Analyst, Data & Analytics
About The Position
National Life Group is seeking an analytically curious, solutions-oriented analyst for its Research & Insights team. The role combines business intelligence, data analytics, and market research to deliver 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 performance monitoring and evaluation. Working with cross-functional stakeholders, the analyst will turn business needs into analytical solutions that support data-driven decisions. The position also provides opportunities to develop market research capabilities, including research design, qualitative and quantitative methods, data collection, and insight development. The analyst will contribute to a diverse and evolving range of analytical and research initiatives and help address emerging business priorities. Applicants should note that visa sponsorship is not offered.
Requirements
- Bachelor's degree in data science, computer science, business, marketing, statistics, or a related field.
- Proficiency in SQL, including querying, joining, and manipulating 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 ability to manage multiple priorities.
- Intellectual curiosity, initiative, and willingness to develop new technical and research capabilities.
- Review and validate AI-generated content and maintain accountability for accuracy, quality, fairness, and integrity.
- Use AI in accordance with company policies and guiding principles.
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 for business intelligence, research, and reporting.
- Organize, clean, validate, and analyze data from multiple sources to identify trends, patterns, and opportunities related to 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 business decisions.
- Support monitoring and evaluation of business initiatives by developing measurement approaches, tracking outcomes, and identifying improvement opportunities.
- Translate complex data into actionable insights through visualization, reporting, and communication.
- Support market research into 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 insights and business implications.
- Collaborate with 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 adhere to data governance standards.
- Apply critical thinking and problem-solving to ambiguous business questions, identifying appropriate data sources, analytical approaches, and potential solutions.
- Communicate findings and recommendations clearly to technical and nontechnical audiences.
- Use approved AI tools appropriately, stay open to AI-enabled ways of working, validate AI-generated content, and maintain accountability for work quality and integrity.
- Use AI responsibly in accordance with company policies on confidentiality, privacy, security, compliance, retention, and intellectual property.
Benefits
- Benefits begin on the first day and are described as flexible and customizable.
- Medical benefits.
- 401(k) eligibility.
- Paid time off, including vacation and sick time.
- Parental leave.
- Potential eligibility for discretionary annual incentive programs.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
