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Executive Data Analytics Jobs in Missouri (NOW HIRING)

Lead the strategy and execution of the company's data analytics and operations roadmap to align ... Partner with executive leadership and cross-functional stakeholders to define key performance ...

This is a senior analytics opportunity at the intersection of blockchain data, business ... and executive-level briefings. * Ability to work effectively with cross-functional teams and ...

... data strategy and insight generation across the Consumer Bank * Serve as the senior analytics advisor to Consumer Bank leadership, providing insights and recommendations * Develop executive-level ...

Experience presenting recommendations to senior executive stakeholders * Master of Business ... Analyze financial & key performance indicator deal data for trends and outliers * Directly advise ...

... Data Analytics, Data Visualization, Executive Communications, Financial Reporting and Analysis, Financial Systems, Interpersonal Communication, Key Performance Indicators (KPI), Organizational ...

Enterprise B2B SAAS CSM experience, with specific emphasis on Data analytics, Cloud, Collaboration ... Experience drafting QBRs, executive summaries * Experience managing renewals and partnering with ...

New

Set standards, coach teams, and co-author executive-facing deliverables to improve overall data science storytelling across the organization. * Strategic insights. Produce deep analyses on revenue ...

Showing results 21-40

Executive Data Analytics information

What is an executive data analytics professional?

An Executive Data Analytics professional is a senior leader responsible for overseeing an organization's data strategy, analytics initiatives, and data-driven decision-making processes. They manage teams of analysts and data scientists, align analytics projects with business goals, and ensure the effective use of data to drive growth and innovation. Their role typically involves collaborating with other executives, setting data governance policies, and identifying opportunities for leveraging data to improve performance and competitive advantage.

What are the key skills and qualifications needed to thrive as an executive in data analytics?

To thrive as an Executive in Data Analytics, you need expertise in data analysis, statistical modeling, and data-driven decision-making, usually supported by an advanced degree in data science, statistics, or a related field. Familiarity with analytics platforms such as Tableau, Power BI, SQL, and cloud-based data systems, along with certifications like Certified Analytics Professional (CAP), is typically required. Strong leadership, strategic thinking, and communication skills distinguish top performers by enabling them to translate complex data insights for stakeholders and drive organizational change. These skills are critical for aligning analytics initiatives with business goals and delivering measurable value.

How does an executive data analytics professional typically collaborate with other departments to drive business strategy?

Executive Data Analytics professionals often work closely with leaders across marketing, finance, operations, and IT to translate complex data insights into strategic business decisions. They facilitate cross-functional meetings, present actionable findings, and recommend data-driven initiatives that align with organizational goals. This role requires strong communication and leadership skills, as executives must bridge the gap between technical data teams and non-technical stakeholders, ensuring everyone understands and acts on key insights.

What is an executive data analytics?

Executive data analytics involves analyzing large datasets to support strategic decision-making at the leadership level. Professionals in this role use tools like SQL, Python, or Tableau to interpret data trends and present insights that inform business strategies. Strong analytical skills and experience with data visualization are essential for success in this position.

What are the most commonly searched types of Data Analytics jobs in Missouri?

The most popular types of Data Analytics jobs in Missouri are:

What cities in Missouri are hiring for Executive Data Analytics jobs?

Cities in Missouri with the most Executive Data Analytics job openings:

Senior Director of Data Analytics (St. Louis)

SBS Creatix

Saint Louis, MO • On-site

$200K - $220K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

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This range is provided by SBS Creatix. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $220,000.00/yr

General Info:

US Citizen or GC Holders only

No C2C, must be on our W2

Bachelors Degree Required

Position Overview:

The Senior Director of Data Analytics is a strategic and hands-on leader responsible for designing and executing a data strategy that empowers evidence-based decisions across the organization. This role leads the development of a centralized data warehouse, enterprise analytics, and strong data governance practices. It also drives advanced analytics – including predictive modeling – to generate insights that improve outcomes, identify risks, and maximize impact. The position is instrumental in guiding strategic decisions, program innovation, and performance measurement across all sites and services.

Professional Experience:

  • 10+ years of progressive experience in data analytics.
  • Proven ability to build scalable data infrastructure, ideally in nonprofit, social impact, or healthcare settings.
  • Proficiency in data science tools/languages (e.g., SQL, Python, R) and visualization platforms (e.g., Tableau, Power BI, Looker).
  • Demonstrated experience with predictive modeling, machine learning, and statistical analysis.
  • Experience implementing data governance frameworks and managing data quality/stewardship.
  • Exceptional communication skills – able to translate complex analytics into strategic insights.

Key Responsibilities:

  • Lead the development and execution of the organization’s data strategy in alignment with overall goals.
  • Oversee the creation of a centralized data warehouse and implement governance frameworks to ensure data integrity.
  • Establish a measurement framework to evaluate program effectiveness and community impact.
  • Collaborate with leadership to define key performance indicators (KPIs) and track progress.
  • Act as a strategic partner, translating insights into actionable decisions.
  • Drive continuous improvement through internal reporting and program metrics.

Data Quality, Governance & Stewardship

  • Develop and enforce data governance policies in partnership with IT, emphasizing integrity, privacy, and access.
  • Maintain data dictionaries, metadata standards, and audit protocols.
  • Ensure infrastructure security and regulatory compliance through collaboration with IT and vendors.
  • Oversee data validation processes to uphold quality standards.
  • Ensure adherence to all federal, state, and local data regulations.

Advanced Analytics & AI

  • Develop predictive models to enhance participant outcomes, optimize program delivery, and inform resource allocation.
  • Leverage natural language processing (NLP) to analyze qualitative data and improve service insights and strategies.
  • Apply geospatial analytics for site planning and assessing community needs.
  • Monitor emerging trends in AI, automation, and data science to identify innovative solutions that advance organizational objectives.

Performance Reporting & Measurement

  • Design and maintain dashboards and reporting tools in collaboration with IT.
  • Lead organization-wide efforts to define, monitor, and communicate KPIs.
  • Work closely with program and evaluation teams in support of grant management, ensuring accurate tracking, analysis, and reporting of program outcomes to support compliance.
  • In partnership with the CEO, turn data into compelling stories that can be used to drive engagement and support.

Cross-Functional Collaboration and Leadership

  • Collaborate with functional leaders across Program, Development, Finance, HR, Learning & Development, and IT to align data strategies with organizational goals.
  • Collaborate with internal stakeholders to understand operational models and develop data collection processes that align with goals and funder requirements.
  • Represent the organization in data-driven collaborations, research initiatives, and external presentations to advance thought leadership and partnership opportunities.

Preferred Education:

  • Master’s or Ph.D. in Data Science, Public Policy, Statistics, Computer Science, or related field.
  • Experience with NLP tools and frameworks and GIS/geospatial platforms.
  • Familiarity with logic models, outcomes frameworks, or evidence-based program evaluation.
Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeContract
Job function
  • Job functionInformation Technology
  • IndustriesIT Services and IT Consulting

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