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Data And 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 ยท 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 ...

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 ...

Data, Analytics & Insights - Executive Advisor

Houston, TX ยท 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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Data And Analytics Manager information

See Spring, TX salary details

$27.6K

$86.4K

$153.1K

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

As of Jul 13, 2026, the average yearly pay for data and 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 and Analytics Manager, and why are they important?

To thrive as a Data and Analytics Manager, you need expertise in data analysis, statistical modeling, and business intelligence, often supported by a degree in a quantitative field and experience in data management. Proficiency with tools like SQL, Python, Tableau, and data warehousing systems, as well as relevant certifications such as Certified Analytics Professional (CAP), is highly valuable. Strong leadership, communication, and problem-solving skills set top performers apart by enabling them to translate complex data insights into actionable business strategies. These skills are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

What are top 3 soft skills for a data analyst?

For a Data and Analytics Manager, the top three soft skills for a data analyst are communication, critical thinking, and collaboration. These skills enable analysts to interpret data effectively, present insights clearly, and work well within teams to support decision-making. Strong interpersonal skills and adaptability are also valuable in dynamic data environments.

What are some common challenges faced by Data and Analytics Managers when implementing data-driven initiatives in organizations?

Data and Analytics Managers often encounter challenges such as integrating data from disparate sources, ensuring data quality and governance, and aligning data strategies with business goals. They must also navigate organizational resistance to change, educate stakeholders on the value of analytics, and stay updated on rapidly evolving technologies. Successfully overcoming these challenges requires strong communication, project management skills, and a proactive approach to stakeholder engagement.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a Data and Analytics Manager involves interpreting complex data, making strategic decisions, and communicating insights, which require human judgment and domain expertise. AI is a complement to data analysts, enhancing productivity rather than fully replacing them. Skills in data visualization, critical thinking, and understanding business context remain essential for the role.

What does a data analytics manager do?

A data analytics manager oversees the collection, analysis, and interpretation of data to support business decision-making. They lead data teams, develop analytics strategies, and use tools like SQL, Python, or Tableau to generate insights that improve organizational performance.

What is the highest paying job in data analytics?

The highest paying roles in data analytics typically include Chief Data Officer, Data Science Director, and Senior Data Scientist, often requiring advanced skills in machine learning, big data tools, and leadership. These positions can offer six-figure salaries, especially in large organizations or industries like finance and technology.

What are Data and Analytics Managers?

Data and Analytics Managers are professionals responsible for overseeing an organization's data strategy, including data collection, storage, analysis, and reporting. They manage teams of data analysts and data scientists, ensuring data quality and developing insights that inform business decisions. Their role often involves collaborating with other departments to identify data needs, selecting appropriate tools and technologies, and ensuring compliance with data governance policies. Data and Analytics Managers play a crucial role in helping companies leverage data to drive growth and efficiency.
What are popular job titles related to Data And Analytics Manager jobs in Spring, TX? For Data And Analytics Manager jobs in Spring, TX, the most frequently searched job titles are:
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What cities near Spring, TX are hiring for Data And Analytics Manager jobs? Cities near Spring, TX with the most Data And Analytics Manager job openings:

Supervisor, AI & Data Analytics

Biourja Advisors LLC

Houston, TX โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

Description

SUMMARY OF COMPANY

BioUrja Advisors is the shared services company within BioUrja Group. ย 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.


RESPONSIBILITIESย 

  • 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).ย 
  • 5+ years of experience in analytics or technical field.
  • Prior team leadership experience preferred.ย 
  • Advanced AI/ML knowledge.ย 
  • 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.ย 
  • Ability to translate technical insights into business value.ย 
  • 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.ย 


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


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.