Product Manager Data Intelligence

2 weeks ago

Baladīyat al Ghuwayrīyah, Qatar Chainalysis Inc. Full time
using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That's where Chainalysis comes in. We provide complete knowledge of what's happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence. Chainalysis is one of the fastest growing companies in the cryptocurrency space.

We're known for building trust in the cryptocurrency industry as the leading provider of software that enables government agencies and private sector businesses across the world to detect and prevent cryptocurrency crime and money laundering.

Our work is only becoming more important as cryptocurrency enters the mainstream. We are seeking a self-motivated Product Manager to help us scale our next generation blockchain data platform.

The data team is dedicated to all aspects of blockchain data including node ingestion, data parsing and transformations, pattern detection and insights delivery in order to support all Chainalysis solutions ranging from Investigations, Compliance and Growth.

The team approaches blockchain data analysis with multiple magnifications, from a high-level 37,000-foot view down to the minutest details.

This comprehensive approach not only enables the team to deliver high value data to our customers but also enables a unique opportunity for you as a Product Manager to build a holistic view of the dynamic cryptocurrency industry, blending detailed technical insights with broader market trends In this role, you'll:

  • You are an expert in accessing and analyzing all of Chainalysis' datasets including blockchain data, product usage data and financial metrics.
  • You will build tools and mechanisms for consolidating and updating data regularly to make it easily accessible to all stakeholders in the company.
  • You will translate product and business questions into quantitative questions, uncover the inputs into our success metrics and start publishing weekly reports that product and data science teams use to identify critical areas of improvement.
  • You will successfully collaborate with internal engineering teams to create new datasets when we cannot answer the product questions.
  • You will create new KPIs to track the product performance that guide the product team's initiatives.
  • You treat our internal data as a product and helped to scale the company's analytics platforms, trained folks to leverage BI tools, and provided your colleagues with easier access to insights.
  • You will be a critical contributor to the company's pricing strategy for different products and access levels.

We're looking for candidates who have:

  • Minimum 5 years of work experience, minimum 2 years of product management experience with proven results.
  • Educational background in Computer Science, Engineering, Math, Statistics, Economics or a quantitative discipline preferred.
  • Professional work experience in a hands-on analytics function with proven quantitative orientation.
  • 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.
  • Advanced skills in SQL, ETL, Data Warehouse solutions and databases (e.g. Databricks, Snowflake, AWS Athena).
  • Knowledge and experience with data pipeline technologies (e.g. Kafka and DBT) and basic data architectures (e.g. Event-Driven, Lambda, Data Warehouse etc.) (
  • Experience in inventing new metrics, conducting root cause analysis, testing hypotheses and developing reporting/visualization solutions (e.g. Tableau).
  • Ability to work with Data Engineers and Scientists to mine the right data sources efficiently and accurately.
  • Fluency with statistical analytics and a programming language such as 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.
  • A Just Do It attitude and ability to move with urgency and customer obsession

Nice to have experience:

  • Understanding of blockchain data
  • Experience in building pricing models and conducting cohort analysis
  • Experience with distributed compute technologies such as Spark
  • You are passionate or curious about the Blockchain, Crypto, Web 3 space About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That's where Chainalysis comes in. We provide complete knowledge of what's happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence. You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. Some of the ways we're ensuring we keep learning are an internal Diversity Committee, Days of Reflection throughout the year including International Women's Day, Harvey Milk Day, World Humanitarian Day, and UN International Migrants Day, and a commitment to continue revisiting and reevaluating our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more

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