Job Description

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

Analytics Engineer

Who We Are:

Data Science and Analytics plays a key role in the Core Data and Analytics (CDA) organization. We leverage data to provide key insights, business intelligence and data science products that advance NM's strategic priorities. This group is growing and projects are both fast-paced and exciting.

Role and Responsibilities:

As an Analytics Engineer, you will be a part of the Data Science & Analytics team working with the Client Advocacy workstream, committed to using our data and will work to ensure accurate operational reporting so the team can make faster decisions, execute more optimally, and operate more efficiently and help them make informed goals and decisions.

In this role, you will be partner with analytics engineers to help make data more accessible to our internal partners. This role will impact the heart of the business, helping provide critical data to make business decisions.

Role and Responsibilities:

* Apply engineering standard methodologies in order to analyze, design, develop, deploy, and support data and software solutions

* Develop software using continuous deployment and integration practices

* Advising data teams to get a big-picture idea of the data needs.

* Conducting preliminary testing of the data environment before data is extracted.

* Extracting company data and transferring it into the new environment.

* Testing the new data once all the data has been transferred.

* Contribute 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.

* Providing maintenance support and solutioning to any issues that may arise.

Qualifications and Education Requirements:

* 2+ years of experience in data engineering or related field

* Experience with agile methodologies/DevOps environment

* Familiar with database structures, theories, principles, and practices

* Familiar with data integration patterns and tooling including ELT/ETL, Replication, Event Streaming, Virtualization to support batch and real-time data needs.

* Strong SQL skills required.

* ETL tool experience required.

* Experience with different engineering eco systems (Relational, Big Data, Flat File and Amazon Web Services (AWS)).

* Proficient programming skills, including experience with Python and using Jupyter Notebook.

* Ability to explain technical solutions to technical teams

* Self-motivated and able to work with minimal direction

* Excellent teamwork, coordination, influencing, and communication skills

* Understanding and awareness of regulations around the use of PII data

* B.S. degree in related field

LI-POST

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

Required Certifications:

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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.