Intern working on data analysis for V8/V12 engine development at BMW Group. Involved in data interpretation and tool development for efficient data processing.
About the role
- Senior Data Analyst in Enterprise Strategy & Growth Initiatives developing data pipelines for predictive analytics and working with cross-functional teams. Ensuring data quality and collaborating to deliver actionable insights.
Responsibilities
- Design, build and maintain robust & scalable data pipelines to feed descriptive analytics and predictive analytics use cases.
- Construct meaningful data assets sourced from structured, semi structured, and unstructured data.
- Ensure data quality, accuracy and integrity of the data assets created.
- Automate the data pipelines end to end.
- Participate in data modeling and schema design.
- Work closely with business stakeholders and data scientists to understand the business process and data needs to translate them into an effective data solution.
- Collaborate with Stakeholders, Analysts, and Data Scientists to understand the data requirements & deliver optimal solutions (Training, Testing, and Live Scoring).
- Collaborate with cross-functional teams to identify the right data sources for the use cases.
- Perform data discovery and analysis on various data sources.
- Find and tell the compelling narrative of the data that aligns to the intended audience.
- Create and maintain Data Dictionary for the data pipelines.
- Participate in code reviews and documentation efforts to maintain high-quality code and data documentation.
Requirements
- Bachelor’s degree in STEM related field or equivalent
- At least 5 years of experience in Data/Feature/ML Engineering or similar role
- Strong understanding of engineering principles, best practices, and software development life cycle
- Proficiency in SQL, Python, PySpark and bash scripts
- Knowledge of Databricks
- Experience with the design and development of ETL/ELT process
- Experience working in a Data warehouse
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills to work across multiple groups within the organization
- Nice to Haves: Experience in the insurance industry, Experience working with Data Science, Experience working with/creating point-in-time data assets, Experience with Databricks Workflows, Experience with AWS Tools and Services
Benefits
- Annual, sales, or other incentive compensation
- Contemporary, supportive, flexible, and inclusive benefits and resources
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