Senior Data Analyst
Match Group
- Los Angeles, CA Palo Alto, CA
- $118,000-141,500 per year
- Permanent
- Full-time
- 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
- 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)