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Data Analysis Manager Jobs in Texas (NOW HIRING)

BMS Data Analysis Engineer

Houston, TX · On-site

$109K - $131K/yr

... management. Qualifications : Required : • Master's or PhD in Computer Science, Mathematics, Engineering, or a related field. • 2-5 years of experience in data analysis, preferably in battery ...

... analysis tools and databases. Data Analyst Responsibilities: Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data ...

... analysis tools and databases. Data Analyst Responsibilities: Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data ...

... analysis tools and databases. Data Analyst Responsibilities: Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data ...

... analysis tools and databases. Data Analyst Responsibilities: Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data ...

... analysis tools and databases. Data Analyst Responsibilities: Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data ...

... analysis tools and databases. Data Analyst Responsibilities: Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data ...

... analysis tools and databases. Data Analyst Responsibilities: Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data ...

Participate in continuous improvement initiatives for battery lifecycle management. Qualifications ... data analysis, preferably in battery systems, energy storage, or electric vehicles. * Strong ...

The Role Farther's Finance team sits at the intersection of strategy and execution -- turning data into decisions that shape how we grow. As our FP&A Manager, you'll own the financial planning engine ...

Financial Planning & Analysis Manager

Irving, TX · On-site

$101K - $133K/yr

The Role Farther's Finance team sits at the intersection of strategy and execution -- turning data into decisions that shape how we grow. As our FP&A Manager, you'll own the financial planning engine ...

Financial Planning & Analysis Manager

Irving, TX · On-site +1

$101K - $133K/yr

  • Medical

  • Retirement

  • PTO

The Role Farther's Finance team sits at the intersection of strategy and execution - turning data into decisions that shape how we grow. As our FP&A Manager, you'll own the financial planning engine ...

Value Analysis Manager

Irving, TX · On-site

$88K - $155K/yr

Analyze and integrate supply chain, clinical, financial, quality, and utilization data to identify ... Strong project management, facilitation, and organizational skills. * Excellent written, verbal ...

Showing results 21-40

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 19, 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 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 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 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 August 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $82,604 per year, or $39.7 per hour.

BMS Data Analysis Engineer

Microvast

Houston, TX • On-site

$109K - $131K/yr

Full-time

Re-posted 18 days ago


Job description

Job Summary:
Microvast is a technology innovator that designs, develops and manufactures lithium-ion battery solutions. They are seeking a highly skilled BMS Data Analysis Engineer to join their team, responsible for designing, developing, and optimizing advanced algorithms to solve complex problems in battery systems.
Responsibilities:
• Collect, clean, and organize data from battery testing (cell/module/pack), BMS logs and field operating data.
• Develop and maintain scalable data pipelines and dashboards for continuous monitoring.
• Ensure data quality, traceability, and consistency across various sources.
• Perform statistical analysis and trend evaluation to identify anomalies, degradation patterns, and performance deviations.
• Collaborate with system engineers and test engineers to define data requirements for validation and verification.
• Conduct root-cause analysis of battery failures, safety events, and performance issues based on battery data.
• Provide data-driven recommendations to optimize test plans, test coverage, and acceptance criteria.
• Document findings, methodology, and tools in a structured and reproducible way.
• Work with BMS developers to validate algorithms and improve control strategies.
• Support field service, warranty, and quality teams with in-depth data analysis.
• Participate in continuous improvement initiatives for battery lifecycle management.
Qualifications:
Required:
• Master’s or PhD in Computer Science, Mathematics, Engineering, or a related field.
• 2–5 years of experience in data analysis, preferably in battery systems, energy storage, or electric vehicles.
• Strong proficiency in Python, SQL, and common data science libraries (numpy, pandas, scipy, scikit-learn).
• Hands-on experience with data visualization tools (e.g., Power BI, Tableau, matplotlib, Plotly).
• Good understanding of lithium-ion battery behavior, including SoC/SoH calculation, degradation, thermal behavior, and charging/discharging characteristics.
• Proficiency in programming languages such as Python, C++, or similar.
• Solid understanding of mathematical and statistical modeling techniques.
• Experience with large-scale data processing and optimization techniques.
• Ability to work collaboratively in a team environment and communicate technical concepts effectively.
• Strong problem-solving skills and the ability to think critically under challenging scenarios.
• Creative thinking skills & Strong analytical skills
• Ability to communicate well with other members of the development team
Preferred:
• Hands-on experience with machine learning frameworks is a plus.
• Familiarity with cloud computing and distributed computing frameworks
Company:
Microvast designs, develops, and manufactures charging, battery control systems for electric vehicles with superior safety. Founded in 2006, the company is headquartered in Stafford, USA, with a team of 1001-5000 employees. The company is currently Late Stage.