Digital Sr. Analyst

Role Summary: 
We are looking for a skilled and detail-oriented Data Analyst to join our Digital Analytics team. The ideal candidate will have 2–5 years of experience in data analytics, with strong technical proficiency in SQL and Python, a solid understanding of data modelling techniques (such as star schema), and hands-on experience with AWS analytics services. The role requires experience in business intelligence (BI) tools and a strong ability to translate data into actionable business insights across our digital platforms, including web, app, and e-commerce.

Key Responsibilities:
• Analyze data across digital platforms (web, mobile app, e-shop) to generate meaningful insights that support decision-making.
• Develop and maintain reports and dashboards using BI tools and AWS analytics services (e.g., Athena, QuickSight).
• Build scalable and well-structured data models using dimensional modeling techniques like star schema.
• Collaborate with cross-functional teams to define reporting requirements and ensure accurate data collection.
• Perform in-depth analysis of digital funnel performance and customer behavior to support marketing and sales strategies.
• Ensure new digital initiatives include proper data tagging and tracking for comprehensive analytics coverage.
• Contribute to the overall improvement of data quality, structure, and governance.

Required Qualifications & Skills:
• Experience: 2–5 years in a data analytics or business intelligence role.
• Technical Skills:
o Proficient in SQL for querying and manipulating large datasets.
o Comfortable with Python for data processing and automation.
o Solid understanding of data modeling concepts, including star schema.
o Hands-on experience with AWS analytics services such as Athena and QuickSight.
o Familiarity with BI tools (e.g., Tableau, Power BI, QuickSight).
• Nice to Have:
o Knowledge of tag management systems (e.g., Tealium).
o Familiarity with ETL processes and tools.
o Awareness of digital analytics best practices.

Preferred Attributes:
• Strong analytical and problem-solving skills.
• Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
• Detail-oriented with a passion for data accuracy and insight-driven decision-making.
• Proactive mindset with the ability to work independently and collaboratively.