Senior Data Analyst - Reporting & Automation Job at aKube, Inc. in New York

City: NYC/ Santa Monica, CAOnsite/ Hybrid/ Remote: Hybrid, 4 days onsite 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 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. • Excel workflow automation (macros, formula-driven processes refactored to code). 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; 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; 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). 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); Advanced custom visualization frameworks (D3.js, Streamlit) to extend interactivity beyond standard BI tools. • Applied statistics exposure (hypothesis testing, regressions) for KPI validation and QA.