Senior Tech & PM Analyst, Reproductive Health (Hybrid)

Upstream-USA

Boston (MA)

Hybrid

USD 100,000 - 110,000

Full time

14 days+
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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
401K with match
Generous vacation

Job summary

Upstream USA is seeking a Sr. Analyst for Technology & Project Management in a hybrid role based in the Boston area. You will manage DAT initiatives end-to-end, including data migrations, IT ops improvements, and data-layer strategy, while driving automation and AI adoption.

You will partner with leadership to turn ambiguous needs into concrete plans, build dashboards, and support the organization with hands-on execution in a lean environment.

Qualifications

  • Excellent written and verbal communication; able to translate between technical and non-technical audiences.
  • 4+ years in project management, data analysis/reporting, and technology/operations.
  • Experience with agile/Kanban work-management systems (Asana, Autotask, etc.).
  • Hands-on data analysis and reporting; dashboards and ETL-type work.
  • Comfort developing strategy and executing iteratively; bias toward action.

Responsibilities

  • Own end-to-end project management for DAT initiatives on roadmap, including data migrations and IT ops improvements.
  • Manage scope, timelines, dependencies, and stakeholders using agile methods; keep work visible and on track.
  • Coordinate cross-departmental work and contribute technically on data warehouse / data-layer strategy.
  • Build MVP workflow automations; translate staff pain points into repeatable workflows; train others.

Skills

Communication
Stakeholder mgmt
Agile/Kanban
Data analysis
Reporting
AI tools familiarity

Education

Bachelor’s degree in IT/CS/Analytics

Tools

Power BI
Google Sheets/Excel
Asana
Autotask

Job description

Upstream USA is seeking a Sr. Analyst for Technology & Project Management in a hybrid role based in the Boston area. You will manage DAT initiatives end-to-end, including data migrations, IT ops improvements, and data-layer strategy, while driving automation and AI adoption.

You will partner with leadership to turn ambiguous needs into concrete plans, build dashboards, and support the organization with hands-on execution in a lean environment.

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