Data Director

Liftoff is seeking a talented Data Director to join our growing team.

Liftoff is an innovative digital fundraising and communications firm. Our clients are statewide and local political campaigns, advocates, non-profits, and changemakers working to advance Democratic priorities.

The ideal candidate will thrive on creating and maintaining tools and systems, on building and optimizing internal processes for ingesting newly acquired email contacts, on creating reporting structures and generating accurate and visually appealing data outputs, and—most of all—on partnering with the email and leadership teams to figure out how we bring more science to the art of fundraising.

This is a compelling opportunity for an enterprising and mission-driven individual to build out a critical function on an exciting and fast-growing team. If you love manipulating data to set organizational strategy and elect Democrats, we would love to talk to you.

• Manage cross-department collaboration on needs of teams managing data tasks
• Manage and build upon Liftoff’s infrastructure for seamless reporting internally and externally, utilizing data from Act Blue, advertising data, email platforms, and broadcast and peer-to-peer texting platforms.
• Manage and build tools to track client performance and enable fundraisers to assess client strategy and make clear decisions.
• Manage strategy on reporting and analytics and working with leadership on growth opportunities
• Project management/workflow management and task assignment
• Mentor and manage team of analysts/engineers
• Manage external contracts and vendor relationships

• Passion for Democratic causes, whether candidates or other;
• 4-6 years of work experience with at least 1 cycle in digital fundraising;

• Strong professional knowledge of SQL including query optimization techniques.
• Proficiency in R or Python with specific experience using libraries such as pandas and numpy for data manipulation and analysis.
• Experience with dbt, particularly for building efficient data models and optimizing query performance.
• Experience working with existing APIs to connect and extract data from various CRM platforms including NGP, Everyaction, and/or Actionkit
• Understanding of relational database concepts and practical experience with Google Big Query or AWS Redshift
• Hands-on experience with data visualization tools such as Google Looker Studio, Tableau, or Power BI for creating actionable insights from complex datasets
• Experience building or maintaining data-intensive web applications on cloud architecture (AWS or Google Cloud Platform)
• Understanding of ETL processes and data pipeline management

The salary for this position is $100,000-$120,000

We also offer a generous benefits package:

• Federal holidays off (11-12 total days, Indigenous Peoples Day in off-cycle years)
• Employer-paid health, dental, and vision insurance
• Flexible work schedules and the option to work remotely anywhere within the United States and its territories with broadband internet
• 401k benefits with match after one year of employment

As soon as possible. The position will remain open until filled. To apply, .

We aim to be transparent and efficient in our hiring process. Each question you will be asked throughout our hiring process ties directly back to one of the skills and experiences listed above. In each interview, you will be asked to provide examples of these skills and experiences or how you would draw on your experience to handle a scenario commonly found  typical hiring process includes:

Liftoff is an equal opportunity employer and all applicants will be considered. We work to center our values and those of our clients in all aspects of our work, so our culture, clientele, policies, and practices are reflective and affirming of people — inclusive of their race, ethnicity, gender, sexual orientation, gender identity, religion, national origin, disability, veteran status, immigration status, citizenship status, and so much more.

We strongly encourage folks from underrepresented backgrounds to apply.