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Analytics Engineer Jobs in Frisco, TX (NOW HIRING)

They are seeking an Analytics Engineer to join their Global Data Analytics team, where the role involves delivering scalable analytics solutions by translating business needs and collaborating with ...

Analytics Engineer

Fort Worth, TX · On-site

$60 - $70/hr

Our client is seeking an experienced Analytics Engineer to join its growing Data & Analytics team. This role is ideal for someone who enjoys solving business problems through data, partnering ...

Paid Sick Time Join Our Team as a Analytics Engineer at Epiroc! Would you like to work together with highly skilled and motivated colleagues who challenge you to think differently and grow ...

The Data Engineer will report to the SVP, FP&A and will be responsible for helping develop and maintain structured relational data that sits on top of our ERP and other core systems, analyzing large ...

The Data Engineer will report to the SVP, FP&A and will be responsible for helping develop and maintain structured relational data that sits on top of our ERP and other core systems, analyzing large ...

Senior Analytics Engineer

Fort Worth, TX · On-site

$100K - $137K/yr

POSITION SUMMARY As a Senior Analytics Engineer , you will serve as the technical leader responsible for building and maintaining the transformation and semantic layer that powers enterprise-wide ...

Senior Analytics Engineer

Dallas, TX · On-site

$103K - $142K/yr

POSITION SUMMARY As a Senior Analytics Engineer , you will serve as the technical leader responsible for building and maintaining the transformation and semantic layer that powers enterprise-wide ...

Senior Analytics Engineer

Dallas, TX · On-site

$93K - $120K/yr

This role focuses on analytics engineering and data modeling, not traditional pipeline-heavy data engineering. We are looking for someone who understands the why behind the data, not just the how

Senior Analytics Engineer

Southlake, TX · On-site +1

$78.03 - $86.67/hr

This is an exceptional opportunity to take ownership of the end-to-end analytics stack, from data ingestion and modeling to pipeline engineering, semantic layer development, and dashboard delivery.

Predictive Analytics Engineer

Dallas, TX · On-site

$100K - $120K/yr

Opportunity for advancement Data Scientist / Predictive Analytics Engineer Location: Dallas, TX (Hybrid, 3 days onsite per week) Employment Type: Full-Time / Contract (W2) Duration: Long-Term Work ...

Predictive Analytics Engineer

Dallas, TX · On-site

$100K - $120K/yr

Opportunity for advancement Data Scientist / Predictive Analytics Engineer Location: Dallas, TX (Hybrid, 3 days onsite per week) Employment Type: Full-Time / Contract (W2) Duration: Long-Term Work ...

Senior Analytics Engineer - Lima, Peru

Plano, TX · On-site

$99K - $134K/yr

The Senior Analytics Engineer for Stellus Rx will help our communities thrive as a key member of the Technology Team . You will work closely with Stellus Rx leaders and across the organization as we ...

Senior AI Analytics Engineer

Plano, TX · On-site

$100K - $137K/yr

As Senior AI Analytics Engineer, you will design and ship the AI agents, applications, and automations that change how our organization works - agents that answer executive questions in seconds ...

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Analytics Engineer information

See Frisco, TX salary details

$59.3K

$103.5K

$168.8K

How much do analytics engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for analytics engineer in Frisco, TX is $103,501.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,292.00 and $116,175.00 per year, depending on experience, location, and employer.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

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

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What are popular job titles related to Analytics Engineer jobs in Frisco, TX? For Analytics Engineer jobs in Frisco, TX, the most frequently searched job titles are:
What job categories do people searching Analytics Engineer jobs in Frisco, TX look for? The top searched job categories for Analytics Engineer jobs in Frisco, TX are:
What cities near Frisco, TX are hiring for Analytics Engineer jobs? Cities near Frisco, TX with the most Analytics Engineer job openings:
Infographic showing various Analytics Engineer job openings in Frisco, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $103,501 per year, or $49.8 per hour.

Analytics Engineer

Epiroc

Garland, TX • On-site

Full-time

Re-posted 26 days ago


Epiroc USA rating

8.9

Company rating: 8.9 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

35th of 487 rated machine equipment manufacturers


Job description

Job Summary:
Epiroc is a global productivity partner for mining and construction customers, focused on sustainable solutions. They are seeking an Analytics Engineer to join their Global Data Analytics team, where the role involves delivering scalable analytics solutions by translating business needs and collaborating with stakeholders.
Responsibilities:
• Translate business needs into scalable data models, technical specifications, and delivery plans
• Design and maintain modern data platforms (warehouse / lakehouse) using Microsoft Fabric and Databricks
• Develop and deliver Power BI dashboards and reports, including advanced calculations and visualizations
• Enable data‑driven decisions by defining KPIs and delivering actionable insights
• Build and optimize data pipelines using SQL and Python for efficient data transformation
• Drive data quality, documentation, and continuous improvement of analytics platforms and processes
Qualifications:
Required:
• Strong expertise in SQL, including complex queries, performance tuning, and data optimization
• Proven experience with Python and Databricks for data engineering, transformation, and pipeline development
• Hands-on experience with Microsoft Fabric and Power BI for building scalable analytics solutions and dashboards
• Solid understanding of data modeling techniques to translate business requirements into structured datasets
• Experience defining, tracking, and analyzing KPIs to support data-driven decision-making
• Ability to work effectively in agile, cross-functional environments, collaborating with business and technical stakeholders
• Strong business mindset, translating stakeholder needs into clear analytical solutions and data models
• Proactive and ownership-driven, independently identifying data issues, gaps, and improvement opportunities
• Highly collaborative, working effectively with business users, analysts, and engineering teams
• Detail-oriented with a strong focus on data quality, accuracy, and reliability
• Strong problem-solving approach, combining SQL, Python, Databricks, and Fabric to deliver scalable solutions
• Communicative and transparent, able to explain technical concepts clearly to non-technical stakeholders
• Continuous learner, staying current with modern data platform capabilities and analytics engineering best practices
Company:
Epiroc is a productivity partner for the mining, infrastructure and natural resources industries. Founded in 2018, the company is headquartered in Norsborg, SWE, with a team of 10001+ employees. The company is currently Late Stage.

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