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Role Summary

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HIGHLIGHTS

Entry-level actuarial data technician role at a P&C insurer in Richardson, TX. Provide data extraction, validation, reporting, and support for actuarial analyses and rate filings. Use SQL, VBA, R or Python and Power BI to build datasets and management reports in a hybrid work model.

JOB DESCRIPTION SUMMARY

  • Extract, aggregate, and validate data to support actuarial projects and rate filings
  • Build and maintain Power BI reports and weekly management reporting
  • Use SQL, VBA, R, or Python for data extraction and automation
  • Support system testing, reconciliation across actuarial and accounting sources
  • Hybrid role based in Richardson, TX; early-career (1+ years) position

DOMAIN EXPERTISE

  • 1+ years in a quantitative or analytical data role
  • Experience with Power BI or similar reporting tools
  • Experience using SQL, VBA, R, or Python for data extraction
  • Exposure to industry data sources or actuarial reporting environments

KEY REQUIREMENTS

  • Bachelor's degree in a quantitative field
  • 1+ years of related quantitative or data experience
  • Proficient with SQL, VBA, R, or Python for data extraction
  • Experience with Power BI or similar reporting/visualization tools
  • Eligible to work in the U.S. without sponsorship

TECH STACK

  • Power_BI
  • Excel
  • PowerPoint
  • Access
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Role Summary

Loading...

HIGHLIGHTS

Entry-level actuarial data technician role at a P&C insurer in Richardson, TX. Provide data extraction, validation, reporting, and support for actuarial analyses and rate filings. Use SQL, VBA, R or Python and Power BI to build datasets and management reports in a hybrid work model.

JOB DESCRIPTION SUMMARY

  • Extract, aggregate, and validate data to support actuarial projects and rate filings
  • Build and maintain Power BI reports and weekly management reporting
  • Use SQL, VBA, R, or Python for data extraction and automation
  • Support system testing, reconciliation across actuarial and accounting sources
  • Hybrid role based in Richardson, TX; early-career (1+ years) position

DOMAIN EXPERTISE

  • 1+ years in a quantitative or analytical data role
  • Experience with Power BI or similar reporting tools
  • Experience using SQL, VBA, R, or Python for data extraction
  • Exposure to industry data sources or actuarial reporting environments

KEY REQUIREMENTS

  • Bachelor's degree in a quantitative field
  • 1+ years of related quantitative or data experience
  • Proficient with SQL, VBA, R, or Python for data extraction
  • Experience with Power BI or similar reporting/visualization tools
  • Eligible to work in the U.S. without sponsorship

TECH STACK

  • Power_BI
  • Excel
  • PowerPoint
  • Access

Job Overview

Salary
Salary not specified
Years of Experience
1+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

An entry-level actuarial data professional with P&C exposure and 1+ years' data experience, strong SQL and Power BI skills, and comfort using R or Python to automate and validate actuarial datasets.

Benefits

Hybrid WorkHealth InsuranceDental InsuranceVision InsuranceLife InsuranceShort/Long Term Disability401(k) PlanHigh 401(k) MatchPaid Parental LeaveGenerous Vacation
Fresh Role
Premium Window
0d
Posted Today

Strategy: Maximize Application Quality

Applications submitted within 72 hours are 2x more likely to land an interview.

"Recruiters are actively watching. Take time to tailor your keywords."

Job Overview

Salary
Salary not specified
Years of Experience
1+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

An entry-level actuarial data professional with P&C exposure and 1+ years' data experience, strong SQL and Power BI skills, and comfort using R or Python to automate and validate actuarial datasets.

Benefits

Hybrid WorkHealth InsuranceDental InsuranceVision InsuranceLife InsuranceShort/Long Term Disability401(k) PlanHigh 401(k) MatchPaid Parental LeaveGenerous Vacation
Fresh Role
Premium Window
0d
Posted Today

Strategy: Maximize Application Quality

Applications submitted within 72 hours are 2x more likely to land an interview.

"Recruiters are actively watching. Take time to tailor your keywords."

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