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Data Analytics Manager Jobs in Spring, TX (NOW HIRING)

The Logistics Data Analytics position serves as subject matter expert (SME), responsible for ... Strong influencing and conflict management skills * Demonstrate a high level of personal initiative ...

Experience with quality management systems (QMS) software or data management platforms preferred * Familiarity with Excel functions (pivot tables, charts, formulas) or similar analytics tools; basic ...

Experience with quality management systems (QMS) software or data management platforms preferred * Familiarity with Excel functions (pivot tables, charts, formulas) or similar analytics tools; basic ...

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Data Analytics Manager information

See Spring, TX salary details

$27.6K

$86.4K

$153.1K

How much do data analytics manager jobs pay per year?

As of May 29, 2026, the average yearly pay for data analytics manager in Spring, TX is $86,448.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $111,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do Data Analytics Managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What does a Data Analytics Manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Spring, TX? The most popular types of Data Analytics jobs in Spring, TX are:
What are popular job titles related to Data Analytics Manager jobs in Spring, TX? For Data Analytics Manager jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Analytics Manager jobs in Spring, TX look for? The top searched job categories for Data Analytics Manager jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Analytics Manager jobs? Cities near Spring, TX with the most Data Analytics Manager job openings:
Infographic showing various Data Analytics Manager job openings in Spring, TX as of May 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $86,448 per year, or $41.6 per hour.
Workforce Data & Analytics Senior Manager

Workforce Data & Analytics Senior Manager

Deloitte

Houston, TX • On-site

Other

Posted 29 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services


Job description

Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics. We leverage sector-specific insights and cross-domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions. Our practice is renowned for making work better for humans and humans better at work. Be part of this exciting era of change and join us on this transformative journey.

Recruiting for this role ends on 5/30/2026.

Work you'll do

As a Workforce Data & Analytics Senior Manager on the HR Strategy & Technology team, you will be responsible for leading people analytics engagements that help clients translate workforce data into business decisions across work, workforce, and workplace priorities.

  • Lead delivery of people analytics engagements, including project planning, resource allocation, budget tracking, risk management, and execution against client objectives and timelines.
  • Manage global and cross-functional teams in the design and delivery of data engineering, analytics, dashboarding, visualization, and modeling solutions across Human Capital Management and enterprise business intelligence platforms.
  • Advise clients on people analytics strategy, operating model, roadmap, use cases, and user stories by conducting discovery, defining business questions, and translating findings into actionable recommendations.
  • Oversee data architecture, data pipelines, data quality remediation, privacy considerations, and deployment activities to support analytics and artificial intelligence use cases involving employee data.
  • Support client relationship management and business development activities, including presenting insights and recommendations, identifying analytics-led opportunities, and contributing to proposals and pursuits.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our HR Strategy & Technology Offering is dedicated to developing leading global HR strategies and implementing cutting-edge HR technologies. We drive transformation and maximize the workforce experience, ensuring sustained HR effectiveness and value. In a world of disruption, our solutions empower organizations to navigate challenges seamlessly, enhancing their HR capabilities and fostering a resilient workforce.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 8+ years of experience in management consulting or in a consultative analytics role
  • 8+ years of experience managing teams of 15+ professionals
  • 8+ years of experience performing data engineering and data analysis using Structured Query Language (SQL), R, and Python
  • 8+ years of experience working with data warehouses and data lakes, including Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, Databricks, or Snowflake
  • 8+ years of experience building dashboards and reporting solutions using business intelligence tools or people analytics platforms, including Tableau, Power BI, Qlik, Visier, or OneModel
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Engineering, or a related field
  • Experience leading at least 2 initiatives in which artificial intelligence or machine learning methods were designed or implemented for people analytics or workforce use cases
  • Experience facilitating at least 3 meetings, presentations, or workshops with cross-functional or global stakeholder groups on complex topics
  • Experience managing at least 2 data- or technology-enabled projects through the full project lifecycle, including budget, timeline, deliverable, and stakeholder management
  • Experience presenting findings from technical projects to Human Resources leadership or executive audiences at least 2 times, resulting in a defined business action, strategy, or policy change
  • Experience mapping, designing, or evaluating people analytics data and technology workflows for at least 1 organization or major initiative

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $171,600 to $338,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Qualifications:

Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics. We leverage sector-specific insights and cross-domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions. Our practice is renowned for making work better for humans and humans better at work. Be part of this exciting era of change and join us on this transformative journey.

Recruiting for this role ends on 5/30/2026.

Work you'll do

As a Workforce Data & Analytics Senior Manager on the HR Strategy & Technology team, you will be responsible for leading people analytics engagements that help clients translate workforce data into business decisions across work, workforce, and workplace priorities.

  • Lead delivery of people analytics engagements, including project planning, resource allocation, budget tracking, risk management, and execution against client objectives and timelines.
  • Manage global and cross-functional teams in the design and delivery of data engineering, analytics, dashboarding, visualization, and modeling solutions across Human Capital Management and enterprise business intelligence platforms.
  • Advise clients on people analytics strategy, operating model, roadmap, use cases, and user stories by conducting discovery, defining business questions, and translating findings into actionable recommendations.
  • Oversee data architecture, data pipelines, data quality remediation, privacy considerations, and deployment activities to support analytics and artificial intelligence use cases involving employee data.
  • Support client relationship management and business development activities, including presenting insights and recommendations, identifying analytics-led opportunities, and contributing to proposals and pursuits.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our HR Strategy & Technology Offering is dedicated to developing leading global HR strategies and implementing cutting-edge HR technologies. We drive transformation and maximize the workforce experience, ensuring sustained HR effectiveness and value. In a world of disruption, our solutions empower organizations to navigate challenges seamlessly, enhancing their HR capabilities and fostering a resilient workforce.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 8+ years of experience in management consulting or in a consultative analytics role
  • 8+ years of experience managing teams of 15+ professionals
  • 8+ years of experience performing data engineering and data analysis using Structured Query Language (SQL), R, and Python
  • 8+ years of experience working with data warehouses and data lakes, including Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, Databricks, or Snowflake
  • 8+ years of experience building dashboards and reporting solutions using business intelligence tools or people analytics platforms, including Tableau, Power BI, Qlik, Visier, or OneModel
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Engineering, or a related field
  • Experience leading at least 2 initiatives in which artificial intelligence or machine learning methods were designed or implemented for people analytics or workforce use cases
  • Experience facilitating at least 3 meetings, presentations, or workshops with cross-functional or global stakeholder groups on complex topics
  • Experience managing at least 2 data- or technology-enabled projects through the full project lifecycle, including budget, timeline, deliverable, and stakeholder management
  • Experience presenting findings from technical projects to Human Resources leadership or executive audiences at least 2 times, resulting in a defined business action, strategy, or policy change
  • Experience mapping, designing, or evaluating people analytics data and technology workflows for at least 1 organization or major initiative

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $171,600 to $338,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Education:Bachelor's DegreeEmployment Type:

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