Founded in 1869 and based in Milwaukee, Northwestern Mutual operates in financial services and insurance. Its offerings include life, disability, and long-term care insurance, financial planning, and investment strategies delivered through a network of financial advisors. The company also emphasizes technology and innovation in its financial services work. Its profile highlights employee development and a focus on flexible, supportive work; job seekers can explore its current opportunities to learn about available roles and their details.
Analytics Solutions Consultant
Builds cloud data products and data flows for Northwestern Mutual, leading analytics engineering practices and solutions. Includes code reviews and mentoring junior engineers.
Tavsif
- Lead the acquisition, analysis, integration, and structuring of data, with clear definitions and sources.
- Work with data consumers to identify useful datasets.
- Guide the development of data products using continuous integration and deployment practices.
- Use sound engineering practices to design, build, deploy, and support data analytics products.
- Contribute to agile story writing, estimation, and product feature demonstrations.
- Review code and share constructive feedback with the team.
- Coach junior engineers.
- Build data flows that support company-wide sharing and a single source of truth.
Talablar
- Bachelor's degree.
- Experience designing and building solutions with Microsoft Power Platform tools, including Power Apps, Power Automate, Power BI, Dataverse, and related services.
- At least four years of professional experience in data acquisition, cleansing, feature engineering, debugging, and software documentation using modern languages and practices.
- Experience with continuous integration and deployment concepts.
- At least three years of experience with AWS data science and analytics cloud technologies, data warehouses, or digital analytics tools.
- Ability to work across database models and database management systems.
- Experience building solutions with agile methods.
- Experience working in data lake environments.
- Experience guiding junior developers.
- Experience with testing or data accuracy and quality design.
- Advanced programming ability.
- Strong Python and cloud computing skills.
- Strong SQL skills and ETL experience.
- In-depth knowledge of distributed data systems and applications.
- Proficiency in data lake design and implementation, including Parquet and partitioning.
- In-depth understanding of analytics, data science applications, and machine learning systems.
- Experience developing requirements-driven dimensional and relational data models.
- Understanding of regulations governing personally identifiable information (PII).
- Ability to apply business context to technical design and approach.
- Ability to provide technical leadership to a local scrum team.
- Ability to explain technical solutions to both technical and nontechnical audiences.
- Strong analytical, conceptual, and problem-solving abilities.
- Excellent written and verbal communication skills.
- Self-directed and able to work with minimal supervision.
- Preferred: Experience with Agile methods, DevOps environments, Power BI, Business Objects, Tableau, and consulting.
Imtiyozlar
- Equal opportunity employer.
- Opportunities for career growth.
- Compensation and benefits may depend on location and other factors.