Director Data Analytics

We are seeking an experienced and results-driven Director of Data Management and Analytics, Sales Operations to lead and manage INDG’s sales data strategy, analytics, and driver-based insights. The Director will be responsible for developing and executing strategies to drive data governance, oversee the integration, management, and analysis of revenue-related data, and support revenue growth through the effective leverage of data and partnership with marketing, finance, and product.

The role requires both a strategic and hands-on approach to managing complex data sets, ensuring data accuracy, and delivering actionable insights to effectively direct the Sales & Service Strategy. The Director of Data Management and Analytics will serve as a strategic partner with business leaders throughout the organization in setting the direction of analytical and technical teams. This individual will play a key role in leading cross-functional projects.

Primary Responsibilities
:

• Lead, manage, and develop a high-performing team of data analysts, data scientists, and data engineers responsible for developing workflow tools, building out standard reporting, and generating analytics to support the build of the Sales Strategy.
• Define and implement the overall data strategy for revenue generation, including forecasting, trend analysis, and identifying key revenue drivers.
• Collaborate with senior leadership and key stakeholders across sales, marketing, finance, and operations to align business priorities and establish analytics goals.
• Oversee the collection, organization, and integration of data from multiple sources.
• Ensure the accuracy, consistency, and integrity of revenue data across the organization, with a focus on well-structured, clean, and reliable datasets.
• Develop and manage data pipelines, dashboards, and reporting processes to ensure timely access to actionable insights.
• Lead the development of revenue forecasting models, segmentation strategies, and predictive analytics to drive strategic decisions across the revenue-generating teams.
• Produce and present regular reports on revenue performance, including key metrics such as customer acquisition cost, lifetime value, churn rates, and sales pipeline health.
• Provide insights into customer behavior, product performance, and pricing strategies to optimize revenue generation and profitability.
• Partner with IT and data engineering teams to ensure the appropriate infrastructure is in place to support revenue data needs.
• Continuously improve data analytics processes and methodologies to enhance the quality, timeliness, and impact of revenue-related insights.

Job Requirements
:

• Ability to drive a high-performing team.
• Exceptional analytical skills with the ability to review and analyze significant amounts of information.
• Strong presentation skills and ability to present findings to senior leaders.
• Excellent project management and communication skills.
• Strong technical expertise regarding data models, data mining, and segmentation techniques.
• Knowledge of statistics and experience using statistical packages for analyzing large datasets (Excel, etc.).
• Strong comfort level gathering requirements, conducting interviews, and facilitating brainstorming or collaboration sessions with customer representatives, as needed.
• Adept at queries, report writing, and presenting findings.
• Skilled in managing multiple projects and ensuring a high level of responsiveness.
• Ability to motivate a team and lead matrixed groups.
• Proficiency in SQL, Python, R, or similar programming languages.
• Experience with data warehousing and cloud platforms (e.g., AWS, Google Cloud).
• Familiarity with business intelligence tools and analytics platforms.

Education and Experience
:

• Bachelor’s degree with courses in business, mathematics, statistics or appropriate combination of education and experience required.
• Minimum 8+ years of experience working with and analyzing large datasets from multiple disparate sources and presenting findings to high-level audiences.
• Strong expertise in data modeling, data visualization tools (e.g., Tableau, Power BI), and advanced analytics techniques (e.g., predictive modeling, forecasting).
• Significant experience analyzing complex reports and managing multiple projects simultaneously.
• Previous experience managing a high-performing team is required.
• In-depth knowledge of CRM systems and data integration from multiple platforms.

Equal Opportunity

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