Position: Business Data Analyst / BI engineer
Company: NIX Solutions
Experience required: no_exp
English level: upper

**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 DBMS (PostgreSQL);
- 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.