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At Northwestern Mutual, we are strong, innovative and growing. We invest in our people. We care and make a positive difference.
Primary Duties & Responsibilities:- Acquire, analyze, combine, synthesize, and structure data with clear definitions and sources for analytical consumption
- Consult with data consumers to identify meaningful datasets for analytical consumption.
- Develop data products using continuous deployment and integration practices
- Apply engineering best practices in order to analyze, design, develop, deploy and support data analytics products.
- Participate in agile story authoring, sizing, and demo sessions for product features
- Participate in code reviews and provide feedback to the team
- Bachelor's Degree
- 1-3 years of professional experience
- At least 1 year of professional experience in data acquisition, cleansing, feature engineering, debugging and software documentation, using languages such as SQL, Scala, Python
- At least 1 year experience with specific technical requirements/platforms will vary (i.e. AWS data science and analytics cloud technologies such as S3, EMR, Spark, PySpark, RDS, JupyterLab, Sagemaker, etc., data warehouses such as Redshift or Snowflake; and digital analytics tools such as Adobe Analytics and Heap)
- Experience using continuous integration and deployment concepts
- Experience navigating various types of database models and DBMS's to create data sets for analytics and model training and development.
- Experience with Testing or data accuracy/quality designs
- Proficient programming skills
- Strong Python and cloud compute skills
- Strong SQL skills and background in ETL
- Familiar with distributed data systems and applications.
- Familiar with data lake design and implementation considerations such as columnar storage formats (Parquet) and partitioning
- Understanding of analytics and data science applications
- Understanding of requirement driven data models such dimensional and relational.
- Understanding of the business domain and the meaning of the data in it to accurately identify key and associated data which can be extracted, transformed and loaded for effective consumption downstream.
- Understands data flow so that data can be shared across the company with one source of truth being the goal.
- Build data validation to insure integrity for user consumption
- Familiar and aware of regulations around the use of PII data.
- Familiarity with data lake environments
- Ability to explain their technical solutions to technical teams and non-technical teams
- Excellent written and verbal communication skills
- Exceptional analytical, conceptual, and problem-solving skills.
- Self-motivated and seeking to learn
- Experience with Agile methodologies and DevOps environment
- Experience with user adhoc tools; power bi, business objects, Tableau