New Product Analyst New York, NY Apply The Opportunity
This is an exciting time at Enigma. We’re on the cusp of releasing our next generation of small business intelligence products, built on years of insights and innovation in the space. We are seeking a curious and driven Product Analyst to join our team and help shape the direction of these products. Your research and analysis will be critical in uncovering market opportunities, informing product strategy, and guiding key decisions that directly impact our customers.
The Role
As a Product Analyst, you will play a critical role in helping us unlock the value of our small and medium business data. You will work closely with Product, Sales, Customer Success, Engineering, and Data Science teams to showcase the power of our data through marketing outreach, sales conversations, and customer pilot projects.
In this multi-functional role, you will contribute to the continued development of our data products, support scalable analytics, and ensure the quality and reliability of our data. Your work will drive insights that inform product development and strengthen our Go-To-Market (GTM) efforts. You will also collaborate across teams to build data pipelines, validate new data sources, monitor key metrics, and deliver clear, actionable insights to both technical and non-technical audiences.
We stand by the power of our data, and as a Product Analyst, you’ll create impact by driving clarity through analysis and supporting efficient, data-informed decision-making across the business. The ideal candidate is motivated by uncovering the business value within data, contributing to go-to-market success, and digging into the details of our data products to distill complex challenges into actionable insights.
What You'll Do
Own and lead data analysis projects to generate the insights that drive our product forward during rapid experimentation
Maintain and improve data quality while contributing to the development of new data features and attributes
Support scalable analytics by building data pipelines, dashboards, and internal reporting tools
Collaborate across teams to monitor key metrics, validate new data sources, detect anomalies
Deliver insights that support GTM and product development through thoughtful analysis of customer and business data
Gather and distill requirements from multiple stakeholders, plans analyses, and manages projects end-to-end with strong attention to detail
Explain and document findings clearly for both technical and non-technical audiences
Thrive in high-performing, collaborative teams with short, high-impact research cycles
What makes this job exciting?
Technical challenge: Enigma improves its product by solving challenging entity resolution and machine learning problems. Your analytical contribution is critical to our success.
Impact: Product Analytics at many companies focuses on making better operational decisions. At Enigma, data analytics is the core of our actual product!
Exposure: You will be situated at the cutting edge of data, GTM and product at Enigma and there will be many mentorship opportunities in this role.
Learning: We’re tackling problems with exciting data that don’t have obvious solutions. Every day brings new opportunities to learn about analytical techniques and our world.
Our ideal candidate
Has strong analytical and quantitative skills and the ability to extract, manipulate and analyze data
Brings strong business intuition to make sense of complex business data
Has proficiency in data wrangling tools (especially SQL) and a keen eye for detail when analyzing and manipulating data
Has academic training in a quantitative discipline or brings 2+ years of industry experience (including new graduates with relevant project or internship experience) in statistics, experimental design, and data analysis
Brings strong business intuition to translate complex data into actionable insights and data-driven decisions
Brings empathy to see things through the eyes of multiple stakeholders, such as prospective customers, journalists, small business owners as well as technical and non-technical colleagues to create outputs addressing their needs
Is a self-starter and capable of managing multiple tasks and prioritizing effectively
Brings a thirst to learn ways (methods, technologies, etc.) to solve problems
Bonus points if you
Prior experience with git repo, data pipeline, data products and/or a strong understanding of machine learning concepts
Familiarity with the world of enterprise software, data-as-a-service, or business intelligence tools
About Us
At Enigma, we’re building the single, most reliable source of data on businesses to power the future of financial services. By engineering better data from hundreds of public and third-party sources, we aim to tell the complete story of every business, so that companies of every size can access the financial services they need to grow and thrive. Our core values – generosity, curiosity, ingenuity, & drive – guide everything we do, from how we make our most important product decisions to how we work with and support one another on a daily basis. We’re a team of curious, driven individuals with diverse backgrounds and skills, but we’re all passionate about engineering deeper understanding through data—together. If this resonates, we would love to hear from you!
We are proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Salary range: $80,000-$120,000
A note on salary ranges: we pride ourselves on paying competitively for our size and industry. Salary is one piece of a total Enigma compensation package that includes additional benefits and opportunities. All of our compensation packages include equity because we believe 100% of Enigma employees should have the option to purchase ownership in the company and benefit from the value we’re creating together. Apply for this job * indicates a required field First Name * Last Name * Email * Phone * Location (City) * Locate me Resume/CV * Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website In a few sentences, what about this role stands out to you and has sparked your interest? * Voluntary Self-Identification
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