Junior Data Analyst/Analytics Engineer

Overview We are hiring a Data Analyst/Analytics Engineer to build and support reporting and analytics solutions for the Velocity business unit. This hybrid role is based in Boston, MA and requires regular in‑office presence. 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). Compensation Anticipated annual salary range: $85,000–$95,000. Actual compensation may vary based on skills, experience, and location. Performance‑based bonus and eligibility for PTC share purchase program may also apply. Benefits Medical, dental and vision insurance. Paid time off and sick leave. Tuition reimbursement. 401(k) contributions with employer match. Flexible spending accounts. Life insurance and disability coverage. Commuter subsidy for office‑assigned employees. Equal Opportunity Employer / EEO Statement PTC is a global company that values and respects all identities, cultures, and perspectives, and we strive to create an inclusive PTC for ALL. 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. Proud to be an Equal Opportunity Employer, PTC welcomes applicants from all backgrounds and hires without regard to race, national origin, religion, age, color, ethnicity, ancestry, marital status, sex, sexual orientation, gender identity, gender expression, genetic information, disability, veteran status, or any other characteristic protected by local, state, or federal laws, rules, and regulations. #J-18808-Ljbffr