Lead Decision Science Analyst; testing and experimentation

Job Title

Lead Decision Science Analyst

Oak Brook, IL (Hybrid)

We are a global leader in access solutions and connected technology, best known for our smart garage and gate products used in homes and businesses around the world. Our core values center on innovation, collaboration, and a customer-first mindset, driving rapid growth and transformation across the business.

We are looking for a Lead Decision Science Analyst to translate data into strategic insights that directly influence product, marketing, and business decisions. This role focuses on statistical rigor, impact analysis, causal inference, and deep exploratory analytics to answer complex business questions, partnering closely with cross-functional leaders across Product, Engineering, Marketing, and Finance to design experiments, evaluate impact, uncover growth opportunities, and provide recommendations that drive measurable outcomes.

Success requires strong business acumen, statistical rigor, and exceptional communication skills.

• Building Business Relationships:
  Partner with business leaders to understand their strategy, key initiatives, and KPIs, taking shared ownership of reaching their goals.
• Statistical & Impact Analysis:
  Apply rigorous statistical methods to quantify the business impact of initiatives, isolate true drivers of behavior, and distinguish meaningful signal from noise.
• Exploratory & Diagnostic Analysis:
  Conduct deep exploratory and diagnostic analyses to identify levers for growth and understand behavioral drivers.
• Experimentation:
  Design, analyze, and interpret A/B tests and other causal inference approaches, ensuring test validity and clear readouts.
• KPI Development:
  Develop, measure, and monitor product or customer KPIs in collaboration with product managers and finance partners.
• Trend & Segmentation Analysis:
  Identify leading indicators, behavioral trends, and segmentation opportunities to guide strategy.
• Stakeholder Communication:
  Translate technical results into clear recommendations for senior stakeholders through verbal/written insights, visualizations, and data-driven recommendations, including communicating uncertainty, assumptions, and tradeoffs to non-technical audiences.
• Data Analysis:
  Use SQL and Python to extract, manipulate, integrate, and analyze large datasets, and develop deep understanding of relevant data across platforms.
• Framework Development:
  Translate complex business requirements into analytical frameworks, and ensure data accuracy and integrity across all analytics and reporting.
• Mentorship:
  Provide guidance to associate and senior analysts on analytics best practices, experimental design, and statistical rigor.
• Collaboration and Confidentiality:
  Contribute to team efforts, protect company confidentiality, and comply with health and safety guidelines.

• Education:
  
  Bachelor's degree in Business Analytics, Statistics, Mathematics, Econometrics, Engineering, or a related field with significant analytical coursework.
• Experience:
  
  5+ years in an analytics role, preferably in product, marketing, or growth analytics; 2+ years building dashboards/reports in Power BI, Tableau, or similar tools; 2+ years applying experimentation and causal inference methods (A/B tests, quasi-experiments) in product or marketing contexts.
• Skills:
  
  Strong applied statistics background, with demonstrated ability to measure and communicate the quantified business impact of initiatives; exceptional SQL skills with a strong track record on complex datasets; ability to deal with ambiguity and make quality decisions in a fast-paced environment; strong understanding of business processes and strategic planning; ability to lead projects independently and cross-functionally, with strong problem-solving and communication skills.

• Education:
  
  MBA or Master's degree in a related field.
• Experience:
  
  Azure (or other cloud) and Databricks; data warehouse/data modeling concepts; calculated metrics and data modeling within Power BI;
  IoT, SaaS, or intelligent consumer products/services; customer-facing digital experiences (mobile or similar platforms);
  Salesforce, SAP, or CDP platforms (e.g., Tealium); project management tools (e.g., Jira); building web-based data visualizations; creating temporary semantic data layers supporting self-service analytics within Azure Cloud architecture.
• Knowledge:
  Strong understanding of financial concepts and analytics; experience working within a software/technology organization.

• Competitive Salary:
  Base salary commensurate with experience, plus performance-based incentives.
• Health and Wellness:
  Comprehensive medical, dental, and vision plans, flexible spending accounts, and wellness programs.
• Work-Life Balance:
  Flexible work arrangements, generous paid time off, and paid parental leave.
• Professional Development:
  Opportunities for skill-building, leadership development, tuition reimbursement, and mentorship programs.
• Additional Perks:
  Access to…