Senior Data Analyst

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.
Required Qualifications:
•    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.
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Preferred Qualifications:
•    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