Senior Data Analyst - Reporting & Automation
Job in
New York City, Richmond County, New York, USA
Listed on 2026-01-24
Listing for:
aKube, Inc.
Full Time
position Listed on 2026-01-24
Job specializations:
-
IT/Tech
Data Analyst, Data Engineer, Data Science Manager, Business Systems/ Tech Analyst
Job Description & How to Apply Below
Job Description
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).
- 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/Git Hub).
- 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; 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).
- 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).
- 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/Git Hub and collaborative dev practices.
- 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.
Position Requirements
10+ Years
work experience
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