Senior Data Analyst - New York - aKube, Inc.

    aKube, Inc.
    aKube, Inc. New York

    1 week ago

    Description
    Job Description
    City: NYC/ Santa Monica, CAOnsite/ 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/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 , 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.

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