At Northwestern Mutual, we are strong, innovative and growing. We invest in our people. We care and make a positive difference.
Primary Duties & Responsibilities:

• Partner with Business Stakeholders to understand business problems and determine solutions
• Collaborate with data consumers to identify significant datasets for analytical consumption.
• Acquire, analyze, combine, synthesize, and structure data with clear definitions and sources for analytical consumption
• Ability to explain technical solutions to technical teams and non-technical teams
• Ability to work together with different roles (Business Partners, Data Scientists, Analysts) to deliver creative solutions
• Apply engineering best practices in order to analyze, design, develop, deploy and support data analytics products.
• Proficient in Software Best Practices and Data Quality Standards.
• Develop software using continuous Deployment and integration practices
• Participate in an Agile implementation and maintenance of source control and release procedures
• Participate in Code Reviews and feedback to the team
• Provide to a collaborative work environment in which all team members are respected regardless of their individual differences and are motivated to improve both their individual and team contributions
• Mentor junior engineers.
• Self-motivated and able to work with minimal direction
• Outstanding analytical, conceptual, and problem-solving skills.

Knowledge, Skills, Abilities:

• Bachelor's Degree
• 5+ years of highly developed programming skills
• Strong Python skills including working with libraries such as pandas, matplotlib, numpy, scikit-learn.
• Knowledge of additional programming languages like Scala, Java, R
• Strong experience with Cloud Services including Storage, Cloud Compute and Cloud Databases (for e.g. S3, EC2, EMR, RDS, Redshift, Snowflake or Azure/Google Cloud technologies)
• Strong SQL skills, background in ETL tools (such as Informatica, SSIS) and Stored Procedures and SSAS.
• Experience with Data Science and Machine Learning Pipelines working with tools like Spark, PySpark, JupyterLab, Sagemaker, Domino Data Lab, DataRobot, etc.
• Proficiency with data lake design and implementation considerations including columnar storage formats (Parquet) and partitioning
• Proficiency navigating various types of database models and DBMS's to build data sets for analytics and model training and development.
• Good understanding of distributed data systems and applications.
• Development of requirement driven data models such dimensional and relational.
• Understanding and awareness of regulations around the use of PII data.
• Experience with Agile methodologies
• Ability to see the big picture and able to incorporate business understanding into design and approach to achieve current value and prepare for future benefit.
• Outstanding analytical, conceptual, and problem-solving skills.
• Excellent written and verbal communication skills
• Self-motivated and ability to work with minimal direction

Additional preferred job requirements:

• Experience with Dev Ops skills, as well as Infrastructure As Code tools such as Terraform, Ansible, Packer, Docker, Kubernetes and GitLab.
• Experience developing visual data products using Tableau, PowerBI, and/or other visual analytics tools
• Experience with Digital Analytics tools such as Adobe Analytics and Heap.
• Experience with Legacy Mainframe languages (PL/1 and JCL)
• Prior Consulting experience
• Experience with administration of Tableau, Power BI

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W e are an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or status as a protected veteran, or any other characteristic protected by law.
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