Legal & General America

Business Intelligence Senior Analyst - E06

FREDERICK, MDPosted 30+ days ago

Job summary

  • Job post source

    This job is directly from Legal & General America

  • Job overview

    The Business Intelligence Senior Analyst at Legal & General America leads enterprise data and reporting efforts to enable data-driven decision making and support business goals such as sales growth and profitability.

  • Responsibilities and impact

    The role involves collaborating with stakeholders to resolve issues, enforcing data governance, developing reports and visuals, performing data quality assessments, translating customer needs into BI solutions, maintaining KPIs, supporting business functions with insights, and mentoring peers.

  • Compensation and benefits

    The position offers a salary range of $88,300 to $121,375 annually, with potential bonuses including an 8% annual incentive, sign-on bonus, long-term incentives, 15 vacation days, 10 sick days, 9 paid holidays, health, life, and dental insurance, 401K with company match, pension, and wellbeing initiatives.

  • Experience and skills

    Candidates should have a Bachelor's degree or equivalent experience, 4+ years in BI with modern tools, advanced skills in SQL, data cataloging, Python programming, BI tools like Tableau or Power BI, cloud computing experience, and strong analytical and communication skills; life insurance knowledge preferred.

  • Career development

    The company supports professional development, mentoring, and career progression opportunities, encouraging employees to develop leadership and growth-focused skills.

  • Work environment and culture

    Legal & General America promotes a positive workplace culture balancing work and life, values diversity and inclusion, supports wellbeing initiatives, and encourages community involvement and volunteering.

  • Company information

    Legal & General America is a market leader in term life insurance focused on innovation and technology to help American families secure financial futures.

  • Job location and travel

    This is a hybrid role requiring three days per week in the office.

  • Unique job features

    The role includes opportunities to work with modern BI tools, data governance, cloud platforms, and to contribute directly to business strategy and performance improvement.

Company overview

Legal & General America is a leading provider of life insurance and retirement solutions in the United States. They generate revenue primarily through the sale of term life insurance policies, annuities, and other financial products aimed at securing financial futures for individuals and families. The company is a subsidiary of Legal & General Group, a prominent UK-based multinational financial services company with a history dating back to 1836. Legal & General America is known for its strong financial stability, customer-centric approach, and commitment to innovation in the insurance industry.

How to land this job

  • Position your resume to highlight your expertise in Business Intelligence tools such as Tableau or Power BI, SQL proficiency, and Python programming, emphasizing your ability to translate data into actionable business insights for both technical and non-technical audiences.

  • Focus on showcasing experience with data governance, data quality management, and collaboration with stakeholders to improve business processes, as these align closely with the role's core responsibilities.

  • Apply through multiple channels including Legal & General America's corporate careers site and LinkedIn to maximize your exposure and increase chances of being noticed by recruiters.

  • Connect on LinkedIn with professionals in Legal & General America's Business Intelligence or Data Analytics teams; use ice breakers like commenting on recent company innovations in data-driven decision making or asking about their experience with BI tools and data governance practices.

  • Optimize your resume for ATS by incorporating keywords from the job description such as 'data governance,' 'metadata management,' 'SQL,' 'Python,' 'Tableau,' 'Power BI,' 'data quality,' and 'cloud computing' to ensure your resume passes automated screening.

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