• Gather and document reporting and analysis requirements from business stakeholders. • Design and develop analytics solutions tailored to business needs, leveraging appropriate technologies aligned with the best internal practices and system architecture. • Perform testing, validation, and quality assurance on both self-developed and team-developed analytics solutions. • Train non-analytics users on how to effectively use analytics tools and report. • Troubleshoot and resolve issues related to report failures and data inconsistencies. • Translate solutions across technologies (e.g., SQL to Power Query) and source data from alternative platforms (e.g., Qiclink, Benefit Focus. • Identify and implement enhancements to existing deliverables, including automation opportunities and process improvements. • Serve as a backup or understudy for overflow tasks and back-fill coverage across designated departments. • Collaborate with IT teams and business stakeholders to identify and address issues, risks, and concerns related to data integrity. • Communicate findings, observations, and recommendations to business stakeholders using clear, business-friendly language. • Demonstrate deep expertise in analytics technologies (e.g., Python, Power Query, DAX, SQL, R, Fabric, CaseTrakker Reporting) with the ability to teach and mentor other analysts in their effective use. (2 or more) • Conduct quarterly analytics business reviews with department leaders, presenting insights and performance metrics for your assigned specialty area

Title: Managing Director, Data & Analytics Location: - TX - Home - St. Louis, MO - Hybrid Full time Job Description: Insperity provides the most comprehensive suite of scalable HR solutions available in the marketplace with an optimal blend of premium HR service and technology. With more than 90 locations throughout the U.S., Insperity is currently making a difference for thousands of businesses and communities nationwide. Behind our success is the unshakeable belief in the value of our people. We value diversity, inclusivity and a sense of belonging. We celebrate work and life events, and we partner with our clients and communities to make great things happen. We’ve earned recognition time and again as a top place to work—named among the best by respected organizations like Glassdoor and U.S. News & World Report. We’re also proud to be recognized for one of the country’s Top 50 Midsize Early Talent Programs through RippleMatch’s Campus Forward Awards. There’s never been a better time to be part of Insperity, and our best work is still ahead. Learn more at Insperity.com. Why Insperity? Flexibility: Over 80% of Insperity’s jobs have flexibility. We want your time to have balance, whether it’s spent with coworkers, clients, family or your community. Career Growth: Insperity provides many ways to grow with the company. We offer continuous learning programs, mentorship opportunities and ongoing training. Well-Being: Our total rewards package includes generous paid time off, top-tier medical, dental and vision benefits, health & wellness support, paid volunteer hours and much more. We take care of our people so that you can do your best work. We are seeking a Managing Director, Data & Analytics to join our team Summary This position is responsible for developing and leading an Enterprise Analytics team consisting of report writers, data scientists, and analysts. Working cross-functionally to create an enterprise data governance strategy, this role ensures the effective collection, analysis, and interpretation of data to enable informed decision-making across the organization. This role drives the strategic vision, execution, and leadership of the company’s data and analytics initiatives across multiple platforms to improve business results. Responsibilities: - Under minimal supervision and heavy decision-making: - Builds data and analytics practices that elevate data-driven decision making across the enterprise; functioning as the internal subject matter expert, consultant, and trusted advisor. - Leads and develops a team of data professionals, including data scientists and data analysts. Fosters a culture of collaboration, innovation, and continuous learning across these roles in all parts of the organization to streamline reporting effectiveness, accuracy and relevancy. - Establishes and institutes data governance policies to ensure data quality, integrity, consistency, and security. Ensures analytics activities across the enterprise adhere to best practice security and compliance standards. - Oversees the development and delivery of advanced analytics, predictive modeling, and business intelligence solutions that provide actionable insights to stakeholders. - Collaborates with departments to identify key performance indicators (KPIs) and build dashboards for monitoring performance across key business initiatives and priorities. - In partnership with ITS, evaluates and implements data management tools, analytics platforms, and software to optimize data processing and analysis. Stays up to date with the latest industry trends and technologies. - Collaborates closely with executive leadership, IT, marketing, finance, operations, and other departments to understand data needs and deliver solutions that drive business value. Communicates findings and insights effectively to non-technical stakeholders. - Manages multiple data and analytics projects, ensuring timely delivery, adherence to enterprise best practices and disciplines, and alignment with business priorities. - Develops metrics to measure the effectiveness of data initiatives and report on their impact on business outcomes. Qualifications: - Bachelor’s Degree or advanced degree in Business, Statistics, Psychology, or a related field is required. - 15+ years of demonstrated experience and achievement in one or more of the following quantitative disciplines: data science, statistics, applied mathematics, economics, or advanced analytics is required. - Experience working in business services is preferred; marketing, sales, operational analytics experience is preferred. - Experience using machine learning techniques such as logistic regression and random forest regression/classification modeling is preferred. - Experience with advanced statistical modeling techniques such as latent class analysis, multidimensional scaling, and principal components analysis is preferred. - Experience with unstructured data is preferred. - Experience with enterprise CRM and related analytical tools is preferred, especially Salesforce and Einstein. - Technical, hands-on experience executing “big data” research programs using mainstream data-science tools such as Python, SQL, R, Hive, Spark, Hadoop and Scala is preferred. - Broad knowledge of applied statistics: assessing population and sample distributions and applying the appropriate methodology based on the data, descriptive, inferential, and predictive analysis, and non-parametric methods. - Excellent executive presence and communications skills required. Ability to bridge the gap between data science and business strategy/management. - Strong project management skills and attention to detail, complimented by an ability to understand and articulate the “big picture” to internal and external stakeholders. - Ability to identify opportunities to improve business outcomes by applying practical research and analytical tools; capable of consulting with business teams to recommend, design, construct, and apply findings from these initiatives. - Collaborative approach to working with others and persuasive communication skills at all management levels is critical. This job specification should not be construed to imply that these requirements are the exclusive standards of the position. Incumbent will follow any other instructions, and perform any other related duties, as may be required by the supervisor. At Insperity, we celebrate the diversity of our employees and our leadership. Insperity is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.

• Build, maintain, and update reporting dashboards • Ensure data accuracy and consistency across reports • Standardize reporting frameworks • Troubleshoot data discrepancies • Analyze marketing performance across channels • Identify trends, opportunities, and issues • Translate data into actionable insights • Support decision-making with clear reporting • Work within GA4, ad platforms, and call tracking tools • Ensure proper tracking and attribution • Validate data integrity across sources • Support tagging and tracking implementation • Maintain standardized reporting processes • Support internal and client-facing reporting needs • Collaborate with activation teams • Ensure timely delivery of reports

• Build, maintain, and update reporting dashboards • Ensure data accuracy and consistency across reports • Standardize reporting frameworks • Troubleshoot data discrepancies • Analyze marketing performance across channels • Identify trends, opportunities, and issues • Translate data into actionable insights • Support decision-making with clear reporting • Work within GA4, ad platforms, and call tracking tools • Ensure proper tracking and attribution • Validate data integrity across sources • Support tagging and tracking implementation • Maintain standardized reporting processes • Support internal and client-facing reporting needs • Collaborate with activation teams • Ensure timely delivery of reports