Lockton
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Data Analyst
role at
Lockton .
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Responsibilities
Design and implement scalable analytical frameworks, including statistical, financial, and predictive models, to support strategic decision-making and client profitability assessments.
Conduct exploratory and statistical analyses to uncover trends, risks, and opportunities—driving improvements in safety, claims outcomes, and overall client performance.
Collaborate with cross-functional teams and stakeholders to automate reporting workflows, integrate client-owned data, and support innovation across business units.
Ensure data quality, consistency, and integration across platforms such as SharePoint and Power BI, enabling accurate and timely reporting.
Translate complex, multi-source data into actionable insights, tailored to client-specific goals and industry benchmarks.
Customize analytic solutions and reporting templates to meet unique client needs, enabling rapid deployment and scalability across mid-market and enterprise clients.
Serve as a technical consultant and project lead, guiding the design, execution, and delivery of automated reporting systems and client-facing analytics tools.
Contribute to enterprise-wide modeling initiatives, fostering innovation and engagement within the analytics community through repeatable, high-impact solutions.
Qualifications
Bachelor's degree or equivalent work experience. Major in Statistics, Mathematics, Data Science, Economics or Finance preferred
Prior years’ experience in data analysis/modeling/warehousing - insurance industry experience preferred
Experience with data visualization (Power BI experience a plus)
Prior coding (SQL, Python, R) experience is preferred
Working knowledge of Microsoft Office products (Excel - advanced, Word and PowerPoint)
Understands data sources, processes, formulas, and output
Effective organizational, time-management and multi-tasking skills
Excellent written and verbal communication skills with the ability to effectively present information to all levels of Associates and Clients
Intrinsically motivated with the drive to continue learning and developing technical skills
Ability to work in local office 2-3 days per week or as needed for businesses
Legally able to work in the United States
Seniority level
Entry level
Employment type
Full-time
Job function
Information Technology
Industries
Insurance
#J-18808-Ljbffr
Data Analyst
role at
Lockton .
Get AI-powered advice on this job and more exclusive features.
Responsibilities
Design and implement scalable analytical frameworks, including statistical, financial, and predictive models, to support strategic decision-making and client profitability assessments.
Conduct exploratory and statistical analyses to uncover trends, risks, and opportunities—driving improvements in safety, claims outcomes, and overall client performance.
Collaborate with cross-functional teams and stakeholders to automate reporting workflows, integrate client-owned data, and support innovation across business units.
Ensure data quality, consistency, and integration across platforms such as SharePoint and Power BI, enabling accurate and timely reporting.
Translate complex, multi-source data into actionable insights, tailored to client-specific goals and industry benchmarks.
Customize analytic solutions and reporting templates to meet unique client needs, enabling rapid deployment and scalability across mid-market and enterprise clients.
Serve as a technical consultant and project lead, guiding the design, execution, and delivery of automated reporting systems and client-facing analytics tools.
Contribute to enterprise-wide modeling initiatives, fostering innovation and engagement within the analytics community through repeatable, high-impact solutions.
Qualifications
Bachelor's degree or equivalent work experience. Major in Statistics, Mathematics, Data Science, Economics or Finance preferred
Prior years’ experience in data analysis/modeling/warehousing - insurance industry experience preferred
Experience with data visualization (Power BI experience a plus)
Prior coding (SQL, Python, R) experience is preferred
Working knowledge of Microsoft Office products (Excel - advanced, Word and PowerPoint)
Understands data sources, processes, formulas, and output
Effective organizational, time-management and multi-tasking skills
Excellent written and verbal communication skills with the ability to effectively present information to all levels of Associates and Clients
Intrinsically motivated with the drive to continue learning and developing technical skills
Ability to work in local office 2-3 days per week or as needed for businesses
Legally able to work in the United States
Seniority level
Entry level
Employment type
Full-time
Job function
Information Technology
Industries
Insurance
#J-18808-Ljbffr