Sr. Analyst, Technology & Project Management (Reproductive Healthcare - Hybrid)

Upstream USA•Boston, MA

72d•$100,000 - $110,000•Hybrid

About The Position

Upstream's Data, Analytics and Technology (DAT) team works cross-functionally to ensure software, hardware, and data function optimally while leading improvement projects that shape the business and promote organizational effectiveness, efficiency, and data-driven decision making. The team also supports Upstream's growing, organization-wide use of AI. This role exists to expand the team's capacity to deliver. Reporting to the Manager of Data, Analytics, Technology & Security, the Sr. Analyst, Technology & Project Management partners closely with the DAT leadership team and colleagues across Upstream to own and move forward the work that keeps initiatives shipping: project management, data analysis and reporting, and the hands-on execution in between the planning and the doing, and adds a versatile, technically capable partner who can both plan the work and do it. The ideal candidate is a pragmatic, highly organized, and exceptional communicator who is as comfortable running a stakeholder meeting as building a report or completing a project. They are curious, detail-oriented, and energized by turning ambiguous needs into finished work in a fast-moving, lean environment.

Requirements

Exceptional communication and interpersonal skills, including clear writing and confident facilitation. Able to translate between technical and non-technical audiences and build trust with colleagues, vendors, and leadership.
4+ years of relevant experience across some combination of project management, data analysis/reporting, and technology/operations.
Demonstrated project management experience. Able to run multiple projects and incoming requests simultaneously, ideally using agile/Kanban methods and a work-management or ticketing system (Asana, Autotask, etc.).
Hands-on experience doing data analysis and reporting, building dashboards and reports (Power BI, Google Sheets/Excel) and preparing and transforming data ("ETL-type" work).
Demonstrates a strong bias toward action and ownership. Comfortable both developing strategy and executing it—delivering an initial solution quickly, then iterating and improving over time.
Proven ability to learn new systems and processes quickly and to solve ambiguous problems with high attention to detail.
Comfort with using AI tools and a willingness to experiment and innovate with them to help Upstream accelerate towards achieving our mission.
AI Fluency & Tool Integration: Ability to identify and leverage generative AI tools (such as LLMs, image generators, or industry-specific copilots) to streamline workflows, automate repetitive tasks, and enhance overall output quality while maintaining the proper human checkpoints.
AI Prompt Engineering & Critical Output Evaluation: Proficiency in crafting effective prompts to achieve desired outcomes and the critical thinking skills necessary to audit, fact-check, and refine AI-generated content for accuracy and brand alignment.
Ethical AI Awareness: A foundational understanding of the ethical implications of AI, including data privacy, bias recognition, and the responsible use of company information in third-party AI environments.
Demonstrates the ability to remain focused, adaptable, and solution-oriented in the face of challenges, setbacks, or ambiguity. Approaches obstacles with a growth mindset and maintains a steady commitment to goals, even under pressure or changing circumstances; resilient.
While we are a remotely based organization, we maintain an on-camera culture during meetings to support connection, engagement, teaming and collaboration. Must be comfortable and able to participate in this environment

Nice To Haves

Bachelor’s degree in Business, Information Technology, Computer Science, Data/Analytics, Engineering, or a related field, or equivalent work experience; relevant industry certifications are a plus.
Scripting (Python, Google Apps Script), SQL, or APIs.
Experience with ETL/ELT pipelines and data-warehouse tooling (e.g., Snowflake, Fivetran) and data validation techniques.
Familiarity or experience with Salesforce
Experience building workflow automations, AI agents, and other AI-based solutions.
Familiarity with SaaS administration and best practices.
Familiarity with enterprise AI platforms (Gemini, Claude, Cortex, etc.).
Experience in a healthcare, nonprofit, or other mission-driven setting.
Awareness of information security and/or HIPAA concepts.

Responsibilities

Own end-to-end project management, from intake through delivery, for DAT initiatives on the team's roadmap, including data migrations, IT operations improvements, and the central data-layer buildout.
Manage scope, timelines, dependencies, and stakeholders using agile/Kanban methods; align people on outcomes, owners, and deadlines, and keep work visible and moving, anticipating blockers and keeping initiatives and the team on track.
Cultivate cross-departmental relationships and drive projects to completion, bringing a technical skill set that lets you both coordinate the work and contribute to it directly, including by not limited to supporting Upstream's evolving central data warehouse / data-layer strategy.
Serve as a resource for turning data into decisions across teams.
Build and improve MVP (Minimum Viable Product) workflow automations and solutions that remove manual work across teams, then iterate based on real use and feedback.
Translate staff pain points and ideas into documented, repeatable, right-sized workflows. Train others so improvements stick and scale.
Drive initiatives to completion, often coordinating and contributing directly to the work.
Support software and hardware administration and asset lifecycle management (SaaS apps, laptops, office tech) and coordination with third-party technology vendors.
Support Upstream's AI adoption efforts with hands-on help on pilots, education and training, documentation, and change management.
Support selection, implementation, and administration across Upstream's SaaS application stack (Google Workspace, Snowflake, Power BI, Vena, ADP, Greenhouse, and others)
Help improve and, where possible, automate helpdesk and support functions; monitor and elevate recurring issues, propose, and help implement process enhancements.
Additional duties as assigned.