Business Data Analyst / BI engineer

We are looking for someone with an analytical mindset to join our team for this position to work in a friendly analytics department. Here you will be able to take part in finding insights, researching and processing large amounts of data, interacting with end-users, business analysis of new requests, as well as demonstrating your leadership skills.

Essential Duties and Responsibilities:

• Identify and define business needs and goals;

• Design data models for entities and paired relationships;

• Interact with customers, products, and engineering teams;

• Explore, analyze and process vast amounts of data, turning it into actionable business insights;

• Apply business analysis and product analytics techniques and approaches;

• Requirements specification;

• Build automated dashboards and reports to provide company-wide awareness and insight into key metrics using various BI and analytical tools;

• Perform ad-hoc analytical requests to transform data into information.

Qualifications:

• Master’s degree in Economics, Mathematics, Computer science, or a similar field;

• English proficiency level Upper-Intermediate.

Desired Skills:

• Experience with BI tools (Power BI, Tableau, Looker etc.);

• Experience with DWH (Snowflake, BigQuery, AWS RedShift, etc.);

• Full proficiency in SQL (data modeling, queries, analytical/window functions);

• Familiarity with data warehouse and ETL pipelines principles;

• Advanced level of proficiency in MS Excel;

• Data mining and data analytics techniques;

• Experience translating business needs/requirements into technical specifications (collecting, presenting, estimating, prioritizing, etc.));

• Clear understanding of the principles and specifics of software development methodologies (SDLC);

• Extensive knowledge of business analysis techniques (use-case scenarios, user stories, user story mapping, prioritization techniques, estimation approaches, etc.)

• Communication and negotiation skills to establish and maintain good working relationships with external organizations and internal customers;

• Excellent time-management skills, ability to learn quickly and handle multi-tasking activities;

• Experience with Git/VCS;

• Knowledge of requirements management tools: Jira and Confluence.

Nice To Have:

• Experience with Python 3 (Pandas, Numpy, etc.);

• Experience with cloud tools (AWS, Azure, GCP);

• Experience analyzing data from third-party providers: Google Analytics (GTM), AdWords, Facebook Insights, etc.;

• Experience with product analytics tools: Google Analytics, Amplitude, Mixpanel, etc.

• Good understanding of data mining/data analysis methods, working knowledge of statistical methods (Correlation, Regression, Cluster analysis, K-means, decision trees, etc.)

• Application to business problems: KPI, OKR, Conversions, LTV/CAC, ROI, Cohort analysis, a-ha moment analysis, ABC-analysis;

• A/B testing methods.

If you believe you are ready and would like to join our team, please send your CV to  Отправить резюме . We look forward to meeting you!