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Contract Data Analytics Manager Jobs in Spring, TX

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 ...

New

... to the M&A deal to manage and analyze the data in regulated life sciences and healthcare ... Assess revenue quality, payer mix, reimbursement exposure, and contract dynamics within healthcare ...

The Manager, Data Analytics plays a crucial role in driving business impact through sophisticated data analysis and strategic insights, overseeing extensive data projects and integrating AI to ...

The Manager, Data Analytics plays a crucial role in driving business impact through sophisticated data analysis and strategic insights. This position encompasses ownership of extensive data projects ...

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 ...

... Manager is responsible for developing and maintaining comprehensive reports and analysis that ... Duties include a proactive approach to data analysis, enabling the Marketing and eCommerce team to ...

Experience managing contract data and maintaining agreement records within an ETRM platform ... Strong analytical, problem-solving, and communication skills Work Environment This position works ...

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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Contract Data Analytics Manager information

See Spring, TX salary details

$27.6K

$86.4K

$153.1K

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

As of Jul 12, 2026, the average yearly pay for contract data 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 is the difference between Contract Data Analytics Manager vs Data Analyst?

AspectContract Data Analytics ManagerData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; experience in project managementBachelor's in Data Science, Statistics, or related field; proficiency in data tools
Work EnvironmentProject-based, often consulting or temporary roles, working with multiple clients or teamsFull-time, in-house or remote, supporting ongoing business operations
Employer & Industry UsageConsulting firms, corporations, government agencies; focus on delivering analytics projectsCorporations, tech companies, finance, healthcare; focus on data reporting and insights

The Contract Data Analytics Manager typically oversees analytics projects on a temporary basis, requiring management skills and strategic oversight. In contrast, Data Analysts focus on data collection, processing, and reporting within ongoing operations. Both roles require strong analytical skills, but the managerial role emphasizes project leadership and client interaction.

What are some common challenges faced by Contract Data Analytics Managers, and how can they be addressed?

Contract Data Analytics Managers often encounter challenges such as quickly understanding a company's existing data infrastructure, aligning expectations with stakeholders within a limited timeframe, and delivering actionable insights under tight deadlines. To address these challenges, it's essential to prioritize clear communication with team members and stakeholders, leverage onboarding materials or knowledge transfer sessions, and utilize standardized analytics tools and processes. Developing an agile project plan and regularly reviewing progress with the client can also help ensure that deliverables remain aligned with business objectives.

What does a Contract Data Analytics Manager do?

A Contract Data Analytics Manager is responsible for overseeing data analysis projects and processes on a contractual basis, often for a specific project or period. They collect, interpret, and analyze large sets of data to help organizations make informed business decisions. Their role may involve collaborating with stakeholders, managing a team of analysts, and ensuring the quality and accuracy of data reports. Since they work on a contract, their focus is typically on delivering results within a defined timeframe. They often work in industries like finance, healthcare, or marketing where data-driven insights are crucial.

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

To thrive as a Contract Data Analytics Manager, you need expertise in data analysis, contract management, and a solid background in business, finance, or a related field, often supported by a relevant degree. Familiarity with analytics tools like SQL, Tableau, and Excel, as well as contract management systems, and sometimes certifications in data analytics or project management, are commonly required. Strong attention to detail, communication, and problem-solving abilities help you interpret complex data and collaborate across departments. These skills are crucial to extract actionable insights from contract data, mitigate risks, and optimize business outcomes.
What are popular job titles related to Contract Data Analytics Manager jobs in Spring, TX? For Contract Data Analytics Manager jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Contract Data Analytics Manager jobs in Spring, TX look for? The top searched job categories for Contract Data Analytics Manager jobs in Spring, TX are:
What cities near Spring, TX are hiring for Contract Data Analytics Manager jobs? Cities near Spring, TX with the most Contract Data Analytics Manager job openings:

Data Analytics Manager 90150

Seadrill

Houston, TX • On-site

Full-time

Posted 3 days ago

New


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.