Design, build, and maintain scalable data pipelines and workflows for recurring and ad-hoc reporting
Clean, transform, and model data from multiple sources (CRMs, ad platforms, internal tools) into reliable, analysis-ready datasets
Develop dashboards and reports that highlight performance trends, lead quality, and campaign effectiveness
Translate complex data into clear, actionable recommendations for stakeholders
Partner with operations and client-facing teams to understand reporting needs and deliver timely insights
Document processes, schemas, and logic to ensure reproducibility and transparency across the team

Requirements

Strong proficiency in Python and SQL for data manipulation and transformation
Experience with relational databases (e.g., MySQL)
Comfortable working with APIs and integrating external data sources
Hands-on experience building or maintaining data pipelines (not just consuming clean data)
Excellent communication skills able to present findings clearly to non-technical audiences
Familiarity with dashboard/reporting tools (Looker, Metabase, Google Data Studio, or similar)
Solid understanding of software fundamentals: Git/GitHub, documentation practices, and clean coding habits
Experience with cloud environments (AWS S3, EC2, or similar)
Knowledge of marketing/advertising data (lead scoring, funnel metrics, campaign performance)
Exposure to AI/ML workflows or agentic data tools
Familiarity with DevOps or CI/CD practices

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLrelational databasesAPIsdata pipelinesdashboard/reporting toolsGitAWSAI/ML workflowsCI/CD practices

Soft Skills

communication skillscollaborationproblem-solvinganalytical thinkingattention to detail