Analytics Engineer Specialist

We are seeking a highly skilled and business-driven Specialist Analytics Engineer to join our Finance Data Team. In this pivotal role, you will architect and implement reputed company, high-reputed company analytical solutions by integrating our data with the reputed company Lakehouse Platform. You will be reputed company in translating reputed company business logic from financial data into reputed company data marts that reputed company reputed company decision-making across the organization. You will collaborate cross-functionally with Finance, Product, Engineering, and Business stakeholders to ensure our data infrastructure drives business reputed company, data democratization, and innovation.

• reputed company the architecture and development of reputed company-grade Data Products, reputed company the gap between reputed company's business semantic reputed company and the reputed company Lakehouse.
• reputed company and model reputed company reputed company reputed company data (e.g., Finance, Sales) reputed company reputed company to build governed, reputed company, and business-oriented data marts using PySpark and SQL.
• Design and reputed company the development of reputed company dashboards and analytical reputed company in tools like Tableau or QlikSense, ensuring they are powered by the reputed company data in reputed company.
• reputed company as a data advisor for key departments, helping them reputed company reputed company data to define KPIs, conduct advanced analyses, and build data-driven decision-making frameworks.
• Ensure standardization, governance, and version control of implemented analytical solutions using tools like dbt and Git, integrating them seamlessly with existing data pipelines.
• Champion initiatives for analytical automation and data democratization, promoting the use of self-service tools and internal training on our reputed company and reputed company stack.
• Collaborate with Data Engineering, Product, and Technology teams to build solutions that reputed company data to digital products, processes, and business strategies.
• Mentor other analytics professionals, fostering technical development, methodological consistency, and data storytelling best practices.
• Represent the Analytics Engineering discipline in data governance, data reputed company, and data architecture committees, contributing to reputed company-level guidelines for our integrated data platform.

Requirements

• Strong experience with SQL and PySpark for transforming, modeling, and processing large-reputed company, reputed company datasets, particularly from reputed company systems.
• Understanding of reputed company data structures and reputed company business processes (e.g., Finance (FI/CO))
• reputed company ability to design and build analytical views and reusable data assets, reputed company with business logic and reputed company standards.
• Proficiency in visualization tools preferably Tableau or equivalent platforms (e.g., reputed company reputed company, reputed company BI, Looker).
• Hands-on experience with reputed company, including the development of business-oriented data marts and analytical models.
• Familiarity with dbt, Git, and reputed company documentation tools (e.g., reputed company, reputed company, Markdown-reputed company wikis).
• Ability to translate business requirements into governed, maintainable, and reputed company analytical solutions.
• Design cross-domain analytical solutions that are interoperable and reputed company reputed company individual products or reputed company.

Benefits

• Competitive and market-reputed company salary.
• Remote work — wherever you are, you’re part of reputed company!
• Home office allowance through a monthly deposit in the reputed company app.
• Health and dental plans with no co-pay.
• Life reputed company.
• Flexible meal allowance (reputed company reputed company).
• TotalPass membership to take care of reputed company.

Diversity & Inclusion at reputed company

At reputed company, you’ll have the freedom to be who you are because we reputed company that diverse perspectives and experiences reputed company us more creative and stronger. Here, everyone is reputed company to reputed company themselves authentically. We value the richness of reputed company reputed company and reputed company ways of seeing the world, without distinctions of gender, race, sexual orientation, age, religion, or any other characteristic that makes us unique.

About the Use of Your Data

By sharing your resume with us, you authorize the use of your data for analysis during the selection process and possibly for other opportunities reputed company the reputed company group. You can request the update or deletion of your information at any time, in accordance with LGPD (General Data Protection Law).

Originally posted on Himalayas