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Senior Manager Data Analytics Jobs in Spring, TX

DEXTER TECHNOLOGIES INC

Data Analytics Engineer

Houston, TX · On-site

$130K - $140K/yr

You'll work closely with the Sr. Manager, Data & Analytics, and with business stakeholders across Finance, Operations, and other functions who depend on accurate, well-modeled data. This is a great ...

New

McKesson

Manager, Data Analytics

The Woodlands, TX

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

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

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 ...

National Trench Safety, Inc

Analytics Engineer

Houston, TX · On-site

$99K - $118K/yr

This hybrid role partners with the Sr. Manager, Data & Analytics and business stakeholders across Finance, Operations, and other functions to build accurate, well-documented data models, support ...

Indigo Beam Consulting

Analytics Engineer

Houston, TX · On-site

$99K - $118K/yr

Hybrid - Onsite 4 days per week Reports To: Sr. Manager, Data & Analytics ABOUT THE ROLE We are seeking an Analytics Engineer to join our Data & Analytics team and play a key role in designing ...

Dexter Technologies, Inc.

Be Seen First

Analytics Engineer - Direct Hire

Houston, TX · On-site

$120K - $145K/yr

You'll work closely with the Sr. Manager, Data & Analytics, and with business stakeholders across Finance, Operations, and other functions who depend on accurate, well-modeled data. This is a great ...

New

Dexter Technologies, Inc.

Be Seen First

Analytics Engineer - Direct Hire

Houston, TX · On-site

$120K - $145K/yr

You'll work closely with the Sr. Manager, Data & Analytics, and with business stakeholders across Finance, Operations, and other functions who depend on accurate, well-modeled data. This is a great ...

New

Hp

Senior AI & Data Analytics

Spring, TX

$116K - $182K/yr

Senior AI & Data Analytics Description - Job Summary This role is responsible for overseeing the ... The role manages project finances, develops project plans and leads multiple projects with a focus ...

New

Deloitte

Senior Manager Data Lead

Houston, TX · Hybrid

Lead small engagements or key workstreams within large, complex data and analytics transformations ... Manage day-to-day stakeholder relationships and align technical delivery to business and program ...

Zachry Group

Engineering Data Analytics

Houston, TX · On-site

Must understand the basic principles of project management * Requires an excellent general ... The above description covers the fundamental responsibilities of the Senior Project Controls ...

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

Senior Manager Data Analytics information

See Spring, TX salary details

$40K

$101.9K

$149.9K

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

As of Aug 23, 2026, the average yearly pay for senior manager data analytics in Spring, TX is $101,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $120,100.00 per year, depending on experience, location, and employer.

What does a senior manager data analytics do?

A Senior Manager Data Analytics leads teams that analyze large sets of data to help organizations make informed business decisions. They develop analytics strategies, oversee data projects, and ensure the quality and integrity of data-driven insights. This role often involves collaborating with other departments, mentoring analysts, and presenting key findings to senior leadership. Senior Managers in this field need strong technical skills, leadership abilities, and business acumen to drive impactful results.

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

To thrive as a Senior Manager Data Analytics, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and several years of analytics experience. Proficiency with analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as experience with data warehousing systems, is essential. Strong leadership, strategic thinking, and communication skills enable you to guide teams and translate complex findings into actionable business insights. These competencies are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

How does a senior manager data analytics typically collaborate with cross-functional teams within an organization?

Senior Managers of Data Analytics frequently work alongside cross-functional teams such as IT, product development, marketing, and finance to ensure that data-driven insights align with business objectives. They are responsible for translating complex analytical findings into actionable recommendations and communicating these insights clearly to both technical and non-technical stakeholders. Regular collaboration often involves leading meetings, setting project priorities, and ensuring data initiatives are integrated smoothly with ongoing business strategies. This collaborative environment fosters innovation and helps drive organizational growth.

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

AspectSenior Manager Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership roles, strategic planning, team managementData collection, analysis, reporting
Employer & Industry UsageCorporate, finance, healthcare, tech companiesVarious industries, including marketing, finance, tech
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical and analytical skills

The main difference between Senior Manager Data Analytics and Data Analyst lies in their responsibilities and experience level. Senior Managers focus on strategic oversight, team leadership, and decision-making, while Data Analysts handle data collection, analysis, and reporting at a more technical level. Senior Managers typically have more experience and credentials, working in leadership roles within organizations across various industries.

What are popular job titles related to Senior Manager Data Analytics jobs in Spring, TX?

For Senior Manager Data Analytics jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Senior Manager Data Analytics jobs in Spring, TX look for?

The top searched job categories for Senior Manager Data Analytics jobs in Spring, TX are:

What cities near Spring, TX are hiring for Senior Manager Data Analytics jobs?

Cities near Spring, TX with the most Senior Manager Data Analytics job openings:

Senior Manager Data Analytics jobs near you

Data Analytics Engineer

DEXTER TECHNOLOGIES INC

Houston, TX • On-site

$130K - $140K/yr

Full-time

Medical, Dental, Vision

Posted 2 days ago

New

Job description

Benefits:
  • Dental insurance
  • Health insurance
  • Vision insurance

Hi,
We are actively seeking qualified candidates for the following position for our client, who is an industry leader:
 
Data Analytics Engineer
Location: Houston TX (4 days in office)
Type: Full Time 
 
This role is a hybrid, bridging the gap between data engineering and business intelligence.  You'll spend part of your time writing and optimizing SQL — building staging tables, views, and fact/dimension models — and part of your time building semantic models and reports in Power BI. Keeping an eye on our scheduled data pipelines, you’ll handle first-line troubleshooting when something fails. You'll work closely with the Sr. Manager, Data & Analytics, and with business stakeholders across Finance, Operations, and other functions who depend on accurate, well-modeled data.
This is a great fit for someone who wants breadth — real ownership across the data stack — on a team small enough that your work visibly matters.
 
Key Responsibilities
·       Data modeling & SQL: Design, build, and maintain SQL views, staging tables, and fact/dimension models in our Azure SQL data warehouse, including deduplication and business-rule logic (e.g., status-based routing, multi-source reconciliation).
·       Semantic models & reporting: Build and maintain Power BI semantic models — relationships, DAX measures, security roles — and the reports and dashboards built on top of them for business stakeholders and company-wide reporting.
·       Pipeline support: Share responsibility with the Sr. Manager, Data & Analytics for monitoring scheduled Azure Data Factory pipelines and Power BI dataset refreshes. Respond to failures and perform basic troubleshooting.
·       Pipeline modifications: Make minor modifications to existing pipelines to support new or changing business requirements, as your familiarity with the tooling grows. 
·       Business partnership: Partner with business SMEs to translate reporting requests and business logic (commission structures, revenue recognition, inventory rules, etc.) into accurate, well-documented data models.
·       Documentation: Write and maintain documentation for data models, metric definitions, and report logic so that data lineage and ownership are clear beyond any one person.
·       Standards & quality: Follow and help evolve team standards for naming conventions, DAX style, and semantic model design as the team's practices mature.
  • Continuous Improvement: Proactively identify opportunities for process improvements, optimize current data workflows, and incorporate new technologies or tools to enhance data analytics capabilities.
Knowledge and Skills  
Required
·       3+ years in a data-focused role (analytics engineer, BI developer, data analyst, or similar) with hands-on SQL work — comfortable with CTEs, window functions, and reading/writing complex, multi-source views.
·       Solid Power BI experience beyond report formatting — you've built semantic models from scratch and written DAX involving CALCULATE, filter context, and context transition, not just basic aggregations.
·       Dimensional modeling fundamentals (star schemas, slowly changing dimensions).
·       A track record of working directly with business stakeholders to translate ambiguous requirements or business rules into a working data model.
·       Strong attention to detail with data integrity — you double-check your joins and know how a bad join or an inclusive date boundary can quietly break a report.
Preferred
·       Exposure to an ERP or other core business system as a data source (order, invoicing, or GL data) -  you understand that business rules, not just dates, often drive how records should be deduplicated or classified.
·       Understanding of ETL/ELT concepts and working knowledge of orchestration tools like Azure Data Factory or similar tools for automating data pipelines.
·       Familiarity with Microsoft Fabric Administration and Environment (Lakehouses, Dataflows Gen2) — not required, but a plus given our platform direction.
·       Basic Git / source control experience.
·       Python for data tasks.
  • Knowledge of data quality frameworks and data governance practices. 
Qualifications
  • Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field. Master’s degree is a plus.
  • 3+ years in a data-focused role (analytics engineer, BI developer, data analyst, or similar) with hands-on SQL work — comfortable with CTEs, window functions, and reading/writing complex, multi-source views.

Flexible work from home options available.