Specialist, Data Analytics at Lincoln Financial Group
Radnor, Pennsylvania, USA -
Full Time


Start Date

Immediate

Expiry Date

20 Nov, 25

Salary

96300.0

Posted On

20 Aug, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Financial Services

Description

Date: Aug 19, 2025
Primary Location: Radnor, PA, US
Company: Lincoln Financial
Alternate Locations: Radnor, PA (Pennsylvania); Charlotte, NC (North Carolina); Fort Wayne, IN (Indiana); Greensboro, NC (North Carolina); Omaha, NE (Nebraska)

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Responsibilities

THE ROLE AT A GLANCE

We are excited to bring on a Specialist, Data Analytics to our Workplace Solutions Data Analytics Management team.
Background Details
Workplace Solutions Data Analytics Management is a growing team that is focused on the sourcing, development, maintenance, and delivery of data and reporting/analytics solutions to drive our employer and employee benefit and retirement teams.
In the Specialist, Data Analytics role you will be a member of an experienced team providing reporting, data, and analytics solutions. You will drive automation and efficiency as you develop reporting solutions that drive business decisions and inform leadership on insights. You will act as a resource to internal/external stakeholders and identify complex data patterns and trends.

WHAT YOU’LL BE DOING

  • Develops analytical solutions using data, analytics, and reporting to deliver insights to business stakeholders.
  • Creates dashboards & scorecards utilizing existing and newly developed metrics to monitor business performance and tactical initiatives
  • Collaborates with business partners and the broader analytics organization to lead value-driven data insights aligned with strategic priorities.
  • Writes SQL to structure and query data for analysis and reporting
  • Ensures data integrity within dashboards and reports and develops procedures for increasing the quality and accuracy of information from multiple data sources.
  • Maintains an understanding of how the data contained in various systems are utilized and marries various aspects of the data into a usable format to support decision making.
  • Designs, builds, and tests semantic layers, dashboards, reports, and metrics to meet business needs by transforming data into meaningful information.
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