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Data Analytics Lead Remote Jobs (NOW HIRING)

Onebridge

Data Practice Lead (Remote)

Indianapolis, IN · Remote

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers ... Data Practice Lead | About You As a Data Practice Lead, you are a strategic and handson expert in ...

Rely Health

Lead, Patient Care Advocate

$18.25 - $23.50/hr

... time data analytics to provide high-quality, cost-effective, and accessible care to diverse ... The Lead Remote Navigator ensures that navigators are meeting service level and quality metrics ...

Specialty Foods Group

Data Analytics Manager

Delphi, IN · Remote

This is a remote position Travel: Up to 25 percent, with heavier travel expected during onboarding ... This is a hands-on leadership role where you will lead reporting and analytics development, partner ...

New

Instacart

Ads AI Analytics Lead II

You will partner with Ads GTM, Product, Data Science, and Engineering to ship production agents ... This role is remote and the base pay range for a successful candidate is dependent on their ...

Qvest US

Manager - Data & Analytics

Los Angeles, CA · On-site +1

Lead the team through hands-on development by coding in SQL and occasionally Python, creating data ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Qvest US

Manager - Data & Analytics

New York, NY · On-site +1

Lead the team through hands-on development by coding in SQL and occasionally Python, creating data ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Tenthpin

Location: Sandy Springs, Georgia, United States Hybrid role* (Remote/ on-site) , any location ... Lead strategic proposals, RFPs and commercial discussions within your area of expertise. * Define ...

Qvest US

Manager - Data & Analytics

New York, NY · On-site +1

Lead the team through hands-on development by coding in SQL and occasionally Python, creating data ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Qvest US

Manager - Data & Analytics

Los Angeles, CA · On-site +1

Lead the team through hands-on development by coding in SQL and occasionally Python, creating data ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Ag

Data Analytics Specialist

Dulles, VA · On-site +1

Ability to lead by example and inspire others to embrace technology and data-driven initiatives ... Onsite or remote: 60% onsite * Vision: Daily be able to see and read computer screen and other ...

Tenthpin

Director - Data & Analytics

Sandy Springs, GA · On-site +1

Hybrid role* (Remote/ on-site) , any location United States Director - Data & Analytics At Tenthpin ... Lead strategic proposals, RFPs and commercial discussions within your area of expertise. * Define ...

Tenthpin

Director - Data & Analytics

Sandy Springs, GA · On-site +1

Hybrid role* (Remote/ on-site) , any location United States Director - Data & Analytics At Tenthpin ... Lead strategic proposals, RFPs and commercial discussions within your area of expertise. * Define ...

Aretec

AWS Data Analytics and Management Lead

Aretec seeks an AWS Data Analytics and Management Lead for a 100% remote opportunity experience with data management and engineering projects, DevSecOps,, and technical architecture. * strong ...

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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 Jul 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 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.

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.
More about Data Analytics Lead Remote jobs
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Data Analytics Lead Remote jobs near you
Infographic showing various Data Analytics Lead Remote job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $123,849 per year, or $59.5 per hour.
Informatica Technical Lead

Informatica Technical Lead

Ruri Software Technologies LLC

Tampa, FL • On-site, Remote

Full-time

Posted 22 days ago

Job description

Informatica Technical Lead
Remote
Position Summary:
The Technical Lead is responsible for managing a small team of developers and drive delivery of a development stream within a project. The Technical Lead plays an active role in managing communication between the Data Architects and the Operations team to align on deliverables and coordinate the release of developed code. The Technical Lead will work with the Data Architect to translate technical documentation into tasks for the developers of their team. They will provide expertise to their developers to ensure best practices and high-quality coding standards are followed. The Technical Lead will also work closely with other Technical Leads to share findings and identify opportunities to identify synergies between development groups.
Principle Responsibilities
• Translate technical design documents from architects into technical stories for developers.
• Collaborate with operations to continuously improve deployment standards for production code.
• Provide expertise in the development of estimates for Epics and User Stories for planning and execution during project development.
• Enrich, define, and enforce governance standards to mitigate against entropy via continual operational excellence.
• Enforce and continuously improve high-quality coding standards and practices via reviews.
• Provide data analytics technical leadership when collaborating with other IT teams on project work.
Technical Skills
• Advanced knowledge of Informatica PowerCenter 8.1+ (Required).
• In-depth knowledge of SQL (plSQL, Hive, Impala, Oracle) and other databases.
• Expertise in Oracle Data Warehouse Application Console (Required).
• Expertise in Oracle Business Intelligence Enterprise Edition 11g (Required)
• Expertise in Oracle Business Intelligence Publisher 11g (Required).
• Preferred Knowledge of GCP (Google Cloud Platform) based Data Analytics tools (Ex: Big Query, Cloud Composer, Data Fusion)
• Experience in software development on a team using Agile methodology
• Preferred to have experience in implementing automated testing for large scale data platforms
• Preferred to have experience on DevOps tools and techniques (Ex: CI/CD, GitHub, Terraform, Jenkins, etc.)
Soft Skills
• Strong coaching and training skill set with multiple levels of the organization
• Communications skills that allow clear communications to both leadership as well as project resources
• Demonstrates high ability to maintain focus amidst changing schedules and requirements
• Ability to adjust priorities quickly in response to unexpected issues or requests
• Comfortable in engaging cross-functionally with other data sets and functions

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