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Data Analyst 3

Primerica
Primerica Home Office, United States, United Statesfull_timeVerifiedPosted 9 May 2025
💰 $120,000/yr($110,000/yr$120,000/yr)

About the role

Join Our Team

In 2025, USA Today recognized Primerica as a Top Workplace USA for the fifth year in a row, and Newsweek named Primerica one of America’s Greatest Workplaces for Diversity for the second consecutive year. In 2024, the Atlanta Journal-Constitution named Primerica as a Top Workplace for the eleventh consecutive year, and Forbes recognized Primerica as one of America’s Best Employers for Women for the fifth year in a row. In addition, for the tenth time Primerica has been voted a Best Employer by Gwinnett Magazine. Primerica is a great place to work! Join our team to experience what it’s like to work at “one of the best places to work in the metro Atlanta”.

About this Position

The Data Analyst will be responsible for learning the business process and data related to transactions and key performance indicators, the development of compiling appropriate data to perform analysis and effective reports, visuals and dashboards. Identify and analyze data to determine  trends, make meaningful observations and draw conclusions. Solve complex problems, research requests and derive solutions. Lead meetings to gather requirements and present findings, and drive resolution.  The Data Analyst will act as a resource for colleagues with less experiences.  Interface with multiple teams and departments across the organization and third parties.  

This is a hybrid position.

The estimated salary range for this position is 110K - 120K
(salary commensurate with experience)

Responsibilities & Qualifications

Essential Job Duties and Responsibilities

Data Requests  -  Lead assigned  data related initiatives: including requirements gathering meetings, analysis of requirements and present findings in a clear and concise manner. 

  • Write advance queries (pulling from multiple tables, calculations, using sub queries, different systems, etc.) using SQL, MS Access, MS Excel, R, Python or other tools.
  • Research issues across multiple platforms to determine the root cause and identify solutions to overcome the issue.
  • Establish relationships and partner with others to deliver as needed.

Report Generation, Analysis & Data Modelling  -  Develop effective analytical reports, charts, presentations, dashboards and timelines.  Reporting could be used across the company, third-parties, and with all levels of management. 

  • Analyzing data to identify trends, business landscape, predictive analytics, and make meaningful and clear observations.
  • Develop complex Power Bi Visuals and dashboards for both ad hoc reporting and ongoing use  by management and other departments.
  • Apply modeling software to create predictive analytics in support of department objectives.

Data Validation  -  Analyze and identify discrepancies within data sets/data lakes and identify solutions.

  • Ensure data qualify, accuracy and timely processing.
  • Maintain review and/or analyze data files, tables, and reports for inconsistencies.
  • Perform detailed analysis on results and effectively summarize findings.

Data Presentation  -  Present data and provide recommendations to department leadership for their use in making operational decisions, identifying process improvements, and developing policy development to support change initiatives.

  • Design, develop, and maintain statistical reports as needed on a daily, weekly, monthly, and ad hoc basis for all levels of management.
  • Formulate, develop and implement changes to improve process efficiencies, including using automation tools.

New Development Opportunities  -  Assist in the design, structure, data needs to build out data lakes and other data tools.

  • Utilize existing and new data in ways to better meet Home Office, the field and clients needs more effectively.
  • Assist in building POCs.  This would include providing the logic and/or working with IT to build necessary APIs.
  • Assist in the design, structure, data needs to build out data lakes and other data tools
  • Mentor and guide other teammates by answering questions, offering guidance and direction, and training less experienced analysts. 

  • Each team member is expected to be aware of risk within their functional area. This includes observing all policies, procedures, laws, regulations and risk limits specific to their role. Additionally, they should raise and report known or suspected violations to

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Company

Primerica

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