Analytics Solutions - Associate

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