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- Work directly with various stakeholders, including product and business leaders, to align on common KPI data definitions
- Work directly with architecture, data engineering, visualization development, and other data analysts to implement data assets which support a major Automotive initiative
- Analyze data across the enterprise to answer key questions for business stakeholders
- Investigate and communicate data integrity issues, which may impact business performance.
- Develop and maintain data assets within a cloud-computing environment by analyzing data from internal and external sources, and make newly created datasets available across
- Work directly with product and users to gather data requirements
- Support other team members within an Agile environment to ensure committed deliverables are met
- Required skills and qualifications
- Five or more years of experience as a Data Analyst
- Proven analytics skills, including mining, evaluation, and data visualization
- Expert SQL skills with the ability to build complex high-performing data views
- Three or more years of experience working directly with business stakeholders to gather and compose functional data and/or visualization requirements
- Two or more years of experience working in an Agile environment
- Bachelor's degree in computer science, information systems, statistics, or related analytical areas of study
- Two or more years of data analyst experience within a cloud-computing data environment, such as Snowflake or AWS
- PowerBI dashboard development experience
- Experience with back-end Salesforce data
- Strong Python programming experience
- Proven success in a collaborative, team-oriented environment
Sr Data Analyst - Atlanta, United States - Ampcus
Description
Duration || 6 + Months || Hybrid - Atlanta GA
Enterprise Platforms - Client Analytics, Sr. Data Analyst Contractor (2 positions)
The - Client Analytics team is searching for an experienced Data Analyst. This role will help develop and implement data solutions that will impact all. The ideal candidate will be skilled in all aspects of data analytics, including data discovery, definition alignment, mapping, and data generation.
Objectives & Responsibilities