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Data Analyst Analyst Jobs in Spring, TX (NOW HIRING)

Gunvor

BI Data Analyst

Houston, TX

BI Data Analyst Contract Type: Permanent Time Type: Full time Scope of the role Reporting to the Global IT Project Manager, theBI Data Analyst is responsible for designing, delivering, and supporting ...

Corva

Jr. Completions Data Analyst

Houston, TX · On-site

The Jr. Data Analyst ensures that each well on Corva is ready for our customers to make real-time drilling and completions decisions and has a laser focus on accuracy and timeliness. The Jr. Analyst ...

H-GAC

Data Analyst - Air Quality Modeler

Houston, TX · On-site

KeyQualifications u Knowledge of data analysis and visualization software: MOVES and GIS u Knowledge of Air pollution analysis. u Knowledge of Conformity Determination Do you have... u Bachelor ...

Bedrock

Supply Chain Data Analyst

Houston, TX · On-site

Supply Chain Data Analyst Position Overview A fast-growing clean energy organization is expanding its team to support the continued development and scaling of innovative energy technologies. The ...

Collabera

Data Support Analyst

The Woodlands, TX

The Data analyst will be part of the support team for ALL questions related to "Tool" and "Data" within the EMIT integrated tool solution. Serve as single point of contact for IT Project tools and ...

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All JobsData Analyst Analyst JobsData Analyst Analyst Jobs in Spring, TX

Data Analyst Analyst information

See Spring, TX salary details

$31.1K

$75.7K

$124.5K

How much do data analyst analyst jobs pay per year?

As of Jul 20, 2026, the average yearly pay for data analyst analyst in Spring, TX is $75,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,200.00 and $88,800.00 per year, depending on experience, location, and employer.

What are the top 3 skills for a data analyst?

A data analyst needs strong analytical skills to interpret data accurately, proficiency in tools like Excel, SQL, and data visualization software, and good communication skills to present findings clearly. Technical skills in statistical analysis and data management are also essential for effective performance in the role.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and performing statistical analyses on large datasets to help organizations make informed decisions. They use tools such as Excel, SQL, and data visualization software to interpret data trends and present actionable insights to stakeholders. Data Analysts often work closely with other departments to identify business needs and support strategic planning. Their work is crucial in guiding business strategies, improving processes, and solving complex problems.

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 background in mathematics or a related field, often supported by a bachelor’s degree. Familiarity with tools such as SQL, Excel, Python or R, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are essential soft skills for interpreting data and sharing insights with stakeholders. These skills and qualities are vital for transforming complex data into actionable business decisions and driving organizational success.

Is a data analyst a high paying job?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, experienced analysts can earn higher wages, especially in sectors like finance or technology.

How do Data Analysts typically collaborate with other departments within an organization?

Data Analysts frequently work alongside teams from marketing, finance, product, and operations to understand their data needs and deliver actionable insights. They attend cross-functional meetings, clarify requirements, and translate business questions into analytical tasks. Strong communication skills are essential, as Data Analysts must explain technical findings in an accessible way to non-technical stakeholders. This collaborative environment not only broadens their understanding of the business but also helps them identify opportunities for greater impact and career advancement.

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 providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace them in the near future.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, data scientists, operations analysts, and financial analysts. Each type specializes in different areas such as interpreting business needs, developing predictive models, optimizing processes, or analyzing financial data, often using tools like Excel, SQL, and visualization software. The specific focus depends on the industry and organization’s data requirements.
What are popular job titles related to Data Analyst Analyst jobs in Spring, TX? For Data Analyst Analyst jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Analyst Analyst jobs in Spring, TX look for? The top searched job categories for Data Analyst Analyst jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Analyst Analyst jobs? Cities near Spring, TX with the most Data Analyst Analyst job openings:
Data Analyst Analyst jobs near you

BI Data Analyst

Gunvor

Houston, TX

Full-time

Posted 10 days ago

Job description

Job Title:

BI Data Analyst

Contract Type:

Permanent

Time Type:

Full time

Job Description:

Scope of the role

Reporting to the Global IT Project Manager, theBI Data Analyst is responsible for designing, delivering, and supporting enterprise-grade business intelligence and analytics solutions using Microsoft Power BI and the Power Platform, with astrong focus on supporting commodity trading (e.g. oil, metal, gas, power, LNG, derivatives), shipping and trade lifecycle activities (e.g. operation, risk management, contract, settlement, letter of credit, etc.). The role is critical for translating trading-specific data insights into actionable business decisions.

The role acts as asubject-matter expert (SME) for Power BI while also possessingstrong business analysis capabilities, enabling data-driven decision-making through high-quality dashboards, governed datasets, automation, and strong stakeholder engagement.

Main Responsibilities

Strategic Collaboration & Business Alignment

  • Partner with business users, senior management, and IT stakeholders to understand analytical needs and translate them into actionable BI solutions.
  • Work closely with commodity traders, risk managers, and business teams to ensure that the analytical solutions are aligned withmarket, trading and operation activities.
  • Gather, document, and validate business requirements; recommend analytical approaches aligned with business objectives.
  • Translatecomplexcommoditytrading business problems into technical designs that deliver clear insights and measurable business value.
  • Proactively engage with senior business stakeholders to identify areas of improvement in trading and shipping operations and support business development through data-driven insights.

Innovation & Product Development

  • Design, develop, and maintain Power BI datasets, reports, and dashboards to meet evolving business requirements.
  • Build anddeliverend-to-endanalytical and automation solutions usingPower BI, Power Apps, Power Automate, andAI Builder tailored to thecommodity trading and shipping business.
  • Build solution prototypes where needed to validate concepts and accelerate delivery.
  • Work closely with thedata architect and data engineering team to design anddeliveranalytics-readydatasets through data ingestion, cleansing, and transformation.
  • Document analytical logic, data models, and datasets to support advanced analytics and future enhancements

BI Adoption & Enablement

  • Act as thego-to expert for Power BI and data analytics-related user queries within thecommodity trading and shipping domain.
  • Conduct Power BIend-user training sessions and provide ongoing guidance and best-practice support.
  • PromoteeffectiveBI usage patterns and self-service analytics across the organization
  • Advocate for the importance ofdata governance and business rules specific to commodity trading and shipping to enhance theaccuracy and timeliness of trading decisions.

Operational Excellence

  • EnforceBI governance standards and best practices to maintaindata quality, consistency, and auditability, ensuring that data used in trading decisions ishighly reliable and actionable.
  • Monitor and optimize report performance and dataset refreshes to ensure stability and scalability.
  • Maintain clear technical documentation, release artifacts, and operational procedures

Profile

  • Bachelor's degree inInformation Systems, Computer Science, Data Analytics, Business Analytics, or a related field.
  • Microsoft certifications inPower BI / Power Platform / Fabric are highly preferred.
  • Strong understanding of commodity trading environments is required (oil, metal, gas, power, LNG,derivatives).In-depthknowledge of the trading lifecycle,includingmarkettrends, operation, PnL, positions,settlementsandriskmanagement, is essential.
  • Experience working withtrading data (e.g., PnL, risk, positions, settlements) andETRM systems is highly preferred.
  • Strong expertise in Microsoft Power Platform, withPower BI as a core specialization (SME level).
  • Excellent SQL skills and solid understanding ofdata modelling concepts.
  • Strongbusiness analysis skills, capable ofinterpreting trading requirements and translating them intotechnical deliverables.
  • Stronganalyticaland problem-solving skills with attention to detail.
  • Strongstakeholdermanagement skills, capable of exceeding stakeholder expectations, particularly in the context oftrading and business analysis.
  • Self-motivated, proactive, and well-organized, withstrongtime-managementskills.
  • Comfortable working under pressure in afast-paced, trading-focused environment.
  • Team player with a collaborative mindset.
  • Fluent in English (spoken and written). Any other language is an asset.

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