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Weekend Data Analytics Jobs in Ohio (NOW HIRING)

Schaeffler

Data & Analytics Specialist

Wooster, OH · On-site

The Data & Analytics Specialist will be responsible for developing data concepts, analyzing data, and implementing IT systems to enhance logistics and supply chain processes. Responsibilities : • ...

Schaeffler

Data & Analytics Specialist

Wooster, OH · On-site

Consolidate data rules, analyze, extract and enrich data, proceed with complex mass data changes and resolve data quality issues. * Build or configure reports and analytical solutions to generate ...

Schaeffler

Data & Analytics Specialist

Wooster, OH

Consolidate data rules, analyze, extract and enrich data, proceed with complex mass data changes and resolve data quality issues. * Build or configure reports and analytical solutions to generate ...

Further

Data & Analytics Strategy

Cleveland, OH · Hybrid

What experience should you have: * 10-15 years of experience in full scale customer journey and data ecosystems, with a track record of designing comprehensive analytics, measurement, and ...

US Bank

Data Analytics - Operations

Cincinnati, OH · On-site

As a Data Analyst , you'll be part of a collaborative, forward-thinking team that partners closely with business leaders. You'll use modern data tools to uncover insights, tell compelling data ...

Further

Data & Analytics Strategy

Cleveland, OH · On-site

What experience should you have: * 10-15 years of experience in full scale customer journey and data ecosystems, with a track record of designing comprehensive analytics, measurement, and ...

Booz Allen Hamilton

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science principles and techniques. * Create and edit visual content, including charts, graphs, and dashboards, to ...

Booz Allen Hamilton, Inc.

Data Analyst

Dayton, OH · On-site

$61K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science principles and techniques. * Create and edit visual content, including charts, graphs, and dashboards, to ...

Booz Allen Hamilton

Data Analyst

Dayton, OH · On-site

$61K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science principles and techniques. * Create and edit visual content, including charts, graphs, and dashboards, to ...

Booz Allen Hamilton, Inc.

Data Analyst

Dayton, OH · On-site

$61K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science principles and techniques. * Create and edit visual content, including charts, graphs, and dashboards, to ...

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All JobsData Analytics JobsWeekend Data Analytics JobsWeekend Data Analytics Jobs in Ohio

Weekend Data Analytics information

What is the difference between Weekend Data Analytics vs Data Analyst?

AspectWeekend Data AnalyticsData Analyst
CredentialsBachelor's degree in data-related field, certifications like Google Data AnalyticsBachelor's or higher in data, statistics, or related fields, certifications optional
Work EnvironmentPart-time, flexible hours, often remote or on-site during weekendsFull-time, standard weekday hours, typically on-site or hybrid
Industry UsageUsed in industries needing weekend data support, such as retail or hospitalityUsed across various industries for data analysis, reporting, and insights

Weekend Data Analytics roles focus on part-time, flexible weekend work, often requiring specific certifications and catering to industries with weekend operations. Data Analysts typically work full-time during weekdays, handling broader data tasks across multiple sectors. Both roles involve data skills but differ mainly in schedule and scope.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills in statistical analysis, data visualization, and domain knowledge that AI cannot fully replicate, making human expertise still valuable in the field.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills in data analysis, programming, and statistical tools that can be learned at any age. Many professionals successfully transition into data analytics later in their careers by gaining relevant certifications and experience. Employers often prioritize skills and experience over age when hiring for data analyst positions.

Can data analytics be a side hustle?

Data analytics can be a viable side hustle for professionals with skills in data analysis, visualization, and tools like Excel, SQL, or Python. Many analysts take on freelance projects or consulting work outside their main job, often working flexible hours to supplement income.

Do data analysts work on weekends?

Data analysts typically work standard weekday hours, but they may work on weekends if project deadlines, data availability, or urgent issues require it. Flexibility can be important, especially in roles involving real-time data monitoring or client support.
What are the most commonly searched types of Data Analytics jobs in Ohio? The most popular types of Data Analytics jobs in Ohio are:
What cities in Ohio are hiring for Weekend Data Analytics jobs? Cities in Ohio with the most Weekend Data Analytics job openings:
Weekend Data Analytics jobs near you
Data & Analytics Specialist

Data & Analytics Specialist

Schaeffler

Wooster, OH • On-site

Full-time

Re-posted 25 days ago

Schaeffler rating

7.1

Company rating: 7.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

293rd of 430 rated machine equipment manufacturers

Job description

Job Summary:
Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. The Data & Analytics Specialist will be responsible for developing data concepts, analyzing data, and implementing IT systems to enhance logistics and supply chain processes.
Responsibilities:
• Consolidate requirements, develop and implement data concepts and/or analyze, interpret and report on data and related information for the business or domain assigned.
• Gather and evaluate business needs with respect to data and develop data models that best meet the information requirements.
• Develop and implement concepts for improving data-related processes, and recommend appropriate IT systems for utilization.
• Consolidate data rules, analyze, extract and enrich data, proceed with complex mass data changes and resolve data quality issues.
• Build or configure reports and analytical solutions to generate additional information from data based on given toolsets.
• Enable and support stakeholders in the data network and share guidelines, standards and best practices with the organization.
• Support the planning, rollout, and adoption of S4 HANA and related applications.
• Implement IT systems and tools that enhance planning, logistics, and supply chain processes.
• Create and maintain logistics and planning master data in alignment with global standards.
• Participate in regional and local S4 HANA team meetings, providing insights and feedback from the manufacturing plants.
• Work directly within manufacturing and logistics environments to understand system impact and operational needs.
• Train end users on S4 HANA and related systems, promoting consistent standards and best practices.
• Enable and support stakeholders within the larger data network, sharing knowledge and fostering adoption.
Qualifications:
Required:
• Bachelor’s degree in Industrial Engineering, Logistics, or Technical field of study
• 3 to 5 years experience overall with proven experience in production planning, logistics, supply chain management, or process optimization
• Hands-on experience with ERP systems, ideally SAP R/3 or S/4HANA, and manufacturing planning/logistics systems
• Strong analytical skills with the ability to consolidate, interpret, and act on complex datasets
• Ability to apply systematic approaches and continuous improvement methodologies (Lean, Six Sigma, etc.)
• Comfortable working near manufacturing and logistics equipment as needed to support operational processes
• Applicants must be authorized to work in the US without employment VISA or other sponsorship
Company:
Schaeffler is a supplier of automotive and industrial sectors for inventions and developments in the fields of motion and mobility. Founded in 1964, the company is headquartered in Herzogenaurach, DEU, with a team of 10001+ employees. The company is currently Late Stage.

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