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Analytics Engineer Job Opening In WorkFromHome – Now Hiring R2


Job description

At R2, we believe that small and medium businesses are the productive engine of society.

Small and medium businesses (SMBs) make up over 90% of companies in Latin America, yet they face a trillion-dollar credit gap.

Our mission is to unlock SMBs’ potential by providing financial solutions that are tailored to their needs.

We are reimagining the financial infrastructure of Latin America - where SMBs financial needs are satisfied without ever having to go to a bank.

R2 enables platforms in Latin America to embed financial services that SMBs can then leverage (starting with revenue-based financing and buy now pay later for business customers).

We are a tight knit team coming from organizations such as Google, Amazon, Nubank, Uber, Capital One, Mercado Libre, Globant, J.P. Morgan, and Ualá.

We are backed by world-class investors such as Gradient Ventures (Google’s AI-focused fund), COMETA, General Catalyst, Hi Ventures, Y Combinator, Femsa Ventures, Prosus, Endeavor Catalyst, among others.

We’re a data-intensive company.

Data is the core of our product and the foundation of every decision we make.

Job Description

As an Analytics Engineer, you’ll sit at the intersection of software engineering and business analytics - helping build the data models, pipelines, and analyses that unlock insights across R2.

You will be part of the Data Engineering team, and collaborate deeply with engineers, product teams, risk scientists, and business stakeholders to bring structure and clarity to our data.

Responsibilities

  • Own and scale our data transformation layer, modeling raw data into clean, well-documented, and reliable data sets using dbt.

  • Work closely with stakeholders to understand reporting and analytics needs, and translate them into scalable data models.

  • Design data marts and semantic layers in our data warehouse to enable self-service analytics and KPI tracking.

  • Partner with product, operations, and risk teams to enable decision-making through trustworthy data.

  • Develop and maintain automated data quality checks and alerts to ensure accuracy and freshness.

  • Help define and enforce best practices for data documentation, testing, and version control in the analytics stack.

  • Contribute to the development and upkeep of our data platform, including Airflow/Dagster orchestration and ELT pipelines.

  • Act as a bridge between data engineers and business users, ensuring that data is both technically sound and business-relevant.

Qualifications

  • You have 4+ years of experience in analytics engineering, data engineering, or a hybrid analytics/data science role with strong technical chops.

  • You are an expert in SQL and comfortable writing modular, testable, and performant queries.

  • You have hands-on experience with dbt and understand data modeling principles like Kimball, star/snowflake schemas, and dimensional modeling.

  • You are comfortable navigating and transforming data in a modern cloud data warehouse (we use Snowflake).

  • You’ve worked in a version-controlled analytics environment (git, CI/CD, documentation).

  • You are comfortable working in Python, especially for scripting or lightweight data processing tasks.

  • You work well cross-functionally and enjoy deep collaboration with business users to understand needs and guide them to or provide them the right data.

  • You are detail-oriented, curious by default, and obsessed with improving data reliability, usability, and accessibility.

Bonus Points

  • Experience with cloud data warehouses (ideally Snowflake)
  • Experience working within the AWS ecosystem
  • Experience working with 3rd party API’s

Location: São Paulo, Buenos Aires, Bogotá, Santiago de Chile, or CDMX

#J-18808-Ljbffr

Required Skill Profession

Bases De Datos, Analítica Y Bi


  • Job Details

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Unlock Your Analytics Engineer Potential: Insight & Career Growth Guide


Real-time Analytics Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Analytics Engineer in WorkFromHome, Chile, highlighting market share and opportunities for professionals in Analytics Engineer roles.

13697 Jobs in Chile
13697
12177 Jobs in Workfromhome
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Download Analytics Engineer Jobs Trends in Workfromhome and Chile

Are You Looking for Analytics Engineer Job?

Great news! is currently hiring and seeking a Analytics Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at R2 adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Chile laws and regulations

What Is the Average Salary Range for Analytics Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Analytics Engineer?

Key qualifications for Analytics Engineer typically include Bases De Datos, Analítica Y Bi and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Analytics Engineer Job Success

R2 interview tips for Analytics Engineer

Here are some tips to help you prepare for and ace your Analytics Engineer job interview:

Before the Interview:

Research: Learn about the R2's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

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Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Be Yourself: Let your personality shine through while maintaining professionalism.

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Turn Off Phone: Avoid distractions during the interview.

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To prepare for your Analytics Engineer interview at R2, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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