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Senior Manager Data Analytics Jobs in Spring, TX

Empower Pharmacy

Manager, Data Analytics

Houston, TX · On-site

The Manager, Data Analytics plays a crucial role in driving business impact through sophisticated data analysis and strategic insights, focusing on AI integration and team leadership to optimize data ...

Empower Pharmacy

Manager, Data Analytics

Houston, TX · On-site

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 ...

bwp

Manager Data and Analytics

Houston, TX

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 ...

Pwc

Data Engineer - Senior Manager

Houston, TX

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

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All JobsSenior Manager Data Analytics JobsSenior Manager Data Analytics Jobs in Spring, TX

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 Jun 22, 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:
Senior Manager Data Analytics jobs near you
Manager, Data Analytics

Manager, Data Analytics

Empower Pharmacy

Houston, TX • On-site

Full-time

Posted 7 days ago

Empower Pharmacy rating

8.8

Company rating: 8.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

3rd of 99 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, focusing on AI integration and team leadership to optimize data analytics processes and ensure compliance with industry regulations. This position involves strategic alignment of data initiatives with business goals while fostering a culture of innovation and continuous improvement within the analytics team.
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.
• Lead the exploration and adoption of cutting-edge AI technologies to drive innovation in data analytics processes.
• Ensure data analytics initiatives align with Empower’s business goals and regulatory standards.
• Provide leadership and mentorship to the data analytics team, fostering a collaborative and high-performance environment.
• Oversee team performance, setting clear objectives and key results (OKRs) aligned with organizational goals.
• Participate in the recruitment and retention of top-tier analytics talent.
• Optimize data analytics processes to improve efficiency and effectiveness, leveraging AI to streamline operations.
• Manage analytics resources, ensuring efficient allocation of tools and technologies.
• Ensure data analytics practices comply with industry regulations and standards.
• Establish and maintain strong relationships with key stakeholders across the organization.
• Effectively communicate data insights and analytics findings to non-technical audiences.
• Lead cross-functional data analytics projects, ensuring timely delivery and alignment with business objectives.
Qualifications:
Required:
• Bachelor’s degree in Data Science, Business Analytics, or related field; Master’s preferred.
• Minimum of 5 years of experience in data analytics or related roles, with 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, with a deep understanding of data governance and compliance.
• Proficient in data analytics tools and AI-driven platforms, with strong analytical and problem-solving skills.
• Exceptional leadership and team management abilities, fostering a culture of innovation and continuous improvement.
• Strong understanding of regulatory compliance within data management and analytics environments.
• Excellent communication and stakeholder management skills, with the ability to convey complex data insights effectively.
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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