Data Analyst

Description

• 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

We are seeking a highly skilled and collaborative Data Analyst who is passionate about transforming data into meaningful insights and bridging the gap between business stakeholders and data engineering efforts. In this role, you will leverage strong analytical expertise and advanced SQL skills to translate non‑technical requirements into accurate, actionable reporting and dashboards. You will work in close daily collaboration with a Sr.

Data Engineer, sharing responsibility for data quality, validation, support, and delivery. While the Engineer will provide mentorship, this role also requires independence, strong technical judgment, and the ability to review and contribute to data engineering work when needed.

You will…

• 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.

While we expect a lot from our employees at FNIC, we believe in giving just as much in return. Here’s what you can expect when you join our team…

• 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.

You have to have…

• 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.