Analytics Engineer

Quartile LLC; Brasil; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading retail media optimization company is seeking an Analytics Engineer to join their Analytics Team. You will develop dashboards and reports using sensitive data from major e-commerce platforms. The ideal candidate has experience with SQL, Python or Java, and PowerBi, and possesses strong analytical and business skills. This role offers full remote work and generous PTO in Brazil.

Serviços

Fully remote work

Generous Paid Time Off

The opportunity to join an international team

Qualificações

• 3+ years of experience with Python or Java.
• Experience with DAX for Measures is required.
• Business Acumen is essential.

Responsabilidades

• Develop reports that will be live on the Quartile website.
• Create tables to support report development using Databricks.
• Analyze architecture and innovate solutions for complex data models.

Conhecimentos

SQL for development and validation

Python or Java

PowerBi skills

DAX for Measures

Advanced English

Analysis Services and Cubes

Business Acumen

Ferramentas

Databricks SQL Analytics

Angular

Descrição da oferta de emprego

Quartile, the world's largest retail media optimization platform, is a trusted partner for multichannel e-commerce success. Through unmatchedexpertiseand patented AI technology, we fuel growth for 5,300+ brands and sellers worldwide and manage an annual ad spend exceeding$2 billion. The award-winning platform covers major marketplaces and ad channels foroptimalreach. The result is unprecedented granularity, smarter budgeting, and bespoke solutions for retailers.

Quartile is proud to be an equal opportunity employer with employees stemming from a wide range of backgrounds and experiences. As a business, we value the enrichment that diversity brings to our organization and are committed to a culture that creates a sense of inclusion and belonging. We welcome new perspectives and affirm that all employment decisions are made without regard to race, color, ancestry, religion, national origin, age, familial or marital status, sex, sexual orientation, pregnancy, gender identity or expression, disability, genetic information, veteran status, or any other classification protected by federal, state, or local law.

OVERVIEW:

We are looking for an Analytics Engineer to join our Analytics Team!

As an Analytics Engineer you will have the opportunity to work with a Team that develops reports and dashboards on production with high visibility and a lot of challenges, such as working with sensitive data, large volume, streaming and complex data models from the largest e-commerce platforms in the world.

REQUIREMENTS:

• Experience with SQL for development and validation
• Experience with Python or Java (3+ years)
• PowerBi skills (Navigation, Modelling and DB Relations)
• DAX for Measures
• Advanced English
• Analysis Services and Cubes – Tabular Model Experience
• Business Acumen

...If you reached this point, we hope you're feeling excited about the job description. Even if you don't feel that you meet every single requirement, we still encourage you to apply. We're eager to meet people that believe in Quartile's mission and can contribute to our team in a variety of ways – not just candidates who check all the boxes!

PREFERRED QUALIFICATIONS:

• Customized Visuals in PowerBi
• Experience with Python or Java (3+ years)
• Experience with visuals using Python frameworks
• Experience with Angular v12+
• Experience in Cloud Environment - Azure Preferable
• Experience using Databricks SQL Analytics
• Experience with APIs
• Experience with Ecommerce data and KPIs

WHAT YOU'LL DO:

As an Analytics Engineer you will:

• Develop Reports that will be live in Quartile website and Demos!
• Create tables to support reports development using Databricks
• Develop Reports that will be for Internal Usage of Managers and Directors
• Develop Tabular Models and design databases
• Operate in Databricks to prepare and enhance data
• Analyze Architecture and innovate solutions for complex data models

BENEFITS:

• Fully remote work
• The opportunity to join an international team
• Generous Paid Time Off
• This is a PJ contract based out in Brazil