Analytics & Solutions Engineer

What You'll Do: 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

What You'll Bring to the Role: 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.

Develop the data flow so that data can be shared across the company with one source of truth being the goal.

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

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

This is a Hybrid role with the expectation to be in the Milwaukee office 3 days a week.

Skills You Have:

Analytical Thinking:

Creates business knowledge through data analysis and applies appropriate analytical methods to inform decisions.

Data Analytics : Core advanced capability for turning data into actionable business knowledge.

Engineering Expertise & Practices:

Explores engineering judgment, maintainability, quality, and technical practices.

Adaptive Communication:

Conveys complex information about products, systems, or processes to targeted technical and non-technical audiences.

Compensation Range: Pay Range - Start: $118,960.00

Pay Range - End: $178,440.00

Geographic Specific Pay Structure: Structure 110: $130,880.00 USD - $196,320.00 USD

Structure 115: $136,800.00 USD - $205,200.00 USD

We believe in fairness and transparency. It’s why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you’re living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click

here

to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! 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. Skills

Data Literacy (NM), Business Acumen (NM), Data Analytics (NM), Data Lineage (NM), Business Application (NM), Data Interpretation (NM), Cross Functional Partnering & Planning (NM), Data ETL (NM), Programming Languages (NM), DevOps (NM), Coaching & Mentoring (NM), Engineering Expertise & Practices (NM), Databases & Data Platforms (NM), Analytical Thinking (NM), Data Integrity (NM), Strategic Thinking (NM), Adaptive Communication (NM), Root Cause Analysis & Decision Quality (NM), Business Influence (NM), Cloud Computing (NM), Consulting (NM) FIND YOUR FUTURE

We’re excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and our commitment to a culture of belonging. Flexible work schedules Concierge service Comprehensive benefits Employee resource groups PandoLogic. Category:General, Location:Milwaukee, WI-53205

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