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Data Analytics Lead Remote Jobs in Ohio (NOW HIRING)

Work in partnership with data science teams and with business analysts in refining their data ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

New

Work in partnership with data science teams and with business analysts in refining their data ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

New

Work in partnership with data science teams and with business analysts in refining their data ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

PIIM Analyst

New Albany, OH ยท On-site +1

... Analytics Lead. The analyst will work closely with cross-functional project teams to gather requirements, ensure data accuracy, and deliver professional, client-ready reports that meet project needs.

In this role you will lead a team of 12-15 dedicated to pushing the limits of continuous ... Analytics Office to influence the business and technology strategies for the company. If you ...

In this role you will lead a team of 12-15 dedicated to pushing the limits of continuous ... Analytics Office to influence the business and technology strategies for the company. If you ...

In this role you will lead a team of 12-15 dedicated to pushing the limits of continuous ... Analytics Office to influence the business and technology strategies for the company. If you ...

Lead Data Scientist

Columbus, OH ยท On-site +1

$144K - $250K/yr

Conjoint Analysis * Agentic AI Reports To : Senior Manager and above Direct Reports : 0 Work ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Showing results 21-40

Data Analytics Lead Remote information

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?

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 cities in Ohio are hiring for Data Analytics Lead Remote jobs? Cities in Ohio with the most Data Analytics Lead Remote job openings:
Infographic showing various Data Analytics Lead Remote job openings in Ohio as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Data Quality Engineer

Staffing Solutions Enterprises

Macedonia, OH โ€ข On-site, Remote

$103K - $124K/yr

Full-time

Posted 11 days ago


Job description

Data Quality Engineer - Macedonia, OH
Hybrid Schedule (3 days onsite)
$80K-$100K

Are you passionate about transforming raw data into trustworthy assets that empower business decisions? We're seeking a dedicated Data Quality Engineer to lead the charge in ensuring the integrity, accuracy, and usability of enterprise data across diverse systems. If you thrive on problem-solving, establishing data governance standards, and driving continuous improvement, this is your opportunity to make a significant impact in a dynamic environment.

As a Data Quality Engineer, you will own the implementation and ongoing refinement of data quality initiatives for critical business domains. Your expertise will help ensure our data remains accurate, consistent, and compliant, supporting enterprise systems including ERP, CRM, analytics platforms, and customer-facing applications. You will collaborate with cross-functional teams to establish accountability, define data standards, and develop proactive monitoring strategies to reduce operational inefficiencies and improve data trustworthiness.

Required Skills:

  • Bachelor's Degree in Information Technology, Computer Science, Data Analytics, or related field
  • 3-5 years of experience in data quality, data engineering, data governance, or analytics
  • Proficiency in SQL for data validation and analysis
  • Experience with data pipelines and transformation tools, preferably Azure Data Factory
  • Strong analytical and troubleshooting skills to diagnose cross-system data issues
  • Excellent communication skills for effective stakeholder engagement
  • Knowledge of relational data modeling, normalization, and schema design
  • Ability to work independently within distributed teams

Nice to Have Skills:

  • Experience working in commercial, distribution, or manufacturing environments
  • Familiarity with data governance and metadata tools such as Microsoft Purview, Collibra, Alation, or Informatica
  • Knowledge of master data management concepts for Customer and Product domains
  • Experience with data quality frameworks aligned with DAMA-DMBOK or ISO-8000 standards
  • Exposure to CRM platforms like Salesforce or HubSpot, and ERP systems such as Epicor
  • Supporting analytics platforms like Power BI

Other Requirements:

  • Ability to support data classification standards aligned with GDPR, CCPA, and other regulatory frameworks
  • Familiarity with data lineage and classification tools such as Microsoft Purview
  • Willingness to operate independently and proactively in a fast-paced, remote, or distributed environment

Harness your expertise and play a key role in elevating data quality standards across the organization. If you are motivated by the challenge of ensuring data integrity at scale, apply now and seize this exciting opportunity to advance your career!
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Staffing Solutions Enterprises logo

About Staffing Solutions Enterprises

Sourced by ZipRecruiter

Since 1974, SSE has delivered recruitment solutions to Northeast Ohio employers, matching local job seekers with local jobs. Today, Staffing Solutions Enterprises services job locations throughout the mid-west region and nationally. So, whether it be entry-level, professional, or managerial roles, we are here to help!

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Independence, OH, US

Year founded

1974

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