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Senior Manager Data Analytics Jobs in Spring, TX

The Manager, Data Analytics plays a crucial role in driving business impact through sophisticated data analysis and strategic insights, overseeing extensive data projects and integrating AI to ...

The Manager, Data Analytics plays a crucial role in driving business impact through sophisticated data analysis and strategic insights. This position encompasses ownership of extensive data projects ...

We are currently looking for a Manager Data & Analytics for our Houston, TX office. POSITION DESCRIPTION: Leads the development and execution of enterprise data and analytics capabilities to drive ...

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Senior Manager Data Analytics information

See Spring, TX salary details

$40K

$101.9K

$149.9K

How much do senior manager data analytics jobs pay per year?

As of Jul 12, 2026, the average yearly pay for senior manager data analytics in Spring, TX is $101,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $120,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Manager Data Analytics, and why are they important?

To thrive as a Senior Manager Data Analytics, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and several years of analytics experience. Proficiency with analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as experience with data warehousing systems, is essential. Strong leadership, strategic thinking, and communication skills enable you to guide teams and translate complex findings into actionable business insights. These competencies are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

What does a Senior Manager Data Analytics do?

A Senior Manager Data Analytics leads teams that analyze large sets of data to help organizations make informed business decisions. They develop analytics strategies, oversee data projects, and ensure the quality and integrity of data-driven insights. This role often involves collaborating with other departments, mentoring analysts, and presenting key findings to senior leadership. Senior Managers in this field need strong technical skills, leadership abilities, and business acumen to drive impactful results.

How does a Senior Manager of Data Analytics typically collaborate with cross-functional teams within an organization?

Senior Managers of Data Analytics frequently work alongside cross-functional teams such as IT, product development, marketing, and finance to ensure that data-driven insights align with business objectives. They are responsible for translating complex analytical findings into actionable recommendations and communicating these insights clearly to both technical and non-technical stakeholders. Regular collaboration often involves leading meetings, setting project priorities, and ensuring data initiatives are integrated smoothly with ongoing business strategies. This collaborative environment fosters innovation and helps drive organizational growth.

What is the difference between Senior Manager Data Analytics vs Data Analyst?

AspectSenior Manager Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership roles, strategic planning, team managementData collection, analysis, reporting
Employer & Industry UsageCorporate, finance, healthcare, tech companiesVarious industries, including marketing, finance, tech
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical and analytical skills

The main difference between Senior Manager Data Analytics and Data Analyst lies in their responsibilities and experience level. Senior Managers focus on strategic oversight, team leadership, and decision-making, while Data Analysts handle data collection, analysis, and reporting at a more technical level. Senior Managers typically have more experience and credentials, working in leadership roles within organizations across various industries.

What are popular job titles related to Senior Manager Data Analytics jobs in Spring, TX? For Senior Manager Data Analytics jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Senior Manager Data Analytics jobs in Spring, TX look for? The top searched job categories for Senior Manager Data Analytics jobs in Spring, TX are:
What cities near Spring, TX are hiring for Senior Manager Data Analytics jobs? Cities near Spring, TX with the most Senior Manager Data Analytics job openings:
Manager, Data Analytics

Manager, Data Analytics

Empower Pharmacy

Houston, TX • On-site

Full-time

Posted 27 days ago


Empower Pharmacy rating

8.8

Company rating: 8.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

5th of 104 rated pharmacies


Job description

Job Summary:
Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. The Manager, Data Analytics plays a crucial role in driving business impact through sophisticated data analysis and strategic insights, overseeing extensive data projects and integrating AI to enhance decision-making and operational efficiency.
Responsibilities:
• Develop and implement data analytics strategies that integrate AI to enhance predictive analytics capabilities, improve data quality, and support strategic decision-making across the organization. Collaborate with cross-functional teams to ensure alignment with business objectives and regulatory requirements.
• Lead the exploration and adoption of cutting-edge AI technologies to drive innovation in data analytics processes. Foster a culture of continuous improvement and learning within the analytics team to maintain competitive advantage in the industry.
• Ensure data analytics initiatives align with Empower’s business goals and regulatory standards. Utilize data-driven insights to inform strategic planning and operational decisions, contributing to the company’s growth and compliance in a highly regulated sector.
• Provide leadership and mentorship to the data analytics team, fostering a collaborative and high-performance environment. Encourage professional growth and development, ensuring the team possesses the skills necessary to meet evolving business needs.
• Oversee team performance, setting clear objectives and key results (OKRs) aligned with organizational goals. Implement performance metrics and feedback mechanisms to drive accountability and excellence in execution.
• Participate in the recruitment and retention of top-tier analytics talent. Ensure the team’s competencies align with the strategic demands of the business, cultivating a diverse and inclusive workplace culture.
• Optimize data analytics processes to improve efficiency and effectiveness, leveraging AI to streamline operations. Implement best practices and continuous improvement initiatives to enhance data analysis capabilities and outcomes.
• Manage analytics resources, ensuring efficient allocation of tools and technologies. Monitor budgetary constraints and leverage AI-driven solutions to maximize resource utilization and operational efficiency.
• Ensure data analytics practices comply with industry regulations and standards. Implement governance frameworks to maintain data integrity, security, and privacy, supporting Empower’s commitment to compliance and ethical practices.
• Establish and maintain strong relationships with key stakeholders across the organization. Collaborate with departments such as IT, finance, and operations to align data analytics projects with business priorities and strategic initiatives.
• Effectively communicate data insights and analytics findings to non-technical audiences. Prepare and deliver executive-level reports and presentations that articulate the value and impact of analytics initiatives on business performance.
• Lead cross-functional data analytics projects, ensuring timely delivery and alignment with business objectives. Utilize AI-driven project management tools to enhance collaboration, track progress, and optimize project outcomes.
Qualifications:
Required:
• Bachelor’s degree in Data Science, Business Analytics, or related field
• Minimum of 5 years of experience in data analytics or related roles
• At least 2 years in a leadership position
• Proven track record of leveraging AI to drive business innovation and enhance data analytics capabilities
• Experience in a highly regulated industry
• Strong understanding of regulatory compliance within data management and analytics environments
• Proficient in data analytics tools and AI-driven platforms
• Strong analytical and problem-solving skills
• Exceptional leadership and team management abilities
• Excellent communication and stakeholder management skills
• Ability to convey complex data insights effectively
Preferred:
• Master’s degree in Data Science, Business Analytics, or related field
Company:
Compounding Pharmacy and Outsourcing Facility Founded in 2009, the company is headquartered in Houston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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