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Data Analytics Lead Remote Jobs (NOW HIRING)

Data Analytics Technical Lead Remote contract role Data Analytics Technical Lead with extensive hands-on experience in Databricks, including advanced data engineering, lakehouse architecture, and ...

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.

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 ...

Reporting & Analytics Lead

OR · On-site +1

$140K - $155K/yr

Reporting & Analytics Lead Location ... Fully Remote Reports To: Pharmacy Data Operations Specialist Expion Health is building the future ...

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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 May 28, 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 are the key skills and qualifications needed to thrive as a Data Analytics Lead in a remote setting, and why are they important?

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 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 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.

More about Data Analytics Lead Remote jobs
What cities are hiring for Data Analytics Lead Remote jobs? Cities with the most Data Analytics Lead Remote job openings:
What are the most commonly searched types of Data Analytics Lead jobs? The most popular types of Data Analytics Lead jobs are:
What states have the most Data Analytics Lead Remote jobs? States with the most job openings for Data Analytics Lead Remote jobs include:
Infographic showing various Data Analytics Lead Remote job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 69% Full Time, 24% Part Time, 1% Temporary, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $123,849 per year, or $59.5 per hour.

Project Manager - Data Analytics Lead

Artemis Arc

Remote

Other

Posted 13 days ago


Job description

Requisition ID
2026-4325
Job Summary
Aptive/Artemis seeks a Data Analytics Lead responsible for leading data analysis, reporting, and performance evaluation activities in support of large-scale federal transition assistance programs serving transitioning Service members, Veterans, and their families. This position oversees the collection, management, interpretation, and presentation of program data to support operational effectiveness, strategic planning, and continuous program improvement. The Data Analytics Lead works closely with Government leadership, operational teams, and stakeholders to develop actionable insights, performance metrics, dashboards, and analytical products that support data-driven decision-making and modernization initiatives across the program.
Primary Responsibilities
The Data Analytics Lead manages the development and implementation of performance analysis frameworks, conducts program evaluations, and identifies trends, gaps, and emerging issues impacting transition assistance services. This role is responsible for coordinating data integration from multiple government and partner sources, conducting quantitative and qualitative analyses, and preparing executive-level reports, briefings, and recommendations. The position also supports strategic action planning by delivering analytics that measure program outcomes, operational performance, customer engagement, and service effectiveness. The Data Analytics Lead collaborates with program managers and technical teams to ensure timely, accurate, and compliant reporting while supporting continuous improvement initiatives and modernization efforts.
The ideal candidate possesses extensive experience in data analytics, program evaluation, and project management within the Federal Government or Department of Defense environment. Candidates should demonstrate expertise in data modeling, statistical analysis, performance measurement, dashboard development, and executive reporting. Strong analytical, communication, leadership, and problem-solving skills are essential, as well as the ability to translate complex data into actionable recommendations that support organizational goals and mission success.
This is a contingent hire position.
This position is remote. However, travel for occasional in-person meetings will be required.
Minimum Qualifications
  • 10 years of relevant experience, including 5 within the federal government.
  • Bachelor's degree in Data Analytics, Statistics, Computer Science, or a related field.
  • Proven experience in the management of government program data collection, modeling, analyses, and product generation.
  • Experience in preparing executive level reports, briefings, and documentation deliverables.
  • Comfortability with supporting complex client relationships.
  • Ability to obtain and maintain a public trust clearance.
  • Legal authorization to work in the U.S.