxonomies, pharma targeting.

Nice to have

• Experience running controlled experiments on data pipelines.
• Prompt engineering or structured LLM prompt design.
• Prior work in AI-first product companies.

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If scoring quality drifts or a provider degrades, you notice it and drive the fix without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If external data shifts or an API changes, you build around it instead of blaming the provider.
• Get It Done: You prioritize shipping answers. You know when to send a rough estimate and when to build a proper framework.
• Openness: You share findings and admit mistakes openly — both wins and failures travel across the team. If you spot a better way to do something, you volunteer it without being asked.

What We Offer

• Fully remote with flexible hours, with working overlap in CET ±2 hours for syncs.
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech — both for daily work and as part of product logic.
• High-Impact Role: You will directly shape how we identify, score, and reach healthcare professionals — the core business of our domain.
• Small team, direct impact: You will work directly with Product and Engineering leads — no layers between you and the people making decisions.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

We are looking for a specialist with strong SQL and analytical skills to support AI-driven data initiatives within the lending domain.

The ideal candidate has a strong understanding of financial data and experience working with semantic models, AI agents, or LLM-based solutions that help business users interact with data through natural language. The primary focus of the role will be enabling business teams to receive data insights and answers through AI-powered models/agents.

Key Responsibilities

• Design and support semantic models and AI-driven data solutions for business users.
• Translate business questions into optimized SQL queries and data logic.
• Collaborate with business and engineering teams to improve accessibility of analytical data.
• Ensure data accuracy, consistency, and reliability across AI-driven solutions.
• Work with lending data, including loan, payment, balance, and portfolio-related information.
• Support development and optimization of reporting and analytical workflows within Snowflake environments.

Required Skills

• Very strong SQL skills (complex joins, aggregations, window functions, query optimization).
• Strong understanding of lending and/or banking domain concepts and data structures.
• Experience working with analytical and reporting datasets.
• Ability to work independently and communicate effectively with both technical and business stakeholders.
• Strong analytical thinking and problem-solving skills.

Nice to Have

• Experience with Snowflake.
• Experience with Snowflake Cortex AI, LLMs, or similar AI/agent-based platforms.
• Understanding of AI-assisted analytics and natural language data querying concepts.
• Experience with PowerBI

Profile Expectations

• Business-oriented mindset with strong attention to data quality.
• Comfortable operating in a fast-paced data and analytics environment.
• Able to bridge business needs and technical implementation.
• Proactive in identifying opportunities for AI-driven process improvements and data accessibility.

Greetings!
We are looking for an insightful and detail-oriented Product Analyst to strengthen our analytics team and contribute to data-driven decision-making for our key business units.

🧲 Magnetics is a digital company that develops and scales its own online products across competitive and fast-paced markets. Founded in 2014, we rely on data, bold hypotheses, and user experience to grow efficiently.

Requirements:
- 3+ years of relevant experience in data analytics with a focus on product metrics
- Proficient SQL (PostgreSQL), Google Sheets, and Excel
- Solid foundation in statistics and probability
- Strong data visualization skills (preferably Tableau)
- Experience working with cross-functional teams (product, payments, marketing, retention, etc.)
- Excellent analytical thinking, self-organization, and attention to detail
- Ability to clearly present insights to both technical and non-technical stakeholders
- English - at least Intermediate (read documentation)

Nice to have:
- Knowledge of column-oriented storages (e.g., BigQuery, AWS Athena)
- Strong GA4 analysis skills (analytics only — no setup required)

How you'll be contributing:
- Monitoring and analyzing key product and payment funnel metrics
- Working with user segments (incl. high-value customers)
- Identifying anomalies in KPIs and finding their root causes
- Generating hypotheses and uncovering growth opportunities
- Supporting the development of our BI infrastructure (database + Tableau dashboards)
- Contributing to business planning and modeling

Our tech & culture:
You’ll be part of a team where we value autonomy, data access, smart tools, and minimal bureaucracy. We are actively building a modern BI system to empower decision-makers with real-time insights. Our company is mid-sized, dynamic, and focused on high-impact analytics — perfect for those who love uncovering actionable insights and testing hypotheses.

Benefits of working with us:
🧲 Office in Kyiv or Remote
🧲 50% coverage of courses, training, and language programs
🧲 100% coverage of team training programs
🧲 Free legal consultations + 50% discount on services
🧲 Health insurance
🧲 Flexible work schedule
🧲 Regular salary reviews
🧲 Friendly and curious team with team buildings across Ukraine

About Yanarchy

Yanarchy is a Los Angeles–based talent management agency building scalable systems around creator operations, monetization, analytics, and internal workflows.

As the company grows, we are increasingly focused on operational efficiency, data visibility, and AI-powered decision-making. Our internal ecosystem combines creator management, automation, analytics, and business tooling — and data plays a key role in how we scale.

We are looking for a Data Analyst who can help us transform fragmented operational data into clear reporting systems, actionable insights, and strategic visibility across teams.

The Role

We are looking for a Middle Data Analyst to own and improve analytics infrastructure across Sales, Marketing, and operational teams.

This role is ideal for someone who enjoys working with large datasets, business metrics, reporting systems, and process optimization — and who can independently turn raw data into practical business recommendations.

You will work closely with stakeholders across departments, helping teams better understand performance, identify bottlenecks, and make faster data-driven decisions.

What You Will Do

Business Reporting

Develop and maintain reporting systems and dashboards for operational, sales, and marketing teams.

Analytics & Decision Support

Analyze business performance, identify trends and inefficiencies, and provide recommendations based on data.

Dashboard Development

Build interactive Power BI dashboards with clear visualization logic and scalable data models.

Data Infrastructure Support

Work with data collection, transformation, validation, and preparation processes across multiple sources.

KPI Monitoring

Track key business metrics, identify anomalies, and improve visibility into company performance.

Cross-team Collaboration

Communicate with stakeholders to understand reporting needs and align analytics with business goals.

Process Optimization

Help improve operational workflows through analytics, automation opportunities, and structured reporting.

Candidate Expectations

• 2+ years of experience as a Data Analyst in a tech, SaaS, or operational environment
• Strong SQL skills and confidence working with complex datasets
• Practical experience with Power BI, DAX, and dashboard architecture
• Experience integrating data from multiple sources
• Understanding of data validation and reporting accuracy
• Strong analytical thinking and attention to detail
• Ability to communicate insights clearly to non-technical teams
• Independent and ownership-oriented mindset

• English level sufficient for internal communication and documentation

   

Nice to Have

• Experience with Python and API-based data extraction
• Familiarity with forecasting or predictive analytics
• Experience working with operational or sales analytics
• Understanding of automation systems or AI-related products
• Knowledge of performance optimization in BI tools

What We Offer

• Remote-first setup with flexible collaboration
• Opportunity to work on internal systems and AI-powered products
• High ownership and direct business impact
• Fast-moving environment without heavy corporate bureaucracy
• Paid vacation, sick leave, and personal days off

About the company

Turning marketing into a market-domination weapon, we created a new category - the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: you see everything about a lead before you buy - full transparency, control, and predictable outcomes. We’re the #1 lead marketplace in the USA, and we’re accelerating.

 

Role overview

We are looking for a Senior Financial Data Analyst / FP&A Business Partner who will help us understand where the business makes money, where profit is lost, and which decisions can improve margins, cash flow, and overall performance. You will work closely with founders, finance, product, operations, and business teams to turn financial and operational data into clear recommendations. This role exists to help leadership make faster, better decisions based on real business numbers.

 

🔧 What You’ll Be Doing:

• Build and improve executive dashboards that show revenue, profit, margins, COGS, OpEx, refunds, payouts, cash flow, and key business metrics
• Analyze profitability across products, customers, providers, geographies, channels, lead sources, and operational workflows
• Create P&L analysis, gross margin analysis, contribution margin analysis, unit economics models, forecasts, and scenario analysis
• Identify cost leaks, overspending, inefficient vendors, payment issues, margin risks, and other areas where the business can improve profit
• Partner with finance, accounting, product, operations, sales, and marketing teams to connect business activity with financial outcomes
• Reconcile business data with invoices, payouts, payment systems, taxes, accounting records, and financial reports
• Present clear recommendations to founders and senior leadership on pricing, cost optimization, product profitability, hiring, and growth decisions

✅ What Makes You a Strong Fit:

• 6-8+ years of experience in financial analytics, FP&A, data analytics, business analytics, or a similar role
• Strong experience with financial modeling, P&L analysis, unit economics, budgeting, forecasting, and variance analysis
• Expert-level SQL and strong hands-on experience with BigQuery
• Strong experience with Looker, Power BI, Tableau, or similar BI tools
• Advanced Excel or Google Sheets skills for financial modeling, reporting, and scenario analysis
• Good understanding of accounting basics, financial statements, revenue, COGS, OpEx, gross margin, contribution margin, and cash flow
• Clear communication in English, both spoken and written, with the ability to explain financial insights to founders, business teams, and non-finance stakeholders

➕ Bonus if you have:

• Experience with Python or another scripting language for data analysis and reporting automation
• Experience with payment systems, accounting systems, CRM, ERP, Stripe, QuickBooks, Xero, NetSuite, or similar tools
• Experience in marketplace, SaaS, fintech, real estate, lead generation, or performance marketing businesses
• Experience working directly with founders or senior leadership in a fast-moving business environment

🎁 Why You’ll Love It Here:

• You’ll work at the core of a product-led, AI-powered startup where data drives every decision
• Your work will ship fast and impact thousands of users
• High autonomy, low bureaucracy: we trust you to own your domain
• Remote-first culture with flexible hours and async-friendly communication
• Salary (fixed base) ABOVE the market average
• A smart, passionate team that moves fast, supports each other, and builds cool stuff
• 15 paid vacation days plus 5 paid sick days annually
• Paid access to courses, books, and growth resources
• Real decision-making power and ownership of your results

About the Project: 

We are developing a decentralized lottery platform built on smart contracts and transparent on-chain mechanics. The product integrates blockchain infrastructure, backend services, and a modern web interface to ensure secure transactions, verifiable randomness, and automated prize distribution.

Responsibilities:

— Own setup, maintenance, and validation of GA4 and Google Tag Manager tracking
— Design and maintain a consistent event tracking structure across the platform
— Ensure accurate tracking of key user interactions across the product
— Analyze user behavior and conversion funnels to identify improvement opportunities
— Support product and marketing teams with tracking insights
— Monitor tracking accuracy and proactively identify discrepancies
— Collaborate with product, engineering, and marketing teams on analytics implementation
— Contribute to improving tracking of Web3-specific flows such as wallet connection and transaction steps

Requirements

— Hands-on experience with GA4 and Google Tag Manager
— Experience designing event tracking and working with funnels
— Experience validating tracking implementations and ensuring data accuracy
— Experience working with UTM tagging, including deep links
— Strong analytical thinking and attention to detail
— Ability to work independently on tracking-related tasks
— English level: Intermediate or higher

Nice to have

— Experience with Web3 or blockchain-based products
— Experience with fintech, trading, iGaming, or engagement-driven platforms
— Understanding of wallet-based user flows and attribution specifics
— Familiarity with on-chain analytics tools (e.g. Dune, Flipside, Nansen)

Details:

—  Part-time engagement

—  Fast-paced, product-focused startup environment

—  Emphasis on analytics quality, tracking accuracy, and actionable insights.