You are a strategic thinker passionate about driving solutions in Analytics. You have found the right team.

As a Analytics Solutions Associate in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. 

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 PXT 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

•    Overall 6+ years of experience in  Data Management, data Engineering, data lineage, data dictionaries, and making data discoverable
•    Strong knowledge and experience with data Engineering, data lineage, data dictionaries, and making data discoverable
•    Famliarity with  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.
•    Bachelor’s degree in Computer Science, Information System, or related discipline
•    Experience with Python, Databricks, Snowflake, or other Cloud Data Warehouse,  Data Engineering, Data Modeling, ERWIN
•    Proven track record of successfully managing and delivering complex data projects in a fast-paced, dynamic environment.
•    ThoughtSpot, Tableau, Alteryx, or Essbase experience