Jobs Data Analyst

Intermediate Data Analyst 

Full-time, contract 12+ months

The role

Reporting to the Data Lead, you will be responsible for delivering analytical outputs, maintaining data integrity, and supporting the development of reusable analytics assets. Your key responsibilities will include:

Data Analysis & Insight

·         Understand business problems and translate them into analytical approaches, delivering clear, evidence‑based insights.

·         Prepare and present dashboards, reports and ad‑hoc analyses that inform client and internal decision making.

·         Apply statistical methods and exploratory analysis to identify trends, anomalies and opportunities.

·         Write clear, concise commentary and visualisations to support findings and recommendations.

Data Engineering & Quality

·         Extract, transform and load data from multiple sources, ensuring accuracy and reproducibility.

·         Build and maintain ETL scripts, queries and data models using SQL and relevant tools.

·         Implement data validation checks, maintain data dictionaries and drive improvements in data quality.

·         Collaborate with engineering teams to support data pipeline reliability and scalability.

Collaboration & Delivery

·         Work alongside consultants, product owners and client stakeholders to scope analytical requirements and deliverables.

·         Contribute to project planning, estimation and delivery, adhering to timelines and quality standards.

·         Share knowledge and best practice through documentation, code reviews and mentorship.

·         Support proposal and pitch activities by preparing sample analyses and technical inputs.

About you

You are a pragmatic Data Analyst who balances technical rigour with effective communication. You take pride in producing reliable, well‑documented analysis and enjoy working collaboratively to solve business problems. You will bring attention to detail, a learning mindset and the ability to present complex information clearly to non‑technical audiences.

·         Proven experience in a data analytics role (consultancy, corporate or scale‑up environment preferred).

·         Strong SQL skills and experience working with relational databases.

·         Experience with data visualisation tools (e.g. Power BI, Tableau, Looker) and building dashboards.

·         Familiarity with scripting for analysis (Python or R) and common libraries (pandas, numpy, tidyverse).

·         Understanding of data modelling, ETL principles and data quality testing.

·         Excellent written and verbal communication skills with experience presenting to stakeholders.

·         Strong problem‑solving skills, curiosity and the ability to work independently and as part of a team.

·         Degree in a quantitative discipline or equivalent practical experience.

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

Job Description:

We are looking for a strong middle/senior Power BI Developer with strong expertise in Power BI and related technologies to join our team. The ideal candidate will be responsible for designing, developing, and maintaining interactive dashboards and reports that provide actionable insights to support business decisions.

Key Responsibilities:

• Develop and maintain Power BI dashboards and reports;
• Implement data models, DAX calculations, and RLS for secure data access;
• Collaborate with business analysts and stakeholders to understand requirements and deliver effective BI solutions;
• Optimize data processes and troubleshoot issues to ensure high performance;
• Work with Microsoft Fabric and integrate solutions with Power Platform (Power Apps, Power Automate) and SharePoint Online when required.

Core Requirements:

• Minimum 3 years of experience with Power BI;
• Ability to create interactive reports and dashboards;
• Knowledge of DAX, Power Query, Data Modeling, and Row-Level Security (RLS);
• Experience with Microsoft Fabric;
• Experience with Power Platform (Power Apps, Power Automate) – optional, considered a plus;
• Experience with SharePoint Online and SharePoint Lists – optional, considered a plus.

Analytical Skills:

• Ability to analyze business requirements and transform them into effective BI solutions;
• Skills in process optimization and problem-solving.

Communication Skills:

• Ability to work collaboratively with analysts and developers;
• Strong presentation skills to clearly communicate results.

Education:

• Preferred: Degree in Computer Science, IT, or related fields.

Other Requirements:

• Results-oriented with strong attention to detail;
• Ability to work in a dynamic environment;
• English proficiency: B2 level.

Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html

Our partner is the world’s pioneering local delivery platform, whose mission is to deliver an amazing experience—fast, easy, and right to your door is looking for a Marketing & Growth Analyst (Data & Product Analytics Focus).

Main Responsibilities:

– Own and deliver end-to-end local growth and product analytics projects with high level of ownership, working with the HQ (Spain) and the cross-functional teams (Loyalty & Promo, Prime, Pricing, Commercial and Q-commerce) for a seamless implementation;

– Be the country point of contact for Pricing, Retention and Loyalty programs as well as Priority Cities growth ad-hoc projects;

– Analyze user behavior, product funnels, and cohort performance to identify growth and retention opportunities;

– Translate data into clear insights and actionable recommendations;

– Take ownership of the growth and product reporting OKRs building and maintaining customized reports using existing and new datasets;

– Build and maintain SQL queries, reports, and dashboards to support business decisions;

Mandatory Requirements:

– 2+ years of experience in data analytics or product analytics;

– Strong SQL skills and experience working with large datasets and user/product data;

– High proficiency in Excel / Google Sheets;

– Fluent English (must-have) for daily communication with HQ teams (spoken and written);

– Strong communication and presentation skills, with ability to translate complex data into clear, actionable business insights for both technical and non-technical stakeholders (including HQ in Spain);

– Understanding of key product and growth metrics (retention, churn, conversion) and ability to derive insights from them;

– Experience with BI tools (Looker, Tableau, Power BI, Amplitude) or ability to quickly adapt to new tools;

Nice to have:

– Basic knowledge of Python (or willingness to learn);

We offer:

– An enticing equity plan that lets you own a piece of the action (if applicable);

– Official employment in full compliance with local labor laws (paid vacations and sick leaves);

– Top-notch private health insurance to keep you at your peak;

– Monthly credit to satisfy your cravings;

– Discounted gym memberships to keep you energized;

– Online therapy and wellbeing benefits to ensure your mental well-being;

We are looking for an analytical specialist focused on affiliate traffic validation, fraud detection, and reconciliation.
The role sits between Affiliate, Finance, and Anti-Fraud teams, ensuring traffic quality, payout accuracy, and data consistency.

What you will do:

• Analyze affiliate traffic (CPA / RevShare / Hybrid models)
• Detect fraud patterns: bot traffic, duplicates, incentive and low-quality traffic
• Perform regular reconciliation of traffic, conversions, and commissions
• Prepare and validate payout calculations
• Ensure accuracy and timeliness of payouts
• Communicate with partners regarding discrepancies and fraud cases
• Align final reconciliation results with affiliate partners

• Support Affiliate Managers with traffic validation and analysis

   

Requirements:

• Strong experience in affiliate traffic analysis, anti-fraud, risk, BI, or related roles.
• Understanding of affiliate models (CPA / RevShare / Hybrid).
• Experience with reconciliation or payout calculations.
  Advanced Excel / Google Sheets and BI tools (Power BI / Tableau or similar).
• Understanding of tracking systems, postbacks, and attribution logic.
  Knowledge of anti-fraud principles: bot traffic, duplicates, incentive traffic, chargebacks, basic AML/KYC.
• Intermediate+ English (B1–B2+) for partner communication, explaining discrepancies, and aligning payouts.

• Experience in iGaming / Betting / Gambling and large-scale traffic analysis is a plus.

   

What we offer:

• Remote work with a flexible morning start
• Unlimited paid vacation days
• 10 paid sick leave days
• Necessary work equipment and tools
• Compensation for sports activities, language learning, or professional courses
• Gifts for important life events
• Employee referral bonus program
• Opportunities for professional growth and development
• No micromanagement and fast decision-making processes

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 looking for a Business Analyst  with experience in Microsoft Dynamics Business Central to join our team. This role involves close collaboration with business stakeholders, analysis of processes, and implementation of ERP solutions.
 

🔧 Responsibilities

• Analyze and document business requirements
• Gather and formalize functional requirements
• Configure and support Microsoft Dynamics Business Central
• Participate in ERP implementation projects
• Communicate with stakeholders and end users
• Prepare documentation (BRD, SRS, user stories)
• Participate in testing and go-live activities
• Provide post-release support
   

✅ Requirements

• 3+ years of experience with Microsoft Dynamics Business Central (or NAV)
• Understanding of business processes (finance, supply chain, sales, procurement)
• Experience in writing business and technical documentation
• Experience in ERP implementations
• Strong communication skills
   

➕ Nice to have

• Experience with AL development or understanding of BC customization
• Experience with system integrations
• Microsoft Dynamics certifications 

Location: Remote

Your expertise:

• Degree in Statistics / Mathematics or Finance
• SQL knowledge on a good level
• Good theoretical background in math’s and statistic
• Good understanding of predictive analytics
• Experience building visualizations in Tableau or other similar tools
• Experience working with data received from Google Analytics, AdWords, Facebook, etc.
• Understanding of LTV / CAC, Conversion Rate, Cohort analysis, Retention Rate
• Understanding of digital marketing, especially PPC and SEO fields
• Analytical mindset
• Upper-intermediate English (written and spoken)
• Minimum 3 years of experience on similar position
• Python, R knowledge will be a plus

What’s in it for you?

• Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers
• Opportunity to make a difference for online privacy, freedom of speech, and net neutrality
• Decent market rate compensation depending on experience and skills
• Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
• Support of personal and professional development
  • coverage of costs of external trainings, conferences, professional literature
  • support of experienced colleagues
  • in-house events and trainings
  • regular knowledge sharing in teams
  • English classes and speaking clubs
• Life-balance support
  • 25 working days of vacation
  • 5 days of paid sick leave per year without providing a medical certificate (no limitation on sick leaves with medical confirmation)
  • generous maternity / paternity leave program
• Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it

You will be involved into:

• Provide Product Pod with deep insights regarding all activities
• Support in decision-making
• Building forecasts and prediction models
• Data analysis to detect the reasons of deviations in the main and secondary metrics
• Help maximize revenue by bringing early attention issues or changes in trends related to our products, business practice, processes, finances, and accounting
• Ensure that data is tracked in the proper manner
• Looking for alternative data sources and tools
• Initiate deep digging analysis
• Create visualizations and presenting them to the stakeholders

About the company and project:

ZONE3000 is proud to represent its partnership with Namecheap . Namecheap was founded in 2000 on the idea that all people deserve value-priced domains delivered through stellar service. Today, Namecheap is a leading ICANN-accredited domain name registrar and web hosting company with over 16 million customers and 19 million domains under management — and we’re just getting started.

Our culture is built on the values that we live every day: the way we work, the way we collaborate with our global network of colleagues and the way we relentlessly innovate solutions that meet the emerging needs of our customers.

Performance Analyst will become a member of a professional and motivated team. Our main goal is to transform data into knowledge. Performance Analyst will work closely with the Product Team and will help with data analysis, finding patterns, looking for hidden correlations, assist in managing the pricing policy.We are Business Intelligence team solving business challenges with innovative technology solutions. Experienced in setting up BI, ETL, DW and ML solutions. Currently we are working on a new project and we are looking for a Data Engineer, who will take part in a building solution from the scratch.

We are looking for a Data / Analytics Engineer to join an ongoing initiative focused on building a scalable, AI-driven data platform for product analytics.
This is a new role within an existing analytics team, where you’ll help architect and build the core data layer that will enable self-service analytics across the company. The role combines hands-on data engineering with forward-looking AI automation initiatives.

Client/Project: is a global DevOps company.
The project focuses on building a Gold data layer that enables product and business stakeholders to access ready-to-use, reliable datasets without relying on ad-hoc requests.
It’s a complex and high-impact domain, where:

• you will design and build a scalable data model from multiple sources (Snowplow, FullStory, internal systems)
• the team is transitioning to an AI-first development approach (Cloud Code, Codeium - no manual SQL writing mindset)
• AI agents are a core part of the vision (automating data transformations and schema evolution)
• the work has a direct impact on decision-making across a ~600-person product organization

Cooperation: full-time, short-term (6 months with the high possibility of prolongation)
Stage: existing (early stage of data platform transformation - Gold layer not yet built)
Position: new
Timezone requirements: CET ±2h preferred
Location requirements: Remote
Client team: Analytics Guild (up to 9 people)
English: Upper-Intermediate+

Requirements:

• 4+ years of experience in Data Engineering / Analytics Engineering (Mid+ or Senior level)
• Strong SQL skills (advanced: window functions, CTEs, joins, performance tuning)
• Hands-on experience with dbt (models, testing, documentation)
• Experience with Amazon Redshift (or strong AWS DWH background)
• Solid understanding of data modeling (dimensional modeling, medallion architecture)
• Experience with Python for data pipelines, integrations, or data quality
• Practical experience using AI coding tools (Copilot, Codeium, Claude, etc.) in daily work
• Experience working with product/event data
• Strong ownership and ability to work autonomously
• Clear communication skills and the ability to work with non-technical stakeholders

Nice to have:

• Experience building or experimenting with AI agents (LangChain, OpenAI API, etc.)
• Familiarity with Snowplow or similar event tracking tools
• Familiarity with FullStory or behavioral analytics tools
• Experience with AWS ecosystem (S3, IAM, etc.)
• Experience with orchestration tools (e.g., Airflow)
• Understanding of BI tools (e.g., Looker) and data consumption patterns

Responsibilities:
This role evolves in two main phases:
Phase 1 (Months 1-4): Building the Gold Layer

• Design and implement Gold-layer data models in dbt
• Transform raw and Silver-layer data into business-ready datasets
• Integrate multiple data sources (Snowplow, FullStory, internal systems)
• Collaborate with the analytics team to translate business needs into reusable models
• Identify and fix inconsistencies in existing data layers
• Establish data quality, monitoring, and observability practices

Phase 2 (Months 4-6+): Automation & AI

• Design and build AI agents for automating data workflows
• Develop systems that detect new incoming events and suggest schema placement
• Automate maintenance of the Gold layer
• Explore and implement AI-driven approaches for data transformations

Ownership areas:

• Gold data layer architecture
• Data quality and reliability
• AI-driven automation of data workflows
• Collaboration with analytics stakeholders
• Long-term scalability of the data platform

Benefits from 8allocate:

• Team & Culture: Team events, offsites, and a culture that keeps people connected.
• Learning & Development: Budget for courses, certifications, and conferences.
• Well-being: Flexible support in line with company policy, with options to support your physical and mental well-being (sport, mental health, or medical insurance).
• Rest & Recovery: Paid vacation and sick leave.

Bamboo Card is a leading e-gift card distribution agency, with an API and a commitment to
delivering seamless and innovative solutions to our clients. Join our growing team and be part
of a company that values excellence, collaboration, and continuous improvement.

About the Role:
We are looking for a hands-on Data / Analytics Engineer to design, build, and scale our data platform. This role will be responsible for building our data warehouse, developing ETL pipelines, creating Power BI dashboards, and leveraging AI-driven analytics to unlock business
insights and forecasting capabilities.

You will work closely with business, product, finance, and engineering teams to turn raw data
into actionable intelligence

Job requirements

• Bachelor’s degree in computer science, Data Engineering,       Information Systems, or a related technical field.
• Minimum of 6 years of hands-on experience in data engineering, ETL/ELT development, and data platform implementation.
• Strong experience with Power BI
• Strong SQL skills
• Experience building ETL pipelines
• Experience with AWS Redshift (or similar data warehouse:Snowflake, BigQuery)
• Knowledge of data modeling best practices
• Understanding of REST APIs and data integrations
• Experience using AI/ML tools for forecasting or analytics
• Familiarity with predictive modeling techniques
• Knowledge of statistical analysis

Nice to Have:
• Experience with AWS ecosystem (Aurora, RDS, Glue)
• Experience with Airflow or orchestration tools
• Knowledge of dbt
• Experience with financial or transactional datasets

You should also have:
• Strong analytical thinking
• Business-oriented mindset
• Ability to translate data into strategic recommendations
• Independent, proactive, and ownership-driven
• Strong communication skills

Job responsibilities

Business Intelligence & Reporting:
• Design and build interactive Power BI dashboards and reports
• Translate business requirements into data models and visual insights
• Maintain and optimize semantic models and data performance
• Ensure data accuracy, consistency, and usability

Data Engineering & ETL:
• Design, develop, and maintain scalable ETL/ELT pipelines
• Integrate data from multiple sources (APIs, databases, third-party systems)
• Implement data transformation and validation processes
• Automate data workflows and monitoring

Data Warehouse Architecture:
• Design and implement a modern data warehouse (AWS Redshift preferred)
• Define data models (star schema, dimensional modeling)
• Optimize performance and cost efficiency
• Ensure security and access control best practices

AI & Advanced Analytics
Utilize AI/ML tools for:
• Demand forecasting
• Trend analysis
• Anomaly detection
• Build predictive models to support business decisions
• Explore automation opportunities using AI-driven insights

Business Data Analysis
• Analyze operational and financial data to identify growth opportunities
• Provide insights on revenue, cost optimization, and performance trends
• Work proactively to uncover hidden patterns and strategic improvements

Job benefits

• Opportunity to shape the future of digital gifting in a rapidly evolving global market.
• Collaborative and innovation-driven culture.
• Competitive compensation package.
• Dynamic, multicultural work environment

We are looking for a Business Analyst. Their primary responsibility is to analyse and evaluate various aspects of a business to identify problems, opportunities, and solutions.

✅ Responsibility:

✔️ Manage Product Backlog: Formulating the list of backlog items and prioritising them as per the critical business objectives.

✔️ Provide effective communication to the stakeholders of the project: The BAis the central communicator between the development team and the stakeholders.

✔️ They need to be clear and concise communicators to ensure there is approval of the stakeholders for all major decisions and strategies.

✔️ Create and Maintain Change Requests Associated with the Product: Predominantly an Operational task. The BA will gather and prioritise operational changes and include them within the Product Backlog for future sprint iteration.

✔️ Define Acceptance Criteria for their Product: The BA must know what they want their product features to achieve.Having strongly defined acceptance criteria is vital to ensure

✔️ that the Product performs to the expected standard. A/C's should always be confirmed with Stakeholders and will be used as a baseline for QA to test against.

✔️ Gap Analysis: By comparing the current state of a business to the desired future state, The BA may identify gaps or areas for improvement. This helps in defining project objectives and goals.

✔️ Change Management: The BA will help manage and support the changes brought about by their or BRO recommendations. This can involve developing change management plans, conducting training sessions, and ensuring a smooth transition to new processes or systems.

✔️ Gather Functional and non Functional Requirements: The BA will ensure that all requirements are gathered and that they meet the Product Managers expectations.

✔️ Verify Requirements: Once the requirements, functional and non functional, have been gathered from the Stakeholder the BA will confirm and agree that the requirements are fit for purpose and use.

✅ Requirements:

✔️ 2-3 years of experience BA/Product Manager

✔️ experience with web dev

✔️ Product development architecture

✔️ Scrum and Agile development methodologies

✔️ User experience principles

✔️ Product backlog management

✔️ Coding and designing (nice to have)

Analytical Skills

Ability to analyse various issues and find workable solutions as quickly as possible. Identify, collect and analyse information, use reason to solve complex problems and make decisions based on logical conclusions.

Decision Making

Use technical, analytical and communications skills to make crucial decisions regarding their products success and development. After identifying an issue you must be able to collect and collate all relevant information, find ways of dealing with it, decide on the best option and implement/evaluate the results.

Social Package

📝 Official employment

🏝18 days of vacation

💊 Medical Insurance

🧑🏻‍💻Equipment for work

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 Senior Business Analyst (Data analyst) with strong analytical capabilities and hands-on BI expertise. The ideal candidate is comfortable working independently, fluent in SQL, and able to bridge business while driving data-driven decisions.

Key Responsibilities

• Own reporting and analytics for lending products.
   
• Perform deep, business-oriented data analysis to support strategic and operational decision-making.
   
• Design, build, and maintain BI reports and dashboards (Power BI).
   
• Perform reconciliation analysis across systems (loan data, balances, payments, statuses, etc.).
   
• Translate business requirements into analytical queries and data models.
   
• Validate data consistency across multiple sources (e.g., Salesforce, internal systems).
   
• Identify trends, risks, and performance drivers within loan portfolios.
   
• Support product and operations teams with ad-hoc analytical requests.
   
• Ensure data accuracy and reporting reliability.

Required Skills

• 5+ years of experience as a Business Analyst and Data Analyst in financial services and lending.
   
• Strong business-focused data analysis skills with the ability to interpret data in a business context.

• Understanding of the loan lifecycle, underwriting, servicing, and collections processes.
   
• Advanced SQL skills (complex joins, aggregations, window functions, performance optimization).
   
• Strong experience with BI tools (Power BI required).
   
• Experience building end-to-end dashboards and performance reports.
   
• Experience in reconciliation processes involving financial data (loan balances, payments, etc.).
   
• Ability to work independently with minimal supervision.
   
• Strong communication skills.

Nice to Have

• Experience with Snowflake.
   
• Basic understanding of Machine Learning concepts (risk scoring, segmentation, forecasting).

Profile Expectations

• Strong analytical thinking and business acumen.
   
• Detail-oriented with a strong focus on data accuracy.
   
• Comfortable operating in a fast-paced lending environment.
   
• Able to balance strategic analysis with operational reporting.
   
• Proactive in identifying insights and resolving data issues.

Hi! We’re Leaply — a fast-growing ecosystem of digital and physical products designed to help people build healthier habits and lead better lives. We launched in 2024 and have already seen explosive growth — 10x revenue in the past six months — with strong traction across the US, Europe, and beyond.

At Leaply, we challenge traditional career paths — we value ownership over job titles, and impact over process. As we scale, we’re looking for a sharp, data-driven Analyst to refine our ops team, enhance team performance, and implement scalable systems.

Role Overview:

As an Analyst, you will be the strategic bridge between raw data and operational excellence. You will join our Operations team to drive efficiency across three key pillars: Monetization, Support, and Online reputation. Your role goes beyond just building reports; you will be expected to uncover hidden patterns, propose data-backed solutions, and actively participate in their implementation, including our upcoming AI-driven automation initiatives.

Technical Stack, that you will work with:

• Data Warehouse: Google BigQuery (Advanced SQL is a must).
• Visualization: Tableau (Creating intuitive, actionable executive dashboards).
• Product Analytics: Amplitude (Analyzing user behavior and funnel performance).
• Innovation: Implementation and optimization of AI/LLM tools for operational workflows.

Key Responsibilities:

• Foundation Building & Data Architecture: As the first analyst in this direction, you will own the end-to-end data flow—from querying and structuring raw data in BigQuery to ensuring a "single source of truth" for the entire Ops department.
• Advanced Analytics & Modeling: Move beyond basic reporting. You will develop antifraud models to mitigate risks and design complex behavioral segmentations to understand user lifetime value and churn triggers.
• Performance Monitoring: Architecting the automated KPI ecosystem and health-check dashboards for Payments, Support, and FirstLook.
• Strategic Insight Generation: Conducting high-level deep-dives into payment failure trends, transaction routing optimization, and operational bottlenecks.
• AI & Automation Integration: Leading the charge in implementing AI/LLM solutions—from automated support ticket classification to predictive routing and fraud detection.
• Actionable Implementation: Working as a strategic partner to Ops Leads to ensure your data models translate into direct business growth and process overhauls.

Potential Candidate Profile:

• Experience: 2+ years of experience in Data or Operations Analytics (preferably in Fintech, SaaS, or high-growth startups).
• SQL Mastery: Proficiency in writing complex, optimized queries (CTEs, Window Functions, etc.).
• Visualization Skills: Proven ability to tell a story with data in Tableau, making complex metrics easy for stakeholders to digest.
• Analytical Mindset: Strong understanding of product funnels (Amplitude) and business unit economics.
• Adaptability: A keen interest in AI/Machine Learning and a willingness to experiment with new automation tools.
• Communication: Fluent in translating data findings into clear business recommendations.

Focus Areas (Your Impact)

• Payments: Minimizing cancell rates, optimizing transaction flows, user segmentation etc.
• Support: Analyzing CSAT, other metrics and identifying high-impact areas for AI chatbot implementation.

• Online reputation: Integrating analytical tools for sentiment tracking across different platforms.

   

Why This Role?

• Build the Function from Scratch: You aren’t just joining a team; you are establishing the analytical culture in a team. You will have the autonomy to define the tools, the methodologies, and the standards for how Operations uses data.
• Path to Data Science: This role is designed for growth. With our focus on AI, anti-fraud modeling, and complex segmentations, you will have the perfect sandbox to transition into Data Science or Advanced Machine Learning roles in case you want.
• High Visibility & Ownership: As the pioneer analyst in this direction, your insights will directly influence executive-level decisions. You will see the immediate impact of every model you build.
• AI-First Environment: You won't be stuck with legacy processes. You will be at the forefront of implementing AI-driven operations, giving you a massive competitive edge in the future market.

What you’ll get:

• Competitive compensation and a high-impact role.
• Full Ownership: Freedom to optimize and evolve the support function as you see fit.
• Support from the best: Access to internal professional communities (Marketing, Product, Operations) within the SKELAR network.
• A meaningful mission: Help millions of people live healthier lives every day.

Leaply is backed bySKELAR, a venture builder with over 10 successful B2C businesses. Beyond business, we support the SKELAR Foundation, a charitable initiative created by employees to support the Ukrainian Armed Forces.

Join us in building the next big thing!

We are looking for a Compensation Analyst. 

Requirements

• Skills in building data models
• Advanced proficiency in Excel and Google Sheets
• Experience writing scripts for Excel and using add-ons
• Ability to set up a process for regular data updates (workflow, stakeholders involved, access permissions)

• Experience creating dashboards in Excel or other platforms

   

Will be plus

• Experience building bots on any platform (Telegram, WhatsApp, Facebook; SendPulse, Pipebot, or any other)

   

Soft Skills

• Perseverance
• Meticulousness in working with data
• Attention to detail

Responsibilities

• Extracting data from various information systems, cleaning it, and preparing it for analysis
• Building interconnected tables and dashboards

• Analyzing the obtained data and identifying patterns and dependencies

   

Our stack: Jira, Excel, Google Spreadsheets

Benefits

• An exciting and challenging job in a fast-growing business groups, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more
• Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed
• Beautiful offices in Warsaw, Limassol, Kyiv, Almaty, Yerevan — work remotely or on-site with comfort and enjoy the opportunity to build a network of connections with professionals day by day
• Modern corporate equipment based on macOS or Windows and additional equipment are provided
• Paid vacations, sick leave, personal events days, days off
• ️Corporate health insurance program for your well-being
• 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
• Yoga classes to help you stay active and energized
• In-house Travel Service
• Multiple internal activities: online platform for employees with quests, gamification, presents and news, RedCore clubs for movie / book / pets lovers, special office days dedicated to holidays
• Corporate events, team building

Expert in CCC ONE? Skip the training and start producing with a New York industry leader.

We are representing a premier, family-owned collision repair center in The Bronx with over 40 years of success. As a trusted NYC hub with certifications for Tesla, Mercedes-Benz, and major insurers, this shop provides a high-volume, professional environment where your expertise is the missing piece of the puzzle.

Key Responsibilities:
- Write collision repair estimates within CCC ONE and prepare them for insurance company submission.
- Review detailed vehicle damage information to produce accurate repair proposals that meet both shop standards and insurer expectations.
- Maintain high responsiveness throughout the workday to support daily estimating needs and shop workflow.
- Ensure that estimating work moves quickly so the in-office team can focus on production and customer-facing tasks.
- Assist with broader CCC ONE-related functions, supporting both estimating and general shop management workflows.

Must-Have Requirements:
- Hands-on, prior experience using CCC ONE in a collision repair or insurance environment is strictly required.
- Proven track record of writing collision repair estimates specifically for insurance claims.
- Ability to work autonomously with very limited software training; you must already be well-versed in the platform.
- Ability to maintain a productive full-time remote workflow without constant supervision.
- Comfort working in English; Spanish fluency is a welcome plus, as the team already includes Spanish-speaking members.