Data Operations Analyst

🕒 April 20

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YipitData

WebsiteLinkedInAll Job Openings

201 - 500 employees

💸 Finance

🏢 Enterprise

Finance • Enterprise • Data Analysis

YipitData is a company that specializes in providing accurate, timely insights on over 1,000 companies by analyzing billions of data points every day. They offer detailed research to help investors make smarter decisions and assist companies in increasing market share, sales, and customer base. YipitData delivers alternative data through a range of datasets, including receipt data, card data, web data, and publicly reported earnings. This data is used to track market trends, consumer behavior, and product categories, enabling businesses to gain transparency into performance metrics. Their services cater to investors, companies, and data partners, with a strong focus on accuracy and near real-time data delivery.

📋 Description

• Work with corporate retail and brand customers to understand their category structures and product attribution requirements. • Execute the mapping of products to customers' category needs, utilizing both manual tagging and machine learning tools. • Apply strong judgment and interpretation skills to ensure that data mapping aligns with customer specifications and business goals. • Collaborate with cross-functional teams to plan and deliver projects on time, ensuring high levels of accuracy and precision. • Continuously monitor and improve product attribution processes to increase efficiency and quality. • Leverage technical skills to enhance existing processes and tools that support data operations. • Maintain strong attention to detail and ensure accuracy in every aspect of the data mapping process. • Take accountability for successfully executing projects, including meeting deadlines and client expectations.

🎯 Requirements

• 1-2yrs of experience developing a strong technical background, including applied Python, Pyspark, and/or SQL skills • RegEx experience is not mandatory but would be considered a nice-to-have skill • Proficiency in data analysis, tagging systems, and machine learning tools. • Knowledge of consumer product data and experience working with retail or brand data. • Exceptional attention to detail, with a focus on delivering high-quality, accurate results. • Excellent problem-solving and critical-thinking skills. • The ability to manage multiple tasks and projects while maintaining a high degree of accuracy. • Strong communication and collaboration skills to work with internal teams and external clients. • Proven ability to execute projects efficiently and meet deadlines.

🏖️ Benefits

• We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more! • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!