Jobs Data Analyst

Location: Remote

Type: Full-Time 

Working hours: Must be available at least until 2:00 PM NYC time (Kyiv time 14:00–22:00)

Salary: Based on experience

Company Introduction

Ultiself is the #1 biohacking and self-improvement app on the App Store and Google Play. We use AI to build personalized daily routines that help people improve their health, productivity, and overall well-being.

Our primary marketing channels are Facebook, Instagram, and TikTok. As we continue to scale, we are looking for a strong Marketing Data Analyst to support and improve our analytics infrastructure, ensure data accuracy, and help drive data-informed decisions across marketing and product teams.

Who We Are Looking For

We are looking for an experienced analyst who: 

• Has strong expertise in marketing and product analytics
• Understands user acquisition funnels, attribution, and conversion tracking
• Can independently identify, investigate, and resolve tracking issues
• Is comfortable working with large datasets and transforming data into actionable insights
• Enjoys working in a fast-paced, growth-oriented environment
• Has strong analytical thinking and problem-solving skills

Main Responsibilities:

• Collaborate with developers to maintain and improve tracking and attribution systems
• Create weekly and monthly reports on marketing and product performance
• Analyze user behavior and identify opportunities to improve conversion, retention, and engagement
• Design, execute, and evaluate A/B tests across landing pages, onboarding flows, and app store listings
• Monitor analytics implementations and quickly resolve tracking discrepancies or data quality issues
• Ensure data accuracy and consistency across all reporting systems
• Conduct competitor research and provide recommendations to improve business performance and conversion rates
• Support decision-making with data-driven insights and clear reporting

Requirements:

• English level B1 or higher
• 3+ years of experience in marketing, product, mobile app, or web analytics
• Strong experience with:
• Google Analytics 4 (GA4)
• Google Tag Manager (GTM)
• BigQuery
• Google Cloud Platform (GCP)
• Amplitude
• Tableau and/or Looker Studio
• Strong understanding of attribution models, conversion tracking, KPIs, and marketing performance metrics
• Advanced Excel/Google Sheets skills
• Strong SQL skills
• Experience building dashboards and visualizing data for business stakeholders
• Ability to work independently and manage multiple priorities

Nice to Have

• Experience with Mixpanel
• Experience with Firebase or other mobile analytics platforms
• Experience integrating analytics platforms such as Amplitude or Mixpanel with AI-powered workflows, models, or automation systems
• Experience in health, wellness, self-improvement, or subscription-based mobile applications
• Experience working with CRM platforms such as ActiveCampaign, Infusionsoft, or similar tools
• Knowledge of Python or other analytical programming languages
• Additional language skills (Ukrainian, Spanish, etc.)

Interview Process:

• Interview with HR (30 mins)
• Interview with Operations Manager and Lead of Analytics (1 hour) 
• Interview with CEO (30 mins)

What We Offer

• Fully remote work with flexible hours
• 5 paid sick days per year
• 20 paid vacation days per year (after probation period)
• Opportunity to work on a fast-growing global product
• A collaborative team with real opportunities for professional growth and career development

Please send your resume and we will get back to you within 5-7 business days.

We look forward to hearing from you and potentially building something great together!

Summary

• Senior Data Analyst with experience in cloud databases, data pipelines, and advanced SQL/NoSQL.
• Experienced in Python and AWS services, contributing to semantic search and AI-driven customer-facing platforms.
• Skilled in designing and deploying analytics applications, creating data-driven dashboards, and collaborating in agile, multicultural teams.
• Background in data architecture, automation, and delivering high-quality data products supporting digital transformation.

Job Description

The Senior Data Analyst role is a critical position within a travel agency company, focusing on enhancing a customer-facing platform integrated with an intelligent chatbot. The primary objective is to analyze customer requests and behaviors to improve the recommendation and matching process, addressing challenges such as interpreting general customer inquiries and uncovering implicit preferences.

The project centers on a platform designed to assist users in selecting suitable travel offers through an integrated chatbot. A key challenge addressed is the interpretation of general customer requests that lack explicit preferences, requiring advanced analysis to infer user expectations.

Role and Responsibilities

• Collaborate with cross-functional agile teams, including developers, architects, QA engineers, business analysts, product owners, and technical leads, to deliver semantic search functionality and data-driven services.
• Define, document, and communicate business, user, and system requirements, supporting the full requirements lifecycle from planning and elicitation through testing, delivery, and business acceptance.
• Analyze complex business problems, identify relevant data sources, and evaluate solution options to provide data-driven recommendations to stakeholders.
• Design and deliver high-quality data products, dashboards, and analytics solutions that support business growth and digital transformation across key markets.
• Create meaningful dashboards focused on answering key business questions and enabling self-service analytics.
• Work with cloud databases, data pipelines, and database structures, collaborating closely with data engineers and contributing to discussions around data architecture and solutions.
• Design, build, test, and deploy analytics applications, owning and evolving the AI/Search architecture roadmap in coordination with Domain and Group Architecture teams.
• Ensure solutions balance customer impact, security, compliance, and cost, promoting secure behaviors and security-first practices in all activities.
• Contribute actively to the Analytics community and continuous improvement initiatives within the organization.

Key Skills and Competencies

• Strong analytical and problem-solving skills with the ability to decompose complex problems.
• Excellent communication skills for collaboration with both technical and non-technical stakeholders.
• Experience with cloud databases, data pipelines, and strong SQL/NoSQL capabilities.
• Senior-level proficiency in Python programming.
• Experience with AWS services and the ability to design, build, test, and deploy analytics applications.
• Automation mindset and customer-centric approach focused on delivering high-quality data products and services.
• Passion for continuous improvement, teamwork, and learning new technologies.
• Comfortable working autonomously in ambiguous environments within international and multicultural agile teams.

Technologies and Methodologies: AWS cloud services, Python programming (senior-level expertise), semantic search technologies (advantageous), cloud databases, data pipelines, SQL/NoSQL databases, agile methodologies, and security-first practices.

PAI3 NETWORK

Data & Systems Analyst

Make AI Work in the Real World

Mission

You ensure AI systems operate on real, structured, reliable data.

You own:

Data truth → system reality

About PAI3 Network

We build decentralised AI systems that run locally on PowerNodes.

• Data stays private
• Systems operate in real environments
• AI works with real-world complexity

How We Work

You will:

• Use AI to explore data
• Map systems and data structures
• Ensure real-world correctness

You will NOT:

• Manually write queries as your primary task

Core Responsibilities

Understand Systems

• Analyse enterprise systems (CRM, ERP, etc.)
• Understand real data flows

Map Data

• Define schemas and transformations
• Identify inconsistencies and risks

Enable AI Systems

• Ensure data is usable for agents
• Support integration with real environments

What We Expect

• Strong systems thinking
• Experience with data structures and APIs
• Ability to work across industries
• High attention to detail

Why This Role Matters

If data is wrong, AI fails.

This role is critical.

PAI3 Network

AI that works in the real world.

RedCore is an international business group that creates technological solutions for digital markets. 

Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

Powering Growth from the Core — this is the key mission laid under RedCore’s strong foundation. This is how we consistently stay ahead: by evolving and creating scalable solutions, while remaining committed to open and transparent communication with our partners.

We’re looking for a sharp and driven Product Analyst to join our team!

Requirements:

• At least 2 years of experience in product/ data analytics.
• Strong proficiency in SQL (including advanced queries and window functions).
• Hands-on experience with BI tools (e.g., Tableau, Power BI).
• Expertise in A/B testing: setup, monitoring experiments, and result analysis.
• Understanding of relational database architecture (ClickHouse, PostgreSQL, BigQuery, etc.).
• In-depth knowledge of statistics and hypothesis testing methods.
• Skills in hypothesis validation and data-driven analysis.

Will be plus

• Experience in iGaming or B2C related industry (preferably whale-driven).

Responsibilities:

• A/B test post-analysis (including statistical review and deep dive);
• Researching for insights, opportunities and growth points aligned with department KPIs;
• Micro-segmentation, offer personalization;
• Customer behavior and product usage analytics (including product, website and mobile app data);
• KPI monitoring and alerting, finding 'why?';
• Developing and maintaining BI dashboards;
• Adhoc analytical requests (segmentation, data export, metric snapshots);
• Brainstorming and collaboration with different business streams;
• Automate recurring analysis tasks to reduce manual overhead.

Our benefits to you:
- Modern corporate equipment based on macOS or Windows and additional equipment are provided
- Paid vacations, sick leave, personal events days, days off
- Referral program — enjoy cooperation with your colleagues and get the bonus
- Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
- Rewards program for mentoring and coaching colleagues
- Free internal English courses
- In-house Travel Service
- Multiple internal activities
- Other benefits could be added based on your location

About the Project

We are looking for a Data Analyst to join an international project focused on large-scale data aggregation and operational support. This role combines data analysis with operational responsibilities, offering an opportunity to work closely with both internal teams and the client.

Responsibilities

• Analyze large datasets and provide actionable insights.
• Validate business hypotheses and support data-driven decision-making.
• Write, optimize, and maintain SQL queries.
• Investigate client-reported issues and perform data validation.
• Conduct root cause analysis and assist in resolving operational incidents.
• Support day-to-day operational processes and client requests.
• Collaborate with cross-functional teams and stakeholders.

Requirements

• Solid knowledge of SQL, Python, and Excel.
• Strong self-management and ability to work autonomously.
• Experience working in distributed or remote teams.
• Ability to operate effectively in a dynamic, operational environment.

• Flexibility to occasionally support business needs outside standard working hours.

   

Working Conditions

• Working schedule: Sunday–Thursday (Ukraine time zone).
• Strong focus on information security and data confidentiality.

Hiring process

1. HR interview
2. Logic assissment
3. Python assissment 
4. Technical interview
5. Client interview

About Us: Fractal is a dynamic and innovative AI company that is committed to delivering cutting-edge solutions to our clients. We are currently seeking a talented and experienced Power BI developer to join our growing team.

Responsibilities: 

• Lead the effort to gather requirements and design in order to develop and implement Microsoft Power BI solutions in Microsoft Azure environment applying best practices to the development lifecycle
• Lead and manage architecture solutions as well as support and development of ad hoc and long-term Microsoft BI solutions and Power BI reports
• Working with end-users to design and build dashboards and customizations to meet their requirements
• Oversee design of data models and designs required to implement performant Microsoft BI solutions and Power BI reports
• Troubleshooting and resolving issues related to performance, environments, monitoring and operability of Power BI service (dashboards/reports)
• Build and manage relationships with key stakeholders across business and IT units
• Propose and promote design and development best practices in Power BI solutions
• Work with IT team closely to perform data extraction and data transformation processes to create the data set required for the dashboard
• Scale, maintain and improve existing solutions

• Prepare holistic documentations (process and technical) to enable proper knowledge transfer of both process and solution to the production team

   

Qualifications: 

• 3+ years in Analytics/Visualizations, with a solid project portfolio
• Strong experience in Power BI, including DAX and M languages
• Strong knowledge of SQL
• Experience of defining and implementing Power BI architecture and deployment models for a range of use cases
• Hands-on working experience with Power BI to author queries, datasets, visuals & reports
• Experience of defining and configuring the security model within Power BI deployments

• Upper-intermediate English or above, both spoken and written, is a must

   

We offer:

• Best team: a multicultural team of bright specialists and friendly, helping people (data scientists, ML/AI specialists, data engineers, developers, business analysts, QA team, as well as internal support staff);
• Challenge: plenty of complex and exciting projects with Fortune 500 clients;
• Working hours: 11:00 AM—8:00 PM, Ukraine time;
• Leave: paid leave of 27 business days per year;
• Salary review once a year, annual bonus 
• Being healthy: health insurance, reimbursement for psychological counselling
• Learning and professional development: access to company learning platforms with free courses (ie Coursera corporate), external certifications and learning programs, English classes;
• No micromanagement: we encourage self-organization and trust

Terravo Group is a performance marketing company specializing in media buying and scaling advertising campaigns.

We are looking for a Creative Data Analyst to join our Design team. In this role, you will help drive data-informed decisions by analyzing creative performance, identifying trends, and providing actionable insights to improve advertising results.

Key Responsibilities

• Analyze the performance of advertising creatives using key metrics such as CTR, CPC, CPM, CPA, CVR, ROAS, and others.
• Prepare reports and dashboards for designers and media buyers.
• Identify patterns in top-performing creatives and provide recommendations to the creative team.
• Analyze A/B test results and determine the most effective creative approaches.
• Work with large-scale marketing datasets.
• Collaborate closely with Design, Media Buying, and Analytics teams to improve campaign performance.
• Automate reporting processes and optimize data analysis workflows.

Requirements

• At least 1 year of experience as a Data Analyst, Marketing Analyst, or Product Analyst.
• Strong proficiency in Microsoft Excel or Google Sheets.
• Hands-on experience with SQL.
• Experience using BI tools such as Power BI, Looker Studio, Tableau, or similar platforms.
• Strong analytical mindset and the ability to work with large datasets.
• Understanding of digital marketing and key advertising performance metrics.
• Previous experience in performance marketing, affiliate marketing, or media buying is a strong advantage.

Nice to Have

• Knowledge of Python (Pandas).
• Experience with statistical analysis and A/B testing.
• Understanding of advertising platforms such as Meta Ads, Google Ads, TikTok Ads, and similar ecosystems.

What We Offer

• Competitive salary.
• Fully remote work.
• Flexible working hours with no office attendance requirements.
• Opportunity to work with large-scale marketing data using modern analytics tools.
• Professional growth, a supportive team, and the opportunity to make a direct impact on the development of the Creative department.
• An open and transparent company culture built on trust, ownership, and results.

If you're passionate about working with data, uncovering meaningful insights, and seeing the direct impact of your work on advertising performance, we'd love to hear from you.

Send us your resume and join Terravo Group - a team that values initiative, continuous growth, and measurable results.

About us:
 

BetterMe — a global wellness ecosystem empowering millions to become better — physically, mentally, and emotionally. We build what makes people better and keep challenging ourselves to inspire others.

Your impact:
 

• Primarily work with Marketing team and help to make correct data-informed decisions;
• Automate the management and monitoring of marketing platforms (e.g., campaign status tracking, performance monitoring, budget control, anomaly detection);
• Build scripts and tools to interact with ad platform APIs, streamline routine tasks;
• Create AI-assisted workflows using LLM APIs;
• Develop and support dashboards and reports that provide transparency into campaign performance and business KPIs;
• Contribute to our internal BetterBI system, consolidating marketing, financial, and product data.
• Help design a scalable and maintainable analytics infrastructure and improve internal data workflows.

About you:
 

• 2+ years of experience as a Data Analyst in a product-oriented company;
• Analytical mindset; ability to structure information and dive deeper when it is needed;
• Full proficiency in SQL and Excel;
• Hands-on experience with BI tools and data visualization (e.g., Tableau);
• Confident Python skills for data manipulation and scripting;
• Strong English written/verbal communication skills.
• Practical experience using ChatGPT, Gemini, or other LLM APIs, with a good grasp of prompt engineering to solve business tasks
   

Will be a plus:
 

• Experience working with product analytics platforms (Amplitude, Firebase, AppsFlyer, etc.);
• Understanding of A/B testing methodologies and experimentation frameworks;
• Experience working with digital marketing platforms (e.g., Meta Ads, Google Ads, TikTok Ads) via APIs.

What you get at BetterMe:
 

A mission that inspires. Every line of code, every design, every idea helps millions of people become healthier and more confident.
Trust without micromanagement. You manage your time and make decisions independently. We value outcomes, not online hours.
Growth opportunities. 90% of our leads have grown within the company. There’s space for initiative, new responsibilities, and real career upgrades.
Flexible work format. Choose what works best for you — office, remote, or hybrid.
Wellness in practice. Offline: workouts with professional trainers in our corporate gym, massage, corporate lunches, sports, and team activities — everything you need to recharge and reset together. Online: regular online workouts, partner discounts, and free access to our products.
Health insurance & corporate doctor.
Open communication. Transparency across teams, honest feedback, and support for initiatives are part of our everyday culture.
Support for sports events. We cover entry fees and encourage the team to compete and participate together.
Modern equipment. We provide new hardware and everything you need for productive work.
Legal & finance support. Experienced lawyers and financial specialists are always there to help — from documents to personal consultations.
An ambitious environment that gets recognized. Over the past two years, the BetterMe team has doubled in size, and we were named among Forbes’ Top 10 Best Places to Work in 2026.

Find more about us on social media platforms: Instagram, LinkedIn.

Our client is leading supplier of sports analytics to its clients. Using cutting edge Computer Vision and AI/ML technologies, the company provides outstanding real-time sports performance analysis. As an analyst you will be responsible for providing quality statistics for ice hockey games using client's proprietary tools.

Job Description

- Confident PC user (Windows)
- Basic English
- Extensive internet research skills
- Creative problem-solving and analysis skills
- Team player with good interpersonal and solution-oriented attitude
- Readiness to work in shifts (mandatory)
- Stress-resistance
- Ice Hockey knowledge is very beneficial, actual hockey playing skills are not required
- Video gaming experience also useful
 

Job Responsibilities

- Analyze ice-hockey games and record key events as they occur such as successful pass, penetration of offensive zone, faceoff win, etc. (40+ total event types)
- Check the quality of content and do an analysis of quality data
- Work on various data tools and generate information by doing online research
- Provide inputs/content with high quality
- Ability to identify and verify source authenticity
- Solve complex problems in time-bound and effective manner
- Ability to analyze data by doing secondary research
 

We are looking for an experienced Product Analyst with real product analytics experience (Amplitude, A/B testing, BI tools, SQL) and strong communication skills. This role is focused specifically on product analytics, so we are seeking candidates with a product background rather than marketing, finance, or pure engineering analytics. Experience working in a product company is preferred, and gamedev experience will be a plus.

📍 What to Do

• Work across multiple product teams (VIP, CRM, antifraud, finance and others), not tied to a single team
• Build dashboards, calculate experiment results, write feature research, manage event tracking, and handle ad hoc requests
• This role does not involve marketing analytics or data engineering tasks
• Maintain a strong product mindset: not just analyzing numbers but proposing hypotheses and improving the product
• Create insightful reports, dashboards, and automated solutions
• Support the product team with data-driven insights
• Design, run, and interpret A/B tests
• Solve data-related issues using strong problem-solving skills
• Collaborate with teams to shape the product vision through data insights

🦸 Your Superpowers

• 3+ years of relevant experience as a Product Analyst (Middle+ level, ideally closer to Senior)
• Experience with product analytics, improving conversion and retention, A/B testing, and product experiments
• Strong analytical and problem-solving skills
• Hands-on experience using Amplitude (in some cases Mixpanel) as a primary analytics tool
• Advanced SQL skills and experience working with DWH systems (Redshift, BigQuery, ClickHouse, Snowflake or similar), including CTEs, window functions, and query optimization
• Experience with BI platforms such as Tableau, Looker, Power BI, Apache Superset or similar
• Willingness to work with AI tools such as Claude or ChatGPT and integrate AI into analytics workflows
   

🤘 Bonus Points

• Experience with dbt (optional, can be learned)
• Experience with modern data stack and infrastructure as code
• Experience with BI tools such as Looker or Lightdash
• Python skills for data manipulation and analysis
• Experience with Airflow DAGs
• Understanding of dbt and data modeling concepts

🍪 Team Perks 

• PRO&BRO team you’ll love creating new gaming universes with 
• Totally remote work from wherever you grind
• An equipment budget to upgrade your home office
• Flexible schedule with no time trackers since we just focus on results
• A performance-based bonus twice a year for every mojamer as a nod to our shared achievements 
• Wellness Bonus for the gym, yoga, dance, massage, therapy, or anything that keeps your energy up
• Level up your skills with our internal knowledge-sharing project Yoda. We also cover training, certifications, English & Ukrainian classes
• Days off and gifts for milestones of your choice (birthday, anniversary, baby arrival, or wedding) 
• JAM Activities: workations twice a year in different corners of the world, epic offline teambuilding events, CS2 and Dota tournaments, quizzes, lectures, and plenty of other hangouts for the team
• Plus relocation support, a Maternity/Paternity Leave Policy, a referral bonus, and a whole bunch of other cool perks you can check out on our website

Join us if this is all about you. We are waiting for your application!

Let’s Add More Jam Together 🚀

About the role

Our client is private equity investor backing growth-stage software companies. Their portfolio companies have strong product-market fit but, being young, lack consistent commercial KPI definitions — so there is no clear, comparable view of performance. This hands-on interim role brings standardized, board-grade commercial reporting into these companies one at a time, starting with ARR and "snowball" analytics, until the reporting is built, trusted, and handed over.

What you'll do

• One company at a time. Embed with a portfolio company and take it through the data maturity curve; each company is a discrete project, worked back-to-back with the next.
• Build the numbers. Create unified commercial reporting from the ground up, starting with ARR and snowball analysis (New, Upsell, Downsell, Churn) to give leadership an accurate view of performance.
• Find the truth. Work out who to ask and where the data lives; partner directly with the CFO or C-1 level and the company's data team where one exists.
• Get it right. Pull together, clean and reconcile data from disparate systems (billing, general ledger, contracts, CRM) into a single source of truth reconciled to the finance ledger — accuracy is the most important outcome.
• Hand over. Once built and validated, transfer ownership to the portfolio company and move to the next project.

What we expect

• Finance & data expertise. Deep expertise in finance and in data and its analysis — able to stand behind your numbers and push back with C-level stakeholders on the strength of that expertise.
• SaaS metrics fluency. Confident with ARR, NRR, churn, snowballs and billings-to-revenue reconciliation.
• Business x technical. Genuinely comfortable at the intersection of business and technical — equally at ease with a commercial conversation and a hands-on build. This matters most; it is not a pure data-engineering role.
• Hands-on delivery. Able to build analyses end-to-end on a modern data stack — Python and SQL, in environments such as Databricks, Azure or GCP — working independently across companies with or without their own data teams. Tooling around the core can be handled pragmatically, including with AI.

Engagement details

• Format. Interim contract, full-time capacity; back-to-back projects across the portfolio. Individual projects run from ~3 months to over a year depending on size and complexity.
• Location. Fully remote. Occasional travel (a few days per month) is welcome but not a hard requirement. Some companies may provide their own device.
• Team & growth. First of several sequential hires as the portfolio scales. Start ASAP; a ramp-up curve is expected.

 We are looking for a Senior Data Analyst to join our Identity team.

This is not a classic BI/dashboard role. You will work on large-scale identity resolution, AI scoring systems, data quality, and product decision-making.

We process 70+ TB of data and run 20M+ enrichment operations daily across multiple data sources.

You will work directly with Product and Engineering and own analytics for one of the core business domains.
 

🟢 What You’ll Do

• Build frameworks to measure data quality, match rates, AI scoring accuracy, ROI
• Analyze and improve LLM-based scoring systems together with engineers
• Compare external data providers and identify highest-value sources
• Investigate mismatched / conflicting data across systems
• Support internal teams with audience, campaign, and performance analysis
• Detect pipeline or provider quality issues early and drive fixes
• Turn ambiguous business questions into clear decisions
   

🟢 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. Can read and write complex queries on tens of terabytes without someone pre-modelling the data.
• Python for analysis at a working level — pandas, Jupyter, or equivalent. Can write a small script or helper when an existing tool doesn't cover the case.
• Built measurement or evaluation frameworks from scratch for systems with no baseline — candidate defined what to measure and how, not consumed someone else's KPI.
• Comfort with probabilistic systems — understands noise, ranking, scoring, and that 100% accuracy is not a goal.
• AI-native workflow — uses Claude Code, ChatGPT, Copilot, or similar AI tools daily in their process.
• English: B2+ (Upper-Intermediate) or higher.
   

🟢 Strong Plus

• LLM evaluation / prompt testing
• Identity graph / AdTech / MarTech experience
• Healthcare / pharma data experience
• A/B testing / experimentation
   

🟢 We Offer

• Fully remote
• Flexible hours (CET ±2 overlap)
• High ownership / direct impact
• AI-native environment
• Fast decisions, low bureaucracy

We're hiring a Data Analyst to join a fast-growing UK-based PropTech startup transforming the residential lettings and property management industry.

The company combines modern SaaS technology with AI-driven automation to streamline property operations, tenant management, payments, maintenance, and internal workflows. As the business scales through acquisitions, the platform plays a key role in standardizing operations, improving efficiency, and delivering a better experience for landlords, tenants, and internal teams.

You'll work closely with Product, Engineering, Operations, and Commercial teams, turning complex business data into actionable insights that influence product decisions and business growth.
 

Responsibilities

• Analyze large datasets to identify trends, bottlenecks, and growth opportunities.
• Define, measure, and monitor KPIs across product and business operations.
• Build dashboards, reports, and self-service analytics for different stakeholders.
• Partner with Product and Engineering teams to evaluate feature performance and support data-driven decision making.
• Translate ambiguous business questions into structured analytical frameworks.
• Improve data quality, reporting consistency, and analytical processes.
• Present insights and recommendations to both technical and non-technical stakeholders.
   

Requirements

• 3+ years of experience in Data Analytics, Business Intelligence, or a similar role.
• Strong SQL skills (required).
• Experience with BI tools such as Looker, Power BI, Tableau, Metabase, or similar.
• Strong analytical and problem-solving skills.
• High attention to detail and commitment to data accuracy.
• Ability to communicate business insights clearly.
• Comfortable working in a fast-paced startup environment.
• Upper-Intermediate+ English.
   

Nice to Have

• Experience working with product analytics.
• Experience in SaaS, PropTech, FinTech, or other high-growth technology companies.
• Familiarity with experimentation, KPI design, and data-driven product development.

We are looking for a skilled FP&A Analyst to join our customers' team.

Key responsibilities

• Ensure data accuracy through validation processes and financial controls
• Manage and analyze usage-based and revenue-sharing (revshare) models
• Review and approve commercial agreements from a financial perspective
• Perform financial forecasting, budgeting, and variance analysis
• Deliver ad hoc analysis to support key business decisions

• Partner with cross-functional stakeholders to align financial insights with company strategy

   

Requirements

• 5+ years of FP&A experience, preferably in a global SaaS company
• Advanced Excel skills, including Power Query (mandatory)
• Advanced SQL (mandatory)
• Strong analytical mindset with exceptional attention to detail
• Proven ability to communicate insights clearly and partner with stakeholders
• Excellent English (written and verbal)

The company is building a healthcare-focused adtech platform that enables precise targeting of healthcare professionals using large-scale data and AI.

We’re looking for a Senior Data Analyst to define how we measure data quality, evaluate AI/LLM-based scoring, and generate insights that support product, sales, and media buying teams. You’ll work with 70+ TB of data, design evaluation frameworks from scratch, and help optimize performance, cost, and data pipelines.

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.