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Management Information Analyst

Job in Frederick, Frederick County, Maryland, 21701, USA
Listing for: Legal & General America
Full Time position
Listed on 2025-12-02
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Business Systems/ Tech Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 90800 - 124900 USD Yearly USD 90800.00 124900.00 YEAR
Job Description & How to Apply Below

Join to apply for the Management Information Analyst role at Legal & General America

Overview

At Legal & General America, we aim to make a positive difference in the lives of our customers, partners, colleagues, and the communities in which they live. As a recognized market leader of term life insurance, we’re transforming our business through innovation and technology to provide products and solutions that help American families secure their financial futures. We are a future-focused company, passionate about what we do and how we do it, with a culture that supports work-life balance and career development.

The Management Information Analyst will provide operational performance and insight reporting and analysis. This role works with various business areas to understand processes, workflows, objectives, and information reporting requirements. You will design, build, and publish performance insights through complex data analytics using tools such as Databricks and Power BI. You will lead enterprise data and reporting efforts, delivering daily, weekly, and monthly reports to key stakeholders, ensuring data accuracy and translating data into actionable insights for both technical and non-technical audiences.

You will contribute to corporate goals, including growing sales, reducing expenses, and increasing profitability.

Responsibilities
  • Provide insights that support key business operations functions, including the acquisition value chain, Inforce insurance servicing teams, claims provision, and financial performance.
  • Work closely with stakeholders to resolve issues, perform root cause data analysis, and enable continuous improvement.
  • Develop reports and data visuals from customer requests and proactive inquiries, including time estimates for construction, testing, and presentation.
  • Communicate reporting outcomes and recommendations to stakeholders, describing data assumptions and limitations.
  • Perform complex data quality assessments on data sources and products to ensure referential and historical integrity.
  • Perform functional and gap analysis to support new and existing reports, dashboards, and analytics.
  • Act as a subject matter expert for the Operational Planning leadership team in creating and delivering operational data that fosters growth, cost efficiency, and customer-focused delivery.
  • Collaborate with data governance to ensure data quality, privacy, and security, complying with internal and regulatory policies.
  • Demonstrate willingness to learn emerging skills and programming languages to improve Operational Planning and Forecasting through automation.
  • Work with business planners to assist in model upkeep and data modelling that supports time series, multi linear regression, and Holt-Winters modelling techniques.
Qualifications

Education

Bachelor’s Degree in Computer Science, Economics, Finance, Business Analytics, Management Information Systems, Statistics, Applied Mathematics or equivalent practical experience.

Experience/Knowledge

  • Over 5 years of experience in data analysis roles with a proven track record.
  • Advanced understanding of data cataloging tools, SQL, DAX, and data modeling.
  • Experience in data quality management.
  • Proven ability to optimize business processes in a data-driven manner.
  • Skilled in extracting data from various databases and systems for enterprise-grade reporting.
  • Preferred experience in statistical modelling techniques and forecasting methodologies.
  • General knowledge of life insurance company operations is preferred.

Skills

  • Highly organized and detail-oriented with strong analytical and problem-solving skills.
  • Proficiency in DAX, SQL, and VB; familiarity with Python data engineering is preferred.
  • Experience with databases and writing SQL & DAX queries to access data.
  • Proficiency in Power BI.
  • Preferred experience with cloud computing (Azure, AWS, Databricks).
  • Ability to present insights effectively to different audiences and support data-driven decision making.
  • Excellent verbal and written communication skills.
  • Ability to learn quickly, follow directions, and work independently.
  • Ability to plan and execute all phases of a project, both collaboratively and independently.
  • Willingness to train and mentor other staff members.
What’s in it for you?

The expected hiring compensation range for this position is $90,800 - $124,900 annually. This is a remote opportunity operating on EST. The total compensation package may include additional elements such as a sign-on bonus, long-term incentives, and annual bonuses. This role is eligible to participate in the Legal & General America Annual Incentive Plan. Current target payment is 8% of base salary, adjustable for performance.

Bonuses are prorated based on start date. The role includes 15 vacation days, 10 sick days (accrued bi-weekly), and 9 paid holidays annually. We offer a competitive compensation and benefits package focused on wellbeing, including health, life, and dental insurance; 401(k) with company match up to 6%; and a pension package. We support professional…

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