Data Analyst

Description

Are you looking for?

• Flexibility that fits your life, including work-from-home options
• Paid time off driven by results and well-being, not a fixed number of days
• A fun, collaborative environment
• Support for continued learning and career growth
• A culture based on trust, accountability, and bringing your whole self to work

• Partner with business stakeholders to gather, clarify, and document reporting and dashboard requirements.
• Design, build, and maintain insightful reports and dashboards using Power
  
  BI.
• Perform ad-hoc analysis to support reporting needs, answer data questions, and assist data engineering initiatives.
• Write and maintain advanced SQL queries in Big Query to analyze and validate complex datasets.
• Collaborate closely with the Senior Data Engineer to validate data models, pipelines, and engineering logic.
• Review, test, and, when necessary, contribute to data engineering code using Python, dbt, and Airflow (Cloud Composer).
• Participate in monitoring, UAT, troubleshooting, and support for data pipelines, reports, and dashboards.
• Develop and maintain both technical and user-facing documentation.
• Train colleagues on effective use of dashboards, reporting tools, and advanced reporting capabilities in Microsoft Excel.
• Work within an agile environment alongside product owners and data teammates to deliver iterative improvements.
• Provide proactive, customer-focused support for internally developed data products and solutions.

• Competitive Pay:
  We offer market-competitive compensation packages that reflect your experience, expertise, and the value you bring to our clients and teams.
• Benefits You Can Rely On:
  Health, dental, and vision insurance, HSA with employer contributions, 401(k) match, employer-paid disability coverage, and life insurance.
• Freestyle PTO & Work-Life Balance:
  Our trust-based and freestyle time-off approach removes PTO banks and offers flexible telecommuting options.
• Dress for Your Day:
  Whether you’re client-facing or behind the scenes, we encourage you to dress in a way that helps you feel comfortable and confident.
• Invested in Your Development:
  We support continuous learning through tuition reimbursement, training opportunities, and career growth paths across FNIC.
• A Workplace That Cares:
  Access mental health support through our EAP, virtual fitness classes, in-office gym access (Omaha), and a culture that prioritizes connection, fun, and collaboration.

• Bachelor’s degree in Data Analytics, Data Science, Statistics, Computer Science, or a related field
• 3+ years of experience building reports and dashboards, with a strong preference for candidates with 5+ years of experience.
• Expert-level SQL skills, with proven experience working with large and complex datasets.
• Strong experience with Power
  
  BI, including dashboard design and data modeling.
• Demonstrated ability to work directly with non-technical stakeholders and translate business needs into analytical solutions.
• Working knowledge of Python and familiarity with modern data tooling such as dbt, Airflow (Cloud Composer), and Azure Dev Ops.
• Ability to review, validate, and contribute to data engineering code.
• Strong communication, documentation, and collaboration skills.
• Comfortable working in agile, iterative development environments.
• Curious, motivated, independent, and customer-oriented mindset.
• Legal authorization to work in the United States without the need for employer sponsorship, now or in the future.

• Experience or exposure to the Insurance industry.
• Familiarity with enterprise analytics, reporting governance, or data quality best practices.