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Manager Data Analytics Engineer Jobs in Conroe, TX

National Trench Safety, Inc

Analytics Engineer

Houston, TX · On-site

$99K - $118K/yr

The Analytics Engineer will own the layer between raw data and finished reporting, combining SQL ... This hybrid role partners with the Sr. Manager, Data & Analytics and business stakeholders across ...

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 ... partnering with engineering to make it happen Minimum Requirement Degree or equivalent and ...

Pantheon

Snowflake Data Engineer - W2

Spring, TX · On-site

$96K - $116K/yr

We are looking for a hands-on Data Analytics Engineer with strong experience in DBT, Snowflake, and dimensional data modeling to help build and maintain the analytical foundation that supports ...

Pwc

Data Engineer - Manager

Houston, TX · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Apache Corporation

IT Data Analytics Director

Houston, TX · On-site

$180 - $260/hr

The Director of AI, Data Analytics, Data Engineering, Data Management, and Application Development, located in Houston, TX, is a senior leadership role responsible for overseeing and integrating ...

Wise Skulls

AI Data Analytics Lead

Houston, TX · On-site

AI Data Analytics Lead Location: Chicago, IL or Houston, TX (100% Onsite) Duration: 6 months ... Strong programming and problem-solving skills. * Excellent communication and stakeholder management ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Conroe, TX

Manager Data Analytics Engineer information

See Conroe, TX salary details

$38.1K

$111.1K

$152K

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

As of Aug 19, 2026, the average yearly pay for manager data analytics engineer in Conroe, TX is $111,054.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $117,700.00 per year, depending on experience, location, and employer.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

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

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

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

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

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

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

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

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

Manager Data Analytics Engineer jobs near you

Analytics Engineer

National Trench Safety, Inc

Houston, TX • On-site

$99K - $118K/yr

Full-time

Posted 11 days ago

National Trench Safety rating

7.7

Company rating: 7.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

87th of 174 rated vehicle equipment hire

Job description

Job Summary

The Data & Analytics team builds the reporting and data infrastructure that supports company-wide decision-making. The Analytics Engineer will own the layer between raw data and finished reporting, combining SQL data modeling with Power BI semantic models and dashboards.

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 scheduled data pipelines, and troubleshoot refresh or pipeline issues as needed.


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

  • 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.


Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field. Master’s degree is a plus.
  • Minimum (three) 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.
  • Knowledge of data quality frameworks and data governance practices.


What National Trench Safety employees say

Pay

Benefits

Hours and flexibility

Workplace

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