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Data Analysis Supervisor Jobs (NOW HIRING)

Data Scientist Supervisor

Alhambra, CA ยท On-site

$9.8K - $13K/mo

Salary Range: $9,852.82 - $13,278.10 Monthly SUMMARY The Data & Analytics Unit is responsible for ... The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit ...

Salary Range: $9,852.82 - $13,278.10 Monthly SUMMARY The Data & Analytics Unit is responsible for ... The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit ...

Data Scientist Supervisor

Alhambra, CA ยท On-site

$9.8K - $13K/mo

Salary Range: $9,852.82 - $13,278.10 Monthly SUMMARY The Data & Analytics Unit is responsible for ... The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit ...

$9.8K - $13K/mo

Salary Range: $9,852.82 - $13,278.10 Monthly SUMMARY The Data & Analytics Unit is responsible for ... The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit ...

Identify areas to increase efficiency and automation of data analysis processes. * Identify and ... Assume other duties as assigned Supervisory Responsibilities Not responsible for supervising ...

Showing results 41-60

Data Analysis Supervisor information

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$31K

$97.1K

$172K

How much do data analysis supervisor jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data analysis supervisor in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is a data analysis supervisor?

Data Analysis Supervisors are professionals who oversee teams of data analysts to ensure the accurate collection, processing, and interpretation of data. They manage workflow, provide guidance on analytical methods, and ensure that data-driven insights support business goals. Additionally, they are responsible for maintaining data quality, developing analysis standards, and reporting key findings to stakeholders. Their role is essential in transforming raw data into actionable information for decision-making.

How does a data analysis supervisor typically collaborate with cross-functional teams to drive data-driven decision making?

A Data Analysis Supervisor frequently works alongside departments such as marketing, finance, and operations to understand their analytical needs and translate business questions into actionable data insights. They facilitate regular meetings to align on project goals, delegate analysis tasks to their team, and ensure findings are communicated clearly to non-technical stakeholders. This collaborative environment helps foster a culture of data-driven decision making and ensures that analytical outputs are directly tied to organizational objectives. Effective communication and project management are key skills in successfully bridging the gap between technical teams and business units.

What are the key skills and qualifications needed to thrive as a data analysis supervisor, and why are they important?

To thrive as a Data Analysis Supervisor, you need strong analytical skills, statistical knowledge, leadership experience, and a relevant degree in data science, statistics, or a related field. Proficiency in analytics tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, along with familiarity with data management systems, is typically expected. Excellent communication, problem-solving skills, and the ability to mentor and collaborate with team members are crucial soft skills in this role. These competencies ensure effective oversight of data projects, high-quality analysis, and actionable insights that drive organizational decision-making.

What are popular job titles related to Data Analysis Supervisor jobs?

For Data Analysis Supervisor jobs, the most frequently searched job titles are:

Supervisor, AI & Data Analytics

Houston, TX โ€ข On-site

BioUrja Group
Oil and Gas Extractionย โ€ขย 501 - 1,000 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Job description

Job Type
Full-time
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.