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Data And Analytics Manager Jobs in Spring, TX (NOW HIRING)

Seadrill

Data Analytics Manager 90150

Houston, TX · On-site

This role owns the analytics platform roadmap and governs data and digital-innovation delivery executed largely through outsourced MSP vendor and external resources. The Manager partners closely with ...

Deloitte

M&A Data Analytics Manager - LSHC

Houston, TX · On-site

You will work as part of cross-functional teams providing financial, accounting, operational and commercial due diligence, bringing your skills to the M&A deal to manage and analyze the data in ...

Ra

Marketing Analytics Manager

Houston, TX · On-site

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools. Who is good in management or leadership role. Who is good in providing external ...

Deloitte

M&A Data Analytics Manager

Houston, TX

You will work as part of cross-functional teams providing financial, accounting, operational and commercial due diligence, bringing your skills to the M&A deal to manage and analyze the data in ...

McKesson

Manager, Data Analytics

The Woodlands, TX · On-site

Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change ...

MCKESSON

Manager, Data Analytics

The Woodlands, TX · On-site

Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change ...

McKesson

Manager, Data Analytics

The Woodlands, TX · On-site

Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change ...

Smartbridge

Data Analytics and AI Manager

Houston, TX · On-site

Data Analytics and AI Manager - Full-Time, Hybrid (Houston, TX) Location: Houston, TX (West Sam Houston Parkway South, Energy Corridor area) Employment Type: Full-Time, Hybrid About Smartbridge:

Smartbridge

Data Analytics and AI Manager

Houston, TX · On-site

Data Analytics and AI Manager - Full-Time, Hybrid (Houston, TX) Location: Houston, TX (West Sam Houston Parkway South, Energy Corridor area) Employment Type: Full-Time, Hybrid About Smartbridge:

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All JobsData And Analytics JobsData And Analytics Manager JobsData And Analytics Manager Jobs in Spring, TX

Data And Analytics Manager information

See Spring, TX salary details

$27.6K

$86.4K

$153.1K

How much do data and analytics manager jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data and analytics manager in Spring, TX is $86,448.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $111,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data and Analytics Manager, and why are they important?

To thrive as a Data and Analytics Manager, you need expertise in data analysis, statistical modeling, and business intelligence, often supported by a degree in a quantitative field and experience in data management. Proficiency with tools like SQL, Python, Tableau, and data warehousing systems, as well as relevant certifications such as Certified Analytics Professional (CAP), is highly valuable. Strong leadership, communication, and problem-solving skills set top performers apart by enabling them to translate complex data insights into actionable business strategies. These skills are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

What are top 3 soft skills for a data analyst?

For a Data and Analytics Manager, the top three soft skills for a data analyst are communication, critical thinking, and collaboration. These skills enable analysts to interpret data effectively, present insights clearly, and work well within teams to support decision-making. Strong interpersonal skills and adaptability are also valuable in dynamic data environments.

What are some common challenges faced by Data and Analytics Managers when implementing data-driven initiatives in organizations?

Data and Analytics Managers often encounter challenges such as integrating data from disparate sources, ensuring data quality and governance, and aligning data strategies with business goals. They must also navigate organizational resistance to change, educate stakeholders on the value of analytics, and stay updated on rapidly evolving technologies. Successfully overcoming these challenges requires strong communication, project management skills, and a proactive approach to stakeholder engagement.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a Data and Analytics Manager involves interpreting complex data, making strategic decisions, and communicating insights, which require human judgment and domain expertise. AI is a complement to data analysts, enhancing productivity rather than fully replacing them. Skills in data visualization, critical thinking, and understanding business context remain essential for the role.

What does a data analytics manager do?

A data analytics manager oversees the collection, analysis, and interpretation of data to support business decision-making. They lead data teams, develop analytics strategies, and use tools like SQL, Python, or Tableau to generate insights that improve organizational performance.

What is the highest paying job in data analytics?

The highest paying roles in data analytics typically include Chief Data Officer, Data Science Director, and Senior Data Scientist, often requiring advanced skills in machine learning, big data tools, and leadership. These positions can offer six-figure salaries, especially in large organizations or industries like finance and technology.

What are Data and Analytics Managers?

Data and Analytics Managers are professionals responsible for overseeing an organization's data strategy, including data collection, storage, analysis, and reporting. They manage teams of data analysts and data scientists, ensuring data quality and developing insights that inform business decisions. Their role often involves collaborating with other departments to identify data needs, selecting appropriate tools and technologies, and ensuring compliance with data governance policies. Data and Analytics Managers play a crucial role in helping companies leverage data to drive growth and efficiency.
What are popular job titles related to Data And Analytics Manager jobs in Spring, TX? For Data And Analytics Manager jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data And Analytics Manager jobs in Spring, TX look for? The top searched job categories for Data And Analytics Manager jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data And Analytics Manager jobs? Cities near Spring, TX with the most Data And Analytics Manager job openings:
Data And Analytics Manager jobs near you
Infographic showing various Data And Analytics Manager job openings in Spring, TX as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $86,448 per year, or $41.6 per hour.

Data Analytics Manager 90150

Seadrill

Houston, TX • On-site

Full-time

Posted 21 days ago

Job description

Lead Seadrill's Data, Business Intelligence, and Digital Innovation function - transforming operational and corporate data into decision-ready insight and championing AI, automation, and modern data platform adoption across the business as part of the ISIT strategy. This role owns the analytics platform roadmap and governs data and digital-innovation delivery executed largely through outsourced MSP vendor and external resources. The Manager partners closely with business function leaders across the enterprise to prioritize the highest-value analytics outcomes, ensures robust data governance through Microsoft Purview, and sets the strategic direction for emerging technologies including Microsoft Fabric, Foundry AI framework, and Azure AI/ML capabilities.

SAFETY AT SEADRILL
Our goal is to ensure that 'nobody gets hurt' whilst performing their job. Everyone at Seadrill has a part to play in meeting our safety commitment.

Through strong leadership and personal responsibility from all employees, we take a systematic approach to identifying, managing and preventing the hazards involved in our day to day operations.

Nothing is more important to us than the health, safety and security of our workforce and the communities in which we operate and behaving responsibly towards our shared environment.

We are vigilant, disciplined and always looking out for one another. We have developed and embedded a strong safety culture onshore and offshore, fostered by all employees, who each have a personal responsibility and the authority to put an immediate stop to the job if they believe it to be unsafe.

Everyone at Seadrill is accountable for helping to build this culture of care. This includes:

  • Compliance with the Seadrill Code of Conduct and Fight Against Corruption.
  • Compliance with applicable internal and external governing requirements.
  • Non-compliances are promptly acted on and reported to the direct supervisor.
  • The standard for tidiness and cleanness is adhered to.
  • Good and clear communications with all involved parties.

SEADRILL BEHAVIORAL FRAMEWORK
In Seadrill, setting the standard is not just about what we deliver, but how we deliver it. We co-created our Behavioral Framework with our employees, where we identified four key competencies that define our culture and help us to live our values. Our behaviors are embedded in the way we work and support and guide us day to day:

  • Drive & Ownership
  • Change & Forward Thinking
  • Communication & Collaboration
  • Service Delivery
DIVERSITY 
This position is also for people with disabilities.

We recognize that our people are key to helping us to achieve our vision, so we have fostered a culture that encourages, supports and celebrates diversity of all kinds. It fuels our innovation and connects us closer to our customers and the communities we operate in.

JOIN SEADRILL
We value our people and want to retain them. So, we offer a competitive package built around an attractive base salary and a range of benefits tailored to your location.

Join Seadrill. Own the Opportunity.

Minimum Requirements

Bachelor's degree in Data, Computer Science, or related field.

Preferred

Certifications in Power BI (PL-300), Microsoft Fabric Analytics Engineer (DP-600), Azure Data Engineer (DP-203), Oracle Fusion Data Intelligence, or equivalent Microsoft/Oracle data platform certifications.

  •  Own the BI/analytics platform (Power BI, Oracle Fusion Data Intelligence, and Microsoft Fabric) and the data products serving Finance, HR, Supply Chain, and offshore Operations; oversee migration from legacy SQL Data Warehouse to Microsoft Fabric Lakehouse architecture.

  • Execute the data and AI roadmap, including prioritized AI and automation use cases leveraging Microsoft Foundry AI framework, Azure AI/ML, and cognitive services; translate business strategy from Finance, HR, Supply Chain, and Operations into a structured analytics delivery plan.

  • Direct delivery of reporting, dashboards, and analytics - performed largely by MSP vendor and external resources - with the Data Platform Lead setting technical standards; ensure delivery follows Agile/DevOps practices and meets agreed quality and governance benchmarks.

  • Establish data governance, data quality, and architecture standards in partnership with the Data Platform Lead; implement and maintain Microsoft Purview for data cataloguing, lineage tracking, classification, and compliance across all enterprise data assets.

  • Identify and pilot emerging technologies (AI, automation, Gen AI, advanced analytics) using Microsoft Foundry AI framework and Azure AI services; evaluate business cases and scale successful proofs-of-concept into production solutions.

  • Partner with business functions to prioritize the highest-value analytics and measure realized benefit.

  • Manage the delivery pipeline, intake prioritization, and stakeholder expectations across MSP vendor and external resources; effectively collaborate cross-functionally with business managers and BU leaders to align analytics investments with business outcomes.

Knowledge Skills and Experience

Essential

  • Minimum 10 years of experience in Data, BI, or analytics, including at least 3 years in a leadership or management capacity overseeing teams or delivery programmes.
  • Strong technical foundation in Power BI, SQL, and data modeling concepts (star schema, DAX, tabular models); working knowledge of SSIS, SSRS/SSAS, and SQL/Oracle relational databases; understanding of SQL Data Warehousing and migration to cloud-native architectures.
  • Demonstrated delivery of AI/automation or digital-innovation initiatives; strong understanding of Microsoft Fabric, Azure AI/ML, and Foundry AI framework capabilities with the ability to evaluate and guide technical decisions.
  • Proven experience directing MSP vendor and outsourced/external delivery partners; ability to hold vendors accountable while maintaining constructive and effective working relationships.
  • Ability to translate business strategy into a data and analytics roadmap; strong executive stakeholder management and communication skills, with experience partnering with Finance, HR, Supply Chain, and Operations function leaders.
  • Strong data governance acumen; understanding of Microsoft Purview for data cataloguing, lineage, and compliance at enterprise scale.
  • Ability to set and achieve aggressive goals; excellent analytical, report writing, and documentation skills; proficiency with MS Excel and Agile/DevOps delivery practices.

Desired

  • Oil & gas or offshore drilling domain experience, with familiarity in Finance, HR, Supply Chain, and offshore operations data and reporting.
  • Familiarity with Oracle Fusion ERP (financials, EPM, SCM, HCM) and Maximo as enterprise data sources.
  • Hands-on or architectural experience with Microsoft Fabric (Lakehouse, OneLake, Data Factory, Semantic Models), Azure data services, and Microsoft Foundry AI framework.
  • Statistical analysis, data science, or AI/ML deployment experience; understanding of Kimball methodology.
  • Oracle, Microsoft, or Cognos certification; PMP or similar programme management qualification.

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