Analytics Engineer

2 weeks ago

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

At Northwestern Mutual, we're changing the way people think about financial planning with the scale of a Fortune 100 company. We're redefining and disrupting the industry while changing people's financial lives with better experiences and better technology. We believe in building inclusive and diverse workplaces, where every voice is heard. Come help us build for the future

Join us in crafting the data-driven future We're seeking an analytics engineer to drive our AI initiatives to new heights.

Primary Duties & Responsibilities:
  • Partner with our Data Scientists, Analysts, and business partners to deliver amazing AI solutions, including GenAI, via Databricks, AWS Cloud, and microservice architecture.
  • 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.
Qualifications:
  • 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, Python, or R.
  • Experience using continuous integration and deployment concepts via Gitlab CI/CD.
  • Experience navigating various types of database models and DBMS's to create data sets for analytics and model training and development.
  • Understanding of modern data platforms such as Databricks, Snowflake, or AWS Sagemaker.
  • Experience with testing or data accuracy/quality designs.
  • Experience in building and deploying microservices via Kubernetes.
  • Experience in building and deploying AWS serverless apps using Lambda, S3, SQS, Step Functions, etc.
  • Strong SQL skills and background in ETL.
  • Familiar with developing distributed data pipelines using Apache Spark.
  • Understanding of analytics and data science applications.
  • Familiar and aware of regulations around the use of PII data.
  • 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 visualization tools such as PowerBI and Tableau.


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.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

#LI-Hyrbid

Compensation Range:

Pay Range - Start:

$75,180.00

Pay Range - End:

$139,620.00

Northwestern Mutual pays on a geographic-specific salary structure and placement in the salary range for this position will be determined by a number of factors including the skills, education, training, credentials and experience of the candidate; the scope, complexity as well as the cost of labor in the market; and other conditions of employment. At Northwestern Mutual, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. Please note that the salary range listed in the posting is the standard pay structure. Positions in certain locations (such as California) may provide an increase on the standard pay structure based on the location. Please click here for additional information relating to location-based pay structures.

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.

If you work or would be working in California, Colorado, New York City, Washington or outside of a Corporate location, please click here for information pertaining to compensation and benefits.

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