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

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 ...

Technical Architect - Data, Analytics & AI

Conroe, TX · Hybrid

$54.50 - $70.25/hr

Define and maintain technical standards for enterprise data management, analytics platforms, and AI enablement capabilities. * Design and guide datacentric and AIenabled initiatives , supporting the ...

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 ...

New

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 ...

New

Data, Analytics & Insights - Executive Advisor

Houston, TX · Hybrid

$52.25 - $67.75/hr

We are seeking Data, Analytics & Insights - Executive Adviso r to shape, win and lead major client ... This role places a strong emphasis on data strategy, data management, and information-driven ...

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Showing results 1-20

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 Jul 12, 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.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment certain responsibilities, it is unlikely to fully replace data analysts in the near future, and skills in data storytelling and critical thinking remain essential.

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 analyst manager do?

A data analyst manager oversees a team of data analysts, guiding data collection, analysis, and reporting to support business decision-making. They develop strategies, ensure data accuracy, and often use tools like SQL, Excel, or data visualization software to interpret complex data sets. Strong leadership, communication skills, and knowledge of analytics tools are essential for this role.

How much do data analytics managers make?

Data analytics managers in the US typically earn a median salary of around $100,000 to $130,000 annually, with experienced professionals and those in high-demand industries earning higher. Salaries can vary based on location, education, certifications, and company size, and many roles require proficiency in tools like SQL, Python, or Tableau.

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.

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.

Is a data analyst a high salary?

Data analysts typically earn moderate to high salaries depending on experience, industry, and location. While entry-level positions may have lower pay, experienced data analysts with skills in SQL, Excel, and data visualization tools can command higher salaries, especially in competitive markets.
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:

Supervisor, AI & Data Analytics

Biourja Advisors LLC

Houston, TX

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

Description

SUMMARY OF COMPANY

BioUrja Advisors is the shared services company within BioUrja Group.  Established in 2006, BioUrja was initially founded to supply physical bioethanol to the U.S. refining industry, BioUrja has since evolved into a leading supplier of refined petroleum products and natural gas liquids, in addition to maintaining its strong presence in the bioethanol supply and trading sector. We count every major refining company as our customer, as well as most of the largest international trading houses and wholesalers. We are renowned globally in the energy industry, with a reputation for exceptional service and reliability in delivering physical commodities anywhere.


POSITION SUMMARY

The Supervisor, AI & Data Analytics is responsible for leading and developing a centralized team of analysts supporting trading, energy, terminals, logistics, manufacturing, finance, and corporate functions across BioUrja Group through data analytics, business intelligence, AI, and process automation initiatives. This role combines advanced technical expertise, including artificial intelligence (AI), data analytics, and automation-with strong leadership. The Supervisor will oversee a team of approximately five analysts, driving high-quality analytical outputs, identifying opportunities for AI-driven efficiencies, and building scalable data solutions that support business decision-making across multiple functions and geographies. This position will report to the VP of IT Infrastructures & Security.


RESPONSIBILITIES 

  • Lead, manage, mentor, and develop a centralized team of analysts supporting BioUrja Group companies across multiple business functions and geographies.
  • Oversee the intake, prioritization, and execution of analytics, reporting, AI, and automation initiatives to ensure alignment with business objectives.
  • Partner with business leaders to identify opportunities where data analytics, artificial intelligence, and process automation can improve operational efficiency, profitability, and decision-making.
  • Design, develop, and implement AI-driven solutions, machine learning models, and intelligent automation tools that deliver measurable business value.
  • Establish and maintain enterprise reporting frameworks, dashboards, key performance indicators (KPIs), and self-service analytics capabilities.
  • Develop scalable data models, workflows, and processes that improve data accessibility, consistency, and quality across the organization.
  • Serve as a subject matter expert in artificial intelligence, machine learning, data analytics, and emerging technologies, providing guidance to both technical and non-technical stakeholders.
  • Ensure data integrity, governance, security, and compliance standards are maintained across all analytics and AI initiatives.
  • Collaborate with IT, operations, finance, trading, logistics, and other business teams to deliver cross-functional data and AI solutions.
  • Evaluate emerging AI technologies, platforms, and vendors, recommending solutions that align with organizational goals and technology strategy.
  • Provide hands-on technical leadership in areas including data analysis, dashboard development, AI solution design, automation, and advanced reporting.
  • Prepare and present executive-level insights, recommendations, and performance metrics to senior leadership.
  • Establish best practices, standards, and governance processes for analytics, AI development, and automation initiatives.
  • Support strategic projects and special initiatives as assigned by leadership.


REQUIREMENTS & QUALIFICATIONS

  • Bachelor's degree in relevant field (Master's preferred). 
  • 5+ years of experience in analytics or technical field.
  • Prior team leadership experience preferred. 
  • Advanced AI/ML knowledge. 
  • Experience with Python, SQL, Power BI or Tableau, Excel, and modern AI platforms including Microsoft Copilot, ChatGPT, Claude, Gemini and related LLM technologies.
  • Experience building AI-enabled workflows, automation, agents, or machine learning solutions preferred.
  • Strong communication skills. 
  • Ability to translate technical insights into business value. 
  • Partner with business leaders to identify opportunities where analytics, AI, and automation can improve operational efficiency, profitability, and decision-making.

Success in this role will be measured by the team's ability to deliver actionable business insights, increase organizational adoption of AI solutions, improve operational efficiency through automation, and maintain high standards of data quality and governance.


Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.


BENEFITS

  • Competitive Salary.
  • Comprehensive Benefits (medical, dental, vision, life).
  • 401(k)/ Retirement savings.
  • Friendly work environment.
  • Paid-Time Off/holidays.

EEO STATEMENT

We are an equal opportunity employer, and all qualified candidates will receive consideration without regard to race, color, age, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, veteran status, disability, genetic information, or any other characteristic protected by law. 


BioUrja Advisors LLC participates in the E-Verify Employment Verification Program. 


BioUrja Advisors LLC is not currently accepting unsolicited resumes from search firms. Regardless of past practice, all resumes submitted by search firms to any employee at BioUrja Advisors LLC, via-email, the Internet or directly to hiring managers at BioUrja Advisors LLC in any form without a valid written agreement in place for that specific position will be deemed the sole property of BioUrja Advisors LLC. As a result, no fee will be paid in the event the candidate is hired by BioUrja Advisors LLC.