Senior Product Data Analyst

Posted 19 Days Ago
2 Locations
Hybrid
Senior level
Blockchain • Software • Analytics • Cryptocurrency • Web3
Businesses, banks, and governments use Chainalysis to make decisions, encourage innovation, and protect consumers.
The Role
As a Senior Product Data Analyst, you will analyze product usage data, define KPIs, drive insights, and support product decisions to enhance user engagement and growth.
Summary Generated by Built In

The Chainalysis Product Analytics team is at the forefront helping define, create and monitor key performance indicators and metrics for the Product organization. The team is small but mighty in helping our Research and Development department use metrics to guide Roadmap decisions and OKRs. We dive deep and research user behaviors to increase adoption, retention and growth opportunities. We have exposure to the most innovative projects at Chainalysis and use blockchain data to enrich our analysis for cross-functional stakeholders..

Our ideal candidate is comfortable in a nascent and fast-paced space with a lot of ambiguity, enjoys translating complex questions into well-defined quantitative problems, and is capable of building scalable analytics solutions to answer these questions. The analytical products, content and dashboards you build will help us understand the drivers of success metrics and make informed business decisions. 

In this role, you’ll: 

  • Be an expert in accessing and analyzing all of Chainalysis’ datasets including product usage, customer, blockchain and other datasets.

  • Become an expert in our product portfolio, understand how our users engage with them and provide insights to key stakeholders.

  • Own and speak to key metrics across the product portfolio with a deep expertise in Chainalysis specific data and analytics concepts.

  • Treat our data as a product and help to scale the company’s analytics platforms, train folks to leverage BI tools, and provide your colleagues with actionable insights.

  • Translate questions into quantitative questions, uncover the inputs into our success metrics and develop actionable insights that have influenced our leadership teams to identify critical areas of improvement.

  • Build KPI metrics and plan data analysis roadmaps to meet the operational and performance tracking requirements across teams.

  • Present complex yet actionable findings or insights to leadership that have directly impacted the company.

We’re looking for candidates who have:  

  • SaaS Product Experience - working with Product Teams or with SaaS products

  • Builds product metrics around engagement, adoption, retention and expansion

  • Ability to translate ambiguous questions into quantitative problem statements through structure, complex analysis, implement large scale analytical solutions and drive insights

  • Advanced skills with SQL, Tableau, Data Warehouse solutions (e.g., Redshift, Databricks, Snowflake) and Product Analytics Tools (like Pendo, Amplitude, Mixpanel)

  • Expertise in statistical concepts such as regression, time series, correlation, segmenting and forecasting.

  • Exudes 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. 

Nice to have experience: 

  • Blockchain/Crypto Experience

  • Parsing structured and unstructured data in JSON, parquet and/or other formats

  • Experience working with Salesforce

  • Source control using git

  • Python

  • DBT Cloud Technology

  • Interest in IRL collaboration in our New York City office

Technologies we use:

  • Product / User Analytics: Pendo, GA360, various Postgres databases

  • Business Intelligence, Data Modeling & Querying: dbt, SQL, Tableau, DataGrip

  • Data Storage & Computer: AWS Redshift, AWS S3, Databricks

  • Project Management & Documentation: Jira, Confluence

  • Data Engineering: DBT Cloud, Fivetran, Dagster, Airflow, Python

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 here. We can’t wait to meet you. 

Top Skills

Airflow
Amplitude
Aws Redshift
Aws S3
Dagster
Data Warehouse Solutions
Databricks
Datagrip
Dbt
Dbt Cloud
Fivetran
Mixpanel
Pendo
Python
Redshift
Snowflake
SQL
Tableau
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The Company
HQ: New York, NY
700 Employees
Hybrid Workplace
Year Founded: 2014

What We Do

Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Organizations can track illicit activity, manage risk exposure, and develop innovative market solutions with intelligent customer insights. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.

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