Senior Data Warehouse Analyst

1 week ago

Bengaluru, Karnataka, India Uplers Full time
Job Description

Responsibilities:

- Collaborate with business users, analysts, and other stakeholders to understand their data and reporting requirements.
- Translate business needs into clear and concise functional and technical specifications for data warehouse development.
- Analyze source system data to understand its structure, quality and potential for integration into the data warehouse.
- Work closely with developers to contribute to the design and implementation of logical and physical data models.
- Closely integrate with Quality Analysts to identify and troubleshoot data quality issues within the data warehouse.
- Assist in performance tuning efforts for SQL queries and data retrieval processes for business stakeholders.
- Participate in data quality initiatives, including defining data quality rules and monitoring data accuracy.
- Adhere to data governance/security policies and procedures.
- Assist in the creation and maintenance of data dictionaries and documentation.
- Effectively communicate technical concepts to both technical and non-technical audiences.
- Collaborate with data engineers, BI developers, and other team members to deliver data solutions.
- Stay up-to-date with the latest trends and technologies in data warehousing and business intelligence.

Qualifications:

- Bachelor's degree in Computer Science, Information Systems, Business Analytics, or a related field.
- 6-8 years of data experience with 3-5 years of experience as a Data Warehouse Analyst or a similar role.
- Strong proficiency in SQL and experience querying large datasets across various database platforms (e.g., GCP, Snowflake, Redshift).
- Solid understanding of data warehousing concepts, principles, and methodologies (e.g., dimensional modeling, star schema).
- Good understanding on Affiliate Marketing Data (GA4, Paid marketing channels like Google Ads, Facebook Ads, etc - the more the better).
- Experience working with ETL/ELT processes and tools.
- Basic DBT understanding.
- Hands-on experience with at least one major business intelligence and data visualization tool (e.g., Tableau, Power BI, Looker).
- Excellent analytical, problem-solving, and data interpretation skills.
- Strong communication (written and verbal) and presentation skills.
- Ability to work independently and as part of a collaborative team.
- Detail-oriented with a strong focus on data accuracy and quality.
- Experience with cloud-based data warehousing platforms (e.g., AWS, GCP).

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