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Remote Data Analytics Manager Jobs in Ohio (NOW HIRING)

Aimpoint Digital

$116K - $153K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest ...

PNC Bank

Data Engineer Assoc

Cleveland, OH · On-site +1

$91K - $202K/yr

... Analytics Hub, you will have the opportunity to work fully remote. Our team focuses on producing ... Managing Risk - Assessing and effectively managing all of the risks associated with their business ...

MCKESSON

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108K - $181K/yr

You will work closely with cross‑functional partners in operations, workforce management, and ... Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ...

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Remote Data Analytics Manager information

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

AspectRemote Data Analytics ManagerRemote Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; leadership experienceBachelor's in Data Science, Statistics, or related field; technical skills
Work EnvironmentOversees teams, manages projects, strategic planningPerforms data analysis, reports, data cleaning
Employer & Industry UsageTech companies, finance, healthcare, retailSame industries, often entry to mid-level roles

The Remote Data Analytics Manager focuses on leading teams and strategic oversight, while the Remote Data Analyst handles data processing and reporting tasks. Both roles require strong analytical skills, but the manager position emphasizes leadership and project management, making it suitable for those with experience in team coordination and strategic planning.

What does a Remote Data Analytics Manager do?

A Remote Data Analytics Manager oversees a team of data analysts and manages data projects from a remote location. They are responsible for collecting, analyzing, and interpreting complex data to help organizations make informed business decisions. This role involves collaborating with various departments, setting analytics strategies, ensuring data quality, and presenting actionable insights to stakeholders. Remote Data Analytics Managers use a variety of tools and platforms to facilitate teamwork and maintain clear communication despite not being physically present in the office.

What are some common challenges faced by Remote Data Analytics Managers, and how can they be addressed?

Remote Data Analytics Managers often encounter challenges related to team communication and project coordination due to different time zones and limited face-to-face interaction. To address these issues, it’s important to establish clear communication protocols, use collaborative project management tools, and schedule regular check-ins to ensure alignment. Additionally, fostering a culture of transparency and encouraging proactive sharing of information helps keep all team members engaged and informed. By prioritizing these practices, remote managers can effectively lead their teams and maintain productivity.

What are the key skills and qualifications needed to thrive as a Remote Data Analytics Manager, and why are they important?

To thrive as a Remote Data Analytics Manager, you need strong analytical skills, expertise in statistics, and a solid background in data management, typically supported by a degree in a quantitative field and experience in analytics leadership. Proficiency with data visualization tools (like Tableau or Power BI), SQL, and data analytics platforms, along with certifications such as Certified Analytics Professional (CAP), is highly beneficial. Excellent communication, leadership, and problem-solving skills help you effectively manage remote teams and translate complex data insights into actionable business strategies. These skills ensure data-driven decision-making, team productivity, and successful project outcomes in a virtual environment.
What are the most commonly searched types of Remote Data Analytics jobs in Ohio? The most popular types of Remote Data Analytics jobs in Ohio are:
What are popular job titles related to Remote Data Analytics Manager jobs in Ohio? For Remote Data Analytics Manager jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Data Analytics Manager jobs in Ohio look for? The top searched job categories for Remote Data Analytics Manager jobs in Ohio are:
What cities in Ohio are hiring for Remote Data Analytics Manager jobs? Cities in Ohio with the most Remote Data Analytics Manager job openings:
Remote Data Analytics Manager jobs near you
Infographic showing various Remote Data Analytics Manager job openings in Ohio as of June 2026, with employment types broken down into 2% As Needed, 49% Full Time, 42% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Data integration Architect with IBM StreamSets and Salesforce

S R INTERNATIONAL INC

Columbus, OH • Remote

$80 - $90/hr

Full-time

Posted 24 days ago

Job description

LOCAL OHIO CANDIDATES
State of Ohio- Data Integration Architect with IBM StreamSets and Salesforce - 797734
100% REMOTE must report on-site for 1st day at Columbus, Ohio 43215
Interviews will be via Teams

The Technical Specialist 4 (TS4) contract resource will design and implement Agency data engineering solutions, including data platform evaluation, selection recommendations, data modeling, and enterprise data architecture development. This position will serve as a senior technical contributor responsible for shaping and advancing the Agencys data ecosystem through scalable, secure, and well-governed data design practices.
The TS4 will make technical decisions affecting configuration and implementation of data analytics environments, data platforms, integration systems, and environment-specific data storage solutions. The position will collaborate with IT Architecture staff, the Agency CIO, and IT Managers to design data solutions aligned with agency business needs, enterprise standards, and long-term architectural direction. The TS4 will assist in evaluating solution designs, contributing to business case analysis, and recommending IT architecture improvements.
This role will serve as a significant contributor to the Agencys data modeling and data architecture practices, including:
Designing and maintaining conceptual, logical, and physical data models supporting enterprise analytics and operational systems
Establishing and promoting data modeling standards, naming conventions, and design patterns
Contributing to the development and evolution of the Agencys enterprise data architecture roadmap
Supporting domain-driven and scalable data design approaches aligned with enterprise data platforms and data governance objectives
Providing architectural guidance to ensure data solutions are reusable, interoperable, and aligned with enterprise integration strategies
The TS4 will recommend technical strategy by defining tasks and leading technical discussions related to design, implementation, operation, optimization, and ongoing maintenance of data systems. The position will work closely with Enterprise partners to determine and configure integrations between agency systems and enterprise data lake, data quality, and data curation platforms.
It is critical that this position possess at least five (5) years of proven experience related to data integration, data cleansing, data classification, and data modeling. The TS4 will provide technical leadership and guidance to DODDs Data Management team by designing and implementing best-practice solutions for integrating agency and enterprise data platform environments.
Required Skills:

  • Experience with Salesforce platforms
  • Experience with Microsoft Environments including Azure and Dynamics
  • Experience with StreamSets data integration pipelines
  • Experience with Snowflake data platform
  • Experience with Tableau analytics integration

This is a remote position.