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Senior Manager Data Analytics Jobs in Spring, TX

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 ...

What sets this Data Analytics Internship apart is the opportunity to directly support business ... Present findings and progress updates to divisional management, highlighting opportunities for ...

What sets this Data Analytics Internship apart is the opportunity to directly support business ... Present findings and progress updates to divisional management, highlighting opportunities for ...

What sets this Data Analytics Internship apart is the opportunity to directly support business ... Present findings and progress updates to divisional management, highlighting opportunities for ...

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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 Jun 1, 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.

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 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.

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 Data Analytics Associate - Clinical Research Data

Senior Data Analytics Associate - Clinical Research Data

Baylor College of Medicine

Houston, TX • Hybrid

$79.09K - $93.05K/yr

Other

Posted 9 days ago


Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

49th of 530 rated colleges and universities


Job description

Job Title: Senior Data Analytics Associate - Clinical Research Data
Division: Obstetrics and Gynecology
Work Arrangement: Hybrid
Location: Houston, TX
Salary Range: $79,092 - $93,049
FLSA Status: Exempt
Work Schedule: Flexible
Summary
The Senior Data Analytics Associate will serve as a key analytical partner within the Fetal Center Research team. This role is responsible for maintaining and optimizing research databases, sustaining established Power BI dashboards, and developing new data-driven solutions that support complex fetal intervention research, including FDA regulated clinical trials. The analyst will apply advanced analytical methods, statistical modeling, and data visualization techniques to drive evidence-based decision making, ensure data integrity, and enhance operational and research outcomes across interdepartmental clinical research initiatives.
Job Duties

  • Maintain the integrity, accuracy, and performance of existing Power BI dashboards utilized for research and quality improvement.
  • Manage, develop, and optimize research databases, data collection systems, and data workflows to support ongoing and upcoming fetal intervention studies and FDA regulated clinical trials.
  • Support identification, integration, and preparation of large clinical, imaging, and longitudinal research datasets generated across interdepartmental partners.
  • Interpret complex clinical and research data using advanced statistical and analytics techniques; develop predictive models to support fetal intervention planning, patient risk stratification, and trial outcomes forecasting.
  • Identify, analyze, and interpret trends or patterns within high volume, multifaceted datasets relevant to maternal-fetal research.
  • Develop new dashboards, data visualization aids, and analytic tools tailored to the unique needs of fetal intervention studies, regulatory reporting, and research publications.
  • Work collaboratively with physicians, research coordinators, statisticians, data managers, and interdepartmental partners within Texas Children's Hospital Fetal Center to understand research and operational requirements and translate them into intuitive analytic solutions.
  • Provide consultative analytics support to clinical trial teams, offering actionable insights to guide process improvements, protocol planning, and research strategy.
  • Prepare high quality, well documented analytic outputs that support manuscripts, presentations, grants, regulatory submissions, and internal research reviews.
  • Recommend enhancements to data collection procedures, analytic processes, and reporting systems to increase statistical efficiency, regulatory compliance, and team effectiveness.
  • Continuously refine and improve analytics pipelines supporting fetal center workflows, multi site collaborations, and clinical trial operations.
  • Perform other duties as assigned to support the mission of the Fetal Center Research team.
Minimum Qualifications
  • Bachelor's degree. Four years of relevant experience may substitute for degree requirement.
  • Four years of relevant experience.
Preferred Qualifications and Skills
  • Experience with REDCap, MS Excel and Power BI.
  • Previous experience in research data management.
  • Requires experience with computer spreadsheets and database management (experience with developing and maintaining databases in REDCap preferred).
  • Self-directed, independent and organized.
  • Requires critical thinking and interpersonal skills necessary to coordinate large data sets within a multi-disciplinary team.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
SN; Nature
Requisition ID: 25252

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