Senior Data Analyst

April 2

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Sparking Meaningful Connections for Every Single Person Worldwide

1001 - 5000

Description

• Own defining, tracking, and monitoring business KPIs for the Central Platforms Product team. • Partner with product managers to create hypotheses, define quantitative goals, and design experiments for roadmap projects • Partner with engineering to improve data collection through data infrastructure design, data pipelining, and warehousing solutions • Collaborate with cross-functional teams, including business stakeholders, developers, and data engineers, to identify data requirements, gather feedback, design and implement solutions. • Conduct exploratory data analysis to discover patterns and insights to inform future strategy. • Gather, compile, and extract meaningful insights from complex datasets, using statistical techniques and machine learning algorithms when applicable. • Summarize and evangelize your findings across the company; providing Executives, Product Managers, Engineering teams, and other Data Analysts with deep-dive quantitative analyses in an immediately usable format, extracting key insights from extensive, complex data sets • Proactively find opportunities to take analytics framework into the next level and lead stakeholders to adopt new frameworks and methodologies • Take ownership of ambiguous and complex analytical assignments

Requirements

• 5+ years of progressive experience using quantitative analysis to make business-focused recommendations • 3+ years of analytics experience working directly with product managers or embedded within a product team • Experience with data warehousing, data pipelining solutions a plus • Familiarity with machine learning concepts and algorithms • Proven technical data analytics skills in working with large amounts of data at different levels of aggregation, from raw telemetry to metric stores. • Working knowledge of trust and safety analytics metrics (fraud signals, bad actor patterns, etc.) • Strong understanding of incrementally as well as sizing business problems and opportunities • Understanding of basic statistical concepts such as confidence interval, normal distribution, correlation, linear regression, and multivariate testing • Strong communication skills at different levels of organizational hierarchy • Proactive skill set that encompasses problem identification, analysis, solution definition, results, and communication • Proficiency with SQL, R and Python (or equivalent) • In-depth experience with data visualization and analytical tools (E.g. Tableau, Power BI, Looker)

Benefits

• Full remote or hybrid working models • Headquarters in Dallas, TX with offices in LA, Palo Alto, and New York