Senior Data Analyst - Remote Optional

Delta DefenseWest Bend, WI
76d$75,000 - $100,000Hybrid

About The Position

Work for Delta Defense, the private company that provides Marketing, Operations and Customer Service for the U.S. Concealed Carry Association. The USCCA safeguards life, freedom, and finances for responsible American gun owners. Learn more about the USCCA at https://www.usconcealedcarry.com/. As a Senior Data Analyst, you'll transform complex data into insights that help protect lives, improve member services, and drive responsible gun ownership awareness. Few analyst roles offer this level of tangible, socially relevant impact. With access to platforms like Snowflake, Sigma, Tableau, and Python, you'll work in a forward-thinking analytics environment. You'll also have opportunities to participate in Delta Defense's growing data science and AI initiatives, including experimentation, predictive modeling, and automation, to expand your technical skillset. In this role, you'll not only deliver high-quality analyses and dashboards but also mentor junior analysts, guide best practices, and shape how the business uses data to make smarter decisions. Your work will directly influence strategic initiatives and organizational priorities. You'll collaborate with marketing, member services, sales, and executive leadership to define KPIs, develop reporting solutions, and uncover actionable insights. Your analyses will be used across the company, giving you high visibility and the opportunity to influence decisions at the highest level.

Requirements

  • Bachelor's degree in Business, Economics, Statistics, Computer Science, or related field or equivalent experience.
  • Minimum of 4 years of professional experience in data analysis, business intelligence, or related roles in a corporate environment.
  • Minimum of 2 years of experience writing advanced SQL and working with relational databases.
  • Demonstrated experience in one or more visualization tools (e.g., Tableau, Power BI).
  • Familiarity with Python for data analysis (Pandas, NumPy, Matplotlib) preferred.
  • Can clearly articulate and demonstrate an understanding of data governance, data quality assurance, and metric consistency.
  • Experience designing and interpreting A/B tests, regressions, and other statistical methods.
  • Strong interpersonal and communication skills; capable of articulating complex findings clearly.
  • Demonstrated project management skills, including the ability to lead data initiatives, balance multiple priorities, and coordinate cross-functional collaboration.

Nice To Haves

  • Demonstrated ability in Analytical Thinking and Problem Solving.
  • Business Acumen and Domain Expertise.
  • Data Visualization and Storytelling.
  • SQL and Data Wrangling.
  • Stakeholder Collaboration and Communication.
  • Mentorship and Team Development.
  • Continuous Improvement and Innovation.
  • Data Quality and Stewardship.
  • Project Ownership and Execution.

Responsibilities

  • Design, build, and maintain datasets, dashboards, and reports to monitor key business metrics.
  • Write complex SQL queries to retrieve, wrangle, and transform data from multiple internal and external sources.
  • Leverage tools such as Tableau, Power BI, and Python to visualize data and tell compelling data stories.
  • Conduct in-depth exploratory and statistical analysis to support root cause discovery, performance trends, and process improvement.
  • Partner with cross-functional teams to define reporting needs, clarify KPIs, and build meaningful data products.
  • Translate business questions into analytical problems and actionable insights.
  • Develop subject matter expertise in a primary business domain while understanding adjacent areas for broader context.
  • Independently manage analysis projects from discovery through delivery, including stakeholder alignment, prioritization, timeline management, and documentation.
  • Balance multiple priorities across teams and adapt to changing business needs.
  • Support and mentor junior analysts by guiding best practices in SQL, visualization, and analytical reasoning.
  • Lead collaborative code reviews, knowledge sharing sessions, and project retrospectives.
  • Help standardize report development processes and drive data literacy across departments.
  • Ensure data accuracy, completeness, and governance through documentation and validation practices.
  • Participate in experimental design, A/B testing, regression modeling, and hypothesis testing to evaluate business interventions.
  • Contribute to automation and data flow improvements to reduce manual effort and improve delivery speed.
  • Present findings and recommendations clearly to both technical and non-technical audiences.
  • Create and deliver visual narratives that support executive decision-making.
  • Actively contribute to meetings, project discussions, and enterprise-level analytics efforts.

Benefits

  • Eligible for company bonus plan.
  • Fun, fast-paced, and rewarding workplace.
  • Nationally recognized in 2023 and 2024 as a Newsweek Top 100 America's Most Loved Workplace.
  • Top Workplaces USA award in 2022.
  • Named on Inc. 5000 'Fastest Growing Private Companies' list 14 years in a row.
  • Milwaukee Journal Sentinel 'Top Workplace' award 7 years in a row.
  • Milwaukee Business Journal 'Best Place to Work' award 6 years in a row.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Senior

Industry

Professional, Scientific, and Technical Services

Education Level

Bachelor's degree

Number of Employees

251-500 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service