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Data Developer & Analyst​/Report Writer

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Northeastern University
Full Time position
Listed on 2026-02-19
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Engineer, Data Warehousing
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
.Data Developer & Analyst/Report Writer page is loaded## Data Developer & Analyst/Report Writer locations:
Boston, MA (Main Campus) time type:
Full time posted on:
Posted Todayjob requisition :
R137508
** About the Opportunity**#
** Job Summary**# The Data Developer & Analyst / Report Writer is responsible for developing high-quality data transformations, analytics solutions, dashboards, and reports that enable decision-making across Northeastern University. This role bridges data engineering and analytics—building robust data pipelines in Snowflake while creating user-friendly reporting and visualization products in Power BI, Tableau, and other enterprise tools.

The developer will work across legacy data sources (Banner, Workday, Salesforce, Service Now, and others) and transform them into clean, trusted data models that support operational analytics, strategic reporting, automation, and emerging AI-driven insights. This role is critical to enabling data-informed decisions across academic, administrative, and enterprise functions.
*** Applicants must be authorized to work in the United States. The University is unable to work sponsor for this role, now or in the future.***#
** Minimum Qualification
** Knowledge and skills required for this position are typically acquired through the completion of a Bachelor’s degree in Information Systems, Computer Science, Business Analytics, Data Science, or a related field and six years of experience in analytics, BI development, or data engineering.
* Experience developing reports, dashboards, and analytics solutions using Power BI, Tableau, or equivalent tools.
* Experience transforming complex enterprise data into usable models (Snowflake preferred).
* Experience working with large-scale administrative systems such as Banner, Workday, Salesforce, or Service Now.
* Effective analytical thinking and problem-solving skills, with ability to translate business questions into analytical requirements and datasets.
* Effective communication skills for partnering with non-technical stakeholders and documentation, validation, and quality assurance skills.
** Technical

Competencies:

*** Proficiency in SQL and Snowflake-based development.
* Experience with Power BI (DAX), Tableau (LOD expressions), or similar BI tools.
* Familiarity with ELT tools such as DBT, Fivetran, Informatica, or Matillion.
* Understanding of data modeling concepts (star schema, snowflake schema, semantic models, incremental loads).
* Ability to design visualizations aligned with best practices in UX for data.
* Experience with Git-based versioning for analytics projects.#
** Key Responsibilities
*
* 1) Data Development & Transformation
* Develop SQL-based transformations in Snowflake, DBT, or similar tools to prepare clean, reliable, analytics-ready datasets.
* Create reusable data models (views, marts, semantic layers) aligned to governance and data product standards.
* Build incremental, automated ELT pipelines that integrate data from Banner, Workday, Salesforce, and Service Now.
2) Reporting, Dashboards & Visualization
* Develop dashboards, reports, and visual analytics in Power BI, Tableau, and/or other enterprise tools.
* Implement KPIs, metrics, data definitions, and self-service semantic layers in alignment with institutional reporting standards.
* Work with business owners to translate requirements into intuitive, actionable reporting solutions.
3) Business Analysis & Requirements Gathering
* Engage with administrative, academic, and research stakeholders to understand reporting needs.
* Document business definitions, data logic, and report specifications.
* Support data literacy across university units by helping users interpret and analyze insights.
4) Data Quality, Testing & Validation
* Ensure data accuracy, consistency, and reliability across data models and reporting outputs.
* Implement data validation, testing scripts, and automated quality checks.
* Troubleshoot data discrepancies and maintain strong documentation.
** Position Type
** Information Technology
** Additional Information
** Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northea…
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