- 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 (e.g., Tableau, Power BI, etc.)
- Collaborate with business teams to understand key business 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 is aligned with business needs.
Skill set
- 4-8 years of experience in a data analyst role
- Excellent communication and presentation skills are essential.
- Proficient in data engineering tools and languages such as Python, SQL, and Java.
- Robust knowledge of business intelligence (BI) tools such as Tableau, Power BI or similar for creating reports and dashboards.
- Ability to work with databases(SQL & NoSQL) and perform complex data queries.
- Familiarity with data wrangling, ETL processes and data cleaning techniques.
- Clear understanding of data warehousing & cloud based analytics .
- Ability to apply data insights to influence marketing strategies, sales tactics, and product offerings.
- Experience in Azure Data Factory and Azure Data Lake
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📌 Data Engineer (Kochi)
🏢 Innovature
📍 Kochi
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