Senior Manager, Data and Analytics

Summary

Join Upstream's Data, Analytics, and Technology Team as a Senior Manager of Data and Analytics, reporting to the Director. You will manage the strategy and implementation of data solutions, acting as a hands-on player-coach. Responsibilities include developing and maintaining Upstream's data management vision, managing the data architecture, and implementing data strategy and governance. You will optimize user experience with Upstream's technology stack and manage key data and technology projects. The ideal candidate will have 6-8 years of experience in data, expertise in data modeling and processing, and experience with cloud data warehouses. Upstream offers a comprehensive benefits package.

Requirements

• 6-8 years of experience in data, including
• Expertise in modeling and processing complex data sets (ELT, data validation techniques) using code-based and low-code tools
• Expertise in database query languages (SQL), ability to manage mid-sized corporate databases
• Experience in cloud data warehouse (Snowflake preferred), data ingestion, and data modeling methods, tools and technologies
• Experience implementing Data Ops (CI/CD) structures and practices into regular development
• Expertise in Google Sheets / Excel to perform ad hoc analysis, reporting, and data delivery
• Experience working in an agile environment, using MVP approaches to scope and deliver value form data solutions
• Able to analyze large volumes of complex information/data and present in a clear, concise and intuitive manner
• Able to work in fast-paced environment and adapt to changing business conditions/requirements quickly
• Experience working independently or as part of a team in a distributed, hybrid/virtual environment, initiating and supporting business change
• Excellent interpersonal, as well as written and oral communication skills
• Proficient in both written and verbal communication in English
• 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

Responsibilities

• Manage and implement Upstream’s vision for data management, including development, maintenance, and management of priorities and a roadmap for evolving our data stack, talent, and practices; maintain a balance between accessibility for data developers/consumers, administrative complexity, and costs for a scaling nonprofit organization
• Assist and provide thought partnership to the Director of Data, Analytics, and Technology in developing, managing and prioritizing Upstream’s overall data, analytics and technology budget, architecture and roadmap including data governance, new data integrations, and software selections, and AI capabilities
• Manage Upstream’s data architecture, using data integration methods to create a definitive single source of truth for data, feeding reports and other analytics solutions
• Manage and implement Upstream’s data strategy, governance, policies, and procedures including organization wide data definitions, dimensions, metrics, databases and refresh schedules. Ensure quality of master data in key systems, as well as, development and documentation of processes, in collaboration with other functional data owners to support ongoing maintenance and data integrity
• Optimize end user experience with Upstream’s technology stack by defining user personas and recommending/implementing approaches to serve data and analytics solutions to different personas given their skills, needs, and priorities
• Scope and project manage key data and technology projects across systems. Wrangle data across sources, communicating and justifying logic and assumptions. Diagnose and solve data discrepancies in partnership with functional teams
• Use a distributed, center of excellence model to develop skills and technical knowledge of developers and functional owners around data management, data modeling, data transformations, project management, and communication
• Develop collaborative, cross functional relationships to facilitate the accomplishment of work goals; support employees and business partners with diverse styles, abilities, motivations, and/or cultural perspectives; and utilizes differences to drive innovation, engagement and enhance business results
• Additional duties as assigned

Preferred Qualifications

• Preferred experience in Python or related programming languages to support advanced data processing and analytics
• Preferred experience in data modeling for Power BI using DAX
• Preferred experience in data visualization and dashboard creation to support downstream business analysis
• Experience working within nonprofit, healthcare or reproductive health environments a plus

Benefits

Medical, dental, vision, life insurance, long and short term disability, 401K with a match, generous vacation, personal, sick and holiday time off, parental leave, professional development, a fitness and cell phone allowance for all full time employees and part time employees who work a minimum of 24 hours per week