Senior Data Analyst - Retail Media (Remote)

Silversmith Capital Partners; New Jersey; On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Unlimited vacation

Fully remote team

Work from home stipend

Apple laptops provided

Training and development budget

Maternity & Paternity leave

Stock options

Regular team offsites

Job summary

Constructor.io in the United States is seeking a Senior Data Analyst to help drive data-driven product decisions focused on Retail Media. You will optimize ROAS, ad spend, and churn, collaborating with PMs, engineers, and business partners to translate requirements into measurable data features.

You will own the results for advertisers and retailers, build dashboards, and work with Spark SQL, Python (notebooks), Databricks, and Redash/Metabase to deliver insights and value.

Qualifications

• Proven experience turning data into actionable product insights.
• Ability to scope key insights with PMs and engineers.
• Collaborate with business partners to translate requirements into data features.
• Own metrics for advertisers and retailers and communicate results.

Responsibilities

• Research hypotheses to optimize platform metrics for retailers and advertisers.
• Collaborate with cross-functional teams to extract insights and drive improvements.
• Develop and update data functionalities with technical and non-technical partners.
• Present analyses to stakeholders and report on business performance.
• Support late-stage sales with data-driven demos.

Skills

Hypothesis testing

Data interpretation

SQL

Python

Dashboards

Communication

Stakeholder management

AdTech

Big data tooling

Meet deadlines

Prototyping

Spark

Databricks

Tools

Spark SQL

Python notebooks

Databricks

Redash/Metabase

PySpark

Job description

Constructor.io in the United States is seeking a Senior Data Analyst to help drive data-driven product decisions focused on Retail Media. You will optimize ROAS, ad spend, and churn, collaborating with PMs, engineers, and business partners to translate requirements into measurable data features.

You will own the results for advertisers and retailers, build dashboards, and work with Spark SQL, Python (notebooks), Databricks, and Redash/Metabase to deliver insights and value.