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Operations Analytics Jobs in Houston, TX (NOW HIRING)

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

BUSINESS OPERATIONS ANALYST Location: Houston, TX Job Type: Full-Time POSITION SUMMARY The Business Operations Analyst supports the management of point-of-sale (POS) assets, including branded coolers ...

Operations Analyst I

Beach City, TX ยท On-site

$31 - $32/hr

Role Summary The Operations Analyst is responsible for collecting, monitoring, and analyzing financial and operational data to deliver actionable management insights. This role involves tracking ...

The FX Operations Analyst confirms foreign exchange trades, manages settlements, and ensures timely payments. This position provides candidates with experience in financial operations, including ...

Bachelor's degree in Science, Engineering, Information Technology, Data Analytics, or a related technical discipline. * Minimum 2 years of relevant technical, product support, operations, or data ...

Bachelor's degree in Science, Engineering, Information Technology, Data Analytics, or a related technical discipline. * Minimum 2 years of relevant technical, product support, operations, or data ...

Showing results 21-40

Operations Analytics information

See Houston, TX salary details

$39.2K

$91.1K

$125.6K

How much do operations analytics jobs pay per year?

As of Sep 7, 2026, the average yearly pay for operations analytics in Houston, TX is $91,055.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,900.00 and $104,600.00 per year, depending on experience, location, and employer.

What is the difference between Operations Analytics vs Data Analyst?

AspectOperations AnalyticsData Analyst
Required CredentialsBachelor's in Business, Analytics, or related fields; often certifications in analytics toolsBachelor's in Statistics, Mathematics, or related fields; certifications in data tools beneficial
Work EnvironmentBusiness operations, supply chain, manufacturing settingsOffice environments, data-focused teams across industries
Employer & Industry UsageManufacturing, logistics, retail, healthcareFinance, marketing, technology, healthcare
Common Search & ComparisonFocuses on optimizing operations through data-driven insightsAnalyzes data to identify trends and support decision-making

Operations Analytics and Data Analysts both work with data, but Operations Analytics specializes in improving business processes and operational efficiency, often within specific industries like manufacturing or logistics. Data Analysts have a broader focus on analyzing data sets across various functions. Understanding these differences helps in choosing the right career path or job role.

Are operations analysts in high demand?

Operations analysts are in high demand across various industries due to their role in improving efficiency, reducing costs, and supporting data-driven decision-making. Employers seek candidates with skills in data analysis, proficiency in tools like Excel and SQL, and the ability to interpret complex data sets, making this a growing field with strong job prospects.

How much do operations analysts get paid?

Operations analysts typically earn a median annual salary of around $65,000 to $75,000, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can earn over $90,000 annually.

What does an operations analyst do?

An operations analyst evaluates and improves business processes by analyzing data, identifying inefficiencies, and recommending solutions. They often use tools like Excel, SQL, or data visualization software and work closely with management to optimize operational performance. Strong analytical skills and attention to detail are essential for this role.

What are the most commonly searched types of Operations Analytics jobs in Houston, TX?

The most popular types of Operations Analytics jobs in Houston, TX are:

What job categories do people searching Operations Analytics jobs in Houston, TX look for?

The top searched job categories for Operations Analytics jobs in Houston, TX are:

What cities near Houston, TX are hiring for Operations Analytics jobs?

Cities near Houston, TX with the most Operations Analytics job openings:

Infographic showing various Operations Analytics job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $91,055 per year, or $43.8 per hour.

Technical Program Manager, Modernization

Tiger Analytics Inc.

Houston, TX โ€ข On-site

$123K - $159K/yr

Full-time

Re-posted 25 days ago


Key responsibilities

  • Lead end-to-end program execution across multiple technical and business workstreams.

  • Drive governance, planning, prioritization, risk management, and stakeholder communication for enterprise modernization initiatives.

  • Oversee cloud and data modernization initiatives including analytics enablement, operational reporting, forecasting, and visualization solutions.


Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognised our business value and leadership. We solve complex analytical problems at scale and have built a reputation for delivering valuable data-driven solutions across various industries, including Pharma and Life Sciences.

We are seeking a senior-level Technical Program Manager to lead a large-scale operational modernization and technology transformation initiative. This role will focus on driving execution, governance, and coordination across multiple technical and operational workstreams related to cloud modernization, data platforms, analytics enablement, and operational systems transformation.

The company is currently evolving from a more traditional BI-heavy and siloed reporting environment into a modern AWS-centric data ecosystem. Their broader technology direction includes Databricks, AWS S3, Redshift, Athena, Power BI, Apache Iceberg, and more modern streaming and analytics capabilities. AWS is heavily involved in the initiative alongside engineering/data teams.

The ideal candidate will have strong experience managing enterprise-scale programs involving cloud technologies, analytics, AI/ML initiatives, and cross-functional stakeholder management in complex operational environments.

RESPONSIBILITIES:

  • Lead end-to-end program execution across multiple technical and business workstreams.
  • Drive governance, planning, prioritization, risk management, and stakeholder communication for enterprise modernization initiatives.
  • Coordinate with internal engineering, data, analytics, operations, and executive leadership teams.
  • Manage collaboration across external vendors, consulting partners, cloud providers, and internal delivery teams.
  • Oversee cloud and data modernization initiatives including analytics enablement, operational reporting, forecasting, and visualization solutions.
  • Support modernization of enterprise data ecosystems leveraging cloud technologies and modern analytics platforms.
  • Drive delivery of operational analytics, AI/ML, and business intelligence initiatives aligned with business objectives.
  • Manage multi-workstream technical programs involving infrastructure modernization, operational systems, and enterprise analytics platforms.
  • Track program milestones, budgets, dependencies, risks, and implementation timelines.
  • Facilitate executive-level reporting, governance reviews, and strategic planning discussions.
  • Ensure successful execution within highly operational, fast-paced, and cross-functional enterprise environments.
  • Preferred experience working in operationally complex industries such as energy, utilities, infrastructure, manufacturing, transportation, or supply chain environments.
  • Experience collaborating with cloud providers, enterprise consulting partners, and distributed engineering/data teams.
  • Exposure to operational analytics, forecasting, scheduling, enterprise planning, and reporting systems is highly preferred.

Requirements

  • 10+ years of experience in Technical Program Management, Project Portfolio Management, or Enterprise Program Delivery.
  • Strong experience leading enterprise cloud transformation or data modernization programs.
  • Proven expertise managing large-scale, multi-workstream technical initiatives.
  • Experience driving AI/ML, analytics, business intelligence, or data engineering programs.
  • Strong stakeholder management and executive communication skills.
  • Experience managing consulting-led, vendor-heavy, or outsourced delivery engagements.
  • Ability to work effectively across engineering, operations, analytics, and leadership teams.
  • Experience with Agile, Waterfall, or hybrid project delivery methodologies.
  • Preferred experience with modern cloud and analytics technologies including AWS, Databricks, Amazon S3, Redshift, Athena, Power BI, Apache Iceberg, and modern data platform technologies.
  • Familiarity with cloud engineering, data engineering, analytics platforms, and enterprise modernization initiatives is highly preferred.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.