About Swing Left

Swing Left is a national grassroots organization working to elect Democrats up and down the ballot. We make it possible for anyone to make a big impact on the elections that determine the balance of power in our country, by volunteering and donating in key races. Since our founding in 2017, the Swing Left community has raised $38 million directly for Democratic candidates and civic organizations, and completed 35 million volunteer-driven voter contact actions, including door knocking, phone calls, and letter writing.

Overview

The Data Analytics Manager, Marketing is responsible for drawing insights from user behavior, product performance, and program data to inform key strategic and operational decisions in the organization. This role will work with a number of data providers and systems, alongside leaders from across the organization, to collect, store, analyze, and present data in a well-structured and scalable way. They will help define and track key performance indicators around fundraising, volunteer activation, and marketing campaigns. This role reports to the Head of Product and is an at-will position that we anticipate will end after the 2022 election cycle, with the possibility of extension into the 2024 election cycle.

Responsibilities

Manage day-to-day analytics needs at Swing Left

  • Set up systems, dashboards, and processes for all levels of the company, including executive leadership, to monitor progress to goals and reflect on performance cycle over cycle.
  • Work directly with Engineering to establish scalable data architecture solutions.
  • Perform one-off and ad-hoc data pulls in support of event targeting, fundraising, election analysis, and email sends.
  • Identify and analyze user behavior (retention, tenure, conversion, etc.) across Swing Left’s products and programs.
  • Identify, collect, and transform data from disparate sources to tell a complete story around volunteer and donor activities.

Support growth, strategy, and performance analysis for the organization

  • Provide leadership across the organization to help develop a high-performance, data-driven mindset, define team priorities, track key metrics, and conduct analyses to inform key growth decisions.
  • Manage A/B testing strategies including design, execution, and analysis.
  • Trace conversion funnels and identify opportunities for user growth and funnel optimization in collaboration with Product and Marketing.
  • Define, create, and monitor key performance benchmarks and metrics for primary acquisition channels.
  • Provide leadership across the organization to help develop a high-performance, data-driven mindset, define team priorities, track key metrics, and conduct analyses to inform key growth decisions.
  • Understand how customer data is structured in the systems, and segment the database based on criteria (region, life cycle stage, persona) to best target a specific market or user type.

Support segmentation, targeting, attribution and diversification initiatives

  • Provide analytical leadership to inform targeting and expansion of user segments outside of core audiences.
  • In deep collaboration with the marketing team, help evaluate new and existing audiences for targeting, e.g. via email segmentation.
  • Perform cohort analysis and evaluate new / existing audiences to inform marketing spend decisions.
  • Trace conversion funnels and identify opportunities for improvement for user growth and funnel optimization for product and marketing.

Successful Data Analytics Manager candidates will have:

  • 4+ years of experience in data analytics, consulting, or similar quantitative roles with some background in any combination of marketing, growth, product and/or web analytics.
  • Fluent in SQL.
  • Demonstrated track record building data systems and processes for start-ups and/or fast-growing organizations.
  • Marketing domain knowledge: customer lifecycle / CRM / segmentation, marketing funnels and metrics, A/B testing methodologies, paid ads, customer experience, and qualitative insight.
  • Experience with data visualization, working with large datasets, and statistical analyses.
  • Experience using a cloud warehouse such as Snowflake or Redshift.
  • Strong communication skills and the ability to manage and lead cross-functional initiatives.
  • Understanding of web analytics platforms such as Google Analytics, Amplitude, Segment, etc.
  • Understanding of user segmentation, cohort analyses, regression models, and funnel optimization.
  • Ability to work independently and be comfortable with creating clarity where there is otherwise ambiguity.
  • Willingness to work the full gamut of tasks from banal-but-important one-off requests to highly-impactful strategic analysis.

Preferred qualifications:

  • Familiarity with R, STATA, Python or other more advanced analytical tools is helpful but far from required.
  • Experience in management consulting or internal strategy.
  • Experience working for a political campaign.

Working at Swing Left

The Data Analytics Manager position is a full-time, remote position. The salary range for this position is $80,000-$95,000 annually. In addition to health, dental, vision, and retirement benefits, Swing Left’s benefits package includes a professional development fund, a remote work fund, and a technology stipend for all employees. We are happy to answer any questions you have about our benefits, parental leave policies and other, similar benefits in interviews.

We are an equal opportunity employer and seek applications from all qualified candidates who are eligible to work in the United States. However, we are not able to sponsor visas at this time.

We believe that the GOP's bad behavior disproportionately hurts the most marginalized people in society — including people of color, people from working-class backgrounds, people with disabilities, women and LGBTQ people. As we seek to build both a political system and organization that represents and uplifts these voices, we strongly encourage applications from people with these identities and members of other marginalized communities.