Data Analytics Manager

Horizon Hobby•Champaign, IL

18h•$70,000 - $90,000•Onsite

About The Position

At Horizon Hobby, we inspire dreams and help build memories! Our company is the leader in the global Radio Control industry, celebrating 40 years in 2025! We offer tremendous opportunities for growth and development and a full array of benefits including discounts on our products! We are currently hiring for a Data Analytics Manager! This is a full-time, on-site position at our Champaign, IL location. Working hours are Monday-Friday 8am-5pm. Typical pay for this position is $70,000 - $90,000 annually. The final offer for this position will be based on the unique experience and qualifications of the candidate selected. This position may also be eligible for a bonus not included in the base pay range. The ideal Data Analytics Manager will come with extensive experience in analyzing complex data sets, interpreting trends, and providing actionable insights to drive business decisions. Proficient in data visualization tools, statistical analysis, and data modeling techniques. Skilled in identifying patterns and correlations within data to support strategic planning and improve operational efficiency. Strong communication and presentation skills to effectively communicate findings to stakeholders.

Requirements

5+ years of professional experience in data analysis, business intelligence, or a related field.
Proven track record of working with large, complex datasets and deriving actionable insights.
Strong experience in SQL and data visualization tools (Power BI preferred).
Hands-on experience with data analysis tools such as Python, R, or SAS.
Strong problem-solving skills with the ability to independently analyze and troubleshoot data-related issues.
Bachelor's degree in computer science, Statistics, Mathematics, Economics, Data Science, or a related field.

Nice To Haves

Experience working in a customer analytics function within a consumer facing brand or direct-to-consumer business is preferred
Familiarity with statistical modeling, predictive analytics, and machine learning techniques is a plus.
Experience in data warehousing concepts and working with ETL (Extract, Transform, Load) processes.
Relevant certifications in data analysis, business intelligence, or data science (e.g., Certified Analytics Professional (CAP), Microsoft Certified: Data Analyst Associate, or similar) would be an advantage

Responsibilities

Manage non-regulatory data reporting standards and processes across the Company.
Analyze complex datasets to identify trends, patterns, and insights that drive business decisions and performance improvements.
Develop, maintain, and optimize advanced Power BI dashboards and visualizations to facilitate data-driven decision-making.
Define customer analytics strategies / reporting that allow business leadership to gauge the health and trajectory of the customer file.
Collaborate with cross-functional teams to gather business requirements and translate them into actionable data analysis strategies.
Design and implement data models and statistical analyses to support business objectives and strategies.
Utilize SQL, Python, R, or other data analysis tools to query large datasets and derive meaningful insights.
Conduct ad hoc data analysis to answer business questions and provide actionable recommendations to stakeholders.
Ensure data accuracy and integrity by conducting data validation, data cleaning, and quality control processes.
Work closely with business stakeholders to understand their goals and provide data-driven insights and solutions.
Present complex analytical findings and recommendations to non-technical stakeholders, tailoring the message to the audience.
Stay up-to-date with the latest industry trends, tools, and techniques in data analysis and analytics.
Automate repetitive data tasks, streamline workflows, and improve efficiency through coding and scripting solutions.
Provide guidance on data governance, security, and compliance standards in analytics initiatives.