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Data Analyst Jobs in Spring, TX (NOW HIRING)

Data Analyst at a growth-oriented energy company * Leverage modern cloud and AI tools to drive data-driven decisions across Supply Trading, Refining, Logistics, Retail, and Finance operations on ...

Collect, analyze, and interpret operational data to support decision-making and process improvements. * Develop and maintain reports, dashboards, and key performance indicators (KPIs) to track ...

As a Data Analyst, you will be part of a collaborative team, working closely with editorial, research, and advisory teams to deliver accurate and insightful data. Your role will involve maintaining ...

VETERANS ARE ENCOURAGED TO APPLY Lonestar Electric Supply is seeking a highly analytical and detail-oriented Data Analyst to join our Operations team. Reporting directly to the Divisional Vice ...

The data analyst will analyze, design, create, maintain, update, manage and present Tableau dashboards and stories for the factory management teams. The analyst will also get cross-trained in Cicada ...

Collect, analyze, and interpret operational data to support decision-making and process improvements. * Develop and maintain reports, dashboards, and key performance indicators (KPIs) to track ...

A Data Analyst will leverage data engineering and BI development techniques to pipeline, automate, analyze, and visualize data * This role reports to the Continuous Improvement team and supports ...

The Data Analyst will leverage data engineering and BI development techniques to automate, analyze, and visualize data, supporting strategic decision-making for safety, production, and cost ...

Data Analyst

Spring, TX · On-site

$85K - $95K/yr

Data Analyst About PURIS: PURIS operates across North America as the largest independent trenchless rehabilitation provider with 1,200+ employees dedicated to building lasting infrastructure with ...

A Data Analyst will leverage data engineering and BI development techniques to pipeline, automate, analyze, and visualize data * This role reports to the Continuous Improvement team and supports ...

A Data Analyst will leverage data engineering and BI development techniques to pipeline, automate, analyze, and visualize data * This role reports to the Continuous Improvement team and supports ...

Data Analyst Location: Houston, TX-Onsite * Bachelor's degree in Computer Science, Information Systems, or related field. * 5+ years of experience in data warehouse platform and ETL pipeline ...

Medium to Advanced Data Analytical Skills including proficiency with advanced Excel, Power BI etc. are required Job Responsibilities Lead efforts to execute and/or oversee the following activities:

Lead Data Analyst DM Clinical Research, the largest privately-owned clinical research organization in the Houston area and one of the top fifty in the country, is looking for a Lead Data Analyst to ...

Location: 100% Remote Pay Rate: $37/hour Duration: 6/22/2026 - 12/31/2026 We are seeking a Data Analyst to support business teams by analyzing large datasets, identifying trends, and delivering ...

New

The Associate Data Analyst will support reporting initiatives, analyze business data, develop dashboards, and help improve operational processes through data-driven insights and automation.

New

PS Data Analyst Description - We are looking for a Data Analyst who applies developed subject matter expertise to solve both common and complex business challenges within established guidelines. This ...

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Data Analyst information

See Spring, TX salary details

$30.3K

$73.5K

$121K

How much do data analyst jobs pay per year?

As of Jun 11, 2026, the average yearly pay for data analyst in Spring, TX is $73,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,600.00 and $86,300.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including at 40, as the field values skills like statistical analysis, programming, and data visualization. Many professionals transition into data science or analytics later in their careers by gaining relevant certifications and experience, making age less of a barrier than skill set and continuous learning.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and communicating insights. The role of a data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace the role in the near future.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important in the job search process.

What job does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analyst jobs in Spring, TX? The most popular types of Data Analyst jobs in Spring, TX are:
What are popular job titles related to Data Analyst jobs in Spring, TX? For Data Analyst jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Analyst jobs in Spring, TX look for? The top searched job categories for Data Analyst jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Analyst jobs? Cities near Spring, TX with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Spring, TX as of June 2026, with employment types broken down into 7% Internship, 72% Full Time, and 21% Contract. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $73,541 per year, or $35.4 per hour.
Data Analyst

Data Analyst

Par Pacific

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Par Pacific rating

8.1

Company rating: 8.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

20th of 74 rated oil and gas companies


Job description

Data Analyst
Posting Start Date: 4/16/26
Job Location (Short): Houston, TX, USA, 77024
Data Analyst
The Opportunity
  • Data Analyst at a growth-oriented energy company
  • Leverage modern cloud and AI tools to drive data-driven decisions across Supply Trading, Refining, Logistics, Retail, and Finance operations on Google Cloud Platform.
  • Design and implement scalable data models and analytics solutions that deliver actionable insights across the enterprise.
  • Reporting to the Director, Enterprise Data and Applications, you will be responsible for building, maintaining, and governing analytical data solutions that serve operational, commercial, and financial teams across Par Pacific.

Key activities include:
  • Build and maintain data pipelines and analytical models on Google Cloud Platform (GCP), utilizing tools such as BigQuery, DataFusion, DataStream, and Cloud Storage.
  • Utilize data mining techniques and develop data models (dimensional, relational, or semantic) to support scalable and reusable analytics across business domains.
  • Support data integration and analytics from different ERP's (SAP BW/4HANA preferred), ensuring alignment between enterprise data and cloud-based analytical environments.
  • Partner with business leads to fulfill analytic and reporting requests as the domain data resource reference; assist in creating and supporting a self-service style analytics platform among stakeholders.
  • Develop standard or custom reports, queries, or dashboards that access and consolidate information from a variety of data sources and provide ongoing support for data users.
  • Write efficient, complex SQL queries to extract, transform, and analyze large datasets from multiple sources.
  • Support AI initiatives and apply statistical analysis and machine learning techniques to identify trends, forecast outputs, and support predictive initiatives.
  • Automate recurring reporting tasks and data workflows using Python.
  • Ensure data quality, consistency, and governance across all analytical outputs.
  • Present findings and recommendations to both technical and non-technical stakeholders in a clear and compelling manner.
  • Identify opportunities for process improvement and stay current on emerging data and AI tools and best practices.

Note: This description is intended to give you a general overview of the position. Additional responsibilities and opportunities may be identified based on current business needs.
Qualifications
To meet the basic qualifications for this role, you will have legal authorization to work permanently in the United States for any employer without requiring a visa transfer or visa sponsorship.
Additional qualifications include:
  • High School Diploma or equivalent required; Bachelor's degree in Data Science, Information Systems, Statistics, Engineering, Computer Science, or a related field preferred
  • Minimum 3 years' of hands-on experience in a data analyst or similar role, preferably within oil & gas, energy, retail, or a related industry, required
  • Experience building dashboards and visualizations in Looker and Power BI required
  • Working knowledge of Google Cloud Platform (GCP), particularly BigQuery, including data modeling and performance tuning, required
  • Proven experience in data modeling - including dimensional modeling (star/snowflake schemas), entity-relationship design, and semantic layer development - required
  • Strong proficiency in SQL for data querying and manipulation required
  • Experience with LookML for Looker dashboard development required
  • Proficiency with Python for data analysis and workflow automation required
  • A proven ability to use data, analytics, and business knowledge to solve business problems, including:
  • Translating complex datasets into clear, actionable narratives for non-technical audiences
  • Identifying trends, anomalies, and opportunities through exploratory analysis
  • Delivering analysis that directly supports operational or financial decision-making
  • Familiarity with supply trading, refining, logistics, retail, or finance data types (e.g., Retail data, SAP extracts, operations feeds) preferred
  • Experience with Apache Airflow or other data orchestration tools preferred
  • Experience with statistical tools and predictive analytics is highly preferred
  • GCP Professional Data Engineer or equivalent certification preferred

About Us
At Par Pacific, we own and operate market-leading energy and infrastructure businesses in logistically complex markets. We have built a team of downstream industry veterans and subject matter experts to lead our organization with an entrepreneurial spirit and a collaborative, problem solving approach. We bring our diverse strengths and motivation to complex markets where we seek out diamonds in the rough. As a nimble, growing organization, we actively pursue new opportunities with corporate financing know-how, respond to local market demands, and adapt to changing external environments.
More Good Reasons to Work for Par Pacific
Unique Culture
There is nothing ordinary about Par Pacific -- a niche player in the energy space. And there's certainly nothing ordinary about Par Pacific employees. We are driven, hardworking, entrepreneurial-minded professionals who love to win. If that describes you, you'll fit right in.
Location, Location, Location
Because Par Pacific operates in some of the most beautiful places throughout the country, our employees get to make these places their home and enrich their lives. The office where you'll work is in the CityCentre in Houston, Texas, located on the west side of Houston near I-10 and the Sam Houston Tollway. It's a vibrant area of the city with plenty of places for lunch or to wind down after work.
Opportunistic Growth Strategy
At Par Pacific, we look for operations with strong fundamentals and great employees who can move a business forward. Our management team has deep experience in the energy industry, as well as in leading mergers, acquisitions, and integrations of newly acquired companies.
Focused on the Future
We are an energy company that has recognized the imperative and embraced the opportunity to begin the transition from fossil fuels. We are developing products that help reduce greenhouse gas emissions.
Excellent Compensation and Benefits
In addition to a competitive salary, we offer a strong comprehensive benefits package that includes medical, dental and vision insurance, a robust allotment of paid time off, a 401(k) with company match, retirement savings plans, educational reimbursement, and more. Full-time employees (and their families) are offered medical (with prescription coverage), dental, vision, voluntary critical illness, accident, life/AD&D insurance, Flexible Spending Account and Employee Assistance Program. Employees can purchase company stock at discounted prices through the Employee Stock Purchase Program.
Our Headquarters
Par Pacific Holdings, Inc., based in Houston, Texas, owns, manages and maintains interests in energy and infrastructure businesses. We are a growing energy company focused on renewable and conventional fuels in the Western United States. Par Pacific also owns 46% of Laramie Energy, LLC, a natural gas production company with operations and assets concentrated in Western Colorado. Our common stock is publicly traded on the NYSE under the trading symbol "PARR".
Our Refineries and Logistics Operations
We own and operate refineries in Hawaii, Montana, Washington, and Wyoming, with total operating throughput capacity of over 219 Mbpd. Par Pacific owns and operates one of the largest energy networks in Hawaii with 94,000 bpd of operating refining capacity, a logistics system supplying the major islands of the state and 90 retail locations. In the Pacific Northwest and the Rockies, Par Pacific owns and operates 124,000 bpd of combined refining capacity and related multimodal logistics systems.
Our Retail Operations
We own and operate over 90 retail locations in Hawaii under the Hele and 76 brands and over 30 retail locations in Washington and Idaho under the nomnom brand.
Par Pacific Is an Equal Opportunity Employer
Par Pacific prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status,genetic information or any other status protected by applicable law.
Note: Par Pacific will not accept calls or unsolicited resumes from third-party recruiters. All candidates are required to apply through this web posting.