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Internship Data Analyst Opt Jobs in Worcester, MA

Winaxis

Supply chain analyst

Waltham, MA · On-site

OPT EAD, CPT, H4-EAD, and other EAD holders encouraged to apply We are seeking an entry-level ... Collect, validate, and interpret supply chain data to generate insights and recommendations.

Medtronic

Engineering Intern - Summer 2027

Newton, MA · On-site

$18.25 - $23.75/hr

Contribute to system integration, verification, validation, risk analysis, and data-driven ... internship positions. Individuals on temporary visa classifications, including E, F1 (CPT or OPT ...

Medtronic

Engineering Intern - Summer 2027

Newton, MA

$18.25 - $23.75/hr

Contribute to system integration, verification, validation, risk analysis, and data-driven ... internship positions. Individuals on temporary visa classifications, including E, F1 (CPT or OPT ...

AstraZeneca

Scientist, Data Science

Waltham, MA · On-site

$91K - $136K/yr

Analytical Support: Apply analytical methods and machine learning algorithms to help identify ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

AstraZeneca

Scientist, Data Science

Waltham, MA

$91K - $136K/yr

Analytical Support: Apply analytical methods and machine learning algorithms to help identify ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

AstraZeneca

Scientist, Data Science

Waltham, MA · On-site

Analytical Support: Apply analytical methods and machine learning algorithms to help identify ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

Ascensus, LLC.

Data Program Architect

Newton, MA · On-site

$70 - $90/hr

... working under OPT . The Data Program Architect is responsible for defining and driving the ... analytics, and operational needs. Acting as a senior architectural leader, the Data Program ...

ASCENSUS

Data Program Architect

Newton, MA

$70 - $90/hr

... working under OPT . The Data Program Architect is responsible for defining and driving the ... analytics, and operational needs. Acting as a senior architectural leader, the Data Program ...

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How much do internship data analyst opt jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for internship data analyst opt in Worcester, MA is $22.46, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $24.47 per hour, depending on experience, location, and employer.

What is an internship data analyst opt?

An Internship Data Analyst OPT is a student or recent graduate, typically on Optional Practical Training (OPT) status, who works in a temporary internship role focused on data analysis. Their responsibilities include collecting, processing, and interpreting data to help organizations make informed decisions. These internships provide practical experience in data analysis tools and techniques, often using software like Excel, SQL, or Python. It is a valuable opportunity for international students in the U.S. to gain real-world experience in their field of study.

What kinds of projects or tasks can an internship data analyst opt expect to work on during their internship?

As an Internship Data Analyst Opt, you can expect to work on projects such as data cleaning, preparing reports, visualizing data trends, and supporting more senior analysts with ad hoc analyses. Interns often participate in team meetings to present findings and collaborate with colleagues from different departments, such as marketing or finance, to help solve real business problems. This hands-on experience not only strengthens technical skills but also provides insight into how data-driven decisions are made within an organization. Additionally, you'll likely use tools like Excel, SQL, or Python, gaining practical exposure to industry-standard technologies.

What are the key skills and qualifications needed to thrive as an internship data analyst opt?

To thrive as an Internship Data Analyst, you need a solid grasp of statistics, data analysis, and proficiency in spreadsheet and database tools, often supported by coursework in data science or related fields. Familiarity with programming languages such as Python or R, data visualization tools like Tableau, and Excel is commonly required. Strong problem-solving skills, attention to detail, and effective communication set outstanding candidates apart. These abilities are crucial for accurately interpreting data, drawing actionable insights, and clearly presenting findings to support business decisions.

What is the difference between Internship Data Analyst Opt and Data Analyst?

AspectInternship Data Analyst OptData Analyst
Required CredentialsTypically pursuing or recent graduate, some certificationsOften requires a bachelor's degree, certifications like SQL or Excel
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time, professional environment, more responsibilities
Employer & Industry UsageInternship programs in various industriesFull-time roles across industries like finance, healthcare, tech

The Internship Data Analyst Opt is an entry-level, learning-focused position often held by students or recent graduates, while a Data Analyst is a full-time professional role requiring more experience and responsibilities. Both roles are common in similar industries and may require basic data skills, but the internship is designed as a stepping stone to a full analyst position.

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For Internship Data Analyst Opt jobs in Worcester, MA, the most frequently searched job titles are:

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Internship Data Analyst Opt jobs near you

Data Strategy Analyst, Brandeis Career Center

Waltham, MA • On-site

Brandeis University
Colleges, Universities, and Professional Schools • 1 - 5K employees
Learn more about Brandeis Universityexternal

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 3 days ago

Job description

Hiring Range: $59,400 - $78,500
Lead Career Center Data Strategy, Analytics, and Reporting
Brandeis University is launching a bold new approach to career development as part of its vision to Reinvent the Liberal Arts. We're creating an integrated career center that serves undergraduate students, graduate students, and alumni by connecting academic learning with career exploration, internships, employer partnerships, and lifelong career support. This is an exciting opportunity to join a growing team and help shape the future of career education at one of the nation's leading liberal arts research universities.
We are hiring a Data Strategy Analyst to lead the Career Center's data strategy, analytics, and reporting efforts. By analyzing student engagement, career outcomes, and program effectiveness, you will generate actionable insights that inform strategic decision making, support institutional reporting, and help measure the impact of career education. Working closely with colleagues across the university, you will strengthen data governance, assessment, and partnerships while advancing a culture of evidence-based planning and continuous improvement.
What you will do
Data Strategy and Governance (30%)
  • Develop and manage a comprehensive data strategy for the career center across undergraduate and graduate populations
  • Establish and maintain data governance practices, including standardized definitions, processes, and reporting protocols
  • Ensure data integrity, quality, and consistency across all systems and platforms
  • Oversee integration of multiple data sources, including CRM systems, survey platforms, and external datasets
  • Ensure compliance with university policies, FERPA, and data privacy standards
  • Partner with IT and Institutional Research to support system alignment, data architecture, and reporting infrastructure

Data Analytics and Reporting (25%)
  • Lead analysis and interpretation of student engagement, career outcomes, learning outcomes, and program data across undergraduate and graduate populations
  • Develop dashboards, reports, and visualizations that clearly communicate insights to staff, leadership, and external stakeholders
  • Respond to ad hoc data requests from senior leadership and campus partners
  • Track and report on key performance metrics, including advising, events, employer engagement, and resource utilization
  • Identify trends and translate findings into clear, actionable insights that inform strategy and resource allocation
  • Support senior career center leadership in decision making by synthesizing complex data and presenting clear reports to support short-term and long-term strategies

First Destination Survey and Outcomes (20%)
  • Own the full lifecycle of the First Destination Survey, including methodology, design, administration, and reporting for all graduating students
  • Ensure alignment with national standards and maintain a strong knowledge rate
  • Lead analysis and reporting of career outcomes data for both undergraduate and graduate populations
  • Integrate additional data points including survey data, internship reports, employer feedback, program evaluations, and others into reporting efforts
  • Produce annual outcomes reports, including data visualizations and presentations to support institutional reporting

Assessment, Partnerships, and Communication (10%)
  • Develop and manage the Career Center's assessment plan and key performance indicators
  • Partner with Institutional Research, academic units, Advancement, Alumni Relations, and other stakeholders on data sharing and reporting
  • Proactively explore and prepare timely reports to guide data-driven decisions around programming, goal setting and performance metrics
  • Present findings to internal and external audiences, including senior leadership
  • Train staff on data literacy, dashboards, and use of data in decision-making

Analytics Innovation and Enablement (5%)
  • Lead the development of advanced analytics, including predictive modeling and applied AI, to enhance forecasting, student engagement strategies, and outcome analysis
  • Apply data visualization best practices to improve clarity, usability, and impact of reporting tools
  • Identify opportunities to modernize data systems, including real-time reporting and cloud-based analytics
  • Evaluate and implement new tools and technologies that improve data collection, analysis, and reporting capabilities

Professional Development & Center Support (10%)
  • Conduct regular research on higher education, career, and data strategy to propose adjustments to current strategies or address evolving challenges and opportunities
  • Participate in professional development activities related to data and assessment in higher ed and career services
  • Support the planning and execution of career center events and initiatives

What We're Looking For
Qualifications
Required
  • Bachelor's degree
  • 3-5 years of experience in data analytics, reporting, or data management
  • Strong analytical skills with the ability to interpret complex data and communicate insights clearly to diverse audiences
  • Advanced proficiency in Excel and experience with data visualization tools (e.g., Power BI, Tableau)
  • Demonstrated experience developing dashboards and reports for decision-making
  • Experience working with multiple data systems and integrating data from various sources
  • Strong collaboration and communication skills, with the ability to work across teams and functions

Preferred
  • Degree in data analytics, statistics, data science, or a related field
  • Experience with survey tools and statistical software (e.g., Qualtrics, R, SPSS, SAS, or similar)
  • Strong understanding of data visualization best practices and user-centered reporting design
  • Experience with predictive modeling, forecasting, or applied AI in a professional setting
  • Experience working with enterprise data platforms or cloud-based analytics environments
  • Knowledge of FERPA and data privacy standards in higher education

Why You'll Love Working Here
As the Data Strategy Analyst, you'll play a key role in helping the Brandeis Career Center measure and communicate its impact across undergraduate and graduate programs. Your work will shape strategy, inform institutional decision making, and ensure the Career Center uses data to continually improve programs, services, and student outcomes.
  • Join a growing, forward-thinking career center during an exciting period of transformation
  • Lead data strategy and analytics that directly influence organizational priorities and decision making
  • Partner with colleagues across the university and explore innovative approaches to analytics, data visualization, AI, and assessment to improve student success
  • Work on a collaborative team that values curiosity, continuous learning, innovation, and evidence-based decision making

Work Environment: Brandeis combines the educational model of a liberal arts college with the resources of a research university. At our core, we are a medium-sized residential campus that provides a robust in-person experience for students and community members. Career staff work 35 hours per week on a hybrid schedule, with flexible hours when available. Occasional early morning, evening, or weekend work may be required.
Benefits: We invest in our staff through ongoing training, mentorship, professional certification support, conference attendance, and opportunities to become leaders in the career services profession. Brandeis also offers a comprehensive and competitive benefits package designed to support your health, financial well-being, and work-life balance. Benefits include medical, dental, vision, disability, and life insurance; retirement savings; tuition assistance; employee discounts; voluntary insurance options; and free campus parking.
Pay Range Disclosure
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
Equal Opportunity Statement
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

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