Analytics & Solutions Consultant (HYBRID)

Northwestern Mutual•Milwaukee, WI

1d•$118,960 - $178,440•Hybrid

About The Position

This is a Hybrid role with the expectation to be in the Milwaukee office 3 days a week. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives.

Requirements

Bachelor's Degree
Experience designing and developing solutions using Microsoft Power Platform technologies, including Power Apps, Power Automate, Power BI, Dataverse, and related services.
At least 4 years of professional experience in data acquisition, cleansing, feature engineering, debugging and software documentation, using modern languages and practices
Experience using continuous integration and deployment concepts
At least 3+ 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 suchas Redshift or Snowflake; and digital analytics tools such as Adobe Analytics and Heap)
Proficiency navigating various types of database models and DBMS’s to create data sets for analytics and model training and development
Experience developing solutions using agile methods
Experience working in data lake environments
Experience guiding the work of junior developers
Experience with Testing or data accuracy/quality designs
Advanced programming skills
Strong Python and cloud compute skills
Strong SQL skills and background in ETL
Deep understanding of distributed data systems and applications.
Proficiency with data lake design and implementation considerations such as columnar storage formats (Parquet) and partitioning
Deep understanding of analytics and data science applications
Deep understanding of machine learning systems
Development of requirement driven data models such dimensional and relational.
Deep 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.
Understanding and awareness of regulations around the use of PII data.
See the big picture and able to incorporate business understanding into design and approach to achieve current value and prepare for future benefit.
Ability to provide thought leadership throughout the local scrum team
Ability to explain technical solutions to technical teams and non-technical teams
Exceptional analytical, conceptual, and problem-solving skills.
Excellent written and verbal communication skills
Self-motivated and able to work with minimal direction

Nice To Haves

Experience with Agile methodologies
Experience in DevOps environment
Experience with user adhoc tools: power bi, business objects, Tableau
Consulting experience

Responsibilities

Lead day-to-day work to 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
Lead day-to-day development of 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
Lead code reviews and provide feedback to the team
Mentor junior engineers
Develop the data flow so that data can be shared across the company with one source of truth being the goal.