Senior Data Analyst
The Guardian Life Insurance Company of America
Holmdel, NJ · HybridFull-time$150–165K/yrSeen todaySeen in employer's feed today
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
The Senior Data Analyst designs and maintains analytical datasets and pipelines supporting life insurance underwriting, risk assessment, and mortality analysis. The role integrates enterprise data, develops insights, prepares inputs for statistical and machine learning models, and creates dashboards and reports. It collaborates with underwriting, actuarial, IT, data engineering, data scientists, and other stakeholders, while contributing to analytics standards and mentoring junior analysts.
Skills & qualifications
Skills
Qualifications
Full job description
Experience Required
3 years of experience in the job offered or in a Senior Data Analyst-related position
Minimum Education Required
Master's degree in Business Analytics and Project Management, Statistics, Mathematics, Computer Science, or related field
Compensation
$150,000.00 - $165,000.00 / Yearly
Hours Per Week
40
Number Of Positions
1
Shift
First Shift (Day)
Job Description
Employer: The Guardian Life Insurance Company of America
Job Title: Senior Data Analyst
Job Location: Holmdel, NJ
Job Type: Full Time
Rate of Pay: $150,000 to $165,000/year
Duties: Design, develop, and maintain analytical datasets and data pipelines to support life insurance underwriting, risk assessment, and mortality analysis. Integrate data from multiple enterprise systems into standardized, modelready datasets, ensuring data consistency, historical continuity, and alignment with business and regulatory requirements. Analyze large and complex data sets to develop data-driven insights and recommendations, and present findings to various stakeholders. Use SQL and Python in platforms such as Databricks to perform largescale data transformations, feature engineering, and validation across multiyear datasets. Apply version control and collaborative development practices using GitHub to manage SQL scripts, analytical code, and supporting documentation. Conduct data quality assessments, including completeness, accuracy, trend, and consistency analysis. Identify data gaps, anomalies, and limitations, and document findings to support appropriate analytical and business use. Collaborate with data scientists and subject matter experts to translate business and underwriting requirements into analytical specifications and engineered features. Prepare and validate data inputs used for statistical analysis and machine learning models, ensuring consistency between analytical and production environments. Develop dashboards and analytical reports using Tableau, Power BI, or similar tools to monitor underwriting performance, data coverage, automation metrics, and key risk indicators. Enable stakeholders to evaluate trends, assess business performance, and support operational decision making. Analyze underwriting and claims data to identify patterns, drivers, and relationships affecting risk outcomes and business performance. Translate analytical results into clear, data-driven insights and recommendations for business and technical stakeholders. Establish and support data analytics standards and best practices, including documentation, data governance, validation procedures, and analytical methodologies. Collaborate with crossfunctional teams, including underwriting, actuarial, IT, and data engineering, to ensure analytics solutions align with organizational objectives and compliance requirements. Mentor junior data analysts and contribute to the development of data analytics best practices and standards. Perform exploratory, descriptive, and inferential data analysis using statistical and machine learning techniques. Stay updated on the latest trends and developments in data analytics and insurance industry.
May telecommute per company's policies (hybrid).
Requirements: Employer will accept a Master's degree in Business Analytics and Project Management, Statistics, Mathematics, Computer Science, or related field and 3 years of experience in the job offered or in a Senior Data Analyst-related position.
CONTACT: To apply, email resume to [email protected] with reference to Senior Data Analyst and job code 21145.203 in subject line.
As part of Guardian’s Purpose – to inspire well-being – we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at www.guardianlife.com/careers/corporate/benefits. Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits.
Place of Work
Hybrid
Requisition ID
21145.203
Job Type
Full Time
Application Instructions
To apply, email resume to [email protected] with reference to Senior Data Analyst and job code 21145.203 in subject line.
How this job compares
Set against the 5,416 open Data Analyst jobs on Olive Jobs, counted November 5, 2026.
- Pay
- This posting$150–165K/yr
- New Jersey median$87–126K/yr91 salary ranges
- US median$90–132K/yr3,326 salary ranges
This range's midpoint, $158K, is 40% above the New Jersey median midpoint ($113K) — in the top quarter of Data Analyst salary ranges in New Jersey.
- Openings
- Olive Jobs lists 113 open Data Analyst jobs in New Jersey and 5,416 across the US. 7% of them nationwide are listed as remote or flexible.
- Hiring the most in New Jersey
- Deloitte6 open
- Bank of America4 open
- LINQGLOBALGROUP LLC4 open
- Experience
- This posting asks for at least 3 years of experience; Data Analyst postings that state a minimum ask for 4 years at the median (4,056 postings).
- Education
- This posting asks for a master's degree; 132 of the 5,416 open Data Analyst jobs (2%) ask for a master's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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