Data Analyst

Praca zdalna

Regular / Senior

Analityk

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Responsibilities

Partner with business owners, product managers, data scientists, BI developers, andother stakeholders to understand analytics & AI products’ data requirements
Deliver relevant data for consumption in analytics & AI products, ensuring their qualityand completeness
Act as a liaison between technical teams and business stakeholders to ensure alignment of goals and deliverables
Analyze complex data sets to extract actionable insights that inform productdevelopment and enhancement
Leverage business knowledge in commercial domain (customer, consumer, marketing,media, market and basic financial data) to provide context and recommendations that enhance product strategy
Apply insights and relevant data to help the product team enhance existing features and develop new ones
Create, support, and replicate scalable data structures, including table creation,reporting, and data visualizations to meet team needs
Analyze key performance indicators (KPIs) to identify root causes, uncoverinterdependencies, forecast trends, and provide actionable insights
Extract, clean, and analyze data from various source systems to ensure high-quality,accurate reporting
Identify trends, patterns, and actionable insights to help stakeholders make data-driven decisions
Document processes, KPIs, and data models to foster knowledge sharing and teamalignment
Set up best practices, procedures and standards and ensure coordination of dataanalysis activities for use cases in the commercial space
Serve as a mentor and role model for junior analysts, providing guidance, support, and knowledge-sharing to help them grow and develop their skills

Required Qualifications

Master’s degree in Statistics, Computer Science, Data Management, Data Science or a related field
5+ years of experience as a Data Analyst or Data Scientist, preferably within the consumer-packaged goods, FMCG, pharmaceutical or healthcare industry
Business acumen in at least two areas: customer & sales analysis, market & competition analysis, consumer analysis, sales controlling analysis
Familiarity with at least one of the following: CRM systems, Google Analytics, Google Media, Meta Media
Experience with data manipulation and analysis using Azure Databricks, SQL and Python
Familiarity with relational databases (PostgreSQL, MSSQL) and data modelling
Excellent analytical and problem-solving skills with keen attention to detail
Strong communication skills, with the ability to present complex data in a clear and understandable manner
Familiarity with business analysis concepts, including but not limited to requirements elicitation, stakeholder analysis, process documentation

Preferred Qualifications:

Interest and experience with AI tools supporting data analysis and stewardship
Experience with preparing data for AI solutions (e.g. traditional machine learning models, AI Agents)

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