Senior Data Analyst – Reporting & Automation- 1523

Must Have:

• Advanced SQL for analytical ETL/pipeline development (Snowflake or similar MPP).
  
• Scripting for automation (Python or JavaScript) including Google Apps Script.
  
• Experience automating recurring reporting (email sends, deck builds) end-to-end.
  
• Data quality engineering in pipelines (inline checks, alerting, exception handling).
  
• Dashboarding/BI (Looker and/or Tableau) with strong data modeling fundamentals.
  
• Version control and code review workflows (Git/GitHub).
  
• Excel workflow automation (macros, formula-driven processes refactored to code).
  

Responsibilities:

• Build end-to-end reporting automation for business-critical initiatives (templated email sends, automated deck builds, scheduled jobs).
  
• Translate intake requests into clear data requirements and SLAs; design resilient pipelines that minimize manual touchpoints.
  
• Develop performant SQL and transformation logic against vetted analytical datasets; productionize jobs with parameterization and logging.
  
• Embed inline data-quality tests and safeguards (freshness, completeness, threshold checks) to ensure executive-grade accuracy.
  
• Create maintainable dashboards/visuals for operational through executive audiences; push beyond third-party tool limits when needed.
  
• Partner cross-functionally with upstream data/software engineering and domain analysts to align schemas, definitions, and cadence.
  
• Document solutions (runbooks, configs, data contracts) and contribute to reusable internal tooling/components for reporting enablement.
  
• Proactively identify opportunities to de-risk manual workflows and drive standardization across domains (e.g., Partnerships, Subscriber Planning).
  

Qualifications:

• Bachelor’s degree in a STEM/analytical field.
  
• 5 years in analytics or data product/enablement roles with measurable automation impact.
  
• 3 years hands-on SQL in an analytical ETL environment (Snowflake/BigQuery/Redshift).
  
• 3 years scripting (Python or JavaScript); experience with Google Apps Script for workflow automation.
  
• Proven track record converting manual Excel processes into robust, scheduled pipelines.
  
• BI experience (Looker/Tableau); strong ability to convey technical/analytical concepts to diverse audiences.
  
• Familiarity with Git/GitHub and collaborative dev practices.
  

Preferred:

• Advanced custom visualization frameworks (D3.js, Streamlit) to extend interactivity beyond standard BI tools.
  
• Experience prototyping “homegrown” reporting tools/products from scratch.
  
• Workflow orchestration familiarity (e.g., Airflow or equivalent).
  
• Applied statistics exposure (hypothesis testing, regressions) for KPI validation and QA.