ZipRecruiter

Log In

1

Operations Analytics Manager Jobs in Philadelphia, PA

Soni Resources

Accounting Operations Analyst

Camden, NJ · On-site

$85K/yr

Accounting Operations Analyst Hybrid | Cherry Hill, NJ Permanent Soni's client near Cherry Hill, NJ ... This role is responsible for managing the daily vehicle drafting process, generating ACH payment ...

previous pagenext page

Showing results 21-40

All JobsOperations Analytics JobsOperations Analytics Manager JobsOperations Analytics Manager Jobs in Philadelphia, PA

Operations Analytics Manager information

See Philadelphia, PA salary details

$29.6K

$60.6K

$113.3K

How much do operations analytics manager jobs pay per year?

As of Sep 3, 2026, the average yearly pay for operations analytics manager in Philadelphia, PA is $60,647.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,200.00 and $74,100.00 per year, depending on experience, location, and employer.

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.

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.

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.
Operations Analytics Manager jobs near you
Infographic showing various Operations Analytics Manager job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $64,033 per year, or $30.8 per hour.

Data Analytics Lead/Manager (Clinical)

Incyte Corporation

Chadds Ford, PA • On-site

Other

Re-posted 22 days ago

Job description

Overview

A global biopharmaceutical company on a mission to Solve On, Incyte follows science to find solutions for patients with unmet medical needs. Through the discovery, development, and commercialization of proprietary therapeutics, Incyte has established a portfolio of first-in-class medicines for patients and a strong pipeline of products in Hematology, Oncology and Inflammation and Autoimmunity

Headquartered in Wilmington, Delaware, Incyte has operations in North America, Europe, and Asia.

Data Analytics Manager (Clinical)

Reporting to the IT Director of Data Products and Analytics, the Data Analytics Manager will own the development and operation of data products aligned to Incyte's Clinical Development Operations and PMO functions. The data product portfolio consists of data pipelines, outbound integrations to external applications, data lakehouses, and reporting built in Microsoft Fabric + Power BI. The Data Analytics Manager will lead a primarily offshore (India & LATAM) technical team of 10-20 contract data engineers and data analysts. The ideal candidate has a blend of hands-on data analytics technical expertise and leadership experience. The ideal candidate is comfortable working in a dynamic fast-paced environment and highly motivated to grow in responsibility. This position is hybrid with expectation to be in office 3 days per week in Chadds Ford PA and/or Wilmington, DE.

Responsibilities

  • Accountable for data product delivery in a GxP-regulated environment using Microsoft Fabric / Power BI for Clinical Development Operations and PMO functions.
  • Engage and manage business and IT stakeholders throughout the requirements gathering, delivery, and testing process. Negotiate project scope, cost, timeline, and changes.
  • Design technical solutions based on business requirements in alignment with IT architecture standards and processes.
  • Lead technical project delivery teams consisting of data / BI engineers including assigning work, tracking progress, ensuring technical quality of work product, and meeting production support SLAs.
  • Work with clinical stakeholders to define data strategy including overall architecture, data governance, and KPIs.

Required Skills & Experience

  • Excellent communication and stakeholder management skills. Must be able to effectively explain complex technical information to non-technical stakeholders.
  • Architect level experience for designing, maintaining, and governing enterprise-scale lakehouse architectures (e.g., medallion pattern, dimensional modeling, RBAC, data lineage, performance optimization) in Microsoft Fabric, Databricks, and/or Power BI.
  • Experience with managing complex projects with tight deadlines, budget constraints, and dependencies across multiple teams.
  • Experience managing distributed global teams across time zones including vendor management, contract oversight, code review, capacity planning, and performance management.
  • Experience with best practices for CI/CD and change management using git-based code management in Azure DevOps / GitHub.
  • 10+ years of experience related to the above requirements in roles with increasing responsibility.

Preferred Experience

  • Strong experience with architecting and maintaining solutions in Microsoft fabric using Lakehouses, DirectLake Semantic Models, Power BI reports, variable libraries, and Fabric Deployment Pipelines.
  • Experience with AI-assisted code generation (e.g. Cursor, GitHub CoPilot, Claude Code, etc)
  • Experience managing production code in a regulated environment such as SOX or GxP.
  • Experience with relevant life sciences clinical data systems / providers (CTMS, EDC, CROs) and analytics related to risk based quality management (RBQM), operational trial performance, study startup, and site performance monitoring.

Disclaimer: The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications. Management reserves the right to change or modify such duties as required.

Incyte Corporation is committed to creating a diverse environment and is proud to be an equal opportunity employer.

We Respect Your Privacy

Learn more at: http://www.incyte.com/privacy-policy

The Incyte hiring organization processes your personal data to manage your job application in order to enter into an employment relationship with you if you are the successful candidate.
During the process, you may be asked to respond to questions that will screen out your application if you do not meet certain objective criteria required by the job. You can learn more about this process here.

You may have the right to access, delete, restrict, edit, move, or object to the use of your personal data. You may also have a right to report concerns to the authority responsible for data privacy in the country where the position is based or where you live or work.

You can learn more about Incyte's data protection practices here. By accessing this link you can learn about the types of personal data we collect, how we use it, whether collection and processing is optional, sources of the personal data we process, how it is shared, where it is stored or transferred to, how long we keep it, and contact information for Incyte, Incyte's data protection officer, and your supervisory authority (if applicable).

Please contact privacy@incyte.com if you have any questions or concerns or would like to exercise your rights.

Apply