Lead Analyst - Advanced Analytics

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Analyst in Advanced Analytics/Data Science on a year-long remote contract, offering a pay rate of "pay rate". Requires 5+ years of industry experience, expertise in A/B testing, SQL, Python or R, and knowledge in the insurance industry.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
June 6, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Computer Science #SQL (Structured Query Language) #Data Analysis #Statistics #Python #Mathematics #A/B Testing #R #Programming #Logging #Data Pipeline #Data Science
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Sagatianz Inc, is seeking the following. Apply via Dice today! Job Description Our client is looking for a Lead Analyst in Advanced Analuytics/Data Science for a year long remote contract. Working closely with Product Managers and Business leads to design, execute and evaluate A/B tests. Understand common pitfalls and caveats of experimentations. Define how to best measure the performance of Airbnb product and business through new metrics and dimensions. Align with stakeholders, understand tradeoffs and guardrails, prototype metrics through custom data pipelines. Empower the team to answer data questions quickly and easily by building high-quality ground truth data sets and dashboards. Collaborate with Product Engineering to spec out logging and with Analytics Engineering to build data tools for mass consumption 5+ years in industry experience Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences Experience partnering with internal teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement Experience in analysis of A|B experiments and statistical data analysis Experience designing and building metrics, from conception to building prototypes with data pipelines Strong knowledge in at least one programming language (Python or R) and in SQL Ability to drive data strategies, with a central source of truth to impact business decisions Knowledge and experience in insurance industry - a plus Knowledge and experience in customer experience measurement - a plus Degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)