1

Data Analysis Manager Jobs in Texas (NOW HIRING)

... data analytics, eDelivery and print & fulfillment services. Summary Owns the strategy, roadmap, and lifecycle of one or more digital products or product lines. Partners closely with engineering ...

... data infrastructure to improve visibility and decision-making Provide financial insight and ... management reporting, variance analysis, and executive-level presentations Ability to analyze ...

... data infrastructure to improve visibility and decision-making • Provide financial insight and ... analysis, and large dataset management • Experience preparing management reporting, variance ...

Manager, Data Analytics

Dallas, TX · Hybrid

$111K - $145K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our ...

Manager, Data Analytics

Dallas, TX · On-site

$111K - $145K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our ...

Works to develop detailed reports and conclusions for business, finance and investment management based on data summaries. Recognizes areas of opportunity and risk through data analysis and modelling ...

FP&A Mgr

Houston, TX

$100K - $132K/yr

... query/data management tools helpful (SQL, Tableau, Power BI, etc.) · Strong business systems ... analyzing cost drivers, annual financial reporting, operations analysis, financial modeling ...

The Corporate FP&A Manager is a strategic business partner who leads the financial planning ... Lead the monthly financial forecasting and close cycle, maintaining data integrity and timeliness ...

FP&A Mgr

Houston, TX · On-site

$100K - $132K/yr

... query/data management tools helpful (SQL, Tableau, Power BI, etc.) • Strong business systems ... analysis • Comfort with executing ad hoc projects such as analyzing cost drivers, annual ...

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Data Analysis : Analyze large datasets to identify trends, patterns, and insights that support project management, operational efficiency, and strategic initiatives. * Reporting and Visualization

FP&A Manager

Madisonville, TX · On-site

$87K - $114K/yr

FP&A Manager / Senior Financial Analyst - Texas Pride Trailers Location: Madisonville, Texas (On ... Translate complex financial data into clear, actionable insights for non-financial stakeholders.

Data Analyst

Austin, TX · On-site

$40 - $50/hr

Perform complex ad hoc and recurring data analysis to support business and management requests. * Design, develop, and maintain interactive dashboards using Tableau (preferred) or similar BI tools.

Data Analyst

Dallas, TX · On-site

$30 - $40/hr

Experience working with data analysis, reporting, and business intelligence tools. * Strong ... Strong attention to detail with the ability to manage multiple priorities. Additional Details * On ...

Showing results 41-60

Data Analysis Manager information

See Texas salary details

$21K

$82.6K

$134.2K

How much do data analysis manager jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data analysis manager in Texas is $82,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $101,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data analysis manager?

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

How does a data analysis manager typically collaborate with other departments within an organization?

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

What does a data analysis manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

What is the difference between Data Analysis Manager vs Data Analyst?

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

What are the most commonly searched types of Data Analysis jobs in Texas? The most popular types of Data Analysis jobs in Texas are:
What cities in Texas are hiring for Data Analysis Manager jobs? Cities in Texas with the most Data Analysis Manager job openings:
Infographic showing various Data Analysis Manager job openings in Texas as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $82,604 per year, or $39.7 per hour.

Full-time

Posted 9 days ago


Job description

About Us
O'Neil Digital Solutions (ODS) is a leading Customer Communication (CCM) and Customer Experience (CX) services company that provides omni-channel output and delivery to major U.S. industries. ODS offers proven technical capabilities that help companies communicate effectively with their customers, including our industry-leading, SaaS platform that provides AI-driven composition solutions, campaign management, data analytics, eDelivery and print & fulfillment services.
Summary
Owns the strategy, roadmap, and lifecycle of one or more digital products or product lines. Partners closely with engineering, design, marketing, analytics, customer success, and business stakeholders to define, develop, launch, and continuously improve products that deliver exceptional customer experiences and measurable business value. Uses customer insights, market research, and performance data to prioritize product investments and drive innovation throughout the product lifecycle.
Duties and Responsibilities
• Develop and execute the product strategy, roadmap, and delivery plans for assigned products or product lines.
• Translate prioritized business objectives, customer needs and market opportunities into Product requirements, supporting the development of user stories and refined backlogs.
• Collaborate with engineering, UX/design, marketing, analytics, customer success, and other cross-functional teams to successfully deliver new products and enhancements.
• Serve as the voice of the customer by gathering feedback, understanding pain points, and identifying opportunities to improve the customer experience.
• Define product success metrics and analyze performance data to measure outcomes, identify trends, and prioritize enhancements.
• Manage the complete product lifecycle from concept through launch and ongoing optimization.
• Partner with UX designers to develop user workflows, prototypes, and usability testing plans that improve product usability and customer satisfaction.
• Drive product innovation by evaluating new ideas, validating concepts through prototyping and user testing, and recommending new capabilities.
• Balance customer needs, business priorities, and technical constraints when making product decisions and prioritization trade-offs.
• Agile Product Development practices (such as Program Increment (PI) planning) while working closely with engineering teams to deliver high-quality solutions.
• Establish feedback mechanisms to continuously monitor product performance and identify opportunities for ongoing improvement.
• Perform other duties as assigned
Qualifications & Requirements
Required Education, Experience, Certification/Licensure
• Bachelor's degree or equivalent experience.
• 3-5 years of product management experience supporting digital products.
• Experience working with cross-functional teams throughout the software development lifecycle.
• Experience managing products using Agile methodologies.
Preferred Qualifications• Experience managing web-based and/or mobile applications.
• Familiarity with product analytics and experimentation tools.
• Experience creating product requirements, user stories, and acceptance criteria.
• Certified Scrum Product Owner (CSPO) or similar certification preferred.
• Experience with AI-enabled products or machine learning technologies is a plus.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs)
• Strong understanding of product management principles and product lifecycle management.
• Ability to translate customer needs and business objectives into actionable product requirements.
• Strong analytical and problem-solving skills with the ability to make data-driven decisions.
• Knowledge of user experience design principles and customer research techniques.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to prioritize competing initiatives and manage multiple projects simultaneously.
• Familiarity with Agile/Scrum development methodologies.
• Demonstrated ability to influence cross-functional teams without direct authority.
• Commitment to continuous learning, innovation, and delivering high-quality customer experiences.
Working Conditions
Working Conditions
Must be able to perform the essential job duties. Work may be performed in an office, warehouse and/or manufacturing environment. Requires the ability to perform the following activities for the majority of the day: stand for extended periods of time, walk, bend, stoop, kneel, crouch or climb. In addition requires the ability to lift and/or push up to 50 pounds. May be exposed to noise and be required to wear hearing protection for the duration of the shift.
Equal Opportunity Employer
O'Neil Digital Solutions is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.