Data & Analytics Lead
Polygon Labs is a software development company specializing in building and advancing a network of aggregated blockchains via the AggLayer, strengthened by Ethereum. This public infrastructure, the AggLayer, aims to unite user bases and liquidity for interconnected chains, while utilizing Ethereum as a settlement layer. Moreover, Polygon Labs has actively contributed to the fundamental development of several widely-embraced scaling protocols and tools for launching blockchains, such as Polygon PoS, Polygon zkEVM, and in-progress projects like Polygon Miden and Polygon CDK.
Job Summary
As the Data & Analytics Lead at Polygon Labs, you will be at the forefront of developing the data and analytics strategy for the organization. Leveraging insights from various products like Polygon PoS, zkEVM, and others, your role will involve proactively driving strategic initiatives in collaboration with leadership and cross-functional teams. An adaptable approach to changing work environments and a forward-thinking mindset are essential to excel in this position, fostering the highest standards of accomplishment.
The Data & Analytics Lead at Polygon Labs is not just an expert analyst but also a proficient communicator, adept at transforming data insights into compelling narratives for business stakeholders. It is crucial for this role to present intricate data in a clear and engaging manner for stakeholders to utilize effectively.
You will thrive in a vibrant and dynamic environment at Polygon Labs, where agility in adjusting to shifting priorities is highly valued.
Key Job Responsibilities
- Minimum of five years' experience in a similar role.
- Enhance business performance by collaborating with analytics experts and vendors to transform raw data into actionable insights through dashboards, reporting, or customized research analyses.
- Provide insights and narratives to support the Marketing team in optimizing their activities.
- Identify opportunities to leverage Polygon data for improving business operations.
- Address ad hoc data inquiries while fostering a culture of mentorship and knowledge sharing within the organization.
- Collaborate daily with business partners like marketing, business development, and partner success.
- Demonstrate a track record of translating data-driven insights into understandable business language and engaging presentations across the company.
Preferred Qualifications
- A degree in Data Science, Statistics, Applied Mathematics, Computer Science, or relevant field, or substantial practical experience.
- Proficiency in SQL and Python.
- Strong experience with data mining, analysis tools, techniques, and concepts.
- Skilled in implementing models, simulations, data visualization, and using distributed data/computing tools.
- Ability to prioritize among multiple competing objectives.
- Excellent written and verbal communication skills in English.
- Familiarity with web3 analytics tools like Dune Analytics and others.
- Strong comprehension of web3 technologies such as the EVM, Blockchain data structures, smart contract events encoding/decoding, and ABI usage for decoding transaction information.
Nice to Have
- Experience with on-chain activity.
- Proficiency in working within distributed teams and remote communication.
Polygon Labs Perks
The Polygon Labs total rewards program aims to support your health and well-being and that of your family. Our comprehensive compensation plan includes benefits such as a remote-first global workforce, leading medical, dental, and vision insurance, a matching 401k scheme, home office setup allowance, annual book allowance, internet or phone reimbursement, flexible time off, wellness days off, company-issued laptop, mental health benefits, and more.
Polygon Labs is an equal opportunity employer, dedicated to maintaining a diverse and inclusive workplace. We value integration and equal opportunities for all individuals. Accommodations are available for applicants with disabilities throughout the recruitment process. If you believe you have the qualities required but may not meet every job description point, please reach out for a discussion on potentially fitting the role.
