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It’s rare that a new asset class is born. Nevertheless, we’re witnessing exactly that with the rise of crypto. Over just the last few years, since Bitwise was founded, crypto has evolved from an embryonic $50B market to a growing $3T+ juggernaut. At Bitwise, we believe that crypto has reached a turning point, and is headed north of $10T over the next few years.
This is an exciting moment for Bitwise as a firm. For eight years, we have established a track record of excellence managing a broad suite of index and active solutions across ETFs, separately managed accounts, private funds, institutional staking, and hedge fund strategies. This year, we crossed $15B in client assets and are growing quickly. Thousands of financial advisors, family offices, and institutional investors partner with Bitwise to understand and access the opportunities in crypto. We are known for providing unparalleled client support through expert research and commentary, a nationwide client team of crypto specialists, and deep access to the crypto ecosystem.
Currently, Bitwise is a close-knit team of 100+ global professionals. Think of us as a mix of an asset manager and a tech start-up. We’re backed by some of the most accomplished investors in venture capital and veterans of the financial services world. We love working together, we love what we do, and we’re excited about what’s ahead.
As our first Analytics Engineer, you’ll be instrumental in defining and building our analytics infrastructure for our Go-To-Market (GTM) function. You will own the GTM data ecosystem, ensuring data is reliable, accessible, and scalable.
We’re looking for someone who thrives in a high-complexity environment — someone excited to bring clarity to chaos, untangle complex data models, and create the foundation for a scalable and flexible data future.
Primary Responsibilities:
- Design and build core data models to improve analysis efficiency, enabling rapid, reliable insights for teams.
- Create highly intuitive, visual dashboards with a focus on high business impact and self-serve solutions.
- Partner with stakeholders to understand requirements and deliver solutions attuned to their current needs while ensuring scalability.
- Bring vision to a developing space, identifying the root question(s) to solve for, and how to unearth insights that will inform key business decisions.
Role Requirements:
- 5+ years of experience as an analytics engineer, data engineer, data scientist, or similar role.
- GTM domain expertise.
- Expert SQL skills.
- Deep experience with marketing and sales data structures and platforms like Salesforce, Google Ads, Reddit, Facebook, etc
- Familiarity with data warehouse platforms like Snowflake, data transformation tools like DBT, and customer data platforms like Segment.
- Experience in data modeling, including dimensional modeling and analytics engineering best practices.
- Experience creating high-impact dashboards and visualizations using BI tools.
- You move fast - with a bias for impact - and don’t shy away from advocating for your work.
- You have a strong sense of ownership. You’re excited to lead projects, aligning stake-holders to a common goal, and driving to a finished output.
- The idea of being early on a small team where things change rapidly and everyone pitches in excites you.
- Though not needing to be an expert, you’re interested in learning about crypto and investments and enthusiastic about making it part of your career.
What We Offer:
- Compensation: $170,000-$190,000 salary
- Equity compensation as a component of all offers
- Health insurance, including dental and vision plans
- Health, Dependent Care, and Commuter Flexible Spending Accounts
- Paid Parental Leave
- Life insurance; short- and long-term disability plans
- Company funded 401(k) plan, no matching required
- Unlimited PTO
- 10 paid company-wide holidays
- Office spaces in San Francisco and New York
- Meals and snacks provided in the office
- Paid company cell phone
- Bitwise “Buddy” program (30-day new-hire success program)
- Annual birthday and anniversary gifts
- Company-wide events including the annual holiday party
- Internal Women of Bitwise group with fun events
Bitwise is an equal opportunity employer. We are committed to building a team of people with a variety of backgrounds, perspectives, and skills. It is the policy of Bitwise to ensure equal opportunity. All candidates are considered without regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, marital status, ancestry, physical or mental disability, veteran status, or any other legally protected characteristics.
Please note that we do not sponsor visas for persons without work authorization in the United States. This role is for full-time employees only (no B2B or contractors). thank you!
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
