Job Description
A client of Jobwhyze LTD seeks an experienced Middle/Senior BI-Data Analyst with expertise in data analysis and visualization tools.
Requirements:
- 3+ years of experience in BI/Data analysis;
- Experience with Tableau;
- Ability to create comprehensive research and data visualization;
- Experience developing complex data structures and queries using Tableau Prep;
- Full proficiency in SQL;
- Solid knowledge of key product metrics, experience in building funnels and making recommendations based on them;
- Understanding of both statistics and regression methods;
- Knowledge of statistics fundamentals and experimental design;
- Experience with A/B and Multivariate testing techniques and measurements;
- Experience in delivering analytical solutions for complex product-related tasks;
- Accountability, strong communication, collaboration, and time-management skills.
Nice to have:
- Experience with Python (Pandas, NumPy, SciPy);
- Experience with Machine learning;
- Experience in creating prediction models and segmentation;
- Data management skills, including extraction, cleaning, and transformation.
Responsibilities:
1. Being familiar with the business and problems, communicating with business and data-savvy, explaining how their challenges are solved through data:
- finding data patterns and dependencies between data and metrics;
- research and draw conclusions on results of A/B tests and provide insights for improvement;
- operational monitoring of key metrics and determining the causes of deviations from the expected values;
- make data analysis to identify trends and patterns and actionable insights
- finding bottlenecks in the product and offering ideas for their improvement;
- evaluation of implemented product initiatives;
- providing analytical support to different product teams.
2. Design and implementation of BI solutions using Tableau tools:
- design, develop, and deploy business intelligence solutions for performing deep data analysis;
- create reports, visualizations, and dashboards for interactive representation of essential factors of overall growth;
- create custom charts and custom calculations and use filters & graphs for a better understanding;
- creating timelines for growth trends and expected outcomes;
- creating documentation explaining reports, metrics, data models, relations, and algorithms.
3. Working with other team members for business suggestions and improvement:
- data mining, importing, and transforming data from various sources like sql servers;
- working on data models and relationship management to get better insights;
- data documentation and explaining data models, relations, and algorithms.
Company offers:
- Full-time work with a flexible visiting schedule;
- Financial conditions: 3000 EUR
- Motivating wages and social guarantees;
- Premium medical insurance (including dentistry);
- Modern and high-quality working equipment;
- Great office location in city centre with parking;
- Opportunity to learn a foreign language;
- Support in sport activities;
- Paid additional training or psychological consultations;
- Unforgettable corporate and team-building event;
- Help with relocation to the Riga office and a residence permit.