Senior BI & Marketing Analyst
PeopleFinders · United States · 1 mo ago
RemoteRemoteMarketing$110k–$120k/yrFull-time
About the role
PeopleFinders.com – Remote – Reports to Performance Marketing Leadership
The Senior BI & Marketing Analyst is the company’s hands‑on business intelligence resource, responsible for turning data from across the business into timely, accurate reporting and actionable insight — with a particular focus on performance marketing. The role partners with marketing leadership to define data needs and personally executes analysis, reporting, and dashboard development.
Responsibilities
- Analyze customer acquisition performance across paid search, display, affiliate, and organic channels – spend efficiency, conversion rates, cost per acquisition, and cost per subscriber – and recommend optimizations to the performance marketing team.
- Build and maintain reporting on subscription funnel economics: trial starts, trial‑to‑paid conversion, rebill/retention, churn, and customer lifetime value by channel and campaign.
- Analyze A/B and pricing test results to guide decisions on page content, UX, offers, and pricing.
- Investigate anomalies in traffic, conversion, and revenue data; distinguish real business changes from tracking or attribution artifacts before findings reach stakeholders.
- Retrieve and aggregate data from multiple sources (web analytics, ad platforms, billing/subscription systems, internal databases) into clear, actionable reporting for stakeholders at all levels.
- Design, build, and maintain automated dashboards and reporting solutions in Domo, migrating existing manual and legacy reporting into governed, automated pipelines.
- Automate and optimize existing manual data workflows, reducing time‑to‑insight and error risk.
- Partner with leadership to define key metrics, KPIs, and dashboards that measure business performance; maintain clear metric definitions and a single source of truth.
- Plan the reporting and analytics roadmap at a high level with business owners, then prioritize and execute the work individually and with BI contractors.
- Work with cross‑functional teams (marketing, product, engineering, finance) and external agency partners on day‑to‑day execution of analytics projects and initiatives.
- Coordinate work with BI contractors supporting platform development, reviewing output for quality and consistency.
Basic Qualifications
- 3+ years of experience in business intelligence, marketing analytics, or a comparable analytical role.
- Strong SQL skills, with experience querying and aggregating large datasets from multiple sources; experience with cloud data warehouses (Snowflake preferred).
- Hands‑on experience building dashboards and automated reporting in a modern BI platform; Domo experience is required (Power BI, Tableau, or Looker also relevant).
- Direct experience supporting a performance marketing or growth team (paid search, display, affiliates).
- Experience with subscription or trial‑based D2C business models and their economics (LTV, ROAS, churn, cohort analysis).
- Advanced Excel skills, including complex functions, pivot tables, and linked, multi‑source workbooks.
- Demonstrated ability to ramp quickly on a new business, industry, and unfamiliar datasets — investigating, mastering, and documenting them with minimal guidance.
- Ability to operate at both altitudes: shape analytics priorities with leadership, then personally deliver the work end‑to‑end.
- Strong communication skills — able to present complex quantitative findings in a simple, intuitive format to executive audiences.
- Self‑starter with high standards for quality, performance, and accuracy.
Preferred Qualifications
- Familiarity with Google Analytics (GA4), UTM‑based attribution, and combining web analytics with internal data.
- Experience working with billing/subscription platform data (e.g., Recurly, Chargebee, Stripe).
- Experience analyzing A/B tests with tools such as VWO, Optimizely, or similar.
- Experience collaborating with external media agencies or BI contractors.
- Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Statistics, Mathematics, Engineering, or equivalent work experience.
Benefits
- 401(k) with matching
- Medical, Dental, Vision, and Life Insurance
Pay
Salary range: $110,000 – $120,000