DescriptionBe an essential member of a diverse team of professionals dedicated to making a lasting impact!
As a Finance Data & Insights Associate on the Marketing Finance Data & Insights team you will play a key role in designing developing and optimizing data solutions that support the Marketing Finance & Business Management functions. This position requires strong collaboration with business stakeholders and cross-functional teams to deliver a robust DataMart efficient ETL processes and insightful analytics and reporting solutions.
Job responsibilities
- Design and implement comprehensive and efficient data mart schemas that consolidate key data categories from various source systems tailored to the needs of the Marketing Finance & Business Management functions.
- Collaborate with Business stakeholders to understand requirement and accordingly map source & calculation logic.
- Collaborate with cross-functional teams including data engineers data analysts and technical specialists to gather and analyze business requirements.
- Develop implement and optimize data workflows Extract Transform Load (ETL) processes and data pipelines using Databricks.
- Utilizing Databricks and ThoughtSpot tools create a robust and efficient reporting environment for marketing Finance data analytics and reporting.
- Work closely with your business domain Product teams and business stakeholders to: 1) design and develop insightful reporting and analytics solutions that drive informed decision-making; 2) apply design led thinking to meet their needs including making data discoverable and accessible for analytical needs.
- Maintain up-to-date documentation on data mart architecture data models ETL processes and data governance policies.
Required qualifications capabilities and skills
- 5 years of experience in data management data engineering data lineage data dictionaries and making data discoverable.
- Bachelors degree in Computer Science Information System or related discipline.
- Good Knowledge of data architecture data warehousing and data integration with a focus on the retail banking or financial services industry.
- Expertise in designing and implementing scalable and efficient data mart architectures including star schema snowflake schema and other data modeling techniques.
- Experience with Python Databricks Snowflake or other Cloud Data Warehouse Data Engineering Data Modeling ERWIN.
- Ability to deliver complex data projects in a fast-paced dynamic environment.
- ThoughtSpot Tableau Alteryx or Essbase experience.
Required Experience:
Senior IC
DescriptionBe an essential member of a diverse team of professionals dedicated to making a lasting impact!As a Finance Data & Insights Associate on the Marketing Finance Data & Insights team you will play a key role in designing developing and optimizing data solutions that support the Marketing Fin...
DescriptionBe an essential member of a diverse team of professionals dedicated to making a lasting impact!
As a Finance Data & Insights Associate on the Marketing Finance Data & Insights team you will play a key role in designing developing and optimizing data solutions that support the Marketing Finance & Business Management functions. This position requires strong collaboration with business stakeholders and cross-functional teams to deliver a robust DataMart efficient ETL processes and insightful analytics and reporting solutions.
Job responsibilities
- Design and implement comprehensive and efficient data mart schemas that consolidate key data categories from various source systems tailored to the needs of the Marketing Finance & Business Management functions.
- Collaborate with Business stakeholders to understand requirement and accordingly map source & calculation logic.
- Collaborate with cross-functional teams including data engineers data analysts and technical specialists to gather and analyze business requirements.
- Develop implement and optimize data workflows Extract Transform Load (ETL) processes and data pipelines using Databricks.
- Utilizing Databricks and ThoughtSpot tools create a robust and efficient reporting environment for marketing Finance data analytics and reporting.
- Work closely with your business domain Product teams and business stakeholders to: 1) design and develop insightful reporting and analytics solutions that drive informed decision-making; 2) apply design led thinking to meet their needs including making data discoverable and accessible for analytical needs.
- Maintain up-to-date documentation on data mart architecture data models ETL processes and data governance policies.
Required qualifications capabilities and skills
- 5 years of experience in data management data engineering data lineage data dictionaries and making data discoverable.
- Bachelors degree in Computer Science Information System or related discipline.
- Good Knowledge of data architecture data warehousing and data integration with a focus on the retail banking or financial services industry.
- Expertise in designing and implementing scalable and efficient data mart architectures including star schema snowflake schema and other data modeling techniques.
- Experience with Python Databricks Snowflake or other Cloud Data Warehouse Data Engineering Data Modeling ERWIN.
- Ability to deliver complex data projects in a fast-paced dynamic environment.
- ThoughtSpot Tableau Alteryx or Essbase experience.
Required Experience:
Senior IC
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