Data Engineer – Analytics & Business Intelligence

Key responsibilities

• Analyze large volumes of analytical data (sales, customer, product) to identify patterns, trends, and insights.
• Develop and maintain data reports and dashboards using business intelligence tools such as Tableau or Power BI.
• Collaborate with business teams to understand key objectives and data needs.
• Analyze customer behavior, product usage, and historical purchase data to identify cross‑selling opportunities.
• Ensure data models and structures are well‑designed to facilitate analysis and reporting.
• Act as a bridge between data engineers and business stakeholders, ensuring data aligns with business needs.

Required profile

• 4–8 years of experience in a data analyst or data engineering role.
• Excellent communication and presentation skills.
• Proficiency with databases (SQL & NoSQL) and complex data queries.
• Familiarity with data wrangling, ETL processes and data cleaning techniques.
• Clear understanding of data warehousing and cloud‑based analytics.
• Ability to apply data insights to influence marketing strategies, sales tactics, and product offerings.

Required skills

• Python
• SQL
• Java
• Tableau
• Power BI
• Azure Data Factory
• Azure Data Lake
• NoSQL databases
• ETL
• Data warehousing
• Cloud analytics