Jobs Data Analyst

About us

At OWOX, we believe everyone should have easy access to data.

That's why we created the only self-service data analytics platform that gives control to data analysts and freedom to business users.

‍OWOX BI is now trusted by over 178k users who collaborate around data models, data marts & reports they generate to answer business questions with data and grow revenue faster.

Imagine a world where exploring data is as easy as driving a car - without the limitations of public transport (traditional BI dashboards) or the cost of a private driver (data analysts).

That's exactly what we assure!

What you'll do

As our Data Analyst, you will be responsible for ensuring that all marketing content and demos correctly represent the product’s data capabilities – from SQL queries to dashboards and analytics use cases.

Your responsibilities will include:

• Maintain internal reports for the marketing team.
• Work closely with the content team to act as a bridge - know the product, build demo datasets, demo dashboards, or workflows that showcase product value.
• Record screen share walkthroughs explaining how to solve real-life data problems using OWOX Data Marts.
• Prepare use-cases that can later be turned into content elements, such as blog posts, videos, demos, and tutorials.
• Check if all marketing materials have correct & consistent screenshots.

What we're looking for

• Exceptional proficiency in spoken and written English.
• Strong communication skills with the ability to clearly explain complex data concepts to both technical and non-technical audiences.
• Demonstrated comfort in guiding and collaborating with non-technical team members.
• Expert working knowledge of SQL.
• Proficiency in Google Sheets for data manipulation and reporting.

Nice to have

• Experience in marketing analytics.
• Familiarity with data visualization tools like Looker Studio.
• Working knowledge of Google Analytics 4 (GA4).

What we can offer you

• Opportunities for professional growth and continuous learning.
• Сompetitive compensation package commensurate with experience.
• A smart and friendly team, where ownership, and collaboration are genuinely valued.
• Flexible working hours and a remote-friendly culture.

Send your CV and become part of the OWOX team!

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 a new generation Curacao and MGA-licensed online casino, available in 6 languages (English, French, German, Finnish, Czech, and Japanese) with an impressive record of 25 awards, accreditations, and nominations in only 8 years of operations.

At King Billy, we have created a superb user experience by focusing on the legend of King Billy and his Kingdom and we treat all our employees, partners, providers and, of course, our players with the respect and the attention they deserve.

Our best candidate:

• 2+ years of experience in a Retention/CRM Manager role within the iGaming industry;
• English — Intermediate+ (upper level will be an advantage);
• Strong data analysis skills, ability to formulate hypotheses, and evaluate results;

• Excellent understanding of the specifics of gambling: engagement mechanics, player motivation, and regulatory constraints.

   

If that’s all about you — the position is YOURS!

Responsibilities:

• Develop and execute retention strategies across Tier 1 markets;
• Optimize user lifecycle communications: onboarding, reactivation, loyalty, and churn prevention;
• Launch A/B test and find the best offers and triggers for users;
• Monitor and improve core retention metrics (Retention Rate, ARPU, ARPC);
• Collaboration with other teams (Product, CM, Support, Creative) to comprehensively implement tools;

• Ongoing competitor and industry trend monitoring in the online casino space.

   

Important facts about us:

• 73 great team members;
• Mutual respect and open feedback;
• Projected career growth;
• We have our own volunteer movement, which is aimed at supporting the Armed Forces and war victims;
• Everyone’s opinion is important to us, that’s why we have regular group and one-on-one meetings, distance is not a problem for us;
• In our Kingdom, everyone is concerned about moral and physical health, so we cover expenses for sports and medicine;
• We are for initiative and development, so we create an individual development plan for everyone and compensate for training costs;

• 20 working days of paid vacation per year, timely payment of severance pay, sick leave.

   

Among hundreds of vacancies, we are the icing on the cake, don’t hesitate — it is a match!

If you’re still waiting for a sign, this is it! Feel free to send your great resume!

Responsibilities
● Maintain and optimize dbt models and pipelines.
● Write complex SQL on Snowflake.
● Leverage advanced Snowflake features (Cortex, ML,Task,Streams,Dynamic Tables).
● Build dashboards in QuickSight (or Tableau, Power BI, etc.).
● Bring strong expertise and enthusiasm for BI UI development—craft engaging,
user-friendly dashboards that effectively communicate complex data.
● Deliver reports and perform deep statistical analysis.
● Collaborate on predictive analytics.

Requirements
● 4+ years BI/analytics experience.
● Expert in SQL and Snowflake.
● BI platform skills; QuickSight preferred.
● Strong dashboard/UI design.
● Proficient in stats and data warehousing.
● Advantage: Production dbt experience.
● Advantage: Python for automation/stats.
● Advantage: ML pipeline or real-time analytics experience.

Real People. Real Impact. One Crazy-Good Team.
Let’s Start With a Hello

We’re looking for a detail-oriented and reliable Junior Data Analyst to support our team with daily data exports and reporting. If you enjoy structure, Excel, and working with numbers — this one’s for you.

Who We Are

We’re a fast-paced iGaming company working with multiple data streams: CRM, partner platforms, internal dashboards. We move quickly, rely on accurate data, and value people who can deliver clean, timely reports.

Our culture?
Operational excellence.
Data clarity.
Structured, but agile.
Supportive, smart, and focused on getting things done.

What You’ll Be Doing (Junior Data Analyst)

Exporting data from admin panels, CRMs, and affiliate systems.
Cleaning and organizing raw data.
Preparing reporting tables in Excel and Google Sheets.
Working with clear SOPs and templates.
Delivering ready-to-use reports to managers on time.

What Makes You a Great Fit

Required experience in Igaming

Excellent skills in Excel and Google Sheets.
Attentive, responsible, and accurate in reporting.
Quick learner — able to grasp new systems fast.
Comfortable with repetitive/routine tasks.
Basic analytics toolkit:
 — VLOOKUP / XLOOKUP
 — SUMIFS / COUNTIFS
 — Pivot Tables
 — Data cleaning (IDs, dates, duplicates, text formatting)
 — Logical formulas and data structuring

What’s In It for You

● Entry-level role in a fast-growing iGaming team.
● Mentorship and clear SOPs for every process.
● Stable full-time workload with flexibility.
● Competitive pay with room to grow.
● Remote format + strong team support.

Let’s Wrap It Up

If you love spreadsheets, stay calm in chaos, and enjoy working with data — we’d love to meet you.
Let’s make numbers work.

Our family-style company is looking for a Marketing Analyst (SEO & AI Visibility) to help grow our organic presence in European and North American markets. This is an opportunity to shape how our service pages, blogs, and company materials reach both search engines and real users.

About the Role
At UKAD, you’ll focus on analyzing and optimizing content rather than pure copywriting. Your work will make our service pages, blogs, and other materials clear and effective for search engines, AI algorithms, and real users, combining data-driven insight with creativity.

What you’ll do:

• Analyze search demand across SE, NO, DK, NL, UK, and US markets, and optimize service pages for structure, clarity, and AI visibility
• Audit and improve pages, drafts, and notes while keeping a consistent, factual tone
• Track competitor backlinks, identify opportunities, and suggest link-worthy content
• Track competitors, trends, and AI visibility in key areas (.NET, Umbraco, Optimizely, AI, Staff Augmentation)
• Monitor performance in GA4, Search Console, and Semrush: top pages, AI visibility, keyword growth, CTR, technical issues

• Recommend priorities for updates every 2-4 weeks.

   

What We’re Looking For:

• Experience in B2B IT or digital agencies
• Strong SEO knowledge: keywords, search intent, on-page and basic technical SEO
• Understanding of service page structure in IT outsourcing
• Ability to analyze content, not just write it
• Experience with Semrush, Ahrefs, GA4, and Search Console
• Analytical mindset and comfort working with data
• Good written English, structured and clear (not necessarily creative)

• Understanding of target audience (CTOs, Tech Leads, founders, digital agencies) is a plus.

   

Nice to have:

• Basic understanding of technologies: .NET, Azure, React, CMS, AI integration
• Experience monitoring AI search results / AI overviews
• Experience managing content plans across multiple markets

• Ability to create content briefs for technical articles.

   

What We Expect:

• Improved organic visibility for key areas within 3–6 months
• Increased number of key pages appearing in AI overviews
• Higher CTR on main service pages
• Structured pages created and updated
• Citation & backlink opportunities identified with priorities
• Regular competitor analysis (monthly)

• Consistent content across all service pages.

   

What we offer:

• A really promising long-lasting project (you will be proud of yourself)
• Sane and polite, but effective management
• The best corporate culture (according to our teammates' opinions)
• Competitive salary and other stuff
• Remote work, full time

• Becoming not just another team member, but a part of UKAD with unique value and long-term relationships.

   

Some facts about UKAD to help you make a decision:
During 2022-2025, we only increased cooperation with our foreign partners
UKAD combines benefits of family-sized companies, like no bureaucracy, easy access to the executives, with sustainable growth and vast opportunities
Our company is strong enough to be not just a vendor but a tech partner. We can afford to choose customers that respect developers
UKAD is one of the leading employers in Kharkiv, according to DOU.

Aren't we the company you're looking for?

We are looking for a Marketing Data Analyst to analyze marketing funnels, user behavior, and monetization metrics — and help the team make data-driven decisions.

Responsibilities

• Analyze marketing funnels and user behavior
• Perform cohort, retention, and conversion analysis
• Evaluate the performance of marketing channels: Meta Ads, ASA, Google Ads
• Work with monetization metrics: LTV, CAC, ROAS, ARPU, ARPPU
• Identify insights, anomalies, and growth opportunities
• Work with data from AppsFlyer, Firebase Analytics, RevenueCat
• Build recurring reports, dashboards, and forecasting models
• Support the marketing team with test planning and hypothesis validation

Requirements

• 1.5–2+ years of experience in marketing or product analytics
• Strong SQL skills (BigQuery is a big plus)
• Advanced Google Sheets / Excel:
• Ability to build dashboards and analytical models
• Strong understanding of mobile metrics (LTV, CAC, ROAS, retention)
• Experience working with mobile apps (preferred)
• Ability to work with incomplete data, identify insights, and present conclusions clearly

Your tasks:

• Responsible for setting up, validating, and maintaining tracking in Google Analytics (GA4), Google Tag Manager (GTM) (including server-side tagging)
• Responsible for and ensure high-quality data collection and accuracy on our channels (such as Google, Meta, Pinterest)
• Handle Meta and Pinterest Ads integrations including catalog management and Conversions API (CAPI).
• Understand browser mechanics and leverage developer tools for effective tag and tracking code deployment.
• Perform technical SEO checks related to site performance and data accuracy—such as monitoring crawl issues, validating structured data, reviewing indexation-relevant tags (robots, canonicals), and ensuring marketing/tracking scripts load correctly.
• Implement tracking pixels and partner codes accurately across multiple environments.
• Set up and work with A/B testing tools (i.e. Zoho Pagesense or similar optimization tools like Google Optimize).
• Integrate and troubleshoot Google Merchant Center, ensuring clean data feeds and smooth error resolution.
• Manage Google Ads campaigns with a strong focus on lists, segments, audiences, and conversion tracking.
   

Minimal requirements:

• 2+ years of experience working with digital marketing tools and analytics platforms.
• Strong technical expertise in setting up and debugging tracking, dataLayer, and GTM. 
• Familiarity with JavaScript, HTML, and CSS for tracking implementations. 
• Hands-on experience with server-side tracking. 
• Openness to learn quickly
• Good spoken/written English, min B2 level

Nice to have:

• Knowledge of CRO.
• Experience with Google Looker Studio, and Google BigQuery.
• Knowledge of SEO and Google Search Console.
• Basic understanding of PHP.

Our offer:

• Remote full-day work (from home office)
• Flexible starting of the day
• Working only 8 hours per day
• Opportunities to use new technologies, propose and implement your creative ideas
• Paid annual leave (10 working days)
• Diverse and challenging tasks
• Very friendly team

The project involves building an enterprise-grade web portal for an energy domain company that consolidates Power BI project data into a single, secure, role-based user interface.
The solution includes dynamic dashboards, embedded Power BI reports, certified document previews, SSO authentication via Microsoft Entra ID, RBAC permissions, audit logging, and integration with multiple sources of project information.
As part of the team, you will work closely with business stakeholders, architects, UX, and engineering to ensure the solution meets the operational and analytical needs of various user groups across the organization.

Requirements:

We are looking for a highly skilled Senior Business Analyst with experience in enterprise software projects and an understanding of the energy domain.
You will drive the requirements discovery process, analyze client needs, work with stakeholders, and prepare structured documentation for the development team.
Your work will include reviewing client materials, extracting user and business problems, structuring them into clear deliverables, and supporting the team with functional flows and acceptance criteria. You will be contributing to the following key activities:

• Requirements elicitation & analysis
• Gap analysis and impact assessment
• Backlog creation and prioritization
• Preparing user stories, acceptance criteria, workflows
• Supporting design of role-based flows, dashboards, reporting logic, and certification workflows

Job responsibilities:

Your role will include the following activities:

• Research and analyze client documents
• Prepare gap analysis reports and identify missing capabilities
• Extract user problems and business needs from unstructured sources
• Create and maintain a prioritized backlog of market / client problems
• Define user stories, acceptance criteria, and functional specifications
• Support UX/UI and architectural discussions with clearly structured requirements
• Collaborate with Product Owner, architects, and the engineering team
• Validate requirements with stakeholders and ensure alignment with business goals
• Support UAT preparation and documentation

We are looking for a BI Analyst to strengthen the analytics direction within an evolving startup product.
The role focuses on migrating and improving existing dashboards, enhancing data workflows, and supporting strategic decision-making through clear and reliable BI reporting. You will work directly with the Head of Analytics and collaborate with a small cross-functional team already involved in the project.

Key Responsibilities:

Design, migrate, and optimize BI dashboards in Tableau or Power BI
Work with MySQL data sources, prepare datasets, validate data quality
Translate product and business requirements into clear visual reporting
Enhance and automate BI workflows, improving overall reporting efficiency
Collaborate with the analytics team to scale the BI system and standards

Requirements:

2+ years of experience with Tableau or Power BI
Hands-on experience building or migrating dashboards and reports
Basic proficiency in SQL, ability to write and interpret queries (MySQL)
Understanding of BI logic and data modeling principles
Independence, initiative, and strong analytical thinking
Clear communication and ability to work within an evolving product environment

Nice to Have:

Python for automation or data preprocessing
Experience with ETL concepts or cloud data platforms
Background in startup or product teams where processes evolve quickly
Ability to document workflows and improve reporting structure

Benefits:

Flexible workload including part-time options
Remote-first model
Paid vacation and sick leave
Opportunity to influence the BI architecture from early stages
Work in an NDA-protected internal product without external client rotation

We are looking for a Data Analyst who will transform business data into meaningful insights that support strategic and operational decision-making. The ideal candidate has strong analytical skills, experience working with large datasets, and the ability to create clear visualizations and reports using tools like Power BI.

Responsibilities:

• Analyze business, market, or operational datasets to identify trends, risks, and opportunities.
• Conduct statistical analyses, forecasting, segmentation, and performance evaluations.
• Perform market research and competitive benchmarking when required.
• Provide actionable insights and recommendations to stakeholders across different business domains.
• Develop and maintain dashboards and automated reports in Power BI.
• Build clear and intuitive visualizations that communicate data insights effectively.
• Ensure reporting accuracy and consistency by applying data validation and quality checks.
• Support decision-making through ad-hoc analyses, KPI tracking, and business case creation.
• Collaborate with cross-functional teams to identify analytical needs and deliver solutions.
• Extract and prepare data using SQL and Python (Pandas, basic data wrangling).
• Clean, standardize, and transform datasets from multiple sources.
• Maintain documentation for analytical methods, dashboards, and recurring reports.

Requirements:

• 4+ years of experience as a Data Analyst.
• Strong proficiency in SQL.
• Hands-on experience with Power BI.
• Practical knowledge of Python for data manipulation and analysis.
• Advanced Excel skills (pivot tables, functions, power queries).
• Understanding of statistical methods: regression, forecasting, clustering, hypothesis testing.
• Experience conducting comprehensive market research and price studies.
• Ability to translate research findings into actionable insights and strategic recommendations for business decision-making.
• Ability to apply quantitative analysis techniques to assess market trends, pricing strategies, and competitive landscapes.
• Familiarity with advanced statistical methods and strong ability to present complex analytical findings through clear visualizations.
• Strong analytical and critical thinking abilities.
• Clear communication skills — ability to explain complex data in simple terms.
• High attention to detail and strong data accuracy discipline.
• Ability to manage multiple tasks and work independently.
• English Upper-Intermediate + 

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

About Us:

Entravel is a member’s club for discounted luxury travel and white-label hotel platform provider focusing on the crypto industry, backed by VCs and prominent European founders. Our hotel product is incredibly strong; we offer more than one million properties, and our rates are amongst the lowest in the world. In fact, on most 5* hotels you won’t find a platform with lower rates than Entravel.

We are looking for a full-time, detail-oriented and motivated Junior Analyst to join our team. This role requires you to collect various data from different sources and for different purposes, analyse the collected data, generate reports, and assist in finding ways to improve the companies data gathering.

Key Responsibilities:

• Collect, clean, and analyse data from various sources.
• Assist in preparing reports, dashboards, and presentations for internal stakeholders.
• Support senior management in developing models and identifying trends and insights.
• Monitor key performance indicators (KPIs) and provide regular updates.
• Participate in team meetings and contribute to problem-solving discussions.
• Maintain accurate documentation of processes and findings.

Requirements:

• College degree.
• Strong proficiency in Excel.
• Analytical mindset with strong attention to detail.
• Good communication and presentation skills.
• Ability to work independently and as part of a team.
• Strong communication skills, able to collaborate effectively across teams in both English and Ukrainian.

What We Offer:

• Supportive team environment and mentorship.
• Opportunity for professional growth.
• Exposure to the world of travel and crypto technology.
• Valuable Experience and direct work with data and technology.
• Training Opportunities.
• Vacation: Enjoy 22 days of vacation for full rejuvenation and life enjoyment.
• Sick Leave: Ensure your health with 15 days of sick leave per year.
• Special Leave Cases: Support for significant life events such as weddings, childbirth, or the loss of a close family member.
• Team Building and Corporate Events: Strengthen team relationships through team-building activities and corporate events.

We're looking for a Game Analyst to join a product-focused iGaming company.

Our client develops slot games for the international market. The team brings together engineers, analysts, and creative specialists who build gaming solutions for different regions worldwide.

Company Culture:

We move fast, work transparently, and avoid unnecessary bureaucracy. We value people who take ownership, show initiative, and propose solutions rather than wait for instructions. Results and comfortable collaboration matter most.

Key Responsibilities:

• Analyze casino operators and aggregator platforms across different GEOs
• Create detailed reports on top-performing and high-demand games to identify which games (themes/math models) resonate in specific markets and their revenue potential
• Research market trends and player preferences
• Analyze gaming products: slots, live casino, crash games, instant games
• Monitor industry developments and best practices in iGaming

Required Qualifications:

• 3+ years of experience as a Data Analyst or Product Analyst, specifically in iGaming
• Strong understanding of iGaming mechanics: RTP, volatility, freespins, jackpots, bonus features
• Knowledge of key product metrics (LTV, ARPU, retention, DAU/WAU/MAU)
• Ability to analyze A/B test results and apply statistical analysis
• Attention to detail, structured thinking, and the ability to work independently

What We Offer:

• Compensation paid in cryptocurrency
• 100% remote work
• Flexible working hours
• 5-day work week with paid weekends and public holidays
• Minimal bureaucracy – quick decision-making without excessive formalities
• 15 working days of paid vacation + 7 paid sick days
• Growth opportunities based on performance, ambitions, and goals

Selection Process:

• Pre-screening chat – a quick introduction to assess mutual fit
• 30-minute interview with Talent Acquisition – we'll discuss your background, career goals, and expectations
• Interview with the hiring manager – we dive into specifics: your future responsibilities, challenges ahead, and the actual work you'll be doing

Middle Data Analyst (with a Growth Path to Lead)
 

About Us

We’re a fast-growing, product-driven startup.
No heavy bureaucracy, no endless approval chains — instead, you get ownership, speed, and the opportunity to build processes the right way from day one.

We’re looking for someone who is ready not just to “work with reports”, but to actively shape our data culture and grow into a Lead role as the company scales.
 

Who We’re Looking For:

A Middle Data Analyst who:

• Sees the product through the lens of data, business impact, and long-term value.
• Is ready to take ownership of analytical processes and grow into leading the analytics function.
• Feels comfortable in a startup environment, where many things are being built from scratch — and enjoys that dynamic.
• Can collaborate closely with product, engineering, finance, and leadership to drive data-informed decisions.
   

What You’ll Work On:

Build and evolve the analytics ecosystem

• Help design and implement end-to-end analytics infrastructure: event tracking, data warehouse, data models, access layers, standards.
• Contribute to scalable foundations that support rapid product growth.

Predictive analytics & ML prototypes

• Work with product and engineering teams to explore high-impact use cases.
• Build and test prototypes, support integration into the product.

Data pipelines & ETL

• Create, automate, and maintain ETL processes to ensure timely, accurate, and reliable data.

Dashboards & insights

• Build dashboards for product, marketing, finance, and operations.
• Transform raw data into clear insights that influence day-to-day decisions.

A/B tests & experimentation

• Design and analyze experiments.
• Help improve the experimentation framework used across the product.

Finance collaboration

• Work with finance on forecasts, LTV and unit economics models, plans vs actuals, and growth scenarios.

Cross-functional partnership

• Collaborate with C-level and product managers on hypotheses, priorities, and decision-making processes.
   

What We Expect From You:

• 1.5–2+ years of experience in data analytics within product companies.
• Strong experience running A/B tests and working with experimentation methodologies.
• Solid skills in Python, SQL, and analytics automation.
• Experience with GTM, GA4, Amplitude, or similar tools.
• Understanding of product metrics:
  retention, conversion funnels, cohort analysis, LTV, CAC, unit economics.
• Experience working with BI tools (Tableau, Looker, Power BI, etc.).
• Ability to turn complex data findings into clear recommendations for non-technical stakeholders.
• Proactive mindset with focus on outcomes and willingness to grow into a Lead role.
   

Nice to Have:

• Experience building analytics systems or migrating to more scalable setups.
• Experience with B2C SaaS or subscription-based business models.
• Familiarity with predictive analytics, machine learning approaches, or advanced statistical models.

Responsibilities:

• Engage with key stakeholders (product managers, marketers) to identify needs and shape the analytics strategy
• Prioritize tasks based on business value and potential impact while balancing urgent requests with long-term strategic initiatives
• Build and maintain dashboards, reports, and key metrics to support data-driven decision-making
• Design, run, and analyze A/B tests to validate hypotheses, measure the impact of product changes, and drive continuous improvement
• Collect requirements and maintain the event logging template to ensure accurate and comprehensive tracking of user interactions and key product events
• Ensure data quality, uncover insights, and provide actionable recommendations to improve product and marketing performance
   

Requirements:

• 2+ years of experience in a similar analytics role
• Advanced SQL proficiency for querying and analyzing large datasets
• Strong Python skills (pandas, data visualization, statistics) for data manipulation and analysis
• Solid understanding of statistics, including experiment design, statistical tests, correlation analysis, and segmentation
• Hands-on experience with BI tools such as Tableau or Power BI
• Ability to communicate insights effectively by presenting analysis results in a clear and compelling manner
   

Would be a plus:

• Experience in full-cycle product analytics — owning both product and marketing analytics, independently prioritizing analytical tasks, and driving data-informed decisions
• Experience with subscription monetization products — understanding key metrics, user retention, churn analysis, and revenue optimization strategies
• Basic knowledge of Data Science — familiarity with machine learning concepts, predictive modeling, or clustering techniques
   

Technologies/tools used by the team:

• Tableau
• SQL
• AWS: Redshift, RDS, EC2, S3
• Python
• Airflow
• Git