The Enterprise Data and Analytics (ED&A) team is responsible for producing insights and driving business decisions by unlocking the value in Chainalysis’ enterprise data. We work with internal stakeholders across the company, from Revenue to Finance to Product. Our goal is to accelerate Chainalysis’ growth and empower our employees to do their best work.
The Analytics Team at Chainalysis is looking for a Business Data Analyst to help define and create the next generation of company performance metrics and visibility tools. You’ll join the Business Technology, Data and Analytics Team in our centralized analytics unit and work with stakeholders across Finance, Sales, Customer Success, Marketing, People & Product to define metrics and scale our analytics capabilities.
In this role, you’ll:
- Access and analyze all of Chainalysis’ datasets including sales, customer, finance, product usage, and other datasets.
- Treat our internal data as a product and leverage the company’s analytics platforms, work with the Data Strategy & Operations team to train folks to leverage BI tools, and provide your colleagues with actionable insights.
- Work with the Data Engineering team to build tools and mechanisms to consolidate and update data regularly, making data easily accessible to all stakeholders in the company.
- Translate business questions into quantitative questions, uncover the inputs into our success metrics and develop actionable insights that influence our leadership teams to identify critical areas of improvement.
- Develop a deep understanding of our business, synthesize findings and provide strategic recommendations.
- Maintain KPI metrics and execute on data analysis roadmaps for our stakeholder teams.
We’re looking for candidates who have:
- Experience querying data sets generated by enterprise Marketing Automation, CRM, ERP and Financial Modeling applications (we use Marketo, Netsuite, Salesforce and Adaptive).
- 3+ Professional work experience in a hands-on analytics function with Revenue Operations and/or Finance Operations with an emphasis on producing insights to drive business decisions.
- Experience in building and visualizing metrics such as, LTV:CAC, Avg Customer Life, ARR, ACV, Customer Health Score, conducting root cause analysis and developing reporting/visualization solutions (e.g., Tableau, Quicksight)
- Ability to translate ambiguous business questions into quantitative problem statements through structure, complex analysis, implement large scale analytical solutions and drive business insights
- Experience in enterprise SaaS environments with an understanding of Go-To-Market processes and Quote-To-Cash concepts.
- Intermediate skills in SQL, Tableau, Data Warehouse solutions (e.g., Redshift, Databricks, Snowflake) and an interest in statistical concepts such as regression, time series, correlation, segmenting and forecasting.
- 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”.
Nice to have experience:
- Educational background in Computer Science, Engineering, Math, Statistics, Economics, Analytics or a quantitative discipline preferred.
- Awareness of data pipeline technologies, data modeling (star schemas, snowflake, aggregation tables), basic data architectures (compute and reporting clusters).
- Parsing structured and unstructured data in JSON, parquet and other formats
- Working with any of the following: Marketo, Salesforce, NetSuite, Adaptive Insights and Zendesk.
- Source control using Git.
- Scripting using Python.
- Modeling using dbt.Python
- Git or GitHub
- dbt
Systems/Tools we use:
- GTM and Revenue: Marketo, Salesforce, NetSuite, Adaptive Insights, Zendesk
- Product / User Analytics: GA360, Pendo
- Data Engineering: dbt, Fivetran, Dagster, Airflow, Python
- Business Intelligence, Data Modeling & Querying: dbt, SQL, Tableau, DataGrip
- Data Storage & Compute: AWS Redshift, AWS S3, Databricks
- Project Management & Documentation: Jira, Confluence
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.
