Companhia

Lofty StyleVer mais

addressEndereçoSão Paulo, SP
CategoriaPesquisa e ciência

Descrição do trabalho

About Lo4y Style: As a trailblazer in women's fashion retail, Lo4y Style is embarking on an ambi?ous global expansion. A4er 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, versa?le, 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 experie.

Beneficios:

Formação Acadêmica:

Não informado

Experiência:

Salário:

A combinar

Cargo:

Consultor de Business Intelligence

Empresa:

Lofty Style

Comércio de roupas femininas.

Ramo:

Comércio Varejista

(EE)
Refer code: 1568436. Lofty Style - O dia anterior - 2024-03-05 16:19

Lofty Style

São Paulo, SP
Empregos de Senior Business Intelligence Analyst populares nas principais cidades

Compartilhe trabalhos com amigos