Staff Product Data Analyst

hace 2 meses

San José, San José, Costa Rica Chainalysis A tiempo completo
Unlock the Power of Blockchain Data

Chainalysis is revolutionizing the way organizations interact with blockchain technology. As a Staff Product Data Analyst, you will play a critical role in defining and creating the next generation of deep dive and performance metrics visibility tools.

Our ideal candidate is a data enthusiast with a passion for translating complex business questions into well-defined quantitative problems. You will work closely with stakeholders across Product, Marketing, Engineering, Product Design, Sales & Customer Success to define metrics and scale our analytics capabilities.

Key responsibilities include:

  • Accessing and analyzing all of Chainalysis' datasets, including product usage, sales, customer, financial system, and other datasets.
  • Familiarity with product portfolio, how our users engage with them, and driving insights to key stakeholders.
  • Owning and speaking to key metrics across the product portfolio with a deep expertise in Chainalysis-specific data and analytics concepts.
  • Treating our internal data as a product and helping to scale the company's analytics platforms, training folks to leverage BI tools, and providing actionable insights.
  • Building tools and mechanisms to consolidate and update data regularly to make data easily accessible to all stakeholders in the company.
  • Translating business questions into quantitative questions, uncovering the inputs into our success metrics, and developing actionable insights that influence our leadership teams to identify critical areas of improvement.
  • Upkeep of KPI metrics and planned data analysis roadmaps to meet the operational and performance tracking requirements across teams.
  • Presenting complex yet actionable findings or insights to leadership that directly impact the business.

Requirements include:

  • Education in Computer Science, Engineering, Math, Statistics, Economics, Analytics, or a quantitative discipline.
  • Professional work experience in a hands-on analytics or data science function with proven quantitative orientation, manipulating large datasets for time series analysis, cohorting, segmentation, and forecasting.
  • Experience in inventing new metrics, conducting root cause analysis, A/B testing, and developing reporting/visualization solutions (e.g., Tableau, Quicksight).
  • Proven ability to translate ambiguous business and product questions into quantitative problem statements, structure complex analysis, implement large-scale analytical solutions, and drive business and product insights.
  • Experience with Data Warehouse is required.
  • Advanced skills in SQL, Tableau, Product Analytics tools (e.g., Pendo), Data Warehouse solutions (e.g., Redshift).
  • Knowledge and experience with data pipeline technologies, data modeling (star schemas, snowflake, aggregation tables), basic data architectures (compute and reporting clusters).
  • Fluency with statistical analytics and a programming language such as R, Python, etc.
  • Excellent organizational skills, including prioritization of multiple concurrent projects while still delivering timely and accurate results.
  • Excellent oral, presentation, and written communication skills - you're passionate about storytelling via data.
  • A Just Do It attitude and ability to move with urgency and customer obsession.
  • An ownership mindset - acts and makes decisions on behalf of the company, not just the team. Never heard of the words 'not my job'.

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