Remote Analytics Engineer 5: Campaign Insights Lead

Ladders; United States; Remote; USD 330,000 - 566,000; Full time

Benefits offered by this job

Health plans

401(k) with employer match

Stock option program

Disability programs

Family-forming benefits

Generous paid time off

Flexible time off

Job summary

Ladders is seeking an Analytics Engineer 5 - Demand Science to turn advertising and campaign data into actionable insights for planning and performance. You will partner with media planning, campaign strategy, and data engineering to define metrics and improve analytics quality.

Remote role for US-based candidates with strong SQL/Python and big data experience; compensation ranges from $330,000 to $566,000 annually.

Qualifications

• 5+ years of experience in data analytics or data science with independent analysis experience.
• Proficiency in SQL and Python, or similar tools, with big data technologies such as Hadoop and Spark.
• Ability to thrive in ambiguous situations with minimal oversight.
• Proven track record of influencing product decisions through analysis.
• Strong stakeholder management skills across diverse teams.
• Exceptional communication skills with a business-oriented mindset.
• Experience working in fast-paced, highly collaborative environments.

Responsibilities

• Partner with stakeholders on media planning and campaign analytics.
• Lead discovery efforts to proactively identify risks and opportunities.
• Develop and manage analytics, metrics, and tools for advertising demand.
• Transform data into actionable insights that improve campaign outcomes.
• Define and refine metrics for campaign and planning health.
• Collaborate with data engineering to ensure data reliability.
• Communicate findings effectively to both technical and non-technical audiences.

Skills

Analytical thinking

Stakeholder management

Communication

Independent problem solving

Tools

SQL

Python

Hadoop

Spark

Job description

Ladders is seeking an Analytics Engineer 5 - Demand Science to turn advertising and campaign data into actionable insights for planning and performance. You will partner with media planning, campaign strategy, and data engineering to define metrics and improve analytics quality.

Remote role for US-based candidates with strong SQL/Python and big data experience; compensation ranges from $330,000 to $566,000 annually.