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Remote Analytics Engineer Jobs in Rockwall, TX (NOW HIRING)

Limetree

Senior Analytics Engineer

Plano, TX · On-site +1

$117K - $140K/yr

Senior Analytics Engineer Location ... Remote (Dallas, TX area preferred, not required) About Limetree Limetree is a performance-focused ...

Bright Vision Technologies

Sr. BI Analytics Engineer

Irving, TX · Remote

$100.30K - $137.80K/yr

Job Title Sr. BI Analytics Engineer Location 100% Remote Duration 9 Months Contract Experience 7+ Years We are looking for a Senior BI Analytics Engineer with strong expertise in Power BI, Snowflake ...

Prologis

Program Director, Data & Analytics

Dallas, TX · On-site +1

You will connect strategy to execution across Data Engineering, Analytics Engineering, and Data ... remote teams * Strong change management mindset and comfort operating in evolving environments

RightNow Media

Data Analyst- Remote

Mckinney, TX · On-site +1

... Analytics Engineering to improve data structure, usability, and trust Skills and Educational ... Schedule Full-time, Monday through Friday Work Location Fully remote **Please note we will not ...

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$42.3K

$86.6K

$126K

How much do remote analytics engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for remote analytics engineer in Rockwall, TX is $86,634.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $109,700.00 per year, depending on experience, location, and employer.

What is a Remote Analytics Engineer job?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Analytics Engineer position, and why are they important?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

What are the main challenges faced by Remote Analytics Engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.
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Remote Analytics Engineer jobs near you
Senior Analytics Engineer

Senior Analytics Engineer

Limetree

Plano, TX • Remote

$117K - $140K/yr

Full-time

Posted 4 days ago

Job description

An important note before applying: We are a growing company and often receive an extremely high volume of applications, so the questionnaire is an important part of our review process. Please be sure to complete it when applying. Applications submitted through Quick Apply/Easy Apply without questionnaire responses may not be considered.
Senior Analytics Engineer
Location: Remote (Dallas, TX area preferred, not required)
About Limetree
Limetree is a performance-focused marketing agency that blends behavioral science, data, and practical marketing know-how to help organizations say the right thing, to the right people, in ways that actually work.
We specialize in industries where customer interaction is high-value and high-stakes, including healthcare, financial services, and other regulated or complex environments. Our work connects insight to action, using behavioral science and data to inform strategy, creative, and delivery in ways that drive measurable outcomes for our clients.
Limetree has been recognized multiple times on the Inc. 5000 list, named a national Inc. Best Workplace, and holds multiple patents that inform our approach to marketing performance, decision-making, and execution.
Role Summary
We are hiring a Senior Analytics Engineer to serve as a senior individual contributor at the center of our analytics and reporting platform efforts. This role is for someone with strong problem-solving ability and judgment who prefers to stay hands-on and own meaningful outcomes rather than manage people. You will deliver immediate analytical value while also helping define how analytics and reporting mature as a long-term capability within the organization.
What You’ll Do
Deliver Immediate Business Value
  • Solve analytical problems quickly and accurately
  • Use Excel, Python, and SQL to meet real‑time business needs
  • Own execution from vague question to clear, actionable output
Build for the Long Term
  • Transform one-off analyses into reusable reporting and analytics assets
  • Help shape the evolution of a broader analytics and information platform
  • Treat analytics as a product that must scale, adapt, and improve continuously
Partner with Stakeholders
  • Act as a trusted, client-facing analytics partner across the business
  • Build durable relationships through clarity, approachability, and follow-through
  • Proactively identify opportunities where analytics can drive better decisions
Operate with Technical Credibility
  • Collaborate effectively with data scientists and technical teams
  • Communicate fluently about analytical methods and implications
  • Apply architectural thinking without needing to formally own platform engineering

What We’re Looking For
Experience & Mindset
  • Experienced analytics professional with senior or principal-level ownership
  • Able to operate independently with limited direction
  • Comfortable designing analytical reports, including decisions around data visualization, information architecture, and user needs
  • Demonstrated problem framing and decision‑making
  • Experience with marketing or healthcare data a plus
Technical Skills
  • Strong analytics or analytics engineering background
  • Proficiency in a programming language (Python, R, or any professional language) as well as strong SQL and Excel skills when needed
  • Comfortable determining which tools allow for rapid delivery and quick, accurate turnarounds
  • Solid mathematical and analytical grounding
  • Comfort incorporating AI-assisted coding tools into workflow
  • Experience with front-end development a plus, especially React or similar frameworks
  • Experience with front-end graphing packages such as Chart.js and Recharts a plus
Communication & Presence
  • Friendly, credible, with client-facing experience
  • Clear and confident communicator with technical and non‑technical audiences
  • Known as a trusted problem solver
What This Role Is Not
  • Not a management role
  • Not a full-stack engineering role
  • Not a narrowly scoped reporting-only position
Why Join Limetree?
This role offers the opportunity to have ownership, impact, and longevity. You will influence how data is used today while helping define how analytics scales tomorrow. If you enjoy combining hands‑on execution with strategic thinking, this role gives you room to do both.
Compensation
Base salary: $117,000 - $140,000 plus applicable incentives, depending on experience.
 

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