Senior Data Analyst, Enterprise Analytics

Insperity•Kingwood, TX

About The Position

The Senior Data Analyst serves as a strategic analytics partner within Enterprise Analytics, supporting high-priority business initiatives across multiple functional areas through data-driven decision-making, trusted measurement, and actionable insights. The role translates complex business questions into analytical frameworks, measurable outcomes, and executive-ready recommendations, combining business acumen, analytical rigor, and modern data practices. It partners with business leaders, platform owners, Data Engineering, Data Governance, and technology teams to establish trusted metrics, support enterprise data initiatives, and enable scalable analytics. Initially, the role will provide significant support for Marketing Analytics, Customer Data Platform (CDP) initiatives, customer insight development, and related data platform efforts. It is also designed to work flexibly across a broad portfolio of Enterprise Analytics priorities. Within the Enterprise Data Foundation (EDF), the Senior Data Analyst helps develop consistent business definitions, governed metrics, analytical standards, and scalable reporting practices that improve organizational decision-making and business performance. The ideal candidate brings strong analytical and technical capabilities, a consultative mindset, substantial independent judgment, and the ability to turn business objectives into measurable outcomes and actionable recommendations.

Requirements

Bachelor’s degree in Analytics, Business, Information Systems, Marketing, Data Science, Statistics, Computer Science, or a related discipline, or equivalent relevant experience.
Five or more years of experience in analytics, business intelligence, marketing analytics, consulting, data analysis, or related fields.
Experience supporting Marketing, Revenue Operations, Customer Experience, CRM, CDP, marketing automation, or similar business functions.
Experience translating business objectives into analytical requirements, measurement approaches, and actionable recommendations.
Experience working collaboratively across business and technical teams.
Strong business acumen and ability to translate organizational objectives into analytical solutions, measurable outcomes, and data-informed recommendations.
Strategic consulting skills, including assessing business needs, challenging assumptions, identifying opportunities, and guiding stakeholders toward effective solutions.
Advanced analytical and problem-solving skills, including SQL development, statistical analysis, hypothesis testing, root-cause analysis, KPI development, and performance measurement.
Critical thinking skills and ability to evaluate complex issues, synthesize information from multiple sources, and develop actionable recommendations.
Ability to translate complex data into business insights through data storytelling, visualization, and executive-level communication.
Stakeholder management skills, including building trusted partnerships, influencing decisions, and aligning priorities across diverse groups.
Strong understanding of marketing analytics, including customer segmentation, attribution methodologies, campaign measurement, lead lifecycle management, funnel analytics, customer engagement, and marketing operations.
Experience with business intelligence and reporting tools such as Tableau, CRM Analytics, Power BI, or similar visualization platforms.
Knowledge of dashboard design principles, visualization best practices, and user-focused reporting solutions.
Familiarity with cloud data environments such as Snowflake or comparable data warehouses, data modeling, ETL/ELT processes, semantic layers, metadata management, and data lineage concepts.
Knowledge of data governance principles, data quality management, data stewardship, governed metrics, and enterprise reporting standards.
Ability to collaborate across business, marketing, technology, analytics, and data engineering teams to deliver scalable analytical solutions.
Commitment to continuous improvement through process optimization, automation, innovation, and modern analytics practices.

Nice To Haves

Experience with customer data platforms, marketing technology solutions, marketing automation platforms, or customer engagement technologies.
Experience supporting data governance, KPI management, and enterprise reporting practices.
Relevant certifications in analytics, business intelligence, Salesforce, cloud data platforms, marketing technology, or data governance.
Experience with Python, including Pandas and NumPy.
Experience with dbt or similar transformation frameworks.
Experience with AI-assisted analytics tools.
Experience with Salesforce and marketing technology implementations.

Responsibilities

Translate business objectives into analytical frameworks, measures of success, actionable insights, and data requirements.
Facilitate discovery and requirements-gathering sessions to identify underlying business needs.
Help stakeholders clarify objectives, KPIs, business definitions, dependencies, and success criteria, and constructively challenge assumptions.
Lead ambiguous, cross-functional analytical engagements from problem framing through recommendation, aligning stakeholders on scope, decision criteria, tradeoffs, and measurable outcomes.
Build trusted partnerships, synthesize competing perspectives, and guide business and technical stakeholders toward practical, data-informed decisions.
Convert complex analytical findings into clear business recommendations and executive-ready narratives.
Support the organization’s shift from reactive reporting to consultative, decision-focused analytics.
Develop analyses, dashboards, scorecards, and reporting solutions for marketing strategy, campaign effectiveness, funnel performance, attribution, customer engagement, and business growth.
Partner with Marketing, Sales, and Service leaders to keep metrics aligned across functions.
Perform trend analysis, root-cause analysis, segmentation, forecasting, and KPI development; support executive reporting and communicate findings to drive adoption and action.
Identify opportunities to improve data literacy, measurement practices, and decision effectiveness across Marketing.
Work with the Marketing Platform Manager to support implementation, adoption, governance, and measurement of marketing technology solutions, including CDP, Salesforce, CRM Analytics, Tableau, and related technologies.
Define, validate, and document audience logic, business rules, segmentation requirements, activation criteria, and performance measurement methodologies.
Translate business requirements into analytical specifications and measurement frameworks for marketing platform use cases.
Evaluate platform effectiveness using adoption metrics, data-quality indicators, audience performance, and business outcomes.
Bridge Marketing, Analytics, Data Engineering, and Technology teams.
Promote trusted reporting through data governance, quality, documentation, transparency, and consistency.
Participate in developing and maintaining common metric definitions, business glossaries, data lineage documentation, ownership models, and enterprise standards.
Help define and validate shared definitions for customers, leads, accounts, campaigns, audiences, and other enterprise marketing concepts.
Identify data-quality concerns and work with technical teams to prioritize remediation.
Support enterprise governance initiatives related to EDF, data readiness, and analytical standards.
Develop and maintain advanced SQL queries, analytical datasets, and curated reporting assets.
Collaborate with Data Engineering on semantic layers, curated datasets, data models, and analytical requirements.
Support testing, validation, and quality assurance for analytical solutions.
Work with modern cloud data environments and enterprise-scale datasets to help ensure analytical accuracy and scalability.
Use AI-assisted analytics, automation, and modern development practices where appropriate and consistent with enterprise standards.