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PTC

Junior Data Analyst/Analytics Engineer

Posted Yesterday
In-Office
Boston, MA, USA
85K-95K Annually
Junior
In-Office
Boston, MA, USA
85K-95K Annually
Junior
Partner with stakeholders to define metrics and deliver dashboards and insights. Build and optimize data models in Amazon Redshift, design and maintain scalable ETL pipelines using Python and Apache Airflow, monitor data quality and pipeline performance, and participate in code reviews and engineering best practices to support analytics and reporting needs.
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Our world is transforming, and PTC is leading the way. Our software brings the physical and digital worlds together, enabling companies to improve operations, create better products, and empower people in all aspects of their business. 

Our people make all the difference in our success. Today, we are a global team of nearly 7,000 and our main objective is to create opportunities for our team members to explore, learn, and grow – all while seeing their ideas come to life and celebrating the differences that make us who we are and the work we do possible.  

About the Role

The Velocity business unit is a fast-moving, start-up-like organization within the broader PTC ecosystem. We support the Onshape and Arena businesses and own the analytics ecosystem that enables data-driven decision-making.

We are hiring a Data Analyst/Analytics Engineer who is both business-savvy and eager to grow their technical analytics skills. The successful candidate will build and support reporting and analytics solutions for business stakeholders, create complex data models, and design, develop, and maintain data pipeline integrations.

This is a hybrid role based in Boston, MA, and regular in-office presence is required to support collaboration, mentorship, and team engagement.

Responsibilities

  • Partner with data analysts and stakeholders to translate business questions into clear metrics aligned with GTM objectives
  • Deliver actionable, data-driven insights to stakeholders that clearly demonstrate business impact and inform decision-making
  • Build, model, and optimize datasets in Amazon Redshift to support analytics and reporting use cases
  • Design, build, and maintain scalable and reliable data pipelines for ingesting, transforming, and storing data using Python and Apache Airflow
  • Monitor, troubleshoot, and optimize data pipelines to ensure data quality, performance, and reliability
  • Contribute to data quality initiatives, including validation, testing, and automation
  • Participate in code reviews and follow established engineering best practices

Required Skills and Experience

  • Bachelor’s degree (or equivalent experience) in Data Engineering, Computer Science, Mathematics, Statistics, Engineering, or a related field
  • Experience building dashboards in Looker or other business intelligence tools
  • Experience using SQL for querying data, building data models, and implementing transformation logic
  • Ability to operate in a stakeholder-facing environment, translating business requirements into technical specifications
  • Strong analytical, problem-solving, and communication skills
  • Professional experience in data engineering, software engineering, analytics engineering, or a related role (internship or co-op experience included)
  • Exposure to Python, particularly for data processing or pipeline development

Nice to Have

  • Experience with CI/CD tools such as GitHub Actions, Bitbucket Pipelines, or similar
  • Experience deploying, monitoring, and maintaining ETL applications or services in AWS
  • Familiarity with Jira or similar agile project management tools
  • Hands-on experience building or supporting data pipelines
  • Experience or familiarity with Apache Airflow or other workflow orchestration tools
  • Exposure to Amazon Redshift or similar cloud data warehouse technologies
  • Familiarity with Git-based source control and collaborative development workflows

Additional Requirements

  • Comfortable engaging with business and non-technical stakeholders to understand requirements and use cases, with support from Data Analysts
  • Ability to clearly explain code, data models, and technical decisions
  • Willingness to learn data engineering architecture and best practices
  • Strong collaboration skills and comfort working in a hybrid, team-oriented environment
  • Attention to code quality, maintainability, and long-term scalability
  • Candidates must be authorized to work in the U.S. without current or future employer-sponsored visa support (including H-1B)

PTC carefully considers a wide variety of factors when determining compensation. The anticipated annual salary range for this position is between $85,000 - $95,000. The salary range reflects a good-faith estimate of compensation at the time of posting. Actual compensation may vary based on a candidate's skills, qualifications, experience, and location. Additionally, candidates may be eligible for a performance-based bonus.  Employees also have the opportunity to become a PTC shareholder through our employee share purchase program (ESPP), which allows for the purchase of discounted PTC stock. Certain roles may also be eligible for participation in our equity programs. Employees may be eligible for medical, dental and vision insurance, paid time off and sick leave, tuition reimbursement, 401(k) contributions and employer match, flexible spending accounts, life insurance, disability coverage and, if you are an office-assigned employee, a generous commuter subsidy. All total rewards and benefits programs are subject to applicable plan eligibility and other terms and conditions.  

For more information about PTC’s comprehensive benefits, please visit our Careers Page 

PTC recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled.  

At PTC, we believe in the power of diverse ideas and perspectives. As a global company that values and respects all identities, cultures, and perspectives, we strive to create an inclusive PTC for ALL through an environment where everyone feels like they belong and are empowered to bring their true, authentic selves to work. Proud to be an Equal Opportunity Employer, we welcome applicants from all backgrounds and hire without regard to race, national origin, religion, age, color, ethnicity, ancestry, marital status, sex (including pregnancy), sexual orientation, gender identity, gender expression, genetic information, disability, veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
For more information about PTC’s comprehensive benefits and our AI usage, please visit our Careers Page (https://www.ptc.com/en/careers/united-states-careers). Applications will be accepted on an on-going basis until the opportunity is filled.
PTC endeavors to make ptc.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact PTC's Talent Acquisition team at [email protected]. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

Life at PTC is about more than working with today’s most cutting-edge technologies to transform the physical world. It’s about showing up as you are and working alongside some of today’s most talented industry leaders to transform the world around you. 

If you share our passion for problem-solving through innovation, you’ll likely become just as passionate about the PTC experience as we are. Are you ready to explore your next career move with us?

We respect the privacy rights of individuals and are committed to handling Personal Information responsibly and in accordance with all applicable privacy and data protection laws. Review our Privacy Policy here."

HQ

PTC Boston, Massachusetts, USA Office

121 Seaport Blvd, Boston, MA, United States, 02210

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