Middle/Senior Business Intelligence Analyst

This is a fully remote position, open to applicants anywhere in the world.

📋 Description

• Assist the Commercial team by providing data-driven insights and performance analyses to support decision-making.

• Evaluate, enhance, and manage client acquisition and rewards programs across both supply and demand sectors.

• Examine product usage, customer behavior, acquisition funnels, and client lifecycle data to pinpoint opportunities for growth, retention, and monetization.

• Collaborate with Product, Data, Sales, and Finance teams to assess the commercial implications of product initiatives and new features.

• Perform cohort, segmentation, funnel, and performance analyses to identify key business drivers.

• Establish and standardize methodologies for client referral programs.

• Investigate the customer acquisition journey and implement a cohesive client lifecycle framework along with common business definitions.

• Aid in the development, evaluation, and organization-wide implementation of key performance indicators.

• Deliver sales forecasts and commercial performance analyses across international markets.

• Generate quarterly sales predictions for the regular business planning cycle.

• Define and establish metrics to assess commercial performance and track strategic initiatives.

• Anticipate, evaluate, and monitor new projects and individual campaigns led by the commercial teams.

⛳️ Requirements

• Over 5 years of experience in Business Intelligence, Business Analytics, or a comparable analytical role.

• Advanced proficiency in SQL, including handling complex datasets and crafting efficient analytical queries.

• Extensive experience with BI and data visualization tools like Tableau, Power BI, or equivalent.

• Solid understanding of data modeling, data quality, and consistency in metrics.

• Proficient in Python for data analysis, automation, and managing complex datasets.

• Familiarity with applied statistics and quantitative methods for business analysis, forecasting, and decision-making.

• Experience with cohort analysis, segmentation, funnel analysis, and the development of KPIs.

• Strong business acumen that links analytical insights with financial and operational results.

• Capability to structure ambiguous problems, formulate hypotheses, and independently propose data-driven solutions.

• Excellent communication and data storytelling abilities, including the skill to present findings to senior stakeholders.

• Fluent in Ukrainian (preferred).

• Advanced proficiency in English.

🏝️ Benefits

• Permanent employment.

• Opportunity to work remotely from anywhere in the world.

• A culture of innovation, collaboration, and a people-first approach.

• Opportunities for mutual growth in a dynamic environment.