Jobs Data Analyst

About the Role

Our client is a global fintech company and one of the world's leading platforms for financial analytics and investment insights. They are looking for a Senior Data Analyst to help drive product decisions through data and uncover actionable insights from user behavior across web and mobile platforms.

Responsibilities

• Analyze user behavior and product performance using raw data.
• Define, track, and optimize key product KPIs.
• Build dashboards and perform deep-dive analyses to support business decisions.
• Design, monitor, and evaluate A/B tests.
• Analyze and improve key metrics, including Conversion, Retention, Churn, Engagement, and Revenue.
• Partner with Product, Engineering, and Business teams to deliver data-driven recommendations.

Requirements

• 5+ years of experience as a Data Analyst in a B2C product environment.
• Advanced SQL skills with experience writing complex analytical queries.
• Hands-on experience with BI tools such as Looker, Tableau, or Power BI.
• Strong understanding of product analytics, web/mobile user behavior, and A/B testing.
• Excellent analytical and problem-solving skills.
• Upper-Intermediate (B2+) or higher level of English.

Senior Data Modelling Analyst

Designs and maintains the data models that underpin analytics and BI reporting, working closely with business stakeholders and data engineers to make sure data structures accurately represent business processes and support reliable, consistent reporting.

Key Responsibilities:

• Design conceptual, logical, and physical data models to support analytics and BI reporting
• Translate business requirements into scalable, well-documented data models
• Define and maintain dimensional models (star/snowflake schemas) for data warehouses
• Partner with data engineers to ensure models are implemented correctly in production
• Maintain data dictionaries, model documentation, and naming standards
• Review and validate data models for consistency, performance, and scalability
• Support ad hoc data analysis and modeling requests from business stakeholders

Requirements:

• 5+ years of experience in data modeling (conceptual, logical, physical)
• Strong expertise in dimensional modeling (star/snowflake schemas) for data warehouses
• Experience translating business requirements into data model design
• Proficiency in SQL and data modeling tools (e.g., ERwin, dbt, Lucidchart)
• Strong understanding of data warehousing concepts and BI/reporting needs
• Strong communication skills to work across business and engineering teams
• Experience maintaining data dictionaries and documentation standards

Nice to Have:

• Experience with a modern cloud data warehouse (Snowflake, Redshift, Synapse, BigQuery)
• Familiarity with BI tools (Power BI, Tableau, Looker)
• Background working in a consulting or client-facing environment

Readdle is a pioneering force in the personal productivity space on Apple devices, having shaped the landscape since 2007. Our mission is to empower individuals and teams with innovative technology, enhancing their efficiency and creativity. We are dedicated to crafting exceptional mobile and desktop experiences for those who aspire to achieve more.
 

As a Senior Growth Analyst at Readdle, you’ll own the numbers behind how Spark grows. From the first ad impression to long-term renewals, you’ll make sense of the data, design event structures, and ensure everything is measurable. You’ll dig into funnels, uncover insights, and build dashboards that make growth performance crystal clear for product and marketing teams.

What will you do:

• Transform and analyze large datasets in BigQuery and Amplitude to uncover trends, anomalies, and actionable insights across the user journey.
• Build and maintain self-serve dashboards in Tableau and Google Sheets that reduce ad-hoc reporting requests and establish a clear source-of-truth for growth metrics.
• Define, document, and QA event structures for new features, campaigns, and experiments; build a robust monetization measurement system to support pricing and migration decisions.
• Analyze user funnels across ads, store, onboarding, in-app usage, purchases, and cancellations to identify drop-offs and growth opportunities.
• Design and monitor A/B experiments and feature launches; validate results and ensure long-term impact tracking.
• Proactively surface insights, hypotheses, and growth opportunities to marketing and product teams; shape quarterly prioritization with impact scenarios to influence roadmap decisions.
• Build forecasting and scenario models for installs, conversions, retention, and revenue.
• Ensure data integrity across tools and pipelines through established QA processes; work with Appsflyer to track attribution and optimize acquisition reporting.

About you:

• 5+ years in growth, product, or marketing analytics in a B2C or SaaS environment, with experience supporting pricing, monetization, or migration initiatives in subscription-based products.
• Strong SQL skills and experience with BigQuery or similar cloud data warehouses (Redshift, Snowflake); proficiency in Tableau and/or Amplitude for dashboards and complex data visualization.
• Experience with Appsflyer or other attribution platforms; familiarity with Python for data analysis and automation is a strong plus.
• Solid understanding of product analytics (funnels, cohorts, retention, event tracking), statistics, A/B testing, and concepts like segmentation, churn, or LTV modeling.
• Proven ability to design self-serve dashboards and act as a strategic thought partner to PM/PMM teams, not just an executor of analytics requests.
• Comfortable working cross-functionally with product, marketing, and engineering teams with a proactive, curious, and coachable mindset.

What you will get at Readdle:

• Customer-centric culture. We put our users at the heart of everything we do. Every team member has the opportunity to engage directly with customers, gaining insights that shape meaningful, delightful experiences for millions worldwide.
• Relentless growth. We’re committed to mastery in our craft. We take ownership of our work, decisions, and outcomes, and we see feedback as a catalyst for growth. Every challenge is an opportunity to learn, evolve, and raise the bar.
• Exceptional people, exceptional team. Our greatest strength is our people. We care deeply about each other, work transparently, and celebrate collective success. Together, we build an environment where everyone can do their best work and grow beyond their potential.
• Real impact. We design products that truly matter. Our focus is on delivering tangible value, simplifying complexity, pushing boundaries, and continuously improving how we build and deliver solutions to our users.
• Culture of innovation. We embrace curiosity and creativity in everything we do. Fresh ideas are not just welcomed, they’re expected, celebrated, and turned into real innovations that shape the future of our products and company.

About the Role

We are looking for a mature Product / Data Analyst who will become the absolute owner of our data tracking and analytics ecosystem.

This is a "Greenfield" opportunity to build analytics layer for Big Data B2B SaaS product  while extracting deep mathematical insights from raw Big Data to optimize our retargeting algorithms.

Responsibilities

• Build BI Infrastructure from Scratch: Evaluate and select the optimal BI tool (Looker Studio, Grafana, Apache Superset, or Metabase) over our ClickHouse database to eliminate manual report-building.
• Behavioral & Touchpoint Analysis: Model Path to Conversion, optimize Frequency Caps, and run Recency & Frequency analysis to find "golden hours" and maximize conversion probability.
• Incrementality & Attribution: Mathematically prove incremental GGR uplift and measure the indirect impact of ad contacts (post-view effects) through control groups.
• Data Quality & Logging: Control metadata collection integrity (IP, User-Agent, Device ID) and formulate requirements for logging new data points.
• Big Data & Query Optimization: Independently write and optimize complex SQL queries in ClickHouse to process billions of raw events without relying on the engineering team.
• Product Insights: Utilize Python for cohort analysis, target audience segmentation in a Cookieless environment, and pattern detection for anti-fraud.

Who We’re Looking For

We’re looking for a mature, self-driven analyst who loves data engineering challenges, possesses strong mathematical logic, and can translate raw numbers into business impact.

Must-have:

• 3+ years of commercial experience in data/product analytics working with Big Data.
• Strong domain expertise: Experience in high-load industries such as AdTech, RTB, MarTech, or iGaming.
• Advanced SQL (ClickHouse): Deep understanding of column-oriented databases and raw log processing.
• Python Proficiency: Strong practical experience with Pandas and NumPy for complex cohort and statistical analysis.
• Data Visualization Mastery: Confident experience designing and connecting BI dashboards completely from scratch.
• English: Intermediate or higher (comfortable reading technical documentation and product contexts).
• Ukrainian/Russian: Fluent (for internal team communication).

Nice to have:

• Academic background in Mathematics, Statistics, Data Analysis, or Probability Theory.
• Experience in anti-fraud traffic analytics.
• Understanding of subscription models and LTV forecasting.

How We Work

• Direct reporting line to the Product Owner / CEO.
• Focus on automated, long-term infrastructure over routine daily manual exports.
• Full autonomy in selecting data-analysis tools.
• Clear boundaries: The analyst does not manage ad campaigns manually and does not act as a database administrator (DBA).

What We Offer

• Full ownership over the company's data architecture and reporting standards.
• A highly complex, high-load product dealing with billions of events.
• Competitive compensation.
• 100% remote format with international market exposure.

Role Summary

The Product / Data Analyst is responsible for transforming raw ClickHouse logs into a transparent, automated BI ecosystem while delivering mathematically sound insights to boost the platform's retargeting efficiency.

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 Senior Analyst.

Requirements:

— 5+ years in analytics at a Trading Desk, CEX, prop trading or market-making firm — not bank BI analytics
— Deep hands-on knowledge of trading mechanics: P&L attribution, spread, slippage, funding rates, quoting uptime, inventory exposure — candidate knows these metrics from practice, not from textbooks
— Python — mandatory: pandas, numpy, report automation, exchange 
API data processing
— SQL — advanced: window functions, CTEs, time-series aggregations
— Tableau — proficient: calculated fields, blending, workbook publishing
— Grafana — operational dashboard design, alert configuration
— Track record of building P&L, position, and operational reports from scratch for a trading desk
— Ability to define the right KPIs independently without extensive onboarding
— Understanding of crypto exchange mechanics: derivatives, futures, spot/perp

Responsibilities:

— Build and own management reporting — independently, from week one
— Configure and maintain dashboards for real-time operational monitoring with alerting
— Audit existing dashboards and correct inaccurate metrics — including restoring broken monitors
— Independently define KPIs: proposes the structure, does not only execute tasks
— Formulate data requirements and pass requests to the tech team
— Support the reporting cycle (daily / weekly / quarterly) with direct interaction with desk heads
— Document calculation methodology and standardise metric definitions

It will be a plus:

— Experience working with market makers or institutional liquidity providers
— Familiarity with major CEX platforms (OKX, Binance, Bybit)
— Experience integrating external market datasets

Working conditions:

Immerse yourself in Crypto & Web3:
— 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.
— 22 business days of paid leave.
— Additional days off for national holidays.
— Health insurance.

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 assessment
3. Python assessment 
4. Technical interview
5. Client interview

Our Customer:

A global enterprise organization building modern data, analytics, and AI solutions within a Microsoft-first ecosystem. The company focuses on scalable and secure enterprise platforms that support business intelligence and digital transformation.

Your Tasks:

• Define and drive architecture for enterprise Data, Analytics, and AI solutions across multiple initiatives
• Transform business requirements into scalable, secure, and maintainable technical architectures
• Design solution blueprints, integration approaches, and implementation strategies
• Support delivery teams throughout the full solution lifecycle, from discovery and prototyping to production deployment
• Conduct architecture, design, and code reviews to ensure solution quality and alignment with business goals
• Provide hands-on technical leadership and guidance to engineering teams
• Ensure solutions meet requirements for quality, scalability, security, maintainability, operational readiness, and cost efficiency
• Ensure security, governance, and compliance standards are incorporated into solution designs
• Collaborate with business stakeholders, architects, engineering teams, and governance functions to drive successful delivery
• Participate in troubleshooting, risk assessment, estimation, and technical decision-making activities

Required Experience and Skills:

• 15+ years of experience in IT, including 10+ years in Solution Architecture roles focused on enterprise Data, Analytics, and AI platforms
• 10+ years of hands-on experience with Azure-based data solutions, including Azure Data Factory, Databricks, Azure Data Lake, SQL, dimensional modeling, ETL/ELT processes, and data orchestration
• Strong expertise in Power BI architecture, including semantic models, DAX, Power Query, governance, workspace management, performance optimization, and enterprise reporting solutions
• Proven experience delivering end-to-end architecture solutions, including solution design, prototyping, implementation support, technical reviews, and production readiness activities
• Strong knowledge of enterprise security, governance, compliance, and architecture best practices
• Ability to translate complex business challenges into practical and delivery-focused technical solutions
• Experience providing technical leadership in distributed enterprise environments
• Experience working with distributed teams and external partners in enterprise delivery environments
• Strong troubleshooting, analytical, estimation, decision-making, and risk management skills
• Ability to work effectively with enterprise architects, business stakeholders, and cross-functional teams
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
• Excellent communication skills in English

Would be a Plus:

• Experience with enterprise AI solutions and Microsoft AI services, including Azure OpenAI, Azure AI Search, AI Foundry, Copilot Studio, Semantic Kernel, and Prompt Flow
• Experience with Microsoft Fabric and Power Platform governance practices
• Experience with Azure DevOps, GitHub Enterprise, and CI/CD implementation for Data, Analytics, or AI platforms
• Knowledge of Microsoft security and governance services such as Entra, Purview, and Key Vault
• Experience working in regulated industries, including life sciences, healthcare, or pharmaceuticals
• Microsoft certifications related to Azure, Data, Analytics, Power BI, or AI Architecture
• Experience with Python, data observability, and monitoring solutions

Working conditions

5-day working week, 

8-hour working day;

Remote work.

About the Role

Deep Knowledge Group (https://www.dkv.global/) is seeking a senior specialist in graph intelligence, knowledge graphs and advanced network visualization to help turn large entity datasets into usable relationship intelligence.

Across DKG's analytical platforms, the important question is often not merely “what entities exist?” but:

How are they connected? Which relationships matter? Where are the clusters, central actors, hidden dependencies, emerging ecosystems and strategic gaps?

DKG maintains and develops complex datasets covering companies, investors, technologies, industries, experts, institutions, partnerships, geographical ecosystems and other interconnected entities. The objective of this role is to transform these relationships into scalable analytical systems and interactive intelligence products.
 

Key Responsibilities

• Design graph data models for complex multi-entity analytical datasets.
• Develop knowledge graphs and network-intelligence systems connecting companies, investors, technologies, people, institutions, projects, geographies and other entity types.
• Build pipelines for transforming structured and semi-structured datasets into graph-ready data.
• Work on entity normalization, relationship definitions and graph-schema design.
• Apply network-analysis methods including centrality, clustering, community detection, connectivity analysis and relationship mapping.
• Identify strategically relevant patterns and relationships that conventional tables and dashboards may not reveal.
• Develop interactive graph interfaces that allow users to explore networks without producing unreadable “hairball” visualizations.
• Create layered views, filters, drilldowns and contextual information that make large graphs operationally useful.
• Integrate graph analytics into DKG dashboards, ecosystem platforms and intelligence products.
• Work with data engineers and analysts to ensure graph outputs are analytically valid.
• Build reusable graph components and analytical frameworks for application across different DKG industries.
• Explore graph machine learning or predictive relationship analytics where these provide genuine practical value.
• Document graph schemas, relationships and analytical methodology.
   

Required Skills

• Strong practical experience with graph analytics, network science, knowledge graphs or closely related work.
• Strong Python skills.
• Experience with NetworkX, igraph or comparable graph-analysis libraries.
• Experience with graph databases such as Neo4j, Memgraph, ArangoDB or equivalent.
• Strong understanding of graph schemas, nodes, edges, properties and relationship modelling.
• Experience with advanced graph visualization tools or frameworks such as D3.js, Sigma.js, Graphistry, Gephi or similar.
• Experience cleaning and structuring complex real-world datasets.
• Ability to convert analytical requirements into appropriate graph structures and algorithms.
• Strong understanding of visual usability for large and complex networks.
• Ability to explain graph-derived findings in practical strategic terms.
• Strong English communication skills.
   

Strong Advantages

• Experience with graph machine learning, embeddings or link-prediction techniques.
• Experience with PyTorch Geometric, DGL or comparable graph-ML frameworks.
• Experience building market-intelligence, investment-intelligence, OSINT or ecosystem-mapping products.
• Experience with entity resolution and ontology/taxonomy design.
• Experience integrating graphs into production web applications.
• Familiarity with AI-assisted coding and analytical workflows.
• Exposure to investment analytics, AI, DeepTech, Life Sciences or other complex knowledge domains.
   

What Makes This Role Different

We are not looking for somebody whose main output is visually impressive network diagrams.

The purpose of graph intelligence at DKG is to expose relationships that improve actual analysis and decision-making—for example:

• identifying important companies or investors inside an ecosystem;
• mapping technology-to-company-to-investor relationships;
• identifying clusters and emerging technological concentrations;
• visualizing stakeholder and partnership ecosystems;
• tracing relationships between projects, organizations, markets and strategic opportunities.

The successful candidate must therefore combine graph engineering, analytical reasoning and visual-product design.
 

What Success Looks Like

A successful Graph Intelligence Specialist will create graph systems that become reusable infrastructure across DKG's analytical products: technically robust, analytically meaningful and sufficiently intuitive that users can extract useful insights without needing to understand graph theory.

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.
   

We are currently looking for a Junior Data Analyst to join our growing Tax Data CoE team and support international tax and compliance projects through data analysis, validation, reporting, and process improvement initiatives.

In this role, you will work with large datasets from various client systems, helping teams transform raw data into meaningful insights. You will collaborate closely with data engineers, tax specialists, and engagement teams to ensure data quality, support reporting activities, and contribute to the development of scalable data-driven solutions. The role offers exposure to modern PwC technologies, including Workbench, Databricks, Power BI, and Data Controls Engine (DCE).

Key responsibilities:

• Data Extraction & Processing: Extract, prepare, and analyze data from SAP, Oracle, and other enterprise systems.
• Data Quality & Validation: Perform data validation, reconciliation, and quality checks to ensure accurate and reliable datasets.
• Reporting & Analytics: Create reports, dashboards, and actionable business insights using Excel, Power BI, and SQL.
• Data Automation: Support automation of data collection, transformation, and reporting processes.
• Collaboration: Work closely with engagement teams, tax specialists, and data professionals to deliver data-driven solutions.

Who We're Looking For:

• Junior or Middle-level Data Analyst with up to 2 years of relevant experience.
• Good knowledge of SQL and at least one of the following technologies: Alteryx, Python, or Databricks.
• Experience with data analysis, validation, and reporting activities.
• Familiarity with SAP and/or Oracle databases would be a strong advantage.
• Strong analytical and problem-solving skills.
• Excellent written and spoken English (B2+).

Nice to Have:

• Experience with Power BI, Databricks, or cloud-based analytics platforms.
• Exposure to data warehousing or data platforms.
• Knowledge of financial, tax, or compliance-related data.
• Experience working with large datasets and data transformation activities
  
  Policy statements:
  https://www.pwc.com/ua/uk/about/privacy.html

About Deep Knowledge Group

Deep Knowledge Group (https://www.dkv.global/) builds large-scale analytical databases, investment-intelligence systems, industry ecosystem platforms, competitiveness indices and interactive dashboards across frontier industries including AI, Longevity, HealthTech, DeepTech and QuantumTech.

Our products often involve complex, multidimensional datasets that need to become clear decision-making tools, not simply charts.
 

About the Role

We are seeking a Data Visualization Specialist who can transform complex analytical outputs into intuitive, high-quality interactive visual products.

This role sits between data analysis, frontend visualization and information design. The successful candidate should be capable of understanding what a dataset actually means, selecting the most appropriate visual structure, and implementing it in a form that executives, investors, analysts and other users can understand quickly.

This is not primarily a graphic-design role. Candidates must be comfortable working directly with structured data, APIs and analytical logic.

Key Responsibilities

• Develop interactive dashboards, charts, maps, analytical interfaces and other data-rich visual products.
• Transform complex datasets into clear narratives, comparisons, rankings, trends and decision-support views.
• Select visualization types based on the analytical question rather than defaulting to repetitive chart formats.
• Work directly with analysts and data scientists to understand source data, calculations, assumptions and intended user decisions.
• Develop reusable visualization components that can be applied across multiple DKG platforms.
• Build and maintain interactive visualizations using Python and/or modern JavaScript visualization libraries.
• Integrate data from APIs, databases, Google Sheets and other structured sources.
• Optimize visualization performance for large datasets.
• Improve existing dashboards for readability, responsiveness, visual hierarchy and user experience.
• Ensure labels, units, scales, filters and analytical distinctions are accurate and unambiguous.
• Test visualizations across devices and browsers.
• Use AI-assisted development tools effectively while independently reviewing generated code and analytical outputs.
• Contribute to internal standards for advanced data visualization and analytical storytelling.
   

Required Skills

• Strong portfolio demonstrating sophisticated data visualization work.
• Strong practical experience with Python-based data processing and visualization.
• Experience with libraries/frameworks such as Plotly, D3.js, ECharts, Vega/Vega-Lite or comparable tools.
• Good understanding of Pandas and structured-data manipulation.
• Experience building interactive dashboards or web-based analytical applications.
• Ability to work with APIs and external data sources.
• Strong understanding of visual hierarchy, information density and analytical storytelling.
• Ability to explain complex data clearly to non-technical audiences.
• Strong English communication skills.
• Ability to independently learn unfamiliar industries, taxonomies and datasets.
   

Strong Advantages

• Experience with Flask, FastAPI, React or comparable web application frameworks.
• Experience creating geographical, temporal, hierarchical or multidimensional visualizations.
• Experience with financial, investment, market-intelligence or scientific datasets.
• Knowledge of statistics and analytical methodology.
• Experience designing executive-grade dashboards rather than purely operational BI reports.
• Familiarity with AI-assisted coding and visualization workflows.
   

What We Will Evaluate

Candidates should be prepared to demonstrate actual previous work.

We will place particular weight on whether you can take a difficult dataset and make its main analytical distinctions immediately legible—without oversimplifying the underlying information.

The strongest candidates will combine analytical discipline with strong visual judgment and technical implementation ability.

We are building one of the most powerful live-streaming platforms, already connecting 400K+ monthly active users through live events, interactive video chats, and real-time community experiences. Our mission is bold: bring joy, fight loneliness, and deliver safe, ad-free entertainment that keeps people coming back.
This is a complex, fast-moving space, and we love it that way! So, you will join a passionate, expert team tackling everything from scaling AI-powered recommendations to launching high-impact, data-driven features that boost monetization and engagement. Every idea counts here, and every release reaches a massive global audience.
We are now expanding into Arab countries and Europe, enhancing content quality, and rolling out new features to keep users hooked. We are among the Top 5 streaming products in the US and rank in the Top 10 worldwide. Our next milestone: break into the global Top 5, and we are moving fast to make it happen

About the role: In this role, you will turn numbers into insights, ensuring our marketing stays sharp and effective. From analysing campaign efficiency to connecting marketing and product analytics, you’ll spot growth opportunities and track performance with precision. Your work will directly influence data-driven decisions, keeping our marketing activities stable, scalable, and impactful. With strong results, you’ll also have the opportunity to grow in seniority and potentially lead the department in the future.

In this role, you will

• Analyze paid marketing campaigns across multiple channels, regions, creatives
• Build regular reports and provide ad-hoc analytics on marketing effectiveness (CAC, ROI, LTV, attribution).
• Connect marketing data with product metrics to measure the true business impact of campaigns.
• Monitor marketing funnel health and detect anomalies or drops in performance.
• Collaborate with product analysts, marketers, and data engineers to improve data pipelines and tracking.
• Provide actionable insights and recommendations to optimize campaigns and budget allocation.

It’s all about you

• Experience collaborating with marketing and product teams to monitor key performance metrics, identify anomalies or performance issues, and communicate actionable insights to managers for decision-making.
• Strong SQL
• Strong problem identification skills with critical thinking and a clear understanding of cause-and-effect relationships.
• Proficiency in BI tools (Tableau, Looker, or similar).
• Solid understanding of marketing metrics (CAC, ROI, LTV, ARPU, retention) and attribution models (last-click, multi-touch)
• Good communication skills to translate complex findings into business recommendations

Would be a plus

• Familiarity with Python and basic understanding of ML
• Usage of AI tools (ChatGPT, Claude AI, Gemini, etc) on a daily basis

What we offer

Care and support:

• 20 paid vacation days, 15 sick days, and 6 additional days off for family events
• Up to 10 additional days off for public holidays
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule
• Workspace rental reimbursement in other cities and abroad
• Modern equipment or depreciation of your own tools

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here — so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events

Hiring process

• Intro call
• Technical interview
• Reference check
• Offer

PayDo, a leading Electronic Money Institution (EMI) authorised by the FCA in the UK, FINTRAC in Canada, and MFSA in Malta, operates in 140 countries and over 25 industries. Offering multicurrency IBANs, merchant solutions and mass payment options, PayDo provides premium and convenient payment services. With all features available through one platform and contract, PayDo is a preferred solution for local and international payments.

About the role

We are building our business intelligence capability from the ground up and have not yet committed to a BI platform. We're looking for a hands-on BI expert who has worked across multiple BI tools, can evaluate the options against our real needs — data security, scalability, cost, embeddability — recommend the right stack, and then implement it end to end.

This is both a decision-making and a build role. You won't inherit a fixed toolset; you'll help define it.

What you'll own

Phase 1 — Evaluate & select

• Audit our data sources, reporting needs, stakeholders, and constraints (security, budget, team skills).
• Benchmark candidate platforms (e.g. Tableau, Power BI, Metabase, Grafana, Looker, Superset) against those criteria.
• Present a reasoned recommendation with clear trade-offs on cost/licensing, data security, scalability, and maintainability.

Phase 2 — Build

• Stand up the chosen platform from scratch: connections, data models, governance, permissions and row-level/role-based access, first production dashboards.
• Establish standards for reporting, naming, and documentation.

Ongoing — Operate & scale

• Prepare regular (daily/weekly/monthly) and ad-hoc reports across finance, payments, operations, sales, marketing, and product.
• Gather stakeholder requirements, draft functional specs and wireframes, validate data accuracy, and finalize reports with stakeholders.
• Implement scheduled email summaries and event-based (trigger) notifications to departments.
• Automate data collection, processing, and aggregation via SQL/scripts; reduce manual effort and speed up refresh cycles.
• Design and maintain database schemas (OLTP/OLAP); write high-performance SQL, apply indexing, optimize complex JOINs; ensure data integrity and manage access controls.
• Set up secure export procedures (CSV/Parquet/JSON) and automate data dumps for internal teams and external partners, with quality and completeness checks.
• Advise the team on BI best practices, run trainings/workshops, troubleshoot incidents, and maintain documentation and user guides in Confluence.

Requirements

• 4+ years as a BI Analyst, BI Engineer, or Data Analyst — ideally in fintech, payments, e-commerce, or a regulated data environment.
• Production, hands-on experience with at least 2–3 BI platforms (e.g. Tableau, Power BI, Metabase, Grafana, Looker, Superset) — not just "familiarity," but having built dashboards, prepared data models, and administered the tool.
• Demonstrated experience selecting, migrating, or standing up a BI tool/platform — you have made, or strongly influenced, the "which tool" decision at least once.
• Ability to reason about platform trade-offs: licensing/cost models (per-user vs. capacity vs. open-source), data connectivity, self-service vs. governed reporting, embedding/white-label, scalability, on-prem vs. cloud, and security/compliance.
• Strong SQL: complex queries, analytical/window functions, JOIN and query optimization.
• Data modeling: relational and analytical models (OLTP/OLAP); structuring data for reporting; consistency across sources.
• Automation: ETL concepts, scheduling, automating collection/processing/reporting workflows.
• Security mindset for regulated data: role-based / row-level access, SSO, audit trails, awareness of data-residency constraints.
• Clear communicator — can explain findings and justify technical decisions to both technical and non-technical stakeholders; comfortable gathering requirements.
• Documentation discipline (Confluence).
• English: Upper-Intermediate+.
• Overlap with CET working hours (remote-first).

Nice to have

• Experience with embedded / white-label analytics (serving dashboards to external clients).
• Modern data stack exposure (dbt, warehouse-native modeling) and Python for automation.
• Prior EMI / PSP / open banking data experience and awareness of regulatory reporting.
• Experience running a tool evaluation or migration as a documented, criteria-based process.

We work in a result-driven culture. You'll fit in if you:

• Are meticulous, dependable, and proactive.
• Communicate clearly and professionally with stakeholders across teams.
• Have a strong problem-solving mindset and can turn complex data into clear insights for non-technical audiences.
• Demonstrate high attention to detail and prioritize effectively in a fast-changing environment.

• Take a proactive approach to spotting patterns, proposing improvements, and catching data issues before they reach reports.

   

What we offer:

• Annual Learning & Development Budget – invest in your growth with dedicated funds for courses and certifications
• Regular Performance Reviews Based on KPIs – for your professional advancement
• Transparent career path – opportunity to reach Lead roles within 1 year, Head roles in 2 years, and C-level in 4 years based on performance
• Innovation Financial Rewards – share your ideas via PayDo Ideas Hub and earn extra bonuses
• Paid Vacation & Sick Leave – with flexibility to transfer unused days or receive compensation
• Public Holidays – aligned with your country’s calendar
• Flexible payout options – via PE accounts or popular e-wallets

Responsibilities

• Create and maintain reporting and analytical dashboards that provide key business insights
• Search for insights and patterns through data analysis
• Based on the analysis results, make conclusions for the business
• Build interactive dashboards

Requirements

• 4+ years of experience as a Data Analyst
• 4+ years of hands-on experience with SQL
• Experience with data visualization tools (Tableau, Power BI, Looker or similar)
• Strong logical and critical thinking skills
• Attention to detail and structured approach to work
• English Intermediate and higher
• Proactive mindset and genuine interest in your work

Will be a plus

• Experience with Python for data analysis and scripting
• Experience with R for statistical analysis
• Familiarity with n8n or similar workflow automation tools

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays according to current legislation
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

Bulls Media is looking to hire a strong BI developer and data analyst.

The role involves both data analytic and technical skills : gathering data , developing tools and dashboards, evaluating data and sharing findings that affect business decisions. 

Responsibilities:

• Working with different company departments and setting business requirements for BI tools
• Translating business requirements into technical ones
• Suggesting technical options to meet the requirements and creating an BI architecture. Providing time estimation
• Leading and executing BI software development, deployment, and maintenance: 
• Creating Power BI reports based on client requirements 
• Taking data from different data sources : databases, internal and external API, google sheets and more
• Developing different visualization levels and dashboards
• Maintaining and optimizing existing reports
• Ensuring data correctness
• Testing reports of other BI developers
• Creating technical documentation for BI tools
• Evaluating data, collating findings relevant to the business, and sharing them in a manner that can bring about an effective change in a business:
• Breaking down key business data: gather, clean, and analyze data
• Interpreting the data: Find patterns or see areas in the data that signal a potential for improvement in business practices

• Sharing findings:visualizing data in graphs and charts, recommendations to improve or grow the business based on their findings

   

Requirements:

• At least 2 year experience in a BI developer & data Analyst role
• Experience with PowerBI including a good knowledge of DAX
• Deep knowledge of SQL Databases and SQL script optimisation
• Good knowledge of excel / Google sheet (formulas)
• Experience with Python
• Non relational database - advantage
• Advanced analysis and problem solving skills
• Attention to detail
• The ability to work both as a team player and independently
• Ability to multitask in a fast-paced environment
• Self learning abilities
• Excellent communication skills with ability to effectively interface with technical and nontechnical staff at all organizational levels
• Fluent in English

About the Role

We are looking for a highly analytical, detail-oriented, and proactive Product / Web Data Analyst to own and evolve our analytics ecosystem.

This role requires much more than reporting. The successful candidate will become an expert in our product, customer journeys, data architecture, and measurement framework. They will be expected to understand how data is generated, where it comes from, how it is processed, and how it should be interpreted to support product and business decisions.

The ideal candidate is naturally curious, enjoys investigating complex systems, and is comfortable working independently while collaborating closely with cross-functional teams.

What You'll Do

Deep Product Understanding

• Develop a comprehensive understanding of the product, business model, customer lifecycle, and key success metrics.
• Map and analyze user journeys across multiple touchpoints.
• Identify opportunities, bottlenecks, and behavioral patterns throughout the customer lifecycle.
• Support data-driven decision-making across Product, Marketing, CRM, and Leadership teams.

Data Analysis & Insights

• Work directly with raw event-level data stored in BigQuery.
• Explore, clean, transform, validate, and analyze large datasets.