Manager, Business Intelligence & Analytics

Hunter Douglas is the world’s leading manufacturer of window coverings and a major manufacturer of architectural products. We are a brand that you know and trust. With more than 100 years of innovation, we’ve defined our industry with proprietary products that deliver revolutionary style and functionality and can be found in millions of homes and commercial buildings globally.

We are searching for candidates that are driven, intelligent, creative, and entrepreneurial. By offering challenging and accelerated opportunities for growth, powered by a shared hunger for success, we create a space for your career to thrive.

Compensation

and benefit packages to ensure you feel valued. Our dream is to become the fastest growing, most loved, window covering company in the world. What’s yours?

Position Overview We are seeking a strategic and results-driven Manager of BI Analytics to drive our business intelligence and advanced analytics initiatives for Sales. This individual will be responsible for managing a high-impact analytics function that transforms complex data into actionable insights to support key business decisions. The ideal candidate is highly skilled in Power BI/Tableau , has hands-on experience with forecasting techniques , and is comfortable leveraging data science methodologies to address business challenges.

They are intellectually curious, data-savvy, and passionate about enabling decision-making through evidence-based insights.

What You'Ll Do

Deliver Business Insights: Translate complex, large-scale data into clear insights and actionable recommendations that support revenue, profitability, and strategic goals. Dashboard Reporting Development: Design, build, and govern automated dashboards and reporting tools using Power BI, SQL, and Excel to enable effective decision-making. , clustering, predictive modeling, classification) to uncover trends, assess risks, and identify opportunities.

Data Management Integration: Extract, clean, and analyze data using tools such as Google BigQuery and Python; partner with IT and data engineering teams to ensure data quality, model performance, and scalable infrastructure. Cross-Functional Collaboration: Work closely with stakeholders across Finance, Sales, Marketing, and Leadership to define KPIs, benchmark performance, and support strategic planning. Problem Solving Root Cause Analysis: Analyze data to identify operational issues or improvement areas; conduct root cause analysis and risk assessments to inform solutions.

Communication Data Storytelling: Document and communicate data findings clearly, translating technical insights into accessible, non-technical language for business stakeholders. Enablement Governance: Promote data literacy and self-service BI across the organization, ensuring reporting processes are accurate, timely, and aligned with business needs.

Who You Are

Bachelor’s degree in finance, information systems, mathematics, computer science, data science, statistics, economics or related quantitative field 5+ years of experience in business intelligence, data analytics, or data science roles Expert-level proficiency in Power BI, including DAX, Power Query (M), data modeling, and performance tuning Solid knowledge of SQL and experience querying large datasets Strong understanding of forecasting techniques (e.g., ARIMA, exponential smoothing, ML-based models) Experience with Python or R for data analysis and modeling Proven ability to synthesize data into compelling stories and business cases Strong communication and presentation skills, with a collaborative, growth-led and business-partnering mindset Strategic thinker with hands-on approach ability to influence decisions Detail results-oriented, with the ability to manage multiple priorities