Data Operations Associate
Position Summary & Responsibilities
The Opportunity
We believe that the future of the small business economy runs on data. At Enigma, we’re building a one-stop shop for data on SMBs- the single, most reliable source of data about businesses to unlock access to capital.
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. That's why financial leaders like Capital One, Truist, and many other top companies are using Enigma’s data to better serve their small business customers.
We are looking to hire a Data Operations Associate who is excited and driven to play a key role in supporting our GTM and Product activities. As we pursue our mission of providing customers with unique insights on small businesses, your work will own customer-related data operations and customer onboarding projects, establish and improve data processes, and ensure high-quality data services for our customers.
The Role
As a Data Operations Associate, you will be on the front lines helping us meet our company’s mission of being the most reliable and accessible source of data and intelligence on small businesses. You will work closely with Enigma’s Customer Success and Product teams and use your scrappy process management and data analysis skills to showcase the power of our SMB data to our customers and prospects.
We stand by the power of our data and you will create impact by driving efficient processes and delivering high-quality products to our customers. The ideal candidate is motivated by seeking out the business value of data and gaining experience in go-to-market efforts, looking deeply into the specifics of data products and distilling problems down to their simplest solvable core.
What You'll Do
- Fuel GTM activities at a fast paced startup environment from an operations perspective
- Scale and manage data and onboarding operations to streamline customer lifecycle end-to-end
- Own and lead data analysis projects, and generate the insights that help drive customer conversations forward
- Prepare regular reports to communicate data quality metrics and improvements to stakeholders
- Conduct thorough data quality checks to ensure accuracy, consistency, and completeness of datasets, and in
Key Role Competencies & Evaluation Highlights
Assessing advanced data pipeline architecture, handling messy unstructured/structured data at scale, and turning complex data engineering into user-friendly insights.
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