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Data Analyst Computer Science Jobs in Conroe, TX

Bachelor's degree in Supply Chain, Data Analytics, Business, Finance, Engineering, Computer Science, or a related field. * 3-7 years of experience in data analytics, business intelligence, supply ...

Master's degree in Data Science, Computer Science, Business Analytics or closely related field * 1 year of experience as a Human Resources Analyst or HR Data Analyst * The Master's degree program ...

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

Gas network disruption analysis * Create data visualizations for both technical and non-technical ... Master's/PhD in Computer Science, Data Science, or equivalent experience * 4-7 years of industry ...

Analyst

Houston, TX ยท On-site

Bachelor's degree in data science, Business Analytics, Computer Science, Engineering, Information Systems, Statistics, Economics, or a related field * Experience: 1-3 years of experience in analytics ...

AI and Data Science Engineer II

Houston, TX ยท On-site

$109K - $131K/yr

Performing exploratory data analysis to identify relationships, opportunities to influence outcomes ... Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer ...

Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Operations Research, or a related field with a specialization in data science/analytics (degree must be from an accredited ...

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Data Analyst Computer Science information

See Conroe, TX salary details

$29.1K

$70.8K

$116.4K

How much do data analyst computer science jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data analyst computer science in Conroe, TX is $70,751.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $83,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.
What are popular job titles related to Data Analyst Computer Science jobs in Conroe, TX? For Data Analyst Computer Science jobs in Conroe, TX, the most frequently searched job titles are:
What job categories do people searching Data Analyst Computer Science jobs in Conroe, TX look for? The top searched job categories for Data Analyst Computer Science jobs in Conroe, TX are:
What cities near Conroe, TX are hiring for Data Analyst Computer Science jobs? Cities near Conroe, TX with the most Data Analyst Computer Science job openings:
Supply Chain Data Analyst

Supply Chain Data Analyst

Bedrock

Houston, TX โ€ข On-site

Full-time

Posted 28 days ago


Job description

Role: 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 Supply Chain Data Analyst will play a critical role in enabling data-driven decision-making across the supply chain organization by owning analytics, dashboard development, reporting, and data support initiatives.
This role requires a hands-on analyst who can independently build, maintain, and enhance reporting solutions while partnering closely with Supply Chain leadership, IT, third-party developers, and business stakeholders. The position sits at the intersection of Supply Chain, IT, and business operations and demands strong analytical capability, data visualization skills, and technical fluency in reporting systems and data integration.
Key Responsibilities Data Analysis & Insights
  • Analyze large, complex datasets from multiple internal and external systems to identify trends, risks, and opportunities across the supply chain.
  • Translate data into actionable insights supporting cost reduction, operational efficiency, category management, and strategic sourcing initiatives.
  • Review invoice, purchase order, supplier, catalog, and spend data to improve visibility into purchasing patterns and category performance.
  • Identify top spend areas, supplier concentration, category trends, and other findings requiring leadership attention.
  • Partner with Supply Chain leadership to define KPIs, reporting priorities, and performance frameworks.
Dashboard Development & Visualization
  • Design, develop, and maintain executive-level dashboards and reports using Power BI and other visualization tools as needed.
  • Create clear, intuitive, and visually compelling dashboards for both technical and non-technical audiences.
  • Continuously improve dashboard usability, performance, data quality, and business relevance.
  • Support executive summaries, trend analysis, scorecards, and leadership reporting materials.
Data Integration & Reporting Structure
  • Support data integration across multiple supply chain and operational systems (e.g., invoice, purchasing, and order management platforms).
  • Collaborate with Supply Chain leadership, IT, and third-party developers to support reporting connectivity, including API-based integrations where required.
  • Help define reporting requirements, field mappings, category hierarchies, and logic to ensure accurate and sustainable dashboards.
  • Contribute to scalable reporting processes that improve consistency, visibility, and efficiency across the supply chain function.
Automation & Process Improvement
  • Automate recurring reports and data workflows to reduce manual effort and improve efficiency.
  • Identify opportunities to streamline data collection, validation, categorization, and reporting.
  • Enhance reporting standards to ensure focus on decision-relevant insights.
  • Support continuous improvement of reporting logic, dashboard structure, and data management practices.
Cross-Functional Collaboration
  • Collaborate with IT, Finance, Operations, and Supply Chain teams to align analytics with business needs.
  • Act as a liaison between business users and technical resources to ensure reporting solutions meet operational requirements.
  • Support category managers and supply chain leadership with analysis, presentations, and executive-ready deliverables.
Emerging Tools & Advanced Analytics
  • Leverage automation, AI tools, and modern analytics technologies to improve reporting efficiency and analytical output.
  • Stay current on emerging analytics capabilities and recommend practical applications.
  • Apply AI-enabled tools thoughtfully to accelerate analysis, summarize findings, and enhance reporting workflows.
Required Qualifications
  • Bachelor's degree in Supply Chain, Data Analytics, Business, Finance, Engineering, Computer Science, or a related field.
  • 3-7 years of experience in data analytics, business intelligence, supply chain, procurement, operations, or finance analysis roles.
  • Advanced Excel skills (formulas, PivotTables, lookups, structured reporting, charting).
  • Strong PowerPoint skills with experience creating executive-ready presentations.
  • Strong experience with Power BI or similar dashboarding tools.
  • Experience analyzing large datasets, including spend, supplier, PO, and invoice data.
  • Ability to support reporting across multiple systems and data sources.
  • Strong analytical skills with attention to data accuracy and reporting reliability.
  • Ability to work independently, manage multiple priorities, and operate in a fast-paced environment.
  • Proven ability to partner cross-functionally with both technical and business stakeholders.
Preferred Qualifications
  • Experience supporting procurement, sourcing, logistics, or supply chain teams.
  • Experience with operational or procurement platforms (e.g., invoice or order management systems).
  • Familiarity with APIs and system-based data integrations.
  • Exposure to SQL, Python, or advanced analytics tools (nice to have).
  • Experience building KPI dashboards, scorecards, and leadership-level performance reporting.
  • Familiarity with spend taxonomy, supplier master data, and reporting governance.
  • Comfort using AI tools (e.g., generative AI or analytics copilots) to support reporting and workflow efficiency.
Location This role follows a hybrid work model with in-office collaboration required as needed. The corporate office is located in downtown Houston.
With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.