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Data Management Analyst

Date: Jun 6, 2019

Location: Milwaukee, WI, 53202

At Northwestern Mutual, we believe relationships are built on trust. That our lives and our work matter. These beliefs launched our company nearly 160 years ago. Today, they're just a few of the reasons why people choose to build careers at Northwestern Mutual.


We're strong and growing. In a company with such a long and storied history, this may be the most exciting and important time to be a part of Northwestern Mutual. We're strong, innovative and growing.

We invest in our people.  We provide opportunities for employees to grow themselves, their career and in turn, our business.

We care. We make a positive difference in our communities. Nationally, thousands have benefitted from our support of research and programs to fight childhood cancer. Each year, our Foundation, employees and financial representatives donate time, talent and financial support to causes they're passionate about.



What's the Role?

This is for a position as a Data Management Analyst/Modeler on the Business Information Integration Platform (BIIP) product team located within the data engineering organization.  This team is responsible for acquiring and preparing high quality enterprise information for our business partners to understand what is happening (Operational Applications), what has happened (Business Intelligence & Reporting), and what will happen (Advanced Analytics) within their business areas.  This role within the team will be responsible for capturing and modeling data requirements, data definitions, business rules, data quality requirements, and logical/physical data models to ensure data solutions are meeting our customers data quality needs.



  • Use a variety of information gathering techniques (e.g., interviews, facilitation, diagrams) to gather complex business data requirements from Business teams.  Collaborate with the team to research, evaluate and select the appropriate data sources
  • Serve as the business modeler / data analyst for data projects and initiatives, creating conceptual and logical business models used to generate physical data models and database schema.
  • Document data model metadata - data models, data definitions, data relationships/dependencies, data values, data lineage, data restrictions, data retention policies, data usage policies;
  • Ensure project data model compliance with Enterprise Requirements - definitions, regulatory, privacy, quality,  and governance during design and implementation of database development, modeling and analysis projects;
  • Partner with DBAs to transform logical data models into physical database designs while optimizing the performance and maintainability of the physical database
  • Ensure that the database designs fulfill the requirements, including data volume, frequency needs, and long-term data growth.
  • Become a subject matter expert in understanding not only where the data is and how to get it, but also what the information means and how to use it.  This includes understand business procedures, and develop a detailed knowledge of underlying data repositories and data products, including current and future uses of data, and creating and refining data models from requirements, business operations, and current systems
  • Leverage SQL and other technical skills to assist with tuning and delivering SQL queries for data management and data extraction.


Bring Your Best!  What this role needs:


  • Minimum 8 years of experience in applying data management principles and industry standards to design, build and maintain complex data model assets in Transactional/Operational, ODS, Data Warehouse and Data Marts applications
  • Experience with metadata management discipline and practices
  • Advanced skills in ER design, dimensional design, canonical design, object design, UML
  • Experience with data modelling tools (e.g. ErWin, Er/Studio)
  • Experience in Data analysis and mapping, creation and usage of metadata
  • Strong SQL knowledge including writing and review complex SQL statements and performance tuning to handle scale, agility, and changes
  • Understanding and experience with the following data technologies areas preferred:
    • ETL data solutions including Informatica PowerCenter or Power Exchange ETL Tools
    • Experience and knowledge around scripting, deployment, and automation technologies
    • Experience working with multiple relational databases including DB2
    • Database latency, availability, and workload utilization monitoring tools
  • Responsible for staying current with enterprise standards, industry standards and technologies, methodologies and best practices

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.


Req ID: 25165
Position Type: Regular Full Time
Education Experience: Bachelor's Required
Employment Experience: 3-5 years
FLSA Status: Exempt
Posting Date: 05/27/2019