Remote Lead Analytics Engineer Jobs
Remote lead analytics engineer jobs are in strong demand across the U.S., with remote-first firms and distributed data teams actively hiring for this senior-level role in technology, finance, and healthcare. Employers posting remote openings right now include Ocrolus, Huron Consulting, and Honk. See the openings below and apply to the ones that match your experience.
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Job Posting:
Since 1953, Ferguson has been a source of quality supplies for a variety of industries. Together We Build Better infrastructure, better homes and better businesses. We exist to make our customers’ complex projects simple, successful, and sustainable. We proactively solve problems, adapt and grow to continuously serve our customers, communities and each other. Ferguson, a Fortune 500 company, is proud to provide best-in-class products, service and capabilities across the following industries: Commercial/Mechanical, Facilities Supply, Fire and Fabrication, HVAC, Industrial, Residential Trade, Residential Building and Remodel, Waterworks and Residential Digital Commerce. Ferguson has approximately 36,000 associates across 1,700 locations. Ferguson is a community of proud associates who operate with the shared purpose of building something meaningful. You will build a career that you are proud of, at a company you can believe in.
As a Lead Product Owner on the Boundary Applications and Analytics team, you will own the strategy, vision, and roadmap for Ferguson’s Decision Support Center space – the trusted source for accurate and interactive Enterprise and Operational reporting. This role operates at the intersection of technology and business functions, requiring close partnership with Finance to define, prioritize, and deliver solutions that supports the company’s “one source of truth” strategy. This role is focused on understanding the needs of internal business customers, deriving business value, offering thought leadership throughout the software delivery lifecycle, and leading technical teams to deliver large-scale projects with speed and quality. You will be a technology partner, relentlessly building and advocating for the customer while simultaneously listening and negotiating with business collaborators across the company. You will help craft a comprehensive backlog and design a thoughtful roadmap for execution of Ferguson’s vision, ensuring each report is precise, reliable, and timely. The ideal candidate brings experience leading Data Analytics teams in fast‑paced environments, thrives amid ambiguity, and takes direct accountability for delivering measurable business value.
**This position may be remote or hybrid in accordance with company policy.**
Duties and Responsibilities:
- Help to define your product's vision and strategy.
- Determine customer needs by specifying the research needed to obtain market information.
- Complete comprehensive, competitive analyses and market validation across multiple customers/products, contributing to deep stakeholder understanding of customers and markets to find adjacencies, and impactful new market opportunities.
- Manage and communicate a detailed roadmap for your product.
- Use qualitative and quantitative research to drive business value and roadmap prioritization.
- Identify and prioritize opportunities to improve operational efficiency and enhance business impact.
- Collaborate closely with the business, Finance and Reporting teams to define, document and prioritize requirements, ensuring business needs are met and exceeded.
- Communicating clearly to business leaders on changes, how they are affected, and how these changes are aligned with the company's overall goals.
- Work closely with Project Management to make sure product is on time and scoped properly.
- Coordinate alignment between delivery teams, customer groups, and leadership throughout the software development lifecycle.
- Monitor and manage overall product health through analytics and customer feedback sessions and provide commentary to leadership on an ongoing basis.
- Create and maintain a work environment that promotes customer service, collaboration, performance feedback, individual recognition, mutual respect, and employee satisfaction ensuring quality hiring, training, and succession planning processes that encompass Ferguson's diversity commitment.
- Perform all other job-related duties as requested.
Qualifications & Requirements:
- Bachelor’s degree in Computer Science, Business, Information Systems, or related field (or equivalent experience).
- 5–7 years of Product Management/Product Owner experience delivering enterprise solutions.
- Experience with data and analytics platforms (Power BI, Azure, reporting tools).
- Strong background in product lifecycle ownership (strategy, roadmap, backlog).
- Experience partnering with Finance and business stakeholders on reporting and data-driven solutions.
- Familiarity with Agile and/or Waterfall delivery models.
Core Skills & Capabilities:
- Ability to translate sophisticated business needs into clear product direction and requirements.
- Strong analytical approach with focus on data accuracy, reporting, and business value.
- Proven ability to prioritize, influence, and align cross-functional stakeholders.
- Comfortable operating in fast-paced, ambiguous environments.
- Strong communication skills across both technical and non-technical audiences.
What Sets You Apart:
- Experience with enterprise reporting, analytics platforms, or “single source of truth” initiatives.
- Background partnering closely with Finance on reporting and metrics.
- Ability to balance speed, quality, and data integrity.
Professional Competencies:
- Problem Solving: Identify issues quickly and drive effective solutions
- Collaboration: Build alignment and work effectively across teams
- Communication: Clearly convey ideas, updates, and tradeoffs
- Execution: Stay organized and deliver across multiple priorities
- Adaptability: Thrive in a dynamic, evolving environment
At Ferguson, we care for each other. We value our well-being just as much as our hard work. We are committed to a holistic approach towards benefits plans and programs that support the mental, physical and financial well-being of our associates. Our competitive offering not only includes benefits like health, dental, vision, paid time off, life insurance and a 401(k) with a company match, but our associates also enjoy additional meaningful and inclusive enhancements that are adaptable to their diverse situations and needs, including mental health coverage, gender affirming and family building benefits, paid parental leave, associate discounts, community involvement opportunities and more!
#LI-REMOTE
Pay Range:
Actual pay rate may vary depending upon location. The estimated pay range for this position is below. The specific rate will depend on a candidate’s qualifications and prior experience.
Estimated Ranges displayed are Monthly for Salaried roles OR Hourly for all other roles.
This role is Bonus or Incentive Plan eligible.
Ferguson complies with all wage regulations. The starting wage may be higher in certain locations based on local or state wage requirements.
The Company is an equal opportunity employer as well as a government contractor that shall abide by the requirements of 41 CFR 60-300.5(a), which prohibits discrimination against qualified protected Veterans and the requirements of 41 CFR 60-741.5(A), which prohibits discrimination against qualified individuals on the basis of disability.
Ferguson Enterprises, LLC. is an equal employment employer F/M/Disability/Vet/Sexual Orientation/Gender Identity.
Equal Employment Opportunity and Reasonable Accommodation Information
See All 32 Remote Lead Analytics Engineer Jobs
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Find JobsRemote Lead Analytics Engineer Job Market
Who's Hiring


Top Industries Hiring
- Consulting & Professional Services
- Science & Research
- Chemicals & Materials
- Technology & Software
- Electronics & Hardware
What Employers Look For
The qualifications that appear most often in remote lead analytics engineer jobs.
- Five or more years of analytics engineering or data engineering experience
- Expert-level proficiency in dbt for data modeling and transformation workflows
- Hands-on experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift
- Strong SQL skills for complex query writing, performance tuning, and data validation
- Experience defining data modeling standards and mentoring junior analytics engineers
- Ability to translate ambiguous business requirements into well-documented data models
Tips for Your Remote Lead Analytics Engineer Job Search
Show async work samples upfront
Remote hiring managers for lead analytics engineer roles want proof you can deliver without daily oversight. Link to a documented dbt project, a data model repo, or a written design doc in your application materials so your async output speaks before the first call.
Apply early to remote roles that fit
Migrate Mate lists remote lead analytics engineer openings from across the U.S. in one place, so you can find roles that match your stack and seniority level and apply directly without sorting through non-remote listings.
Signal remote readiness in your writing
Written communication is the primary medium on distributed teams. Keep your cover letter and application concise, structured, and self-contained. Remote employers for this role screen applicants partly by how clearly they write before the first video interview.
Target remote-first companies specifically
Remote-first firms and distributed data teams hire lead analytics engineers as a default, not an exception. Focus your search on companies where the entire data function is distributed, since those roles have clearer remote expectations and better async infrastructure from day one.
Remote Lead Analytics Engineer Jobs: Frequently Asked Questions
How do I get a remote lead analytics engineer job?
Target remote-first companies and distributed data teams, where the role is built around async collaboration from day one. Remote employers screen heavily for self-direction, clear written communication, and hands-on experience with dbt, SQL, and modern data stack tooling. A portfolio of published models, documented data pipelines, or public GitHub work gives you a concrete edge over candidates with only resume claims.
Which companies hire remote lead analytics engineers?
Remote lead analytics engineer roles are posted by Ocrolus, Huron Consulting, and Honk and others right now, based on current remote listings on Migrate Mate as of November 2026. Remote-first SaaS companies, fintech platforms, and distributed healthcare data teams are among the most consistent hirers of this role.
Can you get a remote lead analytics engineer job with no experience?
Yes, but remote lead roles are harder to break into without experience because you're expected to work independently with minimal oversight from day one. Early paths include contributing to open-source dbt projects, building a documented personal data project, or moving into a remote junior analytics role first. Demonstrating async communication skills and initiative in your application materials opens more doors than credentials alone.
Do you need a degree for remote lead analytics engineer jobs?
Not always. Remote employers for this role weigh demonstrated technical skills, a portfolio of analytics engineering work, and results over formal credentials. Proficiency in dbt, SQL, data modeling, and version control, backed by real project examples, often matters more than a specific degree, particularly at remote-first companies with outcomes-focused hiring processes.
Which industries hire the most remote lead analytics engineers?
Most remote lead analytics engineer openings sit in Consulting & Professional Services, Science & Research, and Chemicals & Materials, per current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed data teams where analytics engineers work asynchronously alongside product, engineering, and finance functions.
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