Senior Data Analyst

About the Opportunity

Job Summary Under the supervision of the Data Quality & Research Administration Analytics Manager and with support of senior level team members, the Senior Data Analyst will work closely with key stakeholders to identify and conduct data analysis projects that support the mission and goals of the University and Northeastern University Research Enterprise Services (NU-RES). The Senior Data Analyst will provide support to key projects through data collection, computational support, and data interpretation and reporting, and will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures to systematize the data reporting process.

The incumbent will use advanced data modeling, predictive modeling, and analytical techniques to develop reports used in key data submissions to internal and external stakeholders. Possess a good sense of humor, ability to be calm under pressure, and effectively communicate with report requestors to ascertain requirements for reports that tell an accurate story. This job may also be based in Boston.

• 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.
• Proficiency with business intelligence and reporting tools such as Cognos or Snowflake preferred.
• 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.
• Experience working with university research administration data and systems preferred.
• Experience documenting business procedures and processes preferred.
• Understanding of, and experience in, using AI-enabled tools to provide appropriate levels of support to daily work.
• Familiarity with electronic research administration (eRA) systems (e.g., Coeus, ePAWS, or similar eRA platforms) preferred.

• 45% — Data Collection, Assessment, Interpretation, and Reporting 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.
• 25% — Data Visualization 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.
• 10% — System Support Evaluate and test back-end changes to electronic research administration systems as they impact data quality and…