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

Rootshell Inc

Project Manager With Data Analytics

Dallas, TX · On-site

$51.25 - $69.25/hr

Project Manager With Data Analytics Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US. We are actively seeking a Project Manager With ...

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GRUMA

Insights and Analytics Manager

Irving, TX · On-site

This role is responsible for delivering data-driven insights that inform strategy across Mission Foods' Sales and Marketing teams. The Manager, Insights & Analytics will lead both analytical and ...

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

Data Analytics Manager information

See Dallas, TX salary details

$30.7K

$96.1K

$170.1K

How much do data analytics manager jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data analytics manager in Dallas, TX is $96,099.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,300.00 and $124,100.00 per year, depending on experience, location, and employer.

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

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.

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 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.

What are the most commonly searched types of Data Analytics jobs in Dallas, TX?

The most popular types of Data Analytics jobs in Dallas, TX are:

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

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

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

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

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

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

Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in Dallas, TX as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 79% In-person, 5% Hybrid, and 16% Remote job distribution, with an average salary of $96,099 per year, or $46.2 per hour.

Lead - Data & Analytics

OMS MEDICAL BILLING LLC

Addison, TX • Hybrid

Full-time

Re-posted 14 days ago

Job description

Lead — Data & Analytics

Location: Addison, TX | On-site, 5 days/week
Type: Full-time

About the Role
We are seeking a hands-on Principal — Data & Analytics to be the senior technical voice for our data platform: the architect, the standard-setter, the engineer who builds the data foundation our next decade runs on.

This is a Principal IC role — architecture and execution, not management.

What You'll Do

  • Define and execute the data platform strategy across modern cloud data warehouses and lakehouses (e.g., Snowflake, Databricks, SQL Server) — ingestion, transformation, governance
  • Architect a single source of truth for enterprise KPIs, operational reporting, and AI-ready datasets
  • Set engineering standards: data modeling, SQL discipline, dbt patterns, testing, lineage, observability
  • Partner with the Data Manager and engineering team — provide technical depth, mentorship, and architectural leadership
  • Own data governance in a regulated environment: sensitive data handling, access controls, audit trails, masking, retention
  • Bridge to BI and AI: model the data layer that powers both reporting and AI/ML workloads
  • Modernize legacy reporting patterns into scalable analytics infrastructure

What We're Looking For

  • 10+ years in data engineering and analytics; 4+ years at Principal / Staff / Lead Architect level
  • Deep expertise across modern cloud data platforms (e.g., Snowflake, Databricks, SQL Server), SQL, Python, dbt, and modern ELT patterns
  • Strong data modeling fundamentals — dimensional, Data Vault, or equivalent
  • Experience designing data platforms in HIPAA, SOC 2, or similarly regulated environments
  • Healthcare or regulated-industry experience strongly preferred
  • Track record of leading by architecture and example

Apply