Antenna · 7 hours ago

Senior Data Analyst

New York, NY

Full-time

Remote

Mid, Senior Level

$100K/yr - $130K/yr

4+ years exp

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Responsibilities

Partner with our commercial team to understand how our stakeholders are using our data to inform critical business decisions – and design and build high-quality data solutions that allow them to do that with zero friction.

Ensure product updates are shipped rapidly and in full alignment with technical and commercial teams.

Ensure data fulfillment is reliable, timely, and scalable for existing and new data solutions. Own existing and new data delivery channels, while continuing to find ways to optimize for speed and accuracy. Collaborate with Engineering partners to design and implement new solutions.

Analyze large datasets to identify and resolve data quality issues, collaborating closely with internal stakeholders and engaging directly with clients as needed.

Develop QA efficiencies across the data pipeline to ensure predictable, accurate, and timely delivery of data to both internal and external stakeholders.

Develop and maintain documentation and processes that equip stakeholders to increase their understanding of what is possible.

Support the launch of new data solutions ensuring there are scalable systems and processes to drive reliability, accuracy, and accessibility.

Lead, manage, or mentor Data Analysts to successfully support various Data Operations activities.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLExcelBusiness Intelligence ToolsData AnalysisETL SystemsProcess AutomationPythonRDocumentation

Required

Expert in SQL, Excel and business intelligence tools e.g. Looker, Redash (3+ years).

Strong problem-solving skills with an eye for detail.

Strategic thinker with 4+ years experience working with data-driven products.

Passionate about applying critical thinking and data analysis fundamentals to solve customer problems.

Skilled at organizing, analyzing, and vetting large volumes of data with great attention to detail and accuracy.

Track record of navigating complex ETL systems and collaborating with technical counterparts to improve operational processes and ensure data integrity.

Excellent written and verbal communication skills with the ability to translate nuanced requests into successful outcomes.

Self-starter with the capacity to deliver on multiple initiatives, prioritize time and resources, and meet deadlines in a fast-moving environment.