Manager, Business Intelligence & Analytics

Hunter Douglas•New York, NY

36d•$119,000 - $125,000•Hybrid

About The Position

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.

Requirements

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 in a fast-paced, matrixed environment

Responsibilities

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.
Advanced Analytics & Forecasting: Develop and implement forecasting models and apply data science techniques (e.g., 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.
All other duties as assigned