Jobs Data Analyst

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.

Required Skills/Abilities:

• 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)
• Basic knowledge of 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

What We Offer:

• 21 days of paid Leave per year.
• 7 days of sick Leave annually.
• English-speaking Clubs.
• Corporate Events and team buildings.
• Long term cooperation.
• Performance review once a year
• Health insurance.
• All necessary technical equipment provided.
• 4 days work on-site in comfortable office and 1 day fully remote.

Steps of the hiring process:

• Recruitment interview.
• Technical interview.
• Test task.
• Final interview with CTO.

As a Senior Growth Analyst at Readdle, you'll own the numbers behind how Spark grows and proactively discover opportunities and validate the impact of initiatives. 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 discover product & growth opportunities, trends, anomalies, and actionable insights across the user journey.
• Build and maintain self-serve reports that enable stakeholders to answer key questions with data 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, sequence, and monitor A/B experiments and feature launches; validate results and ensure statistical rigor & consistent long-term impact tracking.
• Proactively surface insights, hypotheses, and growth opportunities to marketing and product teams; shape quarterly prioritization with discoveries from data and 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 measurement vendors to meaningfully track attribution and optimize acquisition reporting.

About you:

• 5+ years in growth, product, or marketing analytics in a B2C or SaaS environment, with experience working on user acquisition, pricing, monetization, and/or migration initiatives in subscription-based products.
• Strong SQL skills and experience with BigQuery or similar cloud data warehouses (Redshift, Snowflake); proficiency in Tableau/Looker/etc. for reporting and complex data visualization and product analytics tooling. Amplitude/Mixpanel/Heap/Hotjar/PostHog for event/property tracking and user journey tracking.
• Experience with marketing attribution platforms (Appsflyer/Adjust/Kochava/etc.); familiarity with Python/R for data analysis and automation. Experience with ML or time-series inference is a strong plus.
• Solid understanding of product analytics (funnels, cohorts, retention, event tracking), marketing analytics (incl. attribution, MMM, incrementality testing, etc.), statistics, experimentation, and experience with segmentation and modeling churn or LTV. Demonstrable advanced analytics experience (causal inference, quasi-experiments, linear programming, econometrics, etc.) is highly advantageous for the role.
• 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.
• Solid business acumen. 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.

Project Description:

Centralized Reporting and Analytics team covers company-wide corporate reporting needs. Interacting with internal clients (Delivery management and Corporate functions management) we build automated solutions in reporting and data analysis covering different internal company processes and practices.
Our team: around 20 people distributed in different countries but in close virtual cooperation.
Technologies used: Tableau and PowerBI as the main reporting tools, MS SQL database for our main data sources.

Responsibilities:

Tableau/PBI reports development and support:
- Requirement clarification with the client
- Preparation of data sources & setting up development task for the DWH team where needed
- Draft version design & development and UAT with a customer
- Setting up interactive elements in dashboards (actions, parameters-switchers, etc.)
- Visibility permissions management (row-level security) inside a report
- Technical documentation preparation
- Release preparation and presenting for end-users
- Controlling permissions on a site - project - workbook levels
- Background tasks monitoring (extracts, subscriptions, etc.)
- Reporting adoption & user's behavior monitoring (via in-built and custom tools)

Mandatory Skills Description:

• 2+ year of reporting experience with Tableau and/or PowerBI
• Strong skills in SQL
• Bachelor's Degree or higher education level
• Strong data analysis skills
• Good presentation and data visualization skills
• Great attention to details, structured and analytical approach, critical and logical thinking

Nice-to-Have Skills Description:

Practical experience with other BI tools as a plus

Languages:

English: B2 Upper Intermediate

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 strengthen our product analytics by bringing senior-level expertise in statistical analysis, retention analytics, and experimentation. From your first weeks, you’ll dive into our product, data pipelines, and key metrics, delivering deep insights into retention and monetization, and independently running A/B tests to shape decisions at scale. Your input will help refine analytical processes and frameworks, directly influencing product strategy. With the chance to grow horizontally through diverse tasks, and to be involved in many of the company’s key processes, you’ll see the tangible impact of your work across the business.

In this role, you will

• Drive deep-dive analyses of user behaviour, retention, and monetization
• Independently design, monitor, and evaluate A/B tests and experiments
• Build, maintain, and improve analytical frameworks, dashboards, and reporting systems to ensure clarity and efficiency across the team
• Collaborate closely with product managers to define success metrics, uncover growth opportunities, and shape the product strategy
• Identify gaps and inefficiencies in current processes and elevate the team’s analytical capabilities by proposing smart improvements
• Ensure all product research meets the highest standards of statistical rigour, reliability, and scalability

It’s all about you

• Experience in product or marketing analytics and working cross-functionally with product, marketing, and engineering teams
• Advanced SQL skills and a solid foundation in statistics, including hypothesis testing, causal inference, regression, and retention/survival analysis
• Proven track record in product analytics, ideally in transactional or subscription-based business models, with experience in designing and evaluating A/B tests
• Ownership mindset, strong communication skills and structural thinking that will allow you to  translate complex data into actionable business recommendations for both technical and non-technical stakeholders
   

Would be a plus

• Experience with GBQ, Python and R for analytics
• Familiarity with cohort analysis, LTV modelling, and churn prediction
• Regular usage of AI tools like ChatGPT, Claude AI, Gemini, or similar to support your work

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

Centralized Reporting and Analytics team covers company-wide corporate reporting needs. Interacting with internal clients (Delivery management and Corporate functions management) we build automated solutions in reporting and data analysis covering different internal company processes and practices.
Our team: around 20 people distributed in different countries but in close virtual cooperation.
Technologies used: Tableau and PowerBI as the main reporting tools, MS SQL database for our main data sources.
 

• Responsibilities:

  Tableau/PBI reports development and support:
  - Requirement clarification with the client
  - Preparation of data sources & setting up development task for the DWH team where needed
  - Draft version design & development and UAT with a customer
  - Setting up interactive elements in dashboards (actions, parameters-switchers, etc.)
  - Visibility permissions management (row-level security) inside a report
  - Technical documentation preparation
  - Release preparation and presenting for end-users
  - Controlling permissions on a site - project - workbook levels
  - Background tasks monitoring (extracts, subscriptions, etc.)
  - Reporting adoption & user's behavior monitoring (via in-built and custom tools)

   

• Mandatory Skills Description:

  2+ year of reporting experience with Tableau and/or PowerBI
  Strong skills in SQL
  Bachelor's Degree or higher education level
  Strong data analysis skills
  Good presentation and data visualization skills
  Great attention to details, structured and analytical approach, critical and logical thinking

Bizzabo, a leader in event technology, is looking for a strategic and highly analytical Revenue Operations Analyst in Ukraine to join our dynamic Revenue Operations Team. In this role, you will serve as a critical bridge between raw data and executive decision-making. You will be responsible for defining the analytical roadmap for our different GTM departments, ensuring that data is not just reported, but used as a competitive advantage to drive growth and efficiency.

We recognize that the best Revenue Operations talent often comes from diverse analytical paths. You are likely a strong match if you currently work in one of the following roles:

• Business Data Analyst: You are an expert at using complex SQL queries to uncover “The Why” behind the numbers, translating disparate datasets into analytical recommendations for leadership that will influence revenue decisions.
• Sales/Marketing Operations Analyst: You combine technical SQL mastery with deep CRM data knowledge to perform advanced analytics that optimize the B2B sales funnel and revenue predictability.

• Commercial BI Analyst: You are a SQL specialist who doesn’t just build “reports,” but architects sophisticated data models and dashboards to perform deep analytics on revenue and market trends.

   

Note on Fit: This is a Commercial Data & Strategy role. It is a great fit for those who love business strategy and deep analytics. It is not a fit for those focused on the SDLC, system analysis for software development, or writing technical requirements for engineering teams.

What You’ll Be Doing:

• Act as a dedicated strategic partner to GTM leadership (Sales, Marketing, and Customer Success) to provide the analytical support and insights needed to inform revenue decisions.
• Identify growth opportunities by analyzing CRM data to uncover actionable insights and resolve operational bottlenecks through end-to-end analytical project leadership.
• Encompass the full data lifecycle, from gathering requirements and designing complex data models with optimized SQL to architecting a scalable BI ecosystem in Looker that replaces manual reporting with sophisticated automation.
• Go beyond descriptive reporting and leverage modern AI-powered tools to accelerate your workflow.
• Uncover the underlying drivers of business performance and translate the data into clear narratives that inform decisions.
• Provide proactive insights and strategic recommendations based on key performance indicators.
• Continuously audit data quality and collection processes within the CRM to ensure a high-integrity, data-driven environment.

Required Experience & Skills

• Professional & Educational Background: 3+ years of experience as a Business/Data Analyst (preferably within a global SaaS or high-growth tech company) supported by a degree in Industrial Engineering, Statistics, Economics, or a related quantitative field.
• Technical Mastery:
• SQL Expert: Deep experience writing complex, optimized queries and working with modern data warehouses (e.g., Snowflake, BigQuery).
• BI Power User: Expert proficiency in Looker (LookML experience is a significant plus), Tableau, or similar enterprise BI tools.
• Data Manipulation: Advanced Excel skills for financial modeling and ad-hoc analysis.
• Business Acumen: Strong understanding of the SaaS business model and B2B sales funnels.
• Analytical Rigor: Proven ability to synthesize large, disparate datasets into clear, actionable business narratives.
• Communication: Fluent English with exceptional verbal and written communication skills. You must be able to explain technical concepts to non-technical business leaders.
• Cross-team collaboration: Strong communication skills and the ability to collaborate effectively with sales leaders and cross-functional teams
• Mindset: Highly independent, self-motivated, and excellent at multitasking to ensure management of multiple high-priority projects in a fast-paced environment while maintaining swift execution on daily tasks.

Preferred Qualifications

• Experience with AI-integrated analytics platforms or building automated workflows using AI agents.
• Familiarity with Salesforce, HubSpot and PlanHat data structures.
• Experience in fast-paced, SaaS, or startup environments.

About the role

We are looking for a Senior Data Engineer / Data Analyst to become a key link between data and product decisions. You will work with transactional data from a payment platform, build reliable analytics infrastructure, and turn raw data into business insights for C-level and the product team. This role combines deep technical data work (pipelines, DWH, modeling) with product analytics (approval rate,
fraud patterns, A/B tests). The ideal candidate is equally comfortable writing optimized SQL queries and explaining complex patterns to a non-technical audience.

This role combines:

• data engineering (DWH, pipelines, modeling)

• product analytics (metrics, A/B tests, fraud patterns)

   

What you will do

🔹 Data Engineering

• Build and maintain DWH for transactional data
• Develop ETL/ELT pipelines (dbt / Airflow / scripts)
• Design data models (fact/dimension tables)
• Ensure data quality, monitoring, and performance optimization

🔹 Product & Business Analytics

• Analyze key metrics:
  • Approval / Decline Rate
  • Chargebacks / Refunds
  • Fraud patterns
  • PSP performance
• Build dashboards (Metabase / Tableau / etc.)
• Run A/B tests and analyze product changes
• Deliver insights to product and leadership

🔹 Routing & Fraud Analytics

• Analyze routing efficiency
• Identify fraud patterns (velocity, geo, BIN)
• Propose improvements for routing logic

🔹 Collaboration

• Translate business needs into data solutions
• Communicate insights clearly to non-technical teams

• Proactively identify anomalies and opportunities

   

Requirements

🔹 Must-have

• Strong SQL (complex queries, optimization)
• Experience with PostgreSQL / ClickHouse / BigQuery
• Python for analytics (pandas, numpy)
• Experience with dbt / Airflow (or similar tools)
• Experience with BI tools (Metabase, Tableau, etc.)
• Understanding of A/B testing and statistics
• 3+ years in Data Analyst / Data Engineer role
• Experience with transactional / financial data

🔹 Nice to have

• Experience in fintech / PSP / acquiring
• Fraud analytics experience
• Kafka / streaming
• Understanding of PCI DSS / GDPR

What we offer

• Work with real transactional data from a payment platform — challenging and rewarding
• Direct influence on product decisions through data
• Modern stack: ClickHouse / BigQuery, dbt, Python, Airflow
• C-level access — your insights go directly to leadership
• Flexible work format: Remote / Hybrid
• Competitive compensation + salary review every 12 months
• Budget for education and conferences (Data Engineering, Payments)
• A team with deep fintech and high-risk vertical experience

About the role

We are a fast-growing Payment Service Provider (PSP) working in the high-risk fintech segment.

Right now, we are building a new unified payment platform, consolidating several existing systems into one scalable solution.

We are looking for a Business Analyst who will play a key role at the intersection of business, product, and engineering — translating complex payment processes into clear and actionable specifications.

 What you will do

🔹 Requirements & Documentation

• Gather business requirements from stakeholders (product, risk, compliance, merchants)
• Write clear specifications, user stories, and acceptance criteria
• Model business processes (BPMN 2.0, AS-IS / TO-BE)
• Maintain documentation (Confluence / Notion)

🔹 Payment Processes

• Describe and optimize payment flows:
  • authorization
  • settlement
  • refunds
  • chargebacks
• Analyze transaction routing logic (smart routing, waterfall)
• Support integrations with PSPs and acquirers (REST API)
• Participate in platform consolidation and migration

🔹 Collaboration

• Work closely with Product, Engineering, and QA
• Participate in Agile ceremonies (grooming, planning, demos)
• Align with compliance and risk teams (PCI DSS, AML/KYC)

• Prepare materials for internal teams and merchants

   

 Requirements

🔹 Must-have

• 3+ years as Business Analyst / Systems Analyst
• Experience in fintech / payments / banking
• Strong understanding of payment lifecycle
  (authorization → capture → settlement → reconciliation)
• Experience working with REST APIs (Postman / Swagger)
• BPMN / UML knowledge
• Experience with Agile / Scrum
• Strong English communication skills

🔹 Nice to have

• Experience with PSP / acquiring / PayFac
• Knowledge of ISO 8583 / ISO 20022
• Experience with chargebacks / disputes / rolling reserves

• Experience in platform migration projects

   

What we offer

• Work on a real fintech product in the high-risk domain
• Participation in building a scalable payment platform
• Close collaboration with product and tech teams
• Flexible work format (remote / hybrid)
• Opportunity to influence product decisions
• Professional growth in fintech

We are looking for a Data Analyst to join a global product team working on a large-scale mobile marketing platform.
This role focuses on performance analysis, experimentation, and data-driven decision making in a high-load AdTech environment.

You will help identify where the system is losing value, design meaningful metrics, and provide insights that directly impact product and data science decisions.

Responsibilities

Analysis & Insights

• Analyze campaign performance and system behavior
• Identify inefficiencies in pricing, pacing, and traffic selection
• Break down complex performance data into clear, actionable insights

Experimentation

• Define and calculate key metrics (including intermediate metrics)
• Analyze A/B tests and interpret results
• Ensure fair experiment conditions (budget, traffic, etc.)

Data Exploration

• Investigate data quality issues and anomalies
• Build datasets to support modeling and experimentation
• Explore new signals, features, and opportunities

Collaboration

• Work closely with Data Science, ML Engineers, and Product teams
• Translate analytical findings into business recommendations

Current Focus Areas

• Pricing & Budget Scalability — scaling budgets while maintaining performance
• User Selection Optimization — improving conversion rates (CVR) through targeting
• Exploration Efficiency — reducing wasted budget during exploration
• Incrementality Measurement — measuring true lift vs attributed performance
• Fraud Detection & Filtering — improving traffic quality

Requirements

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Economics, or similar
• ~2 years of experience in a data-related role
• Strong knowledge of statistics, A/B testing, and data analysis
• Experience working with large datasets and performance metrics
• Ability to explain complex data in a clear and structured way
• Strong problem-solving skills and proactive mindset

Nice to Have

• Experience in AdTech / marketing / auctions
• Understanding of incrementality and attribution models
• Internship or experience in high-scale data environments

What Success Looks Like

• You clearly identify where the system is underperforming
• Your analysis drives experiments and product decisions
• You build reliable metrics, dashboards, and insights that improve system performance

About the Role

This is a great opportunity for a Data Analyst who wants to work on real-time, high-scale systems, collaborate with Data Science teams, and directly influence product performance through data.

Since 2001, FutureLog has been creating and developing digital procure-to-pay solutions for the hospitality and gastronomy industries.  We are a world-class procurement management platform serving over 10,000 clients across 20+ countries, delivering near real-time reporting with complex data models and advanced permission structures. 
To strengthen our analytics and reporting capabilities, we are looking for a BI Analyst / Reports Engineer who will own the reporting layer of our platform — from identifying business needs to delivering production-ready dashboards and report prototypes. 

This role sits at the intersection of data, product, and operations. You will work closely with product managers, operations teams, and engineers to turn data into actionable insights and well-crafted reports. 

About the Role 

This is not a deep data engineering position. We already have strong SQL and Azure expertise in-house. What we are missing is someone who can own the analytics and reporting function — someone who understands what stakeholders need, can prototype quickly, and communicates clearly across technical and non-technical audiences. 

Key Responsibilities 

• Own end-to-end reporting: gather requirements, design, build, and iterate on dashboards and reports 
• Develop reporting PoCs and MVPs to validate ideas quickly before investing in full solutions 
• Communicate regularly with product managers and operations teams to understand business needs and priorities 
• Collaborate with the engineering team to ensure data availability, accuracy, and pipeline alignment 
• Maintain and improve existing reports for clarity, usability, and performance 
• Translate business questions into SQL queries and visual reports 
• Manage reporting-related tasks and requests via Jira, keeping stakeholders informed on progress and delivery timelines 
• Contribute to defining reporting standards, templates, and best practices across the organization 

Must-Have Skills & Experience 

• 2–4 years of experience in a BI analyst, reporting, or similar analytics role 
• Strong communication skills — ability to explain data findings clearly to both technical and non-technical stakeholders 
• Fluent English (written and verbal) — this is essential for daily cross-team collaboration 
• SQL proficiency at an analyst level — comfortable writing queries, joins, aggregations; deep database engineering knowledge is not required 
• Experience with BI/reporting tools such as Power BI, Google Looker Studio, Tableau, or similar 
• Ability to work independently, prioritize tasks, and manage your own reporting backlog 
• Experience working with product or operations teams in an agile environment 

Nice to Have 

• Power BI experience (our current primary reporting platform) 
• Familiarity with Azure data services or cloud-based data platforms 
• Experience with DAX, Power Query, or similar BI-specific languages 
• Understanding of data modeling 
• Experience in SaaS or enterprise platform environments 
• Exposure to ETL concepts and data pipeline basics (enough to collaborate with engineers, not to build them) 

What We Offer 

• Opportunity to own and shape the reporting function on a large-scale international platform 
• A high-impact role with visibility across product, operations, and engineering 
• Work with complex, real-world datasets serving thousands of enterprise customers 
• Collaboration with experienced engineering, product, and business teams 
• A dynamic and fast-paced international environment 

Project overview

Group107 is looking for a Senior BI Developer to join our team on a long-term project for our client, yellowHEAD. You will become part of yellowHEAD’s technology team and co-own the full Agile lifecycle — development, implementation, maintenance, support, and performance tuning. The role involves close collaboration with marketing units, analysts, account managers, and external stakeholders to design and deliver complex data pipelines, internal reports, and customer-facing dashboards. This is a hands-on senior position with strong influence on the team’s technical direction — we are looking for someone proactive who will push the team forward and uplift its professional level.
 

The role is fully remote with a Sunday–Thursday working schedule.
 

Requirements

• Advanced SQL — query optimization, complex joins, window functions, performance tuning.
• Strong ETL/ELT engineering experience; preferred hands-on with Rivery.
• Deep experience with Google BigQuery — data modeling, partitioning, optimization.
• Strong Python (or equivalent) — capable of building APIs and backend services for data products.
• Experience integrating with third-party APIs (e.g., Facebook, Google, Appsflyer, Adjust).
• Hands-on experience with cloud infrastructure: AWS and/or GCP, plus MySQL.
• Hands-on experience with Looker Studio or other dashboard frameworks.
• Practical experience with AI-assisted coding tools (GitHub Copilot, CodeX, or similar).
• Upper-Intermediate (B2)+ English — strong written, verbal, and presentation skills for direct work with internal teams and external clients.
• Proactive, fearless mindset — comfortable iterating on pipelines and challenging the status quo.
• Strong ownership — capable of pushing the team forward and raising its technical bar.
• Service-oriented approach when working with marketing teams, analysts, and account managers.
• Strong stakeholder management — representative and confident in both internal and external communication.
• Mentorship and collaboration — supports middle developers and contributes to code reviews and design discussions.
• Calm, collaborative temperament; team player.
   

Nice to have

• Experience with Tableau and/or Qlik.
• Frontend development experience (React, Angular, WordPress plugin development).
• AI/ML integration into data pipelines or products — deploying pre-built models, orchestrating model workflows, or embedding AI in data services.
• Experience with R for analytics workloads.
• Background in marketing data / digital advertising domain.
   

Responsibilities

• Design, develop, and optimize end-to-end BI pipelines (ETL/ELT) using Rivery, BigQuery, and SQL.
• Build and maintain data models in BigQuery and BI environments to support reporting, analytics, and product use cases.
• Develop backend services, APIs, and automation in Python to support data products and integrations.
• Maintain ongoing integrations with multiple external data sources (Facebook, Google, Appsflyer, Adjust) on cloud infrastructure (AWS, GCP, MySQL).
• Build and iterate on customer-facing dashboards and internal reports in Looker Studio (and other dashboard frameworks as needed).
• Own performance tuning, code quality, and architectural decisions across BI and non-BI technological projects.
• Mentor middle-level developers, drive engineering best practices, and represent the team to internal and external stakeholders.
   

We offer

• 20 paid vacation days (workdays) per year
• 7 paid sick days per year
• Personalized career growth plan with regular performance reviews
• Education reimbursement — courses, certifications, and conferences
• Corporate events and team-building activities
• Full equipment provided for remote work

We are looking for a specialist with a strong experience in security analytics, open and closed networks and data breaches to work on a password manager project.

Required skills:

1) Experience in leak research and analytics

2) Experience with open account databases 

3) Experience with open and closed sources including tor and other sources

A big plus will be:

- Fluent English

- Understanding or hands-on experience with user security programs and password management systems

- Understanding of regulatory specifics regarding the storage and operations of user data

We offer:

- Flexible schedule

- Flexible workload (full-time or part-time)

- Interesting tasks within an international project

- Working on a great product in a good team
- Specified salary depends on experience and is actual for full-time workload

About The Role

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

What You’ll Do

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

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

   

What We’re Looking For

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

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

   

Why Join Us?

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

Perks and Benefits

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

Who are we

EXITEK, an AI-first company, is revolutionizing how photos are edited. With a mission to bring cutting-edge AI technology to the masses.

Team

Marketing team is responsible for the sustainable growth of our user base and revenue. The team’s core job includes strategy, budgeting, reporting, and driving strategic decisions.

Responsibilities:

• Build and maintain reports, dashboards, and KPIs to monitor performance;
• Building predictive models for key product metrics;
• Optimization and automation of processes in analytics, working side by side with engineering team.
• Transform abstract questions into quantifiable metrics.

Requirements:

• 2+ years of experience as a Data Analyst / BI Developer;
• Experience of working with mobile applications or with a subscription business model is a must have;
• Understanding the meaning of basic product and marketing metrics (CR, ROI, LTV);
• Experience working SQL databases;
• High proficiency in SQL;
• Experience with Power BI;
• Ability to understand data and transform it into insights;
• High level of English.

We are hiring a Data Analyst for one of our Israeli clients — a global leader in web data solutions. The company builds and operates large-scale infrastructure that enables organizations to collect, process, and analyze online data at scale. Their products are used by hundreds of leading enterprises worldwide, across sectors such as e-commerce, cybersecurity, fintech, and market research. The organization operates in a high-volume data environment, where analytics play a critical role in product, operations, and strategic decision-making.

As a Data Analyst, you will be part of a cross-functional team, working closely with product managers, engineers, and business stakeholders. You’ll be responsible for uncovering insights, enabling data-driven decisions, and supporting the company’s rapid growth through high-quality analytics and reporting.

Key Responsibilities:

Business Understanding & Data Analysis:

– Understand complex business processes and translate them into analytical questions

– Perform in-depth analysis of operational and product data to identify trends, patterns, and opportunities

– Collaborate with stakeholders to define KPIs and monitor performance

Data Compilation & Reporting:

– Aggregate, clean, and structure data from multiple systems and sources

– Build and automate recurring reports to support business operations

– Translate business requirements into actionable and scalable data solutions

Data Visualization:

– Design intuitive dashboards and visualizations using BI tools such as Tableau or Power BI

– Present findings in a clear and structured manner to both technical and non-technical audiences

Requirements:

– 2–5 years of experience as a Data Analyst or in a similar analytical role

– Proficiency in SQL, including complex queries, joins, and aggregations

– Strong analytical thinking and the ability to independently solve data-related challenges

– Bachelor’s degree in Industrial Engineering, Data Science, Computer Science, or a related field

Nice to Have:

– Experience with Python or R for analysis and scripting

– Hands-on experience with BI tools such as Tableau, Power BI, or similar platforms

– Familiarity with statistical analysis and modeling techniques

This is an opportunity to work with a product-led company at the forefront of big data and infrastructure. You’ll join a culture that values precision, ownership, and clarity, and where data is central to decision-making across all departments.