Data Engineer

Data Engineer

4-6 years of experience in a data analyst role with experience in analyzing customer data, sales data, and product data.


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 (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.
Strong 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