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Contract Data Analytics Manager Jobs (NOW HIRING)

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 ...

The Data & Analytics Manager will serve as the subject matter expert for the company's syndicated data ecosystem, leading capabilities across point-of-sale (POS), consumer panel, and retailer data.

The Data Analytics Manager leads our data and analytics function, helping the organization make smarter, faster, and more impactful decisions. The Data Analytics Manager oversees a team of analysts ...

The Data Analytics Manager leads our data and analytics function, helping the organization make smarter, faster, and more impactful decisions. The Data Analytics Manager oversees a team of analysts ...

Data Analytics Manager

Los Angeles, CA ยท On-site

$122K - $208K/yr

The Data Analytics Manager leads a team of analytics professionals to deliver strategic insights and reporting solutions for Consumer Banking and Consumer & Small Business products. This role ...

The Data Analytics Manager leads our data and analytics function, helping the organization make smarter, faster, and more impactful decisions. The Data Analytics Manager oversees a team of analysts ...

Data & Analytics Manager Denver, CO YES Communities, founded in 2008, owns and operates nearly 300 manufactured housing communities with locations across the United States. YES takes a new approach ...

Job Summary The Manager, Data Analytics is responsible for leading the organization's data analytics strategy, measurement frameworks, reporting capabilities, and analytical initiatives related to ...

Central Insurance is seeking a Data Analytics Manager to lead a highimpact team responsible for delivering datadriven insights and advancing enterprise data capabilities. In this role, you will ...

As we expand, we are looking for a seasoned Analytics Manager , in the data team,to build the analytics arm in the data team at Clarus. It is a great opportunity for someone who wants to build ...

EchoStar is reimagining the future of connectivity through its brands like Sling TV. The Data Analytics Manager will bridge technical datasets with business strategy to optimize marketing spend and ...

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Contract Data Analytics Manager information

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$31K

$97.1K

$172K

How much do contract data analytics manager jobs pay per year?

As of Jun 26, 2026, the average yearly pay for contract data analytics manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

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

AspectContract Data Analytics ManagerData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; experience in project managementBachelor's in Data Science, Statistics, or related field; proficiency in data tools
Work EnvironmentProject-based, often consulting or temporary roles, working with multiple clients or teamsFull-time, in-house or remote, supporting ongoing business operations
Employer & Industry UsageConsulting firms, corporations, government agencies; focus on delivering analytics projectsCorporations, tech companies, finance, healthcare; focus on data reporting and insights

The Contract Data Analytics Manager typically oversees analytics projects on a temporary basis, requiring management skills and strategic oversight. In contrast, Data Analysts focus on data collection, processing, and reporting within ongoing operations. Both roles require strong analytical skills, but the managerial role emphasizes project leadership and client interaction.

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

Contract Data Analytics Managers often encounter challenges such as quickly understanding a company's existing data infrastructure, aligning expectations with stakeholders within a limited timeframe, and delivering actionable insights under tight deadlines. To address these challenges, it's essential to prioritize clear communication with team members and stakeholders, leverage onboarding materials or knowledge transfer sessions, and utilize standardized analytics tools and processes. Developing an agile project plan and regularly reviewing progress with the client can also help ensure that deliverables remain aligned with business objectives.

What does a Contract Data Analytics Manager do?

A Contract Data Analytics Manager is responsible for overseeing data analysis projects and processes on a contractual basis, often for a specific project or period. They collect, interpret, and analyze large sets of data to help organizations make informed business decisions. Their role may involve collaborating with stakeholders, managing a team of analysts, and ensuring the quality and accuracy of data reports. Since they work on a contract, their focus is typically on delivering results within a defined timeframe. They often work in industries like finance, healthcare, or marketing where data-driven insights are crucial.

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

To thrive as a Contract Data Analytics Manager, you need expertise in data analysis, contract management, and a solid background in business, finance, or a related field, often supported by a relevant degree. Familiarity with analytics tools like SQL, Tableau, and Excel, as well as contract management systems, and sometimes certifications in data analytics or project management, are commonly required. Strong attention to detail, communication, and problem-solving abilities help you interpret complex data and collaborate across departments. These skills are crucial to extract actionable insights from contract data, mitigate risks, and optimize business outcomes.
More about Contract Data Analytics Manager jobs
What cities are hiring for Contract Data Analytics Manager jobs? Cities with the most Contract Data Analytics Manager job openings:
What are the most commonly searched types of Data Analytics Manager jobs? The most popular types of Data Analytics Manager jobs are:
What states have the most Contract Data Analytics Manager jobs? States with the most job openings for Contract Data Analytics Manager jobs include:
Infographic showing various Contract Data Analytics Manager job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Data Analytics Manager (Clinical)

Data Analytics Manager (Clinical)

Incyte

Chadds Ford, PA โ€ข On-site

Other

Posted 13 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, leadership ability, and clinical development operations domain expertise. 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 4 days per week in Chadds Ford PA and/or Wilmington, DE.
Responsibilities
โ€ข Accountable for data product delivery in a GxP-regulated environment using Microsoft Fabric / Power BI for Clinical Development Operations and PMO functions.
โ€ข Engage and manage business and IT stakeholders throughout the requirements gathering, delivery, and testing process. Negotiate project scope, cost, timeline, and changes.
โ€ข Design technical solutions based on business requirements in alignment with IT architecture standards and processes.
โ€ข Lead technical project delivery teams consisting of data / BI engineers including assigning work, tracking progress, and providing technical guidance.
โ€ข Work with clinical stakeholders to define data strategy including overall architecture, data governance, and KPIs.
Required Skills & Experience
โ€ข Excellent communication and stakeholder management skills. Must be able to effectively explain complex technical information to non-technical stakeholders.
โ€ข Demonstrated ability to design and govern enterprise-scale lakehouse architectures (e.g., medallion pattern, dimensional modeling, RBAC, data lineage, performance optimization) in Microsoft Fabric or comparable cloud platforms.
โ€ข Experience with managing complex projects with tight deadlines, budget constraints, and dependencies across multiple teams.
โ€ข Experience managing distributed global teams across time zones including vendor management, contract oversight, code review, capacity planning, and performance management.
โ€ข 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.
โ€ข Experience with GxP in a data engineering & analytics context including computer system validation, data integrity, supporting audits, and 21 CFR Part 11
โ€ข 10+ years of experience related to the above requirements in roles with increasing responsibility.
Preferred Experience
โ€ข Direct experience with Veeva Development Cloud (CTMS, CDB, eTMF, OpenData, etc), Planisware, CRO data (IQVIA, ICON, etc), and other Clinical Development related data systems/providers.
โ€ข Hands-on technical expertise with the following data platform technologies: Microsoft Fabric, Databricks, PySpark, and/or Power BI.
โ€ข Hands-on experience with the following developer tools / practices: Azure DevOps, GitHub, CI/CD, AI-assisted code generation (e.g. Cursor, GitHub CoPilot, Claude Code, etc)
โ€ข Prior people management experience
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).
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