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Data Analytics Lead Remote Jobs (NOW HIRING)

Project Manager - Data Analytics Lead

$53 - $71.75/hr

The Data Analytics Lead works closely with Government leadership, operational teams, and ... This position is remote. However, travel for occasional in-person meetings will be required.

Project Manager - Data Analytics Lead

$53 - $71.75/hr

The Data Analytics Lead works closely with Government leadership, operational teams, and ... This position is remote. However, travel for occasional in-person meetings will be required.

We are looking for an AI & Data Analytics Lead to lead the company's use of Artificial Intelligence, data, analytics, automation, and business intelligence . This is a hands-on role for someone who ...

Cincinnati, OH (Hybrid) or Remote (US) The Directions Group is redefining how insights power client ... Serves as the chief data explorer, defining data needs, leading analytic planning and execution ...

Senior Marketing Data & Analytics Lead

$88K - $110K/yr

Lead end-to-end analytics projects, from framing the business question and sourcing the data through analysis, storytelling, recommendation, and follow-through. * Build and improve reporting ...

Senior Marketing Data & Analytics Lead

$88K - $110K/yr

Lead end-to-end analytics projects, from framing the business question and sourcing the data through analysis, storytelling, recommendation, and follow-through. * Build and improve reporting ...

About the role We're looking for an Analytics Lead to own the full measurement stack - from the ... data to tell us what's actually working. Type: Full-Time • Location: Remote (North America ...

Lead analysis, interpretation, and generation of meaningful insights, specifically from a ... Collaborate with appropriate UCB teams (e.g., Commercial Data Operations) to ensure recurring ...

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Data Analytics Lead Remote information

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$60.5K

$123.8K

$175K

How much do data analytics lead remote jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data analytics lead remote in the United States is $123,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $153,500.00 per year, depending on experience, location, and employer.

What does a data analytics lead do when working remotely?

A Data Analytics Lead working remotely is responsible for overseeing data analysis projects, managing a team of data analysts, and ensuring the delivery of actionable insights to support business decisions. They collaborate with stakeholders to define analytics goals, design data models, and implement data-driven strategies. Remote Data Analytics Leads use various digital tools to coordinate workflows, monitor project progress, and communicate findings effectively with both technical and non-technical team members. Their role is essential in driving data-centric initiatives and ensuring the accuracy and integrity of analytical results.

What are the key skills and qualifications needed to thrive as a data analytics lead in a remote setting?

To excel as a Data Analytics Lead remotely, you need expertise in data analysis, statistical modeling, and data visualization, typically supported by a degree in a quantitative field and relevant industry experience. Familiarity with tools like SQL, Python or R, BI platforms (such as Tableau or Power BI), and cloud data systems is crucial, along with certifications like Certified Analytics Professional or Google Data Analytics. Strong leadership, communication, and collaboration skills are essential for managing distributed teams and translating complex data insights for stakeholders. These competencies ensure effective decision-making, seamless project execution, and impactful data-driven strategies within a remote work environment.

How does a data analytics lead typically collaborate with cross-functional teams in a remote setting?

As a Data Analytics Lead working remotely, you'll frequently coordinate with stakeholders from product, engineering, marketing, and executive teams. This involves leading virtual meetings to clarify requirements, aligning on project goals, and presenting analytical findings in a clear, actionable format. You'll also mentor junior analysts, foster a collaborative team culture through digital platforms, and ensure data-driven insights are effectively integrated into business strategies. Strong communication skills and the ability to manage projects across time zones are key to success in this environment.

What is the difference between Data Analytics Lead Remote vs Data Analyst Remote?

AspectData Analytics Lead RemoteData Analyst Remote
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; experience in leadership rolesBachelor's in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentLeading analytics projects, managing teams, strategic planningData collection, analysis, reporting, supporting decision-making
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsSimilar industries, often within larger teams or departments

The main difference between Data Analytics Lead Remote and Data Analyst Remote lies in their responsibilities and seniority. The Lead typically manages analytics teams and oversees strategic projects, requiring more experience and leadership skills. In contrast, Data Analysts focus on data collection, analysis, and reporting tasks. Both roles are vital in data-driven organizations, but the Lead holds a broader scope and higher level of responsibility.

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Infographic showing various Data Analytics Lead Remote job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $123,849 per year, or $59.5 per hour.

Data Analytics Lead

Denver, CO • On-site, Remote

Primeritus Financial Services
Business Management Consulting • 201 - 500 employees

Full-time

Posted 20 days ago


Job description

Primeritus Financial Services is a national provider of repossession management, remarketing, titled, and skip tracing services to the automotive finance industry in the United States and Puerto Rico. Primeritus provides clients with value-added, outsourced repossession management skip tracing investigations, and remarketing services by leveraging a national network of certified agents and unique investigative techniques to quickly and reliably secure customers' collateral. Through effective leadership, service, and performance, Primeritus Financial Services offers the trifecta of repossession services: locate, recover, and remarket.
The Data Analytics Lead shapes how Primeritus uses data. This person architects our BI and analytics platform, teaches business users to think more broadly about their data and find their own answers, and leads a small reporting/analyst team. Success is measured less by the volume of analysis this person personally produces, and more by how well-equipped the business becomes to use data on its own - alongside a scalable analytics architecture and a growing team. This position is remote and open to candidates located in the Denver, CO; Dallas, TX; Nashville, TN; and Raleigh, NC markets.
Key Responsibilities
Data Education & Enablement
• Teach and coach business users on data best practices - how to frame the right questions, interpret results correctly, and avoid common analytical pitfalls.
• Help teams look more broadly at their data: encourage thinking beyond the immediate ask to underlying trends, context, and root causes.
• Build reusable frameworks, documentation, and training materials that raise the analytical maturity of the organization over time.
• Partner with product, analytics, and leadership teams to translate one-off questions into repeatable, self-service answers.
• Step in personally on complex or ambiguous analysis when needed, modeling best practice for others to learn from.
BI & Analytics Architecture
• Own the target-state vision for Primeritus's BI/analytics architecture and set the roadmap to get there.
• Design and evolve data models, reporting structures, and integrations that support product platforms, analytics, and regulatory requirements.
• Expand self-service analytics capabilities - including natural-language and AI-assisted query tools - so business users can access and explore their own data with less dependence on the BI team.
• Evaluate and recommend BI/analytics tooling and platform improvements as the business and data needs grow.
• Monitor, optimize, and troubleshoot reporting and data processing performance.
Leadership & Mentorship
• Lead a small team of reporting/analyst team members - providing direction, technical coaching, and career development.
• Review the team's analysis and reporting work for accuracy, clarity, and business relevance.
• Serve as the go-to technical authority on analytics and data-related decisions across product and technology teams.
Governance & Compliance
• Define and enforce data governance standards, including data quality, lineage, and metadata management.
• Ensure architecture and reporting practices support financial-industry compliance, security, privacy, and auditability requirements.
• Collaborate with security, risk, and compliance partners to embed controls into architecture and reporting.
Technical Skills & Capabilities
Core Technologies
• 8+ years of experience in BI development, data analysis, or analytics architecture.
• Strong expertise in TSQL, Power BI, and DAX; SSIS/SSAS experience a plus.
• Experience with Azure Data Services (ADF, Azure SQL Database, Synapse) or an equivalent cloud data platform.
• Solid understanding of data warehouse and reporting architecture.
• Experience resolving complex data quality and performance issues.
AI & Emerging Technology
• Experience using AI/LLM tools to accelerate analysis, reporting, or documentation (e.g., Copilot in Power BI, AI-assisted SQL or DAX generation).
• Understanding of how natural-language/AI query interfaces work over structured data, sufficient to architect, evaluate, and govern them.
• Comfort piloting and assessing emerging AI tooling for BI and self-service analytics, and separating real capability from hype.
Analytics, Communication & Teaching
• Ability to analyze large, complex datasets and translate them into meaningful, decision-ready insights.
• Strong reporting and visualization skills using Power BI, Power Apps, and Excel.
• Excellent written and verbal communication skills; able to explain technical concepts to non-technical audiences.
• Experience training, coaching, or upskilling business users on data literacy or analytical best practices.
• Demonstrated ability to tell clear, compelling stories from data.
Qualifications
Required
• Bachelor's or Master's degree in Computer Science, Statistics, Data Analytics, or a related field (or equivalent experience).
• 5+ years of experience developing analytics, data platforms, or decision-support solutions.
• Experience in financial services or another highly regulated industry.
• Experience mentoring or providing technical direction to reporting/analyst staff.
• Experience teaching or coaching non-technical business users on how to work with and interpret data.
Preferred
• Experience supporting product-led or platform-based organizations.
• Familiarity with cloud-native analytics ecosystems.
• Relevant cloud, data architecture, or analytics certifications.
Success Looks Like
• Business users ask sharper questions and think more broadly about their data, rather than relying solely on the BI team.
• Executives and business teams rely on trusted, timely, data-driven insight to guide decisions.
• The BI/analytics architecture scales with business growth and regulatory change.
• Business users increasingly self-serve data and answers, reducing ad hoc load on the BI team.
• The team members grow in capability and confidence under this person's mentorship.
Primeritus is an Equal Opportunity employer and all qualified applicants will receive consideration to employment without regard to race, color, religion, gender, pregnancy, sexual orientation, national origin, age, or protected veteran or disability status.