Head of Data & Analytics

2 Months ago • 5-10 Years

About the job

Job Description

Polygon Labs seeks a Head of Data & Analytics to drive strategic initiatives, analyze data across products, and communicate insights effectively. Must have strong SQL, Python, data mining, and web3 analytics experience.
Must have:
  • SQL & Python
  • Data Mining
  • Web3 Analytics
  • Data Visualization
Good to have:
  • On-chain Activity
  • Distributed Teams
  • Polygon Experience
  • Web3 Technologies
Perks:
  • Remote First
  • Medical Benefits
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What is Polygon Labs?

Polygon Labs is a software development company building and developing a network of aggregated blockchains via the AggLayer, secured by Ethereum. As public infrastructure, the AggLayer will bring together user bases and liquidity for any connected chain, and leverage Ethereum as a settlement layer. Polygon Labs has also contributed to the core development of several widely-adopted scaling protocols and tools for launching blockchains, including Polygon PoS, Polygon zkEVM, and Polygon Miden, which is in development as well as Polygon CDK.

Your Role

The Head of Data & Analytics at Polygon Labs plays a pioneering role in shaping the data and analytics roadmap for the organization, leveraging insights from our broad spectrum of products, including Polygon PoS, zkEVM, and others, to proactively drive strategic initiatives. As a key player in the success of Polygon Labs, the Head of Data & Analytics will work in close partnership with leadership and various teams across the organization.

This role demands a high level of adaptability to fluctuating work scenarios and a forward-thinking approach to collaboration, aiming for the highest standards of achievement. Moreover, the Head of Data & Analytics at Polygon is not only a master of analysis but also an effective communicator, skilled at crafting compelling narratives from data insights for our business stakeholders. This individual must be able to present complex data in a clear and engaging way, ensuring stakeholders can fully appreciate and utilize the insights provided.

Polygon Labs offers a vibrant and fast-paced environment, where the ability to quickly adjust to changing priorities is greatly valued.

Your Responsibilities

A minimum of five years' experience in a comparable position. Elevate business performance by working with analytics talent and vendors to turn raw data into actionable insights, utilizing various formats such as dashboards, triggered reporting, or bespoke research analyses. Support the Marketing team by providing insights and narratives that enhance their efforts.

Discern opportunities for leveraging Polygon data to enhance business operations, Respond to ad hoc data requests while fostering a culture of mentorship and knowledge sharing within the organization. Daily collaboration with business partners, such as marketing, business development, and partner success.

Demonstrate a proven track record of translating data-driven insights into accessible business language and engaging presentations effectively up, down and sideways across the company, with thoughtfulness around tailoring communication to different preferred styles.

What you’ll need

  • BS/MS in Data Science, Statistics, Applied Mathematics, Computer Science or a related field, or extensive practical experience.

  • Strong skill set in SQL and Python

  • Strong experience and familiarity with a variety of data mining/data analysis tools, techniques, and concepts. 

  • Experienced with implementing models, simulations, and data visualization and using distributed data/computing tools.

  • Ability to identify priorities among many competing objectives

  • Excellent written and verbal communication (English)

  • Experience with web3 analytics tools like Dune Analytics, Nansen, Flipside, Covalent etc.

  • Strong understanding of web3 technologies, including How the EVM works, Blockchain data structures, How smart contract events are encoded and decoded, How to use ABI to decode transaction information

Preferred Qualifications

  • On-chain activity

  • Experience working within distributed teams, remote communication

Polygon Labs Perks

The goal of the Polygon Labs total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan includes, the following benefits:

Remote first global workforce

Industry leading Medical, Dental and Vision health insurance*

Company matching 401k with 3% match*

$1,500 Home Office Set Up Allowance (life-time max)

$200 Annual Book Allowance Program 

$75 Monthly internet or phone reimbursement

Flexible Time Off

1 company wide wellness Friday day off per quarter

Company issued laptop

Egg freezing, mental health, and employee wellness benefits

In certain countries medical, dental and vision is fully covered for employees & their dependents. This is country and plan specific.

401k is for United States employees only

Polygon Labs is committed to a diverse and inclusive workplace and is an equal opportunity employer. We do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Polygon Labs is committed to treating all people in a way that allows them to maintain their dignity and independence. We believe in integration and equal opportunity. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs.

If you think you have what it takes, but don't necessarily meet every single point on the job description, please still get in touch. We'd love to have a chat and see if you could be a great fit.

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Learn More about Polygon Labs

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About The Company

building aggregated blockchains

Central Sulawesi, Indonesia (Remote)

New York, New York, United States (Remote)

United States (Remote)

United States (Remote)

New York, New York, United States (Remote)

Dubai, Dubai, United Arab Emirates (Remote)

London, England, United Kingdom (Remote)

Central Sulawesi, Indonesia (Remote)

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