Analytics & Solutions Consultant

Northwestern Mutual

. Lead day-to-day work to acquire, analyze, combine, synthesize, and structure data with clear definitions and sources .

Posted 10/13/2026full-timeMilwaukee • Wisconsin • United StatesMid-LevelSenior💰 $118,960 - $178,440 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data acquisition, cleansing, and analytics product development using Microsoft Power Platform technologies and AWS cloud services. Proficient in agile methodologies, mentoring junior engineers, and applying engineering best practices to ensure data quality and effective communication across teams.

Highest-signal resume keywords

Microsoft Power PlatformAWS Data Science and AnalyticsPython ProgrammingSQL and ETLAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AcquisitionFeature EngineeringData CleansingData Lake DesignContinuous IntegrationData WarehousingMachine Learning SystemsDimensional Data ModelsRelational Data ModelsData Quality Design

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication SkillsMentoringSelf-Motivation

Tools & Technologies

Power AppsPower AutomatePower BIDataverseTableauBusiness ObjectsDevOpsAgile ToolsData Lake EnvironmentsScrum

Certifications & Qualifications

Bachelor's Degree

Industry Keywords

Data AnalyticsData ScienceDistributed Data SystemsPII Data RegulationsDigital Analytics Tools

Tech Stack

Tools & technologies

AWSCloudETLPythonSQLTableau

About the role

Key responsibilities & impact

Lead day-to-day work to acquire, analyze, combine, synthesize, and structure data with clear definitions and sources
Consult with data consumers to identify meaningful datasets
Lead development of data products using continuous deployment and integration practices
Apply engineering best practices to analyze, design, develop, deploy, and support data analytics products
Participate in agile story authoring, sizing, and product-feature demos
Lead code reviews and provide feedback to the team
Mentor junior engineers
Develop data flows for company-wide sharing with one source of truth as the goal

Requirements

What you’ll need

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+ years of experience with AWS data science and analytics cloud technologies, data warehouses, and/or digital analytics tools
Proficiency navigating various database models and DBMSs
Experience developing solutions using agile methods
Experience working in data lake environments
Experience guiding junior developers
Experience with testing or data accuracy/quality designs
Advanced programming skills
Strong Python and cloud compute skills
Strong SQL skills and ETL background
Deep understanding of distributed data systems and applications
Proficiency with data lake design and implementation, including Parquet and partitioning
Deep understanding of analytics, data science applications, and machine learning systems
Experience developing requirement-driven dimensional and relational data models
Understanding of PII data regulations
Ability to incorporate business understanding into design and approach
Ability to provide thought leadership to the local scrum team
Ability to explain technical solutions to technical 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
Preferred: Experience with Agile methodologies, DevOps environments, Power BI, Business Objects, Tableau, and consulting

Benefits

Comp & perks

Equal opportunity employer
Career growth opportunities
Compensation and benefits may vary based on location and other factors