Analytics Engineer

Till Financial•Brooklyn, NY

1d•Hybrid

About The Position

Till is seeking an Analytics Engineer to help build its data function during a period of growth. Working alongside the Data Analytics Lead, this will be the first dedicated data hire and will take on a growing share of analysis and reporting while building the dbt models that power it. The role focuses on family banking analytics, including shared accounts, distinct parent and child experiences, and customer relationships that evolve over time. The initial priority is marketing analytics. The Analytics Engineer will partner with the Growth and Lifecycle Marketers on attribution, conversion, engagement, acquisition spend, segmentation, and campaign measurement. They will also support Product, Engineering, and Operations by turning open questions into analysis and recommendations grounded in the product and business. The role builds tested, documented dbt models in Snowflake and creates ad hoc reports and durable Metabase dashboards. It also supports reliable customer and event data flows into the customer engagement platform, contributes to the measurement framework, investigates anomalies, and provides input on tools, infrastructure, and future hires. The position reports to the Analytics Lead.

Requirements

Bachelor’s degree in a quantitative, analytical, or technical field, or commensurate work experience.
2–5 years of experience in analytics engineering, data analytics, or a similar role; fintech or financial services experience is preferred.
Strong SQL skills, including production modeling and exploratory queries.
Experience building models with dbt, SQLMesh, or a similar tool, and using Git for version control and code review.
Experience with a cloud data warehouse such as Snowflake, BigQuery, or Redshift.
Experience with a BI tool such as Metabase, Looker, Tableau, or Mode, and a product analytics tool such as Mixpanel or Amplitude.
Experience with marketing data, including attribution, conversion, and engagement, as well as supporting at least one other function.
Working proficiency in Python for analysis and light scripting.
Ability to communicate findings to technical and non-technical audiences and connect them to business decisions.
Authorization to work in the United States; employment visa sponsorship is not available.

Nice To Haves

Experience getting data into a customer engagement platform such as Braze or Iterable, and supporting segmentation and campaign measurement.
Experience using Meta or Google Ads data to measure campaign performance and acquisition cost, or building reports in Google Analytics.
Experience designing A/B tests and analyzing results.
Experience analyzing retention, churn, or revenue for a subscription product.
Experience building workflows in Airflow or another orchestration tool.
Experience using AI tools to work more efficiently, with sound judgment about when analysis should be led directly.

Responsibilities

Partner with marketing on reporting for acquisition, attribution, conversion, and engagement across the data warehouse and product analytics.
Maintain the measurement framework that guides acquisition spending and lifecycle programs.
Ensure relevant customer and event data flows reliably into the customer engagement platform and help teams interpret it.
Turn open-ended questions into analysis and recommendations tied to the product, business context, and appropriate next steps.
Investigate anomalies and open questions proactively.
Build efficient, tested, and documented dbt models in Snowflake.
Create ad hoc reports and long-lived Metabase dashboards for teams across the company.
Present findings in the format suited to the audience, such as dashboards, documents, decks, or spreadsheets.
Provide input on data tools, infrastructure, and future hires as the data function grows.