Data Analyst

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About us
Fozzy Group is one of the largest trade industrial groups in Ukraine and one of the leading Ukrainian retailers, with over 700 outlets all around the country. It is also engaged in e-commerce, food processing & production, agricultural business, parcel delivery, logistics and banking.
Since its inception in 1997, Fozzy Group has focused on making innovative business improvements, creating new opportunities for the market and further developing the industry as a whole.

Job Description:
Foodtech team is looking for Data Analyst to help us with implementation of Operational Analytics function to develop analytical tools for rapid growth of newly formed food delivery business. As a team member at E-Commerce Business Unit of Fozzy Group, you will help to transform our operational data and KPIs into tangible business value by analyzing information, communicating outcomes and collaborating on product development.

Seniority Level: Middle-Senior level
Employment Type: Full-time
Job Functions: Data Analysis

Job Responsibilities:
• Perform data analysis on products / services / business unit functions, evaluate & forecast performance;
• Transform large data sets into insights, recommendations and actionable plans for product management teams;
• Maintain SQL queries and procedures to translate output of data analysis into insightful reports;
• Develop ad-hoc dashboards and define KPI metrics to monitor project performance and identify key insights for product optimization;
• Create reports and presentations for top & senior management;
• Collaborate with project team: Product Owners, Product Managers & Data Engineers during entire project life cycle, take part in CRISP-DM standard implementation.

• Bachelor’s Degree in Mathematics / Quantitative Economics / Econometrics / Statistics / Computer Sciences / Finance;
• At least 2 years working experience on Data & Analytics;
• Strong mathematical background in Linear algebra, Probability, Statistics & Optimization Techniques;
• Experience in handling Structured and Unstructured data, writing advanced SQL queries, Data Wrangling, Data Visualization, Data Acquisition & Predictive modeling.

Must Have
• Knowledge of Reporting and Business Intelligence Software (Power BI, Tableau)
• SQL (Window & Analytic functions, Nested Queries);
• Python (at least numpy, pandas, sklearn).
• Experience with data engineering tools (Airflow + Kubernetes);
• Skills in Advanced Regression Modeling, Multivariate Analysis, Time Series Analysis and application of Statistical Concepts (Hypothesis testing, A/B tests, Factor analysis / PCA).

What We Offer:
• Competitive salary;
• Professional & personal development opportunities;
• Being part of dynamic team of young & ambitious professionals;
• Corporate discounts for sport clubs and language courses;
• Medical insurance package.

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