Data Services Lead

Position Summary: Candid is a nonprofit that provides the most comprehensive data and insights about the social sector. We get you the information you need to do good. Candid currently has an opportunity for a Data Services Lead. The Data Services Lead will work with a team of data experts to deliver valuable data services, insights, and reporting about the social sector to a wide range of external and internal stakeholders every day. This client facing and technical role will help shape the way we deliver data services products to clients. Please note that this job is only for internals and will be open for two weeks.

Position: Data Services Lead

Reporting to: Senior Data Services Manager

Supervises: N/A

Schedule: 35-hour work week, Monday through Friday

Compensation: $64,000 - $100,000 (this range is for the NYC area and will be adjusted for other localities; additionally, factors like skills and experience will be considered).

Location: Remote. In-person attendance is expected twice per year during our annual, weeklong all-staff summits. Additional in-person meeting participation is expected at least once per quarter for senior leaders and at least once per month for the executive team. Staff not located in the NYC area are expected to travel for these meetings. 

Benefits: Health insurance (medical, dental, vision), retirement contribution with additional option for a match, paid life insurance and AD&D, paid leave time (PTO, compassionate leave, volunteer, holiday, parental), short-term and long-term disability, pre-tax transit, flexible spending accounts, supplemental insurance, summer hours, and Public Service Loan Forgiveness (PSLF) program eligible employer.

Responsibilities  

• Administer and oversee the delivery of custom one-time and managed datasets- working with the sales team to scope client needs, consulting on the generation of sales estimates, client communication, design, documentation and delivery of custom data extracts, and post-delivery client support
• Act as a trusted subject matter expert, providing guidance on complex data questions for clients and internal stakeholders
• Implement technical initiatives to improve organizational efficiency by designing and implementing standards, automation, and scalable frameworks that enable consistent, high-quality data delivery
• Design, build, and maintain technical frameworks for our team – enabling us to develop and deliver consistent, high-quality data sets quickly
• Manage the backlog of data and process improvement opportunities needed to advance our program and offerings
• Partner with the Senior Data Services Manager and Products in development and assessment of new data product ideas
• Provide technical leadership/oversight for junior staff that fosters skill development
• Develop and maintain analytics and monitoring capabilities to assess data quality, coverage, and other metrics, surfacing insights that inform product development and organizational decision-making
• Take on special projects as assigned

As a member of Candid’s Data Services team, you will: 

• See data as fun and interesting and bring a spirit of inquiry to your work each day
• Enjoy being a member of a collaborative team that works together to achieve shared goals
• Have a strong aptitude for learning new techniques for analysis and visualization of data
• Enjoy working with a wide variety of stakeholders – to understand their needs and consult with them on the ways our data can help meet those needs 
• Bring high standards and a process improvement mind-set to your work and to the team - helping us to develop more efficient, effective and value-add -solutions every day
• Act as a role model for Candid’s values while fostering a culture of collaboration and growth

Requirements  

• Detail-oriented yet able to see the big picture and set priorities that align with organizational goals
• Ability to quickly become versed in Candid’s data definitions and meaning, and guide others in applying this knowledge
• Experience interpreting complex data requests and designing solutions that balance client needs with technical feasibility
• Ability to apply various mathematical calculations and statistical techniques to datasets
• Ability to synthesize large datasets into actionable insights and recommend improvements to internal processes and frameworks
• Skilled in drafting recommendations and leading efforts to address technical improvement opportunities for the team
• Advanced ability to write SQL f