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Analytics Engineer Job Opening In WorkFromHome – Now Hiring Yalo


Job description

Overview

Yalo is on a mission to bring conversational commerce to the world by marrying the scale of digital commerce with the personalization and simplicity of conversations.

We focus on Emerging Markets and aim to bring amazing experiences to populations traditionally underserved, such as small shop owners in Brazil ordering online for the first time.

Join us in the mission of improving billions of lives through the power of conversational commerce.

Your role: We are seeking a skilled Analytics Engineer with solid experience delivering clean data sets to end users and modeling data to empower end users to answer their own questions.

This person will be responsible for data structures, formats, and the construction of ETLs, and ideally has experience as a Data Analyst.

Responsibilities

  • Developing visualizations in Looker, Looker Studio and PowerBI for internal stakeholders and final customers.

  • Transforming, testing, deploying, and documenting data.

  • Applying software engineering best practices like version control and continuous integration to the analytics code base.

  • Help to design, build and maintain batch or real-time data pipelines in production.

  • Develop ETL (extract, transform, load) processes to help extract and manipulate data from multiple sources.

  • Help to design and maintain a semantic layer and collaborate in Data Governance.

  • Automate data workflows ideally experience in dbt Cloud.

  • Prepare raw data in Data Warehouses into a consumable dataset for both technical and non-technical stakeholders.

  • Partner with data scientists and data analysts to deploy machine learning and data models in production.

  • Participate in data monitoring about its performance and help to implement optimization strategies.

  • Collaboration: Work closely with cross-functional teams, product managers, and stakeholders to ensure the delivery of high-quality software.

  • Continuous Learning: Stay updated with the latest trends and technologies in data systems, ensuring that our systems remain state-of-the-art.

Job Requirements

  • Bachelor’s/Master’s degree in Computer Science, Information Systems, or a related field.

  • Minimum 3 years of Analytics Engineering experience.

  • Good experience in designing and building ETL/ELT models and data workflows.

  • Working knowledge on designing a BI semantic layer.

  • Good understanding of data structures, algorithms, and software design.

  • Advanced SQL skills and experience with relational databases and database design.

  • Experience working with BigQuery data warehouse and other solutions like Snowflake/ Databricks.

  • Ideally working knowledge in object-oriented languages (e.g. Python).

  • Knowledge of data pipelines services like Fivetran.

  • Good understanding of batch and stream pipelines like Kafka.

  • Ideally, experience in cloud environments and good understanding of microservices and APIs.
  • Understanding of data pipeline and workflow management tools (e.g., Airflow).

  • Strong project management and organizational skills.

  • Excellent problem-solving, communication, and organizational skills.

  • Proven ability to work independently and with a team.

Nice to have

  • Collaborative experience in Data Governance and semantic layers.

Soft Skills That Matter To Us

  • Work closely with cross-functional teams, product managers, and stakeholders to ensure the delivery of high-quality software.

  • Good attitude to act as a tech-lead - identifying the right resources, and supporting the team’s plan.

  • Excellent communication and collaboration skills.

What do we offer?

  • Unlimited PTO policy
  • Competitive rewards on the market range
  • Remote working is available (-+3 hours CT)
  • Flexible time (driven by results)
  • Start-up environment
  • International teamwork
  • You and nothing else limit your career here

We are an Equal Opportunity Employer, providing equal opportunities to individuals regardless of race, color, religion, national or ethnic origin, gender, sexual orientation, gender identity or expression, age, disability, protected veteran status, or any other legally protected characteristic.

Our commitment to fairness and equality is a fundamental pillar of our company.

#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, Colombia, highlighting market share and opportunities for professionals in Analytics Engineer roles.

58727 Jobs in Colombia
58727
53253 Jobs in Workfromhome
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Download Analytics Engineer Jobs Trends in Workfromhome and Colombia

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 Yalo 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 Colombia 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.

How Can I Improve My Chances of Getting Hired for Analytics Engineer?

To improve your chances of getting hired for Analytics Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Analytics Engineer Job Success

Yalo 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 Yalo'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.

During the Interview:

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.

Additional Tips:

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

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

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

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Yalo's products or services and be prepared to discuss how you can contribute to their success.

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

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