Data Analyst

🕒 Abril 20

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YipitData

SiteLinkedInTodas as Vagas

201 - 500 funcionários

💸 Finanças

🏢 Corporativo

Finance • Enterprise • Data Analysis

YipitData é uma empresa que se especializa em fornecer insights precisos e oportunos sobre mais de 1. 000 empresas, analisando bilhões de pontos de dados todos os dias. Ela oferece pesquisas detalhadas para ajudar investidores a tomar decisões mais inteligentes e auxilia empresas a aumentar a participação de mercado, as vendas e a base de clientes. A YipitData entrega dados alternativos por meio de uma variedade de datasets, incluindo dados de recibos, dados de cartão, dados da web e resultados financeiros divulgados publicamente. Esses dados são usados para acompanhar tendências de mercado, comportamento do consumidor e categorias de produtos, permitindo às empresas obter maior transparência sobre métricas de desempenho. Seus serviços atendem a investidores, empresas e parceiros de dados, com forte foco em precisão e na entrega de dados quase em tempo real.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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!