Analytics Engineer 5 - Demand Science

Ladders; United States; Remoto; USD 330.000 - 566.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health plans

401(k) with employer match

Stock option program

Disability programs

Family-forming benefits

Generous paid time off

Flexible time off

Descrizione del lavoro

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.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Analytical thinking

Stakeholder management

Communication

Independent problem solving

Strumenti

SQL

Python

Hadoop

Spark

Descrizione del lavoro

For our client, we are seeking a Analytics Engineer 5 - Demand Science to join the team of a leader in the Hospitality & Recreation space.

This role will focus on turning advertising and campaign data into clear, actionable insights that improve planning and performance. You will partner closely with stakeholders across media planning, campaign strategy, and data engineering to define metrics, identify risks and opportunities, and strengthen the quality and reliability of the analytics foundation. The position requires a strong balance of technical depth, business judgment, and communication skills in an environment that values independent thinking and comfort with ambiguity.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $330,000 – $566,000 annually

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

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

Benefits

• Comprehensive health plans and mental health support
• 401(k) retirement plan with employer match
• Stock option program
• Disability programs and health savings accounts
• Family-forming benefits and life insurance
• Generous paid time off policies, including 35 days for hourly employees
• Flexible time off for salaried employees

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.