Hybrid Analytics Engineer

at Zefr

• Job title: Analytics Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $130,000 - $150,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: BigQuery, ETL, Python, SQL
• Location requirements: Hybrid, New York City, United States

About the role

• Analytics Engineer at Zefr designing dashboards and generating insights to measure product success. Collaborating with teams to solve business problems and drive data solutions.

Responsibilities

• Bridge the gap between data engineering and business analysis.
• Design foundational dashboards to measure the success of our products and generate insights.
• Work closely with partner teams, product, sales, engineering, and operations, to understand key user needs and business problems.
• Drive analytical projects to solve high-impact business questions, ensuring stakeholders receive timely support.
• Prototype rapid data solutions to bridge product gaps while long-term solutions are being built.
• Empower stakeholders with intuitive, automated dashboards that monitor product health.
• Scale ability to serve customers by automating data delivery, ensuring frontline teams have reliable, self-service access to metrics.
• Orchestrate the resolution of high-velocity data requests from internal stakeholders.
• 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.
• Collaborate with stakeholders to define the highest-value opportunities, delivering impactful data solutions.

Requirements

• Bachelor’s or Master’s degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Business Analytics) or relevant experience.
• 3+ years of experience in analytics engineering, business intelligence, or data analytics, preferably within ad tech or media.
• 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.
• A collaborative communicator who fosters strong relationships across both technical and business functions.
• You possess a high degree of adaptability, ready to enthusiastically dive into new fields with a resourceful, hands-on mindset to solve complex problems.
• Comfortable operating independently to deliver results in a rapidly evolving landscape.
• Familiarity with advertising metrics, brand safety, and platform-specific analytics (e.g., YouTube or TikTok) is a strong plus.

Benefits

• Flexible PTO
• Medical, dental, and vision insurance with FSA options
• Company-paid life insurance
• Paid parental leave
• 401(k) with company match
• Professional development opportunities
• 13 paid holidays off
• Summer Fridays (we leave early on select Fridays during the summertime)
• Flexible hybrid work schedule
• In-office lunches and lots of free food
• Optional in-person and virtual events (we like to celebrate!)