1

Data Analyst Computer Science Jobs in Conroe, TX

Be Seen First

Bachelor's degree in Information Technology, Computer Information Systems, Finance, Accounting ... Experience with data analysis and process improvement initiatives.

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 ...

Bachelor's degree in Finance, Economics, Data Analytics, Computer Science, or related field * Minimum 3 years of experience in FP&A, finance, or analytics roles * Hands-on experience with financial ...

... analytics, and cloud software platforms. You will develop and productionize advanced AI/ML models ... Bachelor's in Computer Science, Data Science, Statistics, Engineering, Physics, Applied Mathematics ...

Bachelor's degree in computer science, statistics, applied math, data science, or a related field * 3-7 years of experience in data science, advanced analytics, or a related role * Demonstrated ...

Bachelor's degree in computer science, statistics, applied math, data science, or a related field * 3-7 years of experience in data science, advanced analytics, or a related role * Demonstrated ...

next page

Showing results 1-20

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 Jul 14, 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.

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

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.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and having programming skills in languages such as Python or R is highly beneficial.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. In general, they have higher-than-average starting pay compared to many entry-level roles, especially when skilled in tools like Excel, SQL, and data visualization software. Advanced skills or certifications can lead to higher compensation.

Will AI replace a data analyst?

AI 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, domain knowledge, and communication, which are difficult for AI to fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.
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 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:

Professional - Data Analyst V(Senior Data Governance Specialist)

Sparc Technology Services Inc

Houston, TX โ€ข On-site

$60 - $65/hr

Full-time

Re-posted 11 days ago


Job description

Job Title: Professional - Data Analyst V(Senior Data Governance Specialist)
Location: Houston Downtown, TX
Working type: Hybrid; Monday-Thursday in person; Fridays remote
Duration: 12 months,
Job Description:
Senior Data Governance Specialist
Summary
The Senior Data Governance Specialist is responsible for establishing, driving, and maturing the enterprise data governance framework. This role ensures the organizations data is trustworthy, compliant, secure, and aligned to business strategy. The Senior Specialist provides cross pillar leadership across metadata, lineage, DQ, access governance, policies, MDM, compliance, and change management initiatives, working with senior business partners, technical teams, Legal/Security, and audit stakeholders.
Job Responsibilities:
Data Governance Strategy & Framework
Develop and maintain the enterprise DG strategy, policies, standards, and processes.
Define and implement scalable operating models (centralized, federated, hybrid).
Lead DG KPI development, maturity assessments, and continuous improvement cycles.
Data Quality Management
Define enterprise DQ dimensions, rules, controls, and remediation workflows.
Drive organization wide identification and governance of Critical Data Elements.
Oversee issue triage, RCA, and remediation with clear business/technical ownership.
Metadata, Lineage & Catalog Management
Lead enterprise adoption of metadata standards and quality expectations.
Oversee Atlan catalog governance (domains, glossary, lineage, personas/policies).
Partner with architecture and engineering to expand automated and governed manual lineage.
Data Ownership & Stewardship
Establish and operationalize Data Owner, Steward, Custodian roles and accountability models.
Lead the Data Governance Council and steward communities; ensure alignment on definitions, usage, and controls.
Policy, Controls & Compliance
Ensure compliance with internal DG policies and external regulations (GDPR/CCPA/SOX/HIPAA depending on industry).
Partner with Legal, Security, and Compliance to define and maintain privacy, access, retention, and risk controls.
Lead audit evidence collection and regulatory readiness for data related controls.
Master & Reference Data Governance
Drive governance for master data domains in partnership with MDM/architecture teams.
Oversee enterprise reference data lifecycle, definitions, and approved values.
Data Access & Security Governance
Define and govern classification schemes, access policies, and protection controls.
Work with Security/IT on RBAC, entitlement reviews, and data protection validation.
Technology & Tools Enablement
Evaluate and implement DG technology stack: Atlan, Monte Carlo, MDM tools, workflow automation, ITSM integrations.
Lead Atlan/MC enablement, ensuring enterprise adoption of metadata, lineage, DQ, and certification workflows.
Integrate metadata/QoS signals into BI dashboards; champion automation via APIs.
Stakeholder Engagement & Change Management
Serve as a primary ambassador for DG, translating technical governance concepts into business impact.
Lead education sessions, awareness campaigns, onboarding for DG roles.
Influence senior stakeholders and drive organization wide adoption.
Skills & Qualifications
Bachelor's degree in Computer Science, Data Management, MIS, or related field.
10+ years relevant experience in data governance, data management, analytics engineering, or data quality.
Deep expertise in metadata, master data, data quality, lineage, and regulatory compliance.
Hands on experience with Atlan and Monte Carlo or comparable platforms is strongly preferred.
Strong SQL + BI background, with experience in integrating catalog/observability data into dashboards.
Proven stakeholder leadership with ability to influence senior leaders across business, engineering, Legal, Security, and Compliance.
Excellent communication and ability to simplify complex data concepts.

Flexible work from home options available.