Senior Data Analyst, Investment Professional

As a team member in Finance at Nationwide a Fortune 100 company with nearly $70 billion in annual sales the opportunities are endless! Let Nationwide help create your career journey! At Nationwide on your side goes beyond just words. Our customers are at the center of everything we do and were looking for associates who are passionate about delivering extraordinary care.

The hired associate must reside within 35 miles of the following location:

Columbus: One Nationwide Plaza Columbus OH 43215

Work schedule: 3 days in office 2 days remote.

This role does not qualify for employer sponsored work authorization. Nationwide does not participate in the STEM OPT extension program.

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Job Description Summary

Do you thrive on making sense of complex data and transforming it into insight that drives business impact Are you energized by working at the crossroads of analytics technology and investment strategy If solving challenging data problems in a highly collaborative mission-driven environment excites you this is the job for you.

As a Consultant Investment Professional Data Analyst you will play a critical role in shaping how Nationwide Investments leverages data to deliver smarter faster and more consistent decisions. Youll build the analytic structures and reusable data products that power front-office dashboards AI-driven workflows and quantitative tools. Youll apply your technical expertise and collaborate with your team to design high-impact solutions that matter in a multi-billion-dollar investment portfolio environment.

Job Description

• Design curated analytic data structures and shared business logic including sectors ratings strategy tags benchmarks and other core dimensions in partnership with Data Governance and Data Management.

• Provide controlled reusable data access through SQL APIs and related interfaces for quantitative analysts portfolio manager enterprise portfolio managers reporting teams enabling a consistent source of truth for investment analytics.

• Build and maintain the analytics and semantic layer that supports front-office dashboards quantitative tools and research workflows.

• Monitor and improve the quality consistency and documentation of analytical data and reports that sit on top of enterprise golden sources.

• Support data needs for AI and agentic workflows in a governed auditable way including input/output structuring and data persistence.

• Collaborate with Technology and platform teams to align the analytics layer with enterprise architecture including Snowflake Databricks and Aladdin.

• Support continuous improvement of data tooling and reporting processes across the investment analytics function.

• Build analytics-ready datasets and reusable data products for reporting research quantitative models and evolving AI-enabled workflows rather than one-off extracts or bespoke data pulls.

• Apply automation and AI-enabled techniques where appropriate to improve data ingestion tagging reconciliation anomaly detection metadata capture and documentation with human review and appropriate controls.

• Help improve coding testing version-control and documentation practices for the production of data pipelines analytical datasets and related workflow tools.

• Design data assets and interfaces that are explainable documented and reusable across front office teams while reducing manual spreadsheet-based processing and redundant logic.

• Support the evolution of the investment analytics architecture by ensuring data structures mappings and lineage are compatible with changing enterprise platforms workflows and future-state needs.

• Contribute to a collaborative team environment that emphasizes experimentation shared tooling documentation and continuous improvement across data and analytics processes.

May perform other responsibilities as assigned.

Reporting Relationships: Reports to leader of Investment Analytics. This is an individual contributor role.

Typical Skills and Experiences:

Education: Bachelors degree in computer science information systems data analytics mathematics engineering or a related field preferred. Advanced degree or relevant certifications preferred.

Experience: Typically eight or more years experience building and supporting analytical data business intelligence or investment data environments. Experience working with enterprise data warehouses analytical reporting and reusable data models in a complex business setting is preferred. Experience in financial services asset management insurance or capital markets is desirable. Experience supporting AI-enabled analytics analytics engineering workflows or governed automation in an enterprise environment is preferred.

Knowledge Abilities and Skills:

Proven advanced SQL and data-modeling capability with experience building complex queries and robust analytical data models. Hands-on experience with Snowflake and comfort working in modern analytics environments such as Databricks.
Practical Python skills for data engineering and analytics (pandas PySpark or similar). Demonstrated experience designing and maintaining analytics or semantic layers for BI and quantitative use cases. Experience publishing reusable datasets to BI tools such as Power BI/Tableau including dataset design and performance tuning. Working familiarity with investment data structures such as positions transactions benchmarks and reference data. Understanding of data governance lineage quality monitoring and version control practices. Ability to work cross-functionally and communicate technical concepts clearly. Familiarity with automation or AI-enabled data workflow techniques with human oversight. Knowledge of software engineering practices relevant to analytics environments including Git pull requests and documentation. Ability to balance speed control transparency and maintainability. Curiosity and comfort in tech-evolving team environments.

Staffing exceptions to the above must be approved by the hiring managers leader and HR Business Partner.

Other criteria including leadership skills competencies and experiences may take precedence.

Staffing exceptions to the above must be approved by the hiring managers leader and Human Resource Business Partner.

Values: Regularly and consistently demonstrates Nationwide Values.

Job Conditions:

Overtime Eligibility: Exempt

Working Conditions: Normal office environment.

Values: Regularly and consistently demonstrates Nationwide Values.

ADA: The above statements cover what are generally believed to be the principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.

Benefits

We have an array of benefits to fit your needs including: medical/dental/vision life insurance short and long term disability coveragepaid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date nine paid holidays 8 hours of Lifetime paid time off 8 hours of Unity Day paid time off 401(k) with company match company-paid pension plan business casual attire and more. To learn more about the benefits we offer click here.

Nationwide is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive culture where everyone feels challenged appreciated respected and engaged. Nationwide prohibits discrimination and harassment and affords equal employment opportunities to employees and applicants without regard to any characteristic (or classification) protected by applicable law.

NOTE TO EMPLOYMENT AGENCIES:

We value the partnerships we have built with our preferred vendors. Nationwide does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Nationwide employee or hiring manager in any form without a signed Nationwide Client Services Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means.

Nationwide pays on a geographic-specific salary structure and placement within the actual starting salary range for this position will be determined by a number of factors including the skills education training credentials and experience of the candidate; the scope complexity and location of the role as well as the cost of labor in the market; and other conditions of employment. If a Sales job Sales Incentives based on performance goals are possible in addition to this range. Note on Compensation for Part-Time Roles: Please be aware that the salary ranges listed below reflect full-time compensation. Actual compensation may be prorated based on the number of hours worked relative to a full-time schedule.

The national salary range for Investment Professional - Data Analyst : $127000.00-$213000.00

The expected starting salary range for Investment Professional - Data Analyst : $127000.00-$213000.00