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Data Analytics Supervisor Jobs in Texas (NOW HIRING)

Weekly in-person schedules will be determined by the individual and their supervisor, in ... Bachelor's degree in Supply Chain, Business, Data Analytics, Information Systems, Engineering ...

Entry Level Data Analyst

Austin, TX · On-site

$70 - $95/hr

Advanced Analytics: Move beyond descriptive stats to conduct deep-dive analyses on customer ... Familiarity with supervised learning algorithms (like Random Forests or Logistic Regression)

This role combines data analytics, programming, and business intelligence with hands-on laboratory ... Notify supervisors promptly of unexpected test results and provide initial problem-solving with ...

Experience in setting up supervised unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection ensemble methods, performance metrics visualization.

... analytics frameworks, methodologies, and standards. 4. Captures, develops, and documents data ... Leadership skills Knowledge of management/supervisory methods and principles, performance ...

Provides and/or supervises gathering, entering and auditing of data in database. * Assists with ... Performs statistical analysis interpretation by preparing reports (monthly, quarterly and/or as ...

Supervises the Following Positions Positions: N/A Physical Requirements * The ability to perform ... Assists in development of quality tools, analysis and display of data and writing of process ...

Supervises the Following Positions Positions: N/A Physical Requirements * The ability to perform ... Assists in development of quality tools, analysis and display of data and writing of process ...

Provides and/or supervises gathering, entering and auditing of data in database. * Assists with ... Performs statistical analysis interpretation by preparing reports (monthly, quarterly and/or as ...

Showing results 21-40

Data Analytics Supervisor information

What does a data analytics supervisor do?

A Data Analytics Supervisor oversees a team of data analysts, ensuring they collect, process, and analyze data effectively to support business decisions. They are responsible for managing projects, setting goals, and providing technical guidance to their team. Additionally, they collaborate with other departments to identify data needs, develop strategies, and present insights to leadership. The role requires strong analytical, communication, and leadership skills.

What are the key skills and qualifications needed to thrive as a data analytics supervisor?

To thrive as a Data Analytics Supervisor, you need strong analytical abilities, leadership experience, proficiency in statistical analysis, and a relevant degree in data science, statistics, or a related field. Familiarity with tools like SQL, Python, R, and business intelligence platforms (e.g., Tableau, Power BI) is typically required, along with experience managing data projects and teams. Excellent communication, problem-solving, and team management skills distinguish top performers in this role. These competencies are crucial for translating data insights into actionable strategies, guiding teams effectively, and ensuring the organization's data-driven decision-making success.

How does a data analytics supervisor typically collaborate with cross-functional teams within an organization?

A Data Analytics Supervisor often works closely with departments such as marketing, finance, operations, and IT to identify analytical needs and deliver actionable insights. They facilitate meetings to understand business objectives, translate requirements into data-driven solutions, and ensure that analytics projects align with broader organizational goals. Effective communication and the ability to translate complex data findings into clear, actionable recommendations are critical for fostering strong interdepartmental collaboration.

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

AspectData Analytics SupervisorData Analyst
CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often requires experience in leadership rolesBachelor's degree in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentOversees teams, manages projects, collaborates with managementPerforms data analysis, reports findings, supports decision-making
Employer & Industry UsageUsed across industries like finance, healthcare, tech; common in organizations with analytics teamsFound in similar industries; often entry to mid-level role supporting analytics projects

The main difference is that Data Analytics Supervisors oversee teams and manage projects, while Data Analysts focus on analyzing data and generating reports. Supervisors typically have more experience and leadership responsibilities, whereas Data Analysts are more hands-on with data processing and analysis tasks.

What is the role of a data analytics supervisor?

A data analytics supervisor oversees data analysis teams, manages data collection and interpretation, and ensures accurate reporting to support business decisions. They often use tools like SQL, Excel, and data visualization software, and require strong leadership and analytical skills. The role involves coordinating projects, maintaining data quality, and implementing best practices in data management.

What are popular job titles related to Data Analytics Supervisor jobs in Texas?

For Data Analytics Supervisor jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Analytics Supervisor jobs in Texas look for?

The top searched job categories for Data Analytics Supervisor jobs in Texas are:

What cities in Texas are hiring for Data Analytics Supervisor jobs?

Cities in Texas with the most Data Analytics Supervisor job openings:

Infographic showing various Data Analytics Supervisor job openings in Texas as of August 2026, with employment types broken down into 20% Internship, and 80% Full Time. Highlights an 100% In-person job distribution.

DSCS Data Analyst

Bechtel

Houston, TX • On-site

Part-time

This job post has expired today. Applications are no longer accepted.


Key responsibilities

  • Analyze and validate data from enterprise systems and digital supply chain applications.

  • Develop and maintain standard reports, dashboards, and KPI metrics using reporting and visualization tools.

  • Support monitoring of supply chain performance metrics including material readiness, inventory, logistics, procurement, and project execution performance.


Bechtel rating

7.6

Company rating: 7.6 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

284th of 452 rated engineering


Job description

Requisition ID: 298570
  • Relocation Authorized: None
  • Telework Type: Part-Time Telework
  • Work Location: Houston, TX

Extraordinary teams building inspiring projects:
Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.
Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations.
Core to Bechtel is our Vision, Values and Commitments. They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report.
Job Summary:
The DSCS Data Analyst supports Digital Supply Chain Systems (DSCS) initiatives by helping collect, analyze, and visualize data that supports Engineering, Procurement, Supply Chain, Logistics, and Construction functions. This role assists with maintaining data quality, developing dashboards and reports, monitoring key performance metrics, and supporting digital supply chain tools. Working closely with senior analysts and business stakeholders, the position contributes to improved project visibility, operational efficiency, and data-driven decision-making.
"This position is designated as part-time telework per our global telework policy and will require at least three days of in-person attendance per week at the assigned office or project. Weekly in-person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership" #LI-CS1
Major Responsibilities:
  • Analyze and validate data from enterprise systems and digital supply chain applications.
  • Develop and maintain standard reports, dashboards, and KPI metrics using reporting and visualization tools.
  • Support data quality, data governance, and continuous improvement initiatives.
  • Assist with monitoring supply chain performance metrics including material readiness, inventory, logistics, procurement, and project execution performance.
  • Support testing, user acceptance validation, and rollout activities for system enhancements and digital tools.
  • Collaborate with Engineering, Procurement, Logistics, Construction, and IT teams to gather requirements and provide reporting support.
  • Prepare analytical summaries and visual reports that communicate business insights to stakeholders.
  • Help identify trends, discrepancies, and improvement opportunities within operational data.
  • Contribute to process documentation, reporting standards, and best practices across the organization.

Education and Experience Requirements:
  • Bachelor's degree in Supply Chain, Business, Data Analytics, Information Systems, Engineering, Computer Science, or a related field.
  • 0-3 years of experience in data analysis, reporting, supply chain operations, project controls, or a related discipline.
  • Strong analytical, organizational, and problem-solving abilities.
  • Proficiency with Microsoft Excel.
  • Ability to work effectively in a collaborative team environment. Preferred Qualifications
  • Experience with Power BI, Tableau, or similar business intelligence and data visualization tools.
  • Basic knowledge of SQL, Power Query, or Power Pivot.
  • Exposure to enterprise systems such as Oracle EBS, TeamWorks, SiteSense, ETA, MAP, Unifier, or similar platforms.
  • Understanding of procurement, materials management, logistics, or supply chain business processes.
  • Interest in digital transformation, automation, AI-enabled analytics, and reporting technologies.

Required Knowledge and Skills:
  • Data analysis and reporting fundamentals.
  • Ability to collect, cleanse, validate, and interpret data.
  • Strong attention to detail and commitment to data accuracy.
  • Ability to create dashboards, charts, and KPI reports that communicate business performance clearly.
  • Understanding of visualization best practices and data storytelling concepts.
  • Ability to transform complex datasets into actionable insights for technical and non-technical audiences.
  • Experience maintaining recurring reports and dashboard content.
  • Strong written and verbal communication skills.
  • Ability to present findings in a clear and concise manner.
  • Effective collaboration across functional organizations and project teams.
  • Curiosity to investigate data issues and identify root causes.
  • Ability to recognize opportunities for process improvement and reporting automation.
  • Willingness to learn new technologies, systems, and business processes.
  • Strong organizational and time management skills.
  • Self-motivated with a continuous learning mindset.
  • Ability to adapt to changing priorities and business needs.
  • Customer-focused approach to supporting project and operational teams.

Total Rewards/Benefits:
For decades, Bechtel has worked to inspire the next generation of employees and beyond! Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive. Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth. Learn more at Bechtel Total Rewards
Diverse teams build the extraordinary:
As a global company, Bechtel has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences. This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent.
We are committed to being a company where every colleague feels that they belong-where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Click here to learn more about the people who power our legacy.
Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law. Applicants with a disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to acesstmt@bechtel.com

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