Analyst, Data & Analytics

National Life Insurance•Addison, TX

About The Position

National Life Group is seeking an analytically curious, solutions-oriented Business Insights Analyst to join its Research & Insights team. The role combines business intelligence, data analytics, and market research to provide actionable insights that inform business strategy, improve customer experience, support product development, and drive growth. The analyst will develop data solutions, query and analyze data, build dashboards, and support ongoing performance monitoring and evaluation. Working with cross-functional stakeholders, the analyst will translate business needs into analytical solutions that enable data-driven decisions. The position also provides opportunities to develop market research skills, including research design, qualitative and quantitative methods, data collection, and insight development. The role supports a diverse range of analytical and research initiatives as the Research & Insights function evolves. The analyst will develop and maintain SQL queries, data workflows, and analytical datasets; organize, clean, validate, and analyze data from multiple sources; and create dashboards, reports, and other data solutions. The role also supports the design and evaluation of business initiatives, market research, and the communication of findings and recommendations to technical and nontechnical audiences. Applicants are expected to use approved AI tools appropriately, review and validate AI-generated content, and remain accountable for the accuracy, quality, fairness, and integrity of their work. AI use must follow company policies and guiding principles, including those concerning confidentiality, privacy, security, compliance, retention, and intellectual property. National Life does not offer visa sponsorship for this position.

Requirements

  • Bachelor's degree in data science, computer science, business, marketing, statistics, or a related field.
  • Proficiency in SQL, including the ability to query, join, and manipulate data for analysis.
  • Experience with Microsoft Excel and business intelligence or data visualization tools such as Tableau or Power BI.
  • Strong analytical and critical-thinking skills, including the ability to interpret data, identify patterns, and draw meaningful conclusions.
  • Excellent written and verbal communication skills, including the ability to explain analytical findings to nontechnical audiences.
  • Strong organizational skills, attention to detail, and the ability to manage multiple priorities.
  • Intellectual curiosity, initiative, and willingness to develop new technical and research capabilities.
  • Ability to review and validate AI-generated content and take accountability for the accuracy, quality, fairness, and integrity of work products.
  • Ability to use AI responsibly and comply with policies related to confidentiality, data privacy, security, compliance, retention, and intellectual property.

Nice To Haves

  • Three or more years of experience.
  • Exposure to cloud-based data platforms such as Databricks.
  • Familiarity with market research concepts, including survey research, qualitative interviews, sampling, and quantitative analysis.
  • Familiarity with statistical analysis techniques or statistical software.

Responsibilities

  • Develop and maintain SQL queries, data workflows, and analytical datasets to support business intelligence, research, and reporting.
  • Organize, clean, validate, and analyze data from multiple sources to identify trends, patterns, and opportunities involving business performance, customer engagement, sales, and market dynamics.
  • Design, develop, and maintain dashboards, reports, and other data solutions that help stakeholders monitor key performance indicators, evaluate initiatives, and make informed business decisions.
  • Support monitoring and evaluation of business initiatives by developing measurement approaches, tracking outcomes, and identifying opportunities for improvement.
  • Translate complex data into clear, actionable insights through visualization, reporting, and effective communication.
  • Support market research initiatives to better understand consumers, financial professionals, competitors, markets, and emerging business opportunities.
  • Collect, organize, analyze, and interpret qualitative and quantitative research data, including surveys, interviews, industry research, and internal business data.
  • Synthesize primary research, secondary research, and internal data to identify meaningful insights and business implications.
  • Collaborate with stakeholders across marketing, sales, product development, strategy, IT, and other business units to understand business questions, identify data needs, and deliver analytical and research solutions.
  • Partner with technical teams to access data, develop and troubleshoot workflows, and follow data governance standards.
  • Apply critical thinking to ambiguous business questions and help identify appropriate data sources, analytical approaches, and potential solutions.
  • Communicate findings and recommendations clearly to technical and nontechnical audiences.
  • Use approved AI tools appropriately, validate AI-generated content, and follow company AI policies and guiding principles.

Benefits

  • Benefits start on day one and are flexible and customizable to employees' and families' needs.
  • Medical, financial, and other benefits, depending on the position offered.
  • 401(k) eligibility.
  • Paid time off benefits, including vacation and sick time.
  • Parental leave.
  • Potential eligibility for discretionary annual incentive programs.
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