Data Operations Manager: Food & Beverage (Part-Time)

Spate is currently seeking a highly skilled and motivated Part-Time Data Operations Manager to join our team, beginning at 20 hours/week. As the Data Operations Manager, you will play a critical role in ensuring the seamless flow of data, optimizing data management processes, and supporting the successful execution of data projects for Spate’s Food & Beverage vertical. This role is ideal for a serious professional dedicated to bringing trend forecasting solutions to Food & Beverage industry players.

About Spate:

Spate, Inc. is a leading technology company specializing in data-driven insights and analytics. We empower businesses with the knowledge they need to make informed decisions and stay ahead in their respective industries. Our team is driven by a passion for innovation, and we're constantly seeking talented individuals to join us in shaping the future of data-driven solutions.

Role Responsibilities:

• Develop Spate’s Food & Beverage database, and ensure its good quality,
• Manage relationships with data entry support teams,
• Analyze datasets and investigate any discrepancies or inconsistencies,
• Monitor and troubleshoot data issues, 
• Collaborate with cross-functional teams on developmental projects, 
• Develop and maintain data documentation, standard operating procedures, and best practices,
• Analyze data flows and identify opportunities for process improvements and automation,
• Curate interesting and unique trends for Spate’s content.

Requirements

Minimum Qualifications

• At least 1-3 years of professional experience working within a team

• Proficiency in the use of Excel and GoogleSheet.
• Excellent analytical skills with the ability to identify data-related issues and propose solutions.
• Demonstrated ability to work independently and handle multiple projects simultaneously.
• Ability to communicate efficiently in cross-cultural teams.
• Curiosity, a high attention to detail, good common sense and good work ethics are essential to thriving in this position.
• Located in the United States within the EST timezone

Preferred Qualifications:

• Enthusiasm for food & beverage
• Speaks multiple languages
• Has lived in or experienced the culture of other countries

Location: This is a remote position, but we are looking for a candidate that lives in the US in EST timezone.

Mission Length: This is a freelance position with no commitment to a specific mission length. As a freelancer, you will have the flexibility to work on various projects with us based on your availability and our needs.

Benefits

Compensation:

$30-$35/hour

Why Spate?

• Join a well-funded company that is working with the top brands in consumer goods
• Work directly with the founders to set the direction of the company
• Grow in a fast-paced environment
• Always be up-to-date on the latest trends!

About Spate

At Spate, we use data science to predict the next big consumer trend in beauty, personal care & food.

Spate was founded in 2018 by Yarden Horwitz & Olivier Zimmer, two ex-Googlers who led the trendspotting division at Google and uncovered trends such as turmeric, cold brew, and face masks. Spate has been funded by the prestigious Y Combinator incubator and Initialized Capital. We currently have ~180 clients in the U.S., mainly in the beauty space from direct-to-consumer brands to big names such as L’Oréal, Estée Lauder, Unilever.

As two ex-Googlers with a passion for using data to spot new patterns in consumer behavior, and we have made it our mission to build the world’s greatest consumer trends prediction platform of all time. And not just because we want to be trendy, but because we want to help brands get better at giving consumers what they really want. 

Brands waste over $200BN every year due to product launch failures and inventory waste. By spotting Turmeric, we were able to tell brands to stop wasting money on kale products and provide consumers with glorious golden milk lattes instead - because that’s what consumers want.

How do we do this? We tap into publicly available consumer data (anonymous and aggregated) to identify interesting shifts in consumer behavior. We leverage the latest available technology in ML to solve problems in ways that have never been explored before.

We enjoy a casual atmosphere, but our culture is about getting things done. We are passionate yet pragmatic when it comes to solving problems in a fast-paced environment. Our standards are high, but we thrive on working with people we respect and can learn from. We’re flexible on work styles, as long as everyone is getting their work done - and getting it done well.

We are an equal opportunity employer where our diversity and inclusion are central pillars of our company strategy. We look for applicants who understand, embrace, and thrive in a multicultural and increasingly globalized world. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.