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Product Data Analyst

SharksCode·Salary not specified

Primary stack

A/B TestingPower BISQL

Nice to have's

PythonRDatabricksClickHouseMachine learning

Job description

Description language:

About the Position

SharksCode - a Ukrainian IT company specializing in developing high-tech software solutions and platforms in B2B, particularly in the iGaming sector.

We are looking for an experienced Product Data Analyst who will become a key partner for product teams in making data-driven decisions. This role is for a specialist who deeply understands the product cycle, can design and analyze experiments, and translates data into specific product solutions.

Responsibilities

Product Analytics

  • In-depth analysis of user behavior: funnels, retention, segmentation, user paths in the product.
  • Identifying drop-off points, conversion barriers, and opportunities for growth.
  • Analyzing the impact of product changes on key metrics.

A/B Testing and Experiments

  • Designing and supporting A/B tests from hypothesis to conclusion.
  • Calculating the necessary sample size, test duration, and selecting success metrics.
  • Statistical validation of results, identifying novelty effects and other artifacts.
  • Fostering a culture of experimentation with product teams.

Analytical Tools and Reporting

  • Creating interactive dashboards for product teams in Power BI.
  • Automating regular product reporting.
  • Maintaining documentation on metrics, definitions, and testing methodologies.

Collaboration with Teams

  • Close work with Product Managers to form a data-driven roadmap.
  • Advising stakeholders on data-driven decision-making.
  • Supporting the launch of new features and evaluating their effectiveness.

Requirements

  • 3+ years of experience in product analytics, preferably in product companies, fintech, or iGaming.
  • Deep experience in conducting A/B testing: hypothesis formulation, experiment design, sample size calculation, uplift assessment, and statistical significance (p-value, confidence intervals, multiple testing correction).
  • Proficiency in SQL (Spark/Athena/BigQuery/Redshift, etc.).
  • Deep understanding of product metrics: Retention, Churn, LTV, ARPPU, Conversion Rate, Funnel analysis, Cohort analysis, DAU/MAU.
  • Experience with product analytics tools: Amplitude, Mixpanel, GA4, Firebase, or similar.
  • Experience with Power BI or similar: creating interactive dashboards for product teams.
  • Ability to verify data quality and reliability, detect data inconsistencies in product events.
  • Skills in formulating clear analytical recommendations and communicating them to a non-technical audience.

Nice to Have

  • Experience in iGaming / Fintech / eCommerce with work on revenue-driving products.
  • Knowledge of Python or R for statistical modeling and analysis.
  • Experience with Databricks, ClickHouse.
  • Practical experience with ML: user segmentation, predictive churn, recommendation systems.
  • Understanding of event tracking principles and experience with GTM/GA4/Firebase setup.
  • Experience in building analytical Data Marts and semantic layers.

We Offer

  • Hybrid work format.
  • Pet-friendly office in the center of Kyiv with a lounge area for work and relaxation.
  • 24 paid vacation days, 14 sick days, and 5 days off.
  • Flexible start time - from 9:00 to 11:00.
  • Health insurance.
  • Lounge area in the office to switch off from work tasks.
  • Padel tennis, football, and training on the field for those who love active leisure.
  • Training compensation, internal meetups and workshops, and access to a corporate LMS with courses.
  • Corporate currency that can be exchanged for merchandise, gifts, or additional benefits.

About the Company

SharksCode is a Ukrainian IT company specializing in developing high-tech software solutions and platforms in B2B, particularly in the iGaming sector. We are committed to creating innovative products that drive business growth and enhance user experience.

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© SharksCode. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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