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Data Operations Associate Jobs in Worcester, MA (NOW HIRING)

Data Engineer

Smithfield, RI

$110K - $132.10K/yr

This ultimately enables Fidelity to deliver better outcomes and support for their associates and ... Data DevOps experience, implementing and deploying data infrastructure as code. * Familiarity with ...

M , with a focus on scalability, reliability, and operational efficiency. * Hands-on expertise with ... We are proud of our diverse and inclusive workplace where we respect and value our associates for ...

New

Data Scientist (Logistics)

Marlborough, MA ยท On-site

$76.80K - $97.90K/yr

... operational experience * 1-3 years of data science experience Benefits include Associate discount; 401(k) match; medical/dental/vision; HSA; health care FSA; life insurance; short/long-term ...

Senior Lab Manager

Waltham, MA ยท On-site

$143K - $175K/yr

The Senior Lab Manager works with the Lab Operations Associate Director to provide a smoothly ... Coordinate with IT to ensure computers, data collection software and associated equipment are ...

DATA INTEGRATION ENGINEER

Worcester, MA ยท Hybrid

$114.10K - $137K/yr

Experienced in agile development methodologies, developing high-quality code, and DevOps best ... Azure Data Engineer Associate) or equivalent. Other Azure DP certifications or equivalents are also ...

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Data Operations Associate information

See Worcester, MA salary details

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How much do data operations associate jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for data operations associate in Worcester, MA is $26.19, according to ZipRecruiter salary data. Most workers in this role earn between $17.74 and $30.24 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Operations Associate, and why are they important?

To thrive as a Data Operations Associate, you need strong analytical skills, attention to detail, and a solid understanding of data management principles, often supported by a degree in information systems, computer science, or a related field. Familiarity with data processing tools, database management systems (such as SQL), and platforms like Excel or BI tools is typically required. Excellent problem-solving abilities, communication skills, and organizational aptitude help you coordinate with teams and ensure data accuracy. These competencies are essential for maintaining data integrity, enabling efficient workflows, and supporting informed business decisions.

What are some typical challenges faced by Data Operations Associates when managing large datasets across multiple platforms?

Data Operations Associates often encounter challenges such as ensuring data consistency and accuracy when integrating information from different sources. Managing data pipelines and troubleshooting data flow issues can be complex, especially as organizations scale and adopt new technologies. Collaborating with data engineers, analysts, and IT teams is essential for resolving discrepancies and maintaining the reliability of data systems. Regularly updating documentation and staying current with best practices in data governance helps address these challenges effectively.

What does a Data Operations Associate do?

A Data Operations Associate is responsible for managing and maintaining the flow of data within an organization. They ensure data is collected, processed, and stored accurately, supporting data integrity and availability for business needs. Their duties often include monitoring data pipelines, troubleshooting data issues, and collaborating with teams to improve data processes. This role is critical in ensuring that reliable data is accessible for analytics, reporting, and decision-making.

What is the difference between Data Operations Associate vs Data Analyst?

AspectData Operations AssociateData Analyst
Primary FocusData management, processing, and ensuring data qualityAnalyzing data to generate insights and reports
Skills & CertificationsData management tools, basic SQL, attention to data accuracyData analysis, visualization, SQL, statistical skills
Work EnvironmentData teams, operations departments, often in tech or financeBusiness units, analytics teams, consulting firms

While both roles involve working with data, the Data Operations Associate primarily handles data management and quality assurance, whereas the Data Analyst focuses on analyzing data to inform business decisions. The roles often collaborate but serve different functions within organizations.

What are the most commonly searched types of Data Operations jobs in Worcester, MA? The most popular types of Data Operations jobs in Worcester, MA are:
What cities near Worcester, MA are hiring for Data Operations Associate jobs? Cities near Worcester, MA with the most Data Operations Associate job openings:
Infographic showing various Data Operations Associate job openings in Worcester, MA as of May 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $54,470 per year, or $26.2 per hour.
Associate Director, Data and Analytics

Associate Director, Data and Analytics

Madrigal Pharmaceuticals Corporation

Waltham, MA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

Madrigal is a biopharmaceutical company focused on delivering novel therapeutics for metabolic dysfunction-associated steatohepatitis (MASH), a serious liver disease that can progress to cirrhosis, liver failure, need for liver transplantation and premature mortality. Every member of our Madrigal team is connected by our shared purpose: leading the fight against MASH.
Madrigal's medication, Rezdiffra (resmetirom), is a once-daily, oral, liver-directed THR-ฮฒ agonist designed to target key underlying causes of MASH. Rezdiffra is the first and only medication approved by both the FDA and European Commission for the treatment of MASH with moderate to advanced fibrosis (F2 to F3). An ongoing Phase 3 outcomes trial is evaluating Rezdiffra for the treatment of compensated MASH cirrhosis (F4c).
Our success is driven by our people. We are building a dynamic, inclusive, and high-performing culture that values scientific excellence, operational rigor, and collaboration. To support our continued growth, we are strengthening our workforce strategy to ensure we have the right talent, at the right time, in the right way.
Job Description
Reporting to Executive Director of Data and Analytics as Associate Director of Data and Analytics, you will play a critical leadership role within the Data & Analytics organization, supporting Corporate, Finance, and Supply Chain functions. This role is responsible for translating complex business requirements into scalable analytics, predictive, and conversational analytics solutions by leveraging deep domain expertise and modern data technologies. The Associate Director will oversee solution architecture, data quality, advanced analytics development, and cross-functional collaboration to ensure high-impact, trusted, and transparent insights for the business.
Key Responsibilities
1. Technical Leadership and Strategy:
  • Provide technical leadership in the development and implementation of Supply Chain, Finance and corporate function analytics solutions, aligning with business objectives and industry best practices.
  • Execute Madrigal's established enterprise data strategy, ensuring alignment with corporate, supply chain, and finance priorities and accelerating analytics delivery.
  • Champion data governance, trust, and transparency by leveraging Alation for data cataloging, lineage, metadata management, and access control.

2. Analytics Solution Architecture & Design
  • Architect scalable data pipelines and analytics platforms using Azure and Microsoft Fabric, enabling rapid insights and efficient data processing.
  • Design and maintain semantic data models and dbt transformations to create well-governed, reusable, and trusted analytics layers.
  • Build advanced Power BI dashboards, semantic models, dataflows, and Fabric-based analytics workflows to support enterprise and self-service reporting.
  • Integrate Workday, Coupa, NetSuite, and other enterprise systems into unified, high-quality data models supporting corporate, finance, and supply chain analytics needs.

3. Advanced Analytics, Predictive & Conversational Solutions
  • Lead the development of predictive models, optimization analytics workflows to support forecasting, financial planning, and supply chain optimization.
  • Apply statistical modeling and advanced analytics to extract strategic insights from complex datasets.
  • Deliver conversational analytics solutions to support self-service and intuitive data access.

4. Data Quality, Automation, Privacy & Trust
  • Develop and automate data quality rules, profiling, and anomaly detection to ensure accuracy, completeness, and consistency of analytics outputs.
  • Implement data privacy and policy enforcement workflows using Immuta, ensuring secure, compliant, and governed access to sensitive datasets in partner with data owners/stewards
  • Drive enterprise-wide trust by establishing transparent data quality metrics, automated validation layers, and auditable pipelines inside Fabric, dbt, and Azure.

5. Cross-Functional Collaboration & Delivery Execution
  • Collaborate with business stakeholders, data engineers, data scientists, and system owners to translate business requirements into technically sound analytics solutions.
  • Act as a senior technical partner to business leaders, ensuring analytics solutions meet strategic and operational needs.
  • Lead Agile execution through JIRA for sprint management and Confluence for documentation, standards, and process governance.
  • Mentor junior analysts and engineers to build technical excellence and cross-functional capabilities.

6. Continuous Improvement, Innovation & Enablement
  • Evaluate emerging tools and technologies across analytics engineering, data governance, data quality, and conversational analytics to enhance enterprise capabilities.
  • Drive adoption of modern self-service analytics capabilities through semantic modeling, cataloging (Alation), and governed data access (Immuta).
  • Contribute to reusable frameworks, best practices, documentation, and governance processes that improve analytics efficiency and ensure data trustworthiness.

Required & Desired Qualifications
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field; PhD preferred.
  • 10+ years of experience in analytics engineering, data engineering, or advanced analytics roles, preferably in the pharmaceutical or life sciences industry.
  • Strong proficiency in Python and R, with demonstrated experience in statistical modeling, and analytical computing.
  • 8+ years of experience in data manipulation, integration, SQL development, and building scalable data products.
  • Proven expertise with visualization and analytics platforms such as Power BI, Tableau, and enterprise BI ecosystems.
  • Strong hands-on experience with Microsoft Fabric, including Power BI semantic models, dataflows, pipelines, and workspace governance.
  • Deep expertise with dbt for modeling semantic layers and building scalable, modular, production-ready transformations.
  • Experience designing and implementing automated data quality rules, profiling, anomaly detection, and validation frameworks.
  • Proficiency with Alation for data cataloging, metadata management, lineage, stewardship, and access control.
  • Experience working in Agile environments with JIRA and Confluence for project planning, sprint execution, and documentation.
  • Strong leadership, communication, and stakeholder-management skills with the ability to influence technical and business teams and drive strategic outcomes.

Competencies
  • Strategic Thinking: Ability to translate business priorities into an actionable analytics strategy.
  • Analytical Excellence: Demonstrates strong quantitative skills and ensures rigor, transparency, and clarity in insights.
  • Influence & Communication: Communicates complex concepts simply, shapes decisions, and engages senior leadership effectively.
  • Collaboration: Works effectively across functions and builds strong partnerships.
  • Innovation & Continuous Improvement: Drives modernization, automation, and adoption of new technologies.
  • Results Orientation: Delivers high-quality work, manages competing priorities, and operates with a bias toward action.

Madrigal offers a competitive Total Rewards strategy to attract and retain top talent and is inclusive of base pay, bonus, equity, and a generous benefits package. Full-time employees are eligible for base salary, bonus, equity, and a comprehensive benefits suite.
Base salary is determined by several factors including the candidate's qualifications, skills, education, experience, business needs, and market demands. As of the date of this posting, a good faith estimate of the current pay scale for this position, applicable to all candidates, is $171,000 - $209,000 per year. We comply with all applicable minimum wage laws.
All full-time employees receive equity, which reinforces our ownership culture and offers meaningful opportunity for our employees to share in the success they help create. By aligning individual and company performance, we empower employees to think like owners, giving them a stake in the organization.
Full-time employees are also eligible for comprehensive benefits, including flexible paid time off, medical, dental, vision and life/disability insurance, and 401(k) offerings (i.e., traditional, Roth, and employer match) in accordance with applicable plans. We also offer additional voluntary benefits like supplemental life insurance, legal services, and other offerings. In addition, we offer mental health benefits through our Employee Assistance Program for employees and their family. The company also provides other benefits in accordance with applicable federal, state, and local laws.
We are committed to providing reasonable accommodations for individuals with disabilities throughout the hiring process. If you need assistance, please contact HR@madrigalpharma.com.
Madrigal is an Equal Opportunity Employer. All employment is decided on the basis of qualifications, merit, and business need. Applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex gender identity, sexual orientation, national origin, age, disability, protected veteran or disabled status, or other characteristic protected by applicable federal, state, or local law.
Unsolicited resumes from agencies should not be forwarded to Madrigal. Madrigal will not be responsible for any fees arising from the use of resumes through this source. Madrigal will only pay a fee to agencies if a formal agreement between Madrigal and the agency has been established.
Applications are being accepted on an ongoing basis and can be submitted through our Madrigal Careers site.
Please be aware that we have received reports of individuals misrepresenting themselves as Madrigal Pharmaceuticals' Hiring Managers, seeking to engage with job candidates through fraudulent online advertisements or job posting sites. These unauthorized individuals are using Madrigal's name and logo in an attempt to solicit up-front fees and obtain personal information from interested job candidates. Please know that Madrigal does not conduct interviews via text or in chat rooms; conduct interviews via Skype, RingCentral or solely via telephone; charge candidates an advance fee of any kind (e.g., fees for purchasing equipment); nor does it offer positions of employment without undergoing a thorough recruiting process.
Please also note that any correspondence with regard to employment would come from an authorized madrigalpharma.com email address or from an email address from one of our trusted search firm partners. We are aware that incorrect/fraudulent email addresses, with Madrigal misspelled, have been utilized in these most recent fraud attempts. If you receive unsolicited employment offers from people claiming to work for or on behalf of Madrigal, we recommend that you: do not respond to their questions; do not open any attachments; and do not click on any hyperlinks. Any questions regarding the legitimacy of job-related contacts can be directed to HR@madrigalpharma.com.