The Data Engineering and Architecture (DEA) team is responsible for unlocking the value in Chainalysis’ corporate data. We work with internal stakeholders in HR, Business Operations, Finance, Sales and Marketing as well as partners in Business Technology and Core Engineering to ship data solutions that are trusted, reliable, mature and transformative. Our goal is to accelerate Chainalysis’ growth and empower our employees to do their best work. 

The Sr. Data Strategist will play an outsized role in enabling Chainalysis’ ability to attract and retain customers who value the expert stewardship of corporate data. They will do this by establishing and implementing corporate data standards, governance systems and processes that are compliant with Chainalysis’ InfoSec and data privacy guidelines. They will also take the lead in documenting and maintaining business system data schemas, lineage and flows throughout Chainalysis’ Business Technology ecosystems and data infrastructure. Finally, they will be responsible for working with activation stakeholders to understand how corporate data in the data warehouse will be consumed for a variety of use cases. This work will require close partnership with Data Engineers in both DEA and in R&D to align data warehouse architecture with business systems and data activation use cases like analytics and business automation. 

The ideal candidate will have worked closely with Data Engineering partners and Business Systems stakeholders to empower business leaders and users by delivering solutions that help them make decisions and perform their work more efficiently. They have held past roles as a client-facing data strategist or analyst responsible for driving the technical aspects of end-to-end data solutions. They will have past experience implementing Privacy or InfoSec requirements into a corporate data architecture.This role is open to remote candidates in the United States, with a preference for New York-based candidates who will join the team in our HQ either full-time or in a hub model. 

In one year you’ll know you were successful if…

• You’ve led the implementation of a corporate data standards and governance roadmap
• You own the process to document and maintain business system data schemas, lineage and flows across the Business Technology ecosystem
• You’ve collaborated with data engineers to construct a data warehouse architecture that is usable and accessible for activation use cases
• You've created end-user data dictionaries for data warehouse tables used in activation use cases
• You're beginning to publish dashboards that communicate the health, growth and breadth of data in the data warehouse

A background like this helps: 

• Using intermediate SQL skills to explore data warehouses, write queries and design schemas
• Strong hands-on experience with Snowflake or Redshift and Business Intelligence (BI) platforms such as Tableau and Looker
• Intermediate knowledge of RDBMS database structures and data formats like JSON
• Articulating complex data problems through visuals and narratives that can be easily understood by non-technical people
• Creating and managing client expectations through the creation of business requirements, charters and roadmaps 
• Working with data and integration engineers to build end-to-end data solutions that include acquisition, transformation and activation
• Familiarity with data governance tools like Collibra and Alation 
• Experience in an Agile-like environment that includes user stories, sprints, grooming and retrospectives
• Performing root cause analysis on integration and automation errors to identify data quality issues
• Familiarity with common enterprise business systems like Salesforce, Workday and NetSuite

The base salary range for this role is $127K to 167K on a national basis and may be higher or lower depending on the location of the role. Base salary is just one part of our total rewards package which additionally includes equity, performance bonus or commissions for eligible roles, and competitive benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, relevant work experience, skillset, internal equity, and other factors, consistent with applicable law.

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