Job Details

We are seeking a skilled Senior Data Analyst to enhance our data infrastructure, improve data quality and relevance, and support strategic decision-making across sales, marketing, and analytics. This role requires strong technical expertise in working with relational databases, data warehouses, and modern data platforms such as Snowflake. The ideal candidate will be experienced in reverse engineering existing systems, documenting, building and optimizing ETL workflows, and leveraging third-party data sources to deliver actionable insights.
Key Responsibilities:

• Enhance and maintain enterprise data infrastructure to ensure high availability, scalability, and performance.
• Improve data quality, relevance, and trust through data pact creation, validation, and monitoring.
• Design and implement robust data pipelines and ETL workflows for ingestion and transformation of internal and third-party data sources.
• Collaborate with business units (sales, marketing, analytics) to identify data needs and deliver impactful insights.
• Utilize third-party data to enrich existing datasets and improve decision-making.
• Conduct reverse engineering of existing systems to document and optimize data flows and data structures architecture to support modernization and optimization efforts.
• Support data governance efforts to ensure data integrity and compliance.

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Analytics, or related field.
• 10+ years of experience as a Data Analyst or in a similar data-focused role.
• Strong experience with relational databases and data warehousing concepts (RDBMS, Oracle, Snowflake).
• Proficiency in SQL based data solutions.
• Hands-on experience with ETL tools and designing automated data pipelines.
• Ability to reverse engineer legacy systems and document technical workflows.
• Strong understanding of system design principles for analytical and operational data systems.
• Experience with data quality frameworks and working with third-party data sources.

• Familiarity with data orchestration tools (e.g., Airflow, Control-M, etc.).
• Experience supporting data for customer intelligence, marketing automation, or sales enablement platforms.
• Working knowledge of Python or similar scripting languages for data manipulation.
• Strong communication and cross-functional collaboration skills.