Senior Data Analyst – Reporting & Automation

Senior Data Analyst – Reporting & Automation- 1523

New York, United States | Posted on 11/03/2025

City: NYC/ Santa Monica, CA Onsite/ Hybrid/ Remote: Hybrid, 4 days onsite

Duration : 6 months with strong potential for extension/conversion (up to 24 months)

Rate Range :
Up to $67.75/hr on W2 depending on experience (no C2C or 1099 or sub-contract)

Work Authorization : GC, USC, All valid EADs except OPT, CPT, H1B

Must Have:

• Advanced SQL for analytical ETL/pipeline development (Snowflake or similar MPP).
• 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/Git Hub).
• 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; product ionize 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/Big Query/Redshift).
• 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/Git Hub 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.