BI Analyst

Zefr•New York, NY

2d•$130,000 - $150,000•Hybrid

About The Position

As a BI Analyst at Zefr, you will bridge the gap between data engineering and business analysis. You will help design foundational dashboards to measure the success of our products and generate insights by scoping and executing deep dive analysis. You’ll work closely with partner teams, product, sales, engineering, and operations, to gain a deep understanding of key user needs and business problems, and drive analytical projects to solve them. In this unique role, you will also be expected to drive the triage and resolution of high-impact business questions, ensuring stakeholders receive timely support, working towards a scalable, self-service data product. Additionally, you will be responsible for prototyping rapid data solutions to bridge product gaps while long-term solutions are being built.

Requirements

Education: Bachelor’s or Master’s degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Business Analytics) or relevant experience.
Experience: 3+ years of experience in analytics engineering, business intelligence, or data analytics, preferably within ad tech or media.
Technical Skills: Strong expertise in SQL and BI tools (specifically Looker); proficient in reading and writing Python; experienced with Snowflake and BigQuery; some exposure to ETL and data warehousing.
Communication: A collaborative communicator who fosters strong relationships across both technical and business functions.
Adaptability: You possess a high degree of adaptability, ready to enthusiastically dive into new fields with a resourceful, hands-on mindset to solve complex problems.
Autonomy: Comfortable operating independently to deliver results in a rapidly evolving landscape.

Nice To Haves

Familiarity with advertising metrics, brand safety, and platform-specific analytics (e.g., YouTube or TikTok) is a strong plus. Additionally, experience with BigQuery or ADH is a plus.

Responsibilities

Metric Design & Strategy: Spearhead the development of a robust metrics layer that not only tracks performance but proactively guides decision-making and reveals new opportunities for internal stakeholders.
Dashboarding & Automation: Empower stakeholders with intuitive, automated dashboards that monitor product health, ensuring data availability scales seamlessly as the business grows.
Self-Service Infrastructure: Scale our ability to serve customers by automating data delivery, ensuring our frontline teams have reliable, self-service access to the metrics that matter without relying on ad-hoc requests.
Operational Support: Orchestrate the resolution of high-velocity data requests from internal stakeholders, ensuring critical business questions are answered efficiently.
Gap Analysis & Solutions: Identify product gaps and deploy rapid-response data solutions or custom data pulls to ensure business continuity while partnering with engineering on long-term fixes.
Cross-Functional Collaboration: Collaborate with stakeholders to define the highest-value opportunities, delivering end-to-end data solutions that eliminate blind spots and drive measurable business impact.