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Operations Analytics Manager Jobs in Philadelphia, PA

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

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

Collaborate with operations and product teams to ensure well-defined objective functions which are ... analytics, fraud risk management, or financial crime data science * Strong experience with fraud ...

Strategic Operations Analyst HHM Hotels is a leading hospitality management and investment firm with a portfolio of over 200 hotels and resorts across the United States. We are seeking a Strategic ...

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Operations Analytics Manager information

See Philadelphia, PA salary details

$31.3K

$64K

$119.6K

How much do operations analytics manager jobs pay per year?

As of Jul 26, 2026, the average yearly pay for operations analytics manager in Philadelphia, PA is $64,033.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,400.00 and $78,200.00 per year, depending on experience, location, and employer.

How much do analytics managers make in the US?

Analytics managers in the US typically earn a median annual salary of around $85,000 to $120,000, depending on experience, industry, and location. Salaries can increase with advanced skills in data analysis tools, leadership, and certifications such as Certified Analytics Professional (CAP).

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?

Data analytics roles, including Operations Analytics Managers, tend to offer competitive salaries due to the demand for data-driven decision making. Compensation varies based on experience, industry, and location, but generally, these positions are considered well-paying within the business and technology sectors.

What does an analytics manager do?

An operations analytics manager oversees the collection, analysis, and interpretation of data to improve business processes and operational efficiency. They develop reports, use tools like Excel or data visualization software, and collaborate with teams to support data-driven decision-making.

What are the key skills and qualifications needed to thrive as an Operations Analytics Manager, and why are they important?

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 analyzes data related to business operations to improve efficiency, reduce costs, and optimize processes. They use tools like Excel, SQL, and data visualization software to identify trends and support decision-making, often overseeing teams and collaborating with other departments.
Infographic showing various Operations Analytics Manager job openings in Philadelphia, PA as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $64,033 per year, or $30.8 per hour.
Sr Manager, Operations Analytics & Reporting

Sr Manager, Operations Analytics & Reporting

Best Egg

Wilmington, DE

$115K - $130K/yr

Full-time

Posted 7 days ago


Job description

The Job

We are seeking a Sr Manager, Operations Analytics & Reporting, to lead the evolution of analytics, dashboard reporting, forecasting, and performance insights across our consumer lending and customer service operations (originations, servicing, and collections).

This role is responsible for enabling clear, consistent, and actionable views of operational performance, and ensuring that analytics meaningfully supports decision-making across originations, servicing, and collections.

This leader will oversee reporting, forecasting, and analytics capabilities, ensuring alignment between business demand, operational performance, and resource planning, while establishing scalable processes for how data is defined, governed, and used across the organization.

Performance Analytics & Reporting
  • Own development of performance insights that identify drivers, risks, and opportunities across operations
  • Lead consolidation and simplification of dashboards to provide clear, focused views of performance
     
  • Partner with leadership to influence operational decisions through data-driven insights and recommendations
     
  • Develop clear performance narratives connecting data to business outcomes
  • Improve usability and adoption through best practices in reporting design and data storytelling 
Governance & Standardization
  • Own and govern definitions of key operational metrics across teams
  • Drive consistency in how metrics are calculated, presented, and interpreted
  • Establish scalable processes for reporting intake, prioritization, and change management
  • Implement appropriate controls, validation processes, and ownership structures to support data accuracy and consistency
Forecasting & Planning
  • Lead development of demand forecasts and capacity models across operations
  • Ensure forecasting is integrated with performance insights and business strategy
  • Partner with operations and workforce management to align staffing plans with demand
  • Continuously improve forecasting accuracy and responsiveness
Experience
  • 8 - 10+ years of experience in analytics, business intelligence, or operational reporting
  • Experience leading analytics and/or data visualization teams in complex, cross-functional environment
  • Experience supporting operational functions such as loan origination / servicing, call center, processing or similar high-volume environments
  • Experience in financial services, fintech, or other data-intensive industries strongly preferred
Capabilities
  • Ability to simplify complex reporting environments into clear, streamlined, and actionable outputs
  • Strong ability to translate business needs into clear, structured reporting and insights
  • Experience establishing metric definitions, reporting frameworks, and governance practices
  • Demonstrated success improving reporting clarity, consistency, and adoption
  • Strong balance of strategic thinking and hands-on execution
Technical Skills
  • Experience with BI tools such as Power BI or similar platforms
  • Strong understanding of SQL, SAS, data modeling, and data warehousing concepts
  • Familiarity with Snowflake data environments
What Success Looks Like
  • Stakeholders have clear, consistent views of operational performance
  • Reporting is trusted, intuitive, actionable, and streamlined to support efficient decision-making
  • Forecasting and capacity models are accurate and inform planning decisions
  • The team operates with focus, prioritization, and high standards of quality
  • Analytics directly influences operational performance, decision-making, and business outcomes