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Operations Analytics Manager Jobs in Grandview, OH

You'll lead a team of site-level analysts, support operational leaders with strategic reporting ... Lead and manage a team of site-level analysts, including recruiting, training, and professional ...

You'll lead a team of site-level analysts, support operational leaders with strategic reporting ... Lead and manage a team of site-level analysts, including recruiting, training, and professional ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Data management: Proficiency in SQL and foundational data table operations; strong problem-solving skills; demonstrated understanding of data architecture design concepts. * Analytical and ...

Partner with stakeholders across Sales Operations, Account Management, and CCX business units to ... Lead insightful analytics and modeling: Perform qualitative and quantitative analyses to support ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a ...

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Operations Analytics Manager information

See Grandview, OH salary details

$29.2K

$59.7K

$111.6K

How much do operations analytics manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for operations analytics manager in Grandview, OH is $59,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,600.00 and $73,000.00 per year, depending on experience, location, and employer.

How does an operations analytics manager typically collaborate with cross-functional teams in a company?

Operations Analytics Managers frequently work with departments such as finance, supply chain, IT, and customer service to identify inefficiencies and recommend data-driven improvements. They act as a bridge between technical analysts and business stakeholders, translating analytical findings into actionable strategies. Regular meetings, project updates, and collaborative workshops are common, ensuring alignment on objectives and progress. This role requires strong communication skills and the ability to tailor complex data insights to diverse audiences.

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

AspectOperations Analytics ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Analytics, or related field; often prefers experience in operationsBachelor's in Statistics, Mathematics, or related field; certifications like SQL or Tableau are common
Work EnvironmentLeads teams in operational settings, collaborates with management, focuses on process improvementAnalyzes data sets, creates reports, supports decision-making across departments
Employer & Industry UsageUsed in logistics, manufacturing, retail, and supply chain companiesCommon across finance, marketing, healthcare, and tech industries

The Operations Analytics Manager focuses on leading teams to optimize operational processes using analytics, while Data Analysts primarily interpret data to support decision-making. Both roles require strong analytical skills, but the manager role involves leadership and strategic planning in operational contexts.

Is data analytics a high paying job?

Operations Analytics Managers typically earn above-average salaries compared to many other roles, with compensation influenced by experience, industry, and location. Skills in data analysis tools and business intelligence platforms can also impact earning potential.

What are the key skills and qualifications needed to thrive as an operations analytics manager?

To thrive as an Operations Analytics Manager, you need strong analytical skills, business acumen, and experience with data modeling, often supported by a degree in business, statistics, or a related field. Familiarity with analytics platforms like SQL, Tableau, Python, and experience in ERP or CRM systems is typically required. Exceptional problem-solving, communication, and leadership skills help you translate data insights into actionable strategies and lead cross-functional teams. These skills are vital to drive data-informed decision-making and optimize operational efficiency within an organization.

What does an operations analytics manager do?

An operations analytics manager oversees the analysis of data related to business operations to improve efficiency, reduce costs, and optimize processes. They use tools like Excel, SQL, and data visualization software to interpret large datasets, develop reports, and support decision-making. Strong analytical skills, understanding of operational workflows, and experience with data management are essential for this role.
What cities near Grandview, OH are hiring for Operations Analytics Manager jobs? Cities near Grandview, OH with the most Operations Analytics Manager job openings:

Business Analytics Manager

DPDHL

Westerville, OH • On-site

$85K - $150K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 8 days ago


Job description

The Business Analytics Manager requires up to 20% travel on a monthly basis.


The Business Analytics Manager role has a national salary range of $85,000- $150,000.

DHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock Purchase, General Bonus Plan and a generous PTO policy.


Are you ready to lead the future of data-driven decision-making in the dynamic world of supply chain? At DHL Supply Chain, we're looking for a Business Analytics Manager who can elevate our analytics capabilities, mentor a growing team of analysts, and drive strategic insights across operations. If you're passionate about data, leadership, and making an impact, this is your opportunity to shape the analytics landscape at scale.


Job Description

As a Business Analytics Manager, you will oversee all aspects of business analytics across multiple sites, ensuring high-quality insights and consistent analytical practices. You'll lead a team of site-level analysts, support operational leaders with strategic reporting, and champion the adoption of modern analytics tools. This role is ideal for someone who thrives in a fast-paced environment, enjoys mentoring others, and is ready to take ownership of analytics strategy and execution.

Responsibilities

  • Lead and manage a team of site-level analysts, including recruiting, training, and professional development
  • Set the vision and standards for analytics practices across the region or sector
  • Validate and improve analytical processes to ensure consistency, accuracy, and business value
  • Collaborate with site leadership to identify opportunities for performance improvement through data
  • Oversee the development and deployment of Power BI dashboards and reporting tools
  • Guide the design and implementation of data pipelines (ETL) from diverse sources
  • Promote data literacy and tool adoption through knowledge-sharing and training sessions
  • Act as a strategic partner for cross-functional teams (Operations, HR, Finance, etc.) to deliver customized analytical solutions
  • Stay current with analytics trends and apply best practices to enhance reporting and automation
  • Support site startups by implementing analytics frameworks and tools
  • Serve as a key point of contact for analytics community initiatives and Power BI governance


Required Experience

  • Bachelor's degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required
  • 3+ years of experience in data analytics, business intelligence, or a related field, required
  • Proven experience leading analytics teams or managing cross-functional analytics projects, required
  • Advanced proficiency in Power BI, including dashboard creation and DAX expressions, required
  • Strong SQL skills and experience with scripting languages such as Python or R, required
  • Experience designing and managing data pipelines and working with structured and unstructured data sources, required
  • Deep understanding of statistical concepts, data modeling, and modern analytics methodologies, required
  • Excellent communication and leadership skills, with the ability to influence stakeholders and drive adoption of analytics tools, required
  • Ability to work fully onsite if role is based out of a warehouse, required


Our Organization is an equal opportunity employer.

Employment Type: FULL_TIME