Lead Data Analyst
iSpot.tvFull Time
Expert & Leadership (9+ years)
Candidates should possess 4-5+ years of hands-on experience in data analytics, preferably within a high-growth startup or regulated environment. A strong proficiency in BI tools such as Tableau, PowerBI, Lightdash, or Metabase is required, along with experience in a scripting language like Python or R. Fluency in SQL, including translating business questions into queries, understanding joins and functions, and building data pipelines, is essential. A solid foundation in experimental design and statistical analysis is necessary, and candidates must be comfortable owning projects end-to-end and collaborating cross-functionally. Interest in financial systems and consumer behavior, as well as experience with machine learning or statistical modeling, are considered a plus.
The Senior Data Analyst will leverage data to drive user growth, identify trends, and influence product and business decisions. They will partner with business stakeholders across the organization to answer questions and test hypotheses, and define and manage key metrics that inform strategic product, growth, and operational decisions. This role involves putting data at the fingertips of stakeholders to enable independent exploration and utilization, building efficient data ingestion and transformation pipelines, and developing intuitive dashboards, memos, slides, and other visualizations that tell stories and inspire action. Collaboration with peers for brainstorming, verifying analyses, and reviewing work to ensure accuracy and quality is also a key responsibility.
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