The BizOps & Analytics Team at Chainalysis is looking for a Senior Business Intelligence Analyst to help define and create the next generation of company performance metrics and visibility tools. Our ideal candidate is comfortable in a nascent and fast-paced space with a lot of ambiguity, enjoys translating complex business questions into well-defined quantitative problems, and is capable of building scalable analytics solutions to answer these questions.

You’ll join our central analytics team and work with stakeholders across Finance, Sales, Marketing, People & Product to scale our BI capabilities. You will mature the business analytics we are already providing and proactively work with stakeholders to define new data & analytics needs.

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

You are an expert at leading how to analyze all of Chainalysis’ datasets including customer data, financial data, revenue data, employee data, product usage data, etc. You’ve upkept company KPI metrics on our Tableau platform and planned data analysis roadmaps to meet the operational and performance tracking requirements across our Corporate Function teams You’ve treated our internal data as a product and helped build a scalable analytics function by mentoring junior analysts, provided your colleagues with easier access to insights, and established best practices on data quality, documentation, and governance You’ve translated business questions into quantitative questions, uncovered the inputs into our success metrics and started publishing weekly reports that leadership teams use to identify critical areas of improvement A background like this helps:

Educational background in Computer Science, Engineering, Math, Statistics, Economics or a quantitative discipline preferred, but not required Experience querying data sets across company CRM, ERP, HRIS, ATS applications (we use Netsuite, Salesforce, Workday, Greenhouse, Adaptive, TripActions) Experience inventing new metrics, conducting root cause analysis, A/B testing and developing reporting/visualization solutions (e.g., Tableau, Quicksight, Looker or other modern BI tools) Advanced skills in dashboarding, SQL, ETL tools (e.g., FiveTran), Data Warehousing (e.g., Redshift, Snowflake) and exposure to 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. 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. Excellent oral, presentation and written communication skills - you’re passionate about storytelling via data! The following would differentiate you:

Experience working cross-functionally as a subject matter data champion with Sales, People, Finance and Engineering departments Experience with business process automation and usage-based pricing models Top-tier SaaS exposure

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At Chainalysis, we help government agencies, cryptocurrency businesses, and financial institutions track and investigate illicit activity on the blockchain, allowing them to engage confidently with cryptocurrency. We take care of our people with great benefits, professional development opportunities, and fun.

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, Juneteenth, Harvey Milk Day, and International Migrant’s 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. Additionally, 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.