[Remote] Sr Data Analyst

Note: The job is a remote job and is open to candidates in USA. Northeastern University is an academic institution supporting research and university operations. The Senior Data Analyst will conduct data analysis projects, develop predictive models and dashboards, ensure data quality, and support reporting and strategic decision-making for Research Enterprise Services.

Responsibilities

• Collect relevant data (both internal and external) to be used by college constituents to support decision making and strategic direction, resource allocation, internal and external reporting, and other operational decisions. Success factors include the accuracy and relevance of the data, analysis, and the clarity and usefulness of final reports. Develop and iterate on self-service reports and dashboards with an eye towards automation and re-use. Manage data sourced from both legacy systems (e.g., Coeus) and current eRA platforms (e.g., ePAWS 2.0), ensuring continuity and accuracy across reporting environments
• Oversee the development and maintenance of key performance dashboards that show progress toward strategic and operational goals related to research. Work closely with Research Enterprise Services stakeholders to identify opportunities for additional dashboard requirements as needs evolve. Develop and iterate on self-service reports and dashboards with an eye towards automation and re-use. Tools include Tableau (including Tableau Prep and Tableau Server), Cognos, and other visualization platforms as applicable
• Evaluate and test back-end changes to electronic research administration systems as they impact data quality and access, including connectivity with Tableau and the Cognos Data Warehouse environment. Monitor data quality in reports and adjust as needed. Support migration activities between legacy and current systems, including data validation and reconciliation tasks
• Identify opportunities to define areas for process improvement and work with stakeholders to design and build technical processes that improve efficiencies and address business issues and needs. Develop and maintain documentation of data pipelines, reporting logic, and source-of-truth definitions to support team continuity and institutional knowledge
• Perform ad hoc research and analysis to support special projects and strategic initiatives serving faculty and staff across Research Enterprise Services in meeting their reporting and analytical needs. May include supporting AI-assisted data extraction, research analytics benchmarking, and cross-institutional data collaborations

Skills

• Bachelor's Degree in a relevant subject area (e.g., computer science, data science, mathematics, statistics, information technology, or related field); 3+ years of experience with querying databases, SQL, and Microsoft Excel; experience developing robust dashboards using Tableau and/or Power BI; creating visuals using data visualization best practices
• Understanding of, and experience in, using analytical concepts and tools, including data modeling and predictive analytics
• Project management, time management, and communication skills necessary to execute responsibilities in a collaborative, academic setting
• Teamwork and collaboration in a professional setting
• Demonstrated curiosity, problem-solving skills, and ability to meet deadlines
• Excellent written and oral communication skills with ability to advise and clearly communicate ideas and results to non-technical audiences
• Strong ability to manage multiple assignments while working in a fast-paced, deadline-driven environment
• Ability to maintain a positive attitude and work well independently, within a team environment, and with external users as well as a variety of internal audiences
• Understanding of, and experience in, using AI-enabled tools to provide appropriate levels of support to daily work
• Applicants must have current work authorization for the country in which they will be based
• Applicant must be legally entitled to work in Canada for the duration of the appointment or employment without employer sponsorship
• Proficiency with business intelligence and reporting tools such as Cognos or Snowflake preferred
• Experience working with university research administration data and systems preferred
• Experience documenting business procedures and processes preferred
• Familiarity with electronic research administration (eRA) systems (e.g., Coeus, ePAWS, or similar eRA platforms) preferred

Benefits

• Medical coverage for benefit eligible employees
• Vision coverage for benefit eligible employees
• Dental coverage for benefit eligible employees
• Paid time off for benefit eligible employees
• Tuition assistance for benefit eligible employees
• Wellness and life benefits for benefit eligible employees
• Retirement benefits for benefit eligible employees
• Commuting and transportation benefits for benefit eligible employees

Company Overview