ZipRecruiter

Log In

1

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

Seadrill

Data Analytics Manager 90150

Houston, 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

Empower Pharmacy

Manager, Data Analytics

Houston, TX · On-site

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 ...

Empower Pharmacy

Manager, Data Analytics

Houston, TX · On-site

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 ...

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

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 ...

circa

Marketing Analytics Manager

Skokie, IL · On-site

... 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 ...

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:

next page

Showing results 1-20

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

Data Analytics Manager information

See Spring, TX salary details

$27.6K

$86.4K

$153.1K

How much do data analytics manager jobs pay per year?

As of Jul 12, 2026, the average yearly pay for 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.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment certain responsibilities, it is unlikely to fully replace data analysts in the near future, and skills in data storytelling and critical thinking remain essential.

How do Data Analytics Managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What does a data analyst manager do?

A data analyst manager oversees a team of data analysts, guiding data collection, analysis, and reporting to support business decision-making. They develop strategies, ensure data accuracy, and often use tools like SQL, Excel, or data visualization software to interpret complex data sets. Strong leadership, communication skills, and knowledge of analytics tools are essential for this role.

How much do data analytics managers make?

Data analytics managers in the US typically earn a median salary of around $100,000 to $130,000 annually, with experienced professionals and those in high-demand industries earning higher. Salaries can vary based on location, education, certifications, and company size, and many roles require proficiency in tools like SQL, Python, or Tableau.

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

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a Data Analytics Manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

Is a data analyst a high salary?

Data analysts typically earn moderate to high salaries depending on experience, industry, and location. While entry-level positions may have lower pay, experienced data analysts with skills in SQL, Excel, and data visualization tools can command higher salaries, especially in competitive markets.
What are the most commonly searched types of Data Analytics jobs in Spring, TX? The most popular types of Data Analytics jobs in Spring, TX are:
What are popular job titles related to Data Analytics Manager jobs in Spring, TX? For Data Analytics Manager jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Analytics Manager jobs in Spring, TX look for? The top searched job categories for Data Analytics Manager jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Analytics Manager jobs? Cities near Spring, TX with the most Data Analytics Manager job openings:
Data Analytics Manager jobs near you

Data Analytics Manager 90150

Seadrill

Houston, TX

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.

Apply