- Local de trabalho: São Paulo, SP
- Regime de contratação de tipo: Prestador de Serviços (PJ)
- Jornada: Período Integral
- Área e especialização profissional: Informática, TI, Telecomunicações - Administrador de Banco de Dados
- Nível hierárquico: Especialista
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Senior Business Intelligence Analyst - São Paulo, Brasil - LOFTY STYLE
Descrição
About Lofty Style:As a trailblazer in women's fashion retail, Lofty Style is embarking on an ambitious global
expansion. After doubling our size in 2023, we're set to become global opening new stores in the
US and Europe. Our brand ethos centers on providing women with comfortable, versatile, and
stylish wardrobe choices. To support our growth and maintain our innova?ve edge, we're looking
for a Senior Business Intelligence Analytics passionate about using visual tools (Tableau, PowerBI)
turn data into ac?onable insights.
Role Overview:
This pivotal role calls for a seasoned Business Intelligence Analy?cs ready to tackle global retail
challenges and drive Lo4y Style's expansion with cuPng-edge BI solu?ons. You will be at the
forefront of developing interac?ve dynamic dashboards and analy?cal models, revolu?onizing
our strategies for product development, distribu?on, KPIs, QBRs, customer engagement, and
market penetra?on. It demands a mix of cri?cal thinking, advanced technical skills, and the ability
to deliver strategic, analy?c, and repor?ng solu?ons that enhance business processes.
This role demands a profound comprehension of retail analy?cs, encompassing brick-and-mortar
store data, in-store performance metrics, ecommerce and more. Your advanced exper?se in data
analysis, strategic thinking, and communica?on will be pivotal in delivering insighUul analy?cal
outcomes that significantly drive business decisions.
Key Responsibili?es:
• Design and implement interac?ve dashboards to display key business KPIs, including
Gross Profit Margin, Opera?ng Margin, and Net Profit Margin, and more.
• Engage in exploratory data analysis to cra4 analy?cal models, applying visualiza?on
techniques suited for business insights.
• Create sophis?cated quan?ta?ve models with diverse so4ware tools for predic?ve
analy?cs, contribu?ng to discussions on strategy and opera?ons.
• Translate model outcomes into business terms, conduct risk assessments, and u?lize
advanced analy?cal methods such as op?miza?on and machine learning.
• Validate and showcase models with rigorous error metrics, develop algorithms combining
various methods for comprehensive solu?ons, and integrate these models into business
opera?ons.
• Offer strategic advice based on analy?cal findings for business planning, program
development, and budge?ng.
• Lead analy?cal projects to deliver impacUul insights, coordina?ng with the CTO and
Digital Channels Director.
• Analyze extensive data sets for detailed repor?ng on store performance, ecommerce, and
staffing, iden?fying success drivers.
• Draw strategic insights from a mix of data sources, including POS and customer data, to
create visualiza?ons that support business growth.
• Conduct customer-centric analyses using detailed customer and consumer behavior data
to target and engage desired demographics.
• Employ systema?c experimenta?on to refine store metrics and strategies con?nually.
• Oversee the development and maintenance of reports and dashboards, ensuring
essen?al metrics are highlighted and monitored for efficiency.
• Communicate complex analyses to stakeholders, fostering informed decision-making.
• Collaborate with Data Engineering to enhance data quality and analy?cal methodologies.
• Manage a diverse project porUolio, assessing impacts on the business and customers.
• Lead within the Analy?cs team, sharing insights, sePng strategies, and promo?ng best
prac?ces.
Qualifica?ons:
• Master's degree preferred in Business Analy?cs, Data Science, Economics, Finance,
Sta?s?cs, Opera?ons Research, Industrial Engineering, or a related discipline, with a
Bachelor's degree as a minimum requirement in a technical field such as Computer
Science, Economics, Finance, Sta?s?cs, Analy?cs, or Industrial Engineering.
• A robust experience profile with at least 8 years in Analy?cs showcasing leadership and
the ability to present insights to cross-func?onal teams.
• Minimum 4 years of experience in the retail industry, demonstra?ng a thorough
understanding of retail opera?ons and consumer behavior.
• Proficiency with a suite of BI and data visualiza?on tools, including SQL, Power BI, Google
Data Studio, and Tableau, paired with exper?se in complex SQL queries and managing
large datasets.
• Demonstrated experience in advanced analy?cs projects, employing decision science,
op?miza?on, machine learning, forecas?ng, and a deep understanding of A/B tes?ng
processes and tools like APT, Qubit, and Op?mizely.
• Excep?onal communica?on skills and a proven track record in team leadership and
people management, capable of fostering collabora?on across business, analy?cs, and
data engineering teams.
Tempo de experiência: Entre 5 e 10 anos
Usuários da profissão Senior Business Intelligence Analyst em São Paulo
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Andre Souza Da Silva
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Roberto Benedito
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Levi Sousa
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Raul Junior
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Robson da Costa
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