Analytics Analyst, Mid-level

🕒 June 29

🏢🏡 São Paulo – Hybrid

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 15%

infoinfo

🗣️🇧🇷🇵🇹 Portuguese Required

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Riachuelo

Riachuelo

WebsiteLinkedIn

10,000+ employees

Founded 1947

🛒 Retail

👗 Fashion

🛍️ eCommerce

Retail • Fashion • eCommerce

Riachuelo is a prominent retail company specializing in a wide range of fashion apparel, footwear, accessories, and home goods. With an extensive selection for men, women, and children, Riachuelo offers everything from casual wear to formal attire, including seasonal collections. Additionally, they are known for their commitment to sustainability and customer engagement through various programs and promotions.

📋 Description

• Serve as the analytical partner for the Casa Riachuelo team, understanding business problems and translating them into actionable analyses • Build and evolve dashboards and analytical datasets focused on the Casa context • Identify opportunities to automate recurring analyses and processes • Increase the team’s analytical autonomy, reducing dependence on external teams • Develop customer analyses (engagement, lifecycle, segmentations, purchasing behavior, etc.) • Explore opportunities across commercial levers such as pricing, promotions, assortment and cross-sell • Work closely with the CRM Data Science team to ensure technical alignment and best practices • Promote the use of Generative Artificial Intelligence for data analysis within the team

🎯 Requirements

• Solid experience in data analysis (analytics) • Proficiency in SQL and analytical tools (Python, advanced Excel or similar) • Ability to translate data into clear recommendations for business stakeholders • Strong communication and stakeholder influence skills • Hands-on profile with autonomy, proactivity and a strong sense of priorities • Differentials: • Experience building dashboards (e.g., Power BI, Looker, Tableau) • Experience in retail or CRM • Experience working in matrixed or multidisciplinary teams • Knowledge of analytical models (segmentation, propensity models, etc.)

🏖️ Benefits

• Health insurance • Dental insurance • Meal allowance (Vale Refeição) • Food allowance (Vale Alimentação) • Telemedicine • Gympass • Childcare assistance • Culture allowance (Vale Cultura) • Home office stipend • Profit-sharing (PLR) • Private pension plan • Group life insurance • Pharmacy discount program • Educational partnerships • Online learning platform • Employee discounts at Riachuelo

Apply Now

Similar Jobs

🕒 June 26

Mitel

1001 - 5000

🏥 Healthcare

🏨 Hospitality

💼 Consulting

WebsiteLinkedIn

Marketing Analytics Analyst at Mitel focusing on regional marketing performance analytics. Building dashboards in Tableau and translating data into actionable insights for stakeholders.

🏢🏡 São Paulo – Hybrid

⏰ Full Time

🟢 Junior

🟡 Mid-level

📉 Data Analyst

🕒 May 16

TOPMIND

501 - 1000

💼 Consulting

📦 Logistics

🤖 Artificial Intelligence

WebsiteLinkedIn

Data Analyst responsible for collecting, organizing, and analyzing data using SQL and Python. Creating reports and dashboards while ensuring data quality and integrity.

🏢🏡 São Paulo – Hybrid

⏰ Full Time

🟠 Senior

📉 Data Analyst

🗣️🇧🇷🇵🇹 Portuguese Required

🕒 February 20

TOPMIND

501 - 1000

💼 Consulting

📦 Logistics

🤖 Artificial Intelligence

WebsiteLinkedIn

Data Analyst working at a fast-growing company transforming data into actionable insights. Responsible for data management, KPI tracking, and stakeholder reporting within a hybrid work environment.

🏢🏡 São Paulo – Hybrid

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

🗣️🇧🇷🇵🇹 Portuguese Required

🕒 February 17

Rabobank

10,000+ employees

🛡️ Insurance

💼 Consulting

📦 Logistics

WebsiteLinkedIn

Analista de Sustentabilidade supporting Carbon Calculator project and data management responsibilities for Rabobank, focusing on sustainability efforts in Brazil.

🏢🏡 São Paulo – Hybrid

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

🗣️🇧🇷🇵🇹 Portuguese Required