Posted on: 17/07/2025
FE fundinfo :
Key Responsibilities :
- Build and maintain dashboards and reports using tools like Power BI, Tableau, or Looker
- Write complex SQL queries, stored procedures, and optimize database performance for analytical workloads
- Conduct data profiling, data validation, and quality checks to ensure accuracy and consistency
- Collaborate with business stakeholders to understand analytical requirements and translate
them into data models
- Perform ad hoc analysis and deep dives to support decision-making across product,
marketing, sales, and operations
- Work with engineering teams to define and implement ETL processes, data pipelines, and
schemas
- Present findings and recommendations clearly to both technical and non-technical audiences
Required Technical Skills :
- Proficient in SQL (joins, aggregations, subqueries, window functions, etc.)
- Proficiency in Excel and data manipulation tools
- Experience with Python or R for data analysis and visualization (preferred)
- Solid understanding of data warehousing concepts, star/snowflake schemas, and dimensional modeling
- Experience working with cloud data platforms (e.g., AWS Redshift, Google BigQuery, Azure Synapse) is a plus
- Familiarity with version control systems like Git and workflow tools like JIRA or Confluence
Qualifications :
- Bachelors or Masters degree in Computer Science, Engineering, or a related field.
- Strong analytical thinking, attention to detail, and problem-solving ability
- Excellent communication and presentation skills
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Posted By
Posted in
Data Analytics & BI
Functional Area
Data Mining / Analysis
Job Code
1514559
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