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

Data Analytics Engineer

At Northwestern Mutual, we believe relationships are built on trust. That our lives and our work matter. These beliefs launched our company over 160 years ago. Today, they're just a few of the reasons why people choose to build careers at Northwestern Mutual.

We're strong and growing. In a company with such a long and storied history, this may be the most exciting and important time to be a part of Northwestern Mutual. We're strong, innovative and growing.

We invest in our people. We provide opportunities for employees to grow themselves, their career and in turn, our business.

We care. We make a positive difference in our communities. Nationally, thousands have benefitted from our support of research and programs to fight childhood cancer. Each year, our Foundation, employees and financial representatives donate time, talent and financial support to causes they're passionate about.

Who We Are:

Data Science and Analytics plays a key role in the Core Data and Analytics (CDA) organization. We use data to provide key insights, business intelligence and data science products that advance NM's strategic priorities.

Role and Responsibilities:

As Data Analytics Engineer, you will join the Data Science & Analytics team. DSA/Core Data Purchase Journey teams support the improved client purchasing experience. Workstreams include Purchase Journey, Compliance, Client Advocacy, Marketing, Planning Excellence, Managed Investments, Customer Experience, and more.

Our successful candidate will work with the team to build out data frameworks for building models and analytics solutions for our customers. You will advance the work by helping to turn those insights into impactful outcomes. Through team exposure and interaction with business clients, you will be able to gain experience on the domain knowledge. You will work alongside peers to develop best practices, standards, and efficiencies.

Responsibilities include but are not limited to:

• Acquire, analyze, combine, synthesize, and structure data with clear definitions and sources for analytical consumption
• Collaborate with data consumers to identify significant datasets for analytical consumption.
• Develop data products using continuous deployment and integration practices
• Apply engineering standard methodologies 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

Qualifications:

• At least 1 year of professional experience in data acquisition, cleansing, feature engineering, debugging and software documentation, using languages such as SQL, Scala, Python.
• Experience using continuous integration and deployment concepts
• 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 navigating various types of database models and DBMS's to build data sets for analytics and model training and development.
• Experience with Testing or data accuracy/quality designs

Preferred Skills and Abilities:

• Experience with Agile methodologies
• DevOps environment
• Experience with user ad hoc tools: Power BI, Business Objects, Tableau

Grow your career with an outstanding company that puts our client's interests at the center of all we do. Get started now!

#LI-Post

This job is not covered by the existing Collective Bargaining Agreement.

Required Certifications:

Grow your career with a best-in-class company that puts our client's interests at the center of all we do. Get started now!

We 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.