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Analytics Engineer Job Opening In WorkFromHome – Now Hiring FlowMo


Job description

We are an end-to-end data consulting company with a remote team located throughout the United States (and beyond).

We are a team of data engineers, web developers, data scientists, and product folks who help guide our clients through the entire life-cycle of their data analytics journey.

Our deep experience and intellectual curiosity are what make us different.

Our clients range from start-ups to enterprises and operate in industries from finance to healthcare to e-commerce.

Our projects range from a 5-week business analytics “jumpstart” to months-long analytics and engineering support.

We use tools like GCP, dbt, Fivetran, and Looker.

In each case, our mission is to help clients’ businesses become more productive by making data-driven decisions.

Tasks

As Analytics Engineer, you’ll work with our clients as a critical participant in their BigQuery and Looker analytics journey.

This will require you to understand each client’s needs from an organizational, process, and technological perspective.

There are two critical components of your work: development and education.

Education : The education component of your work will center around Looker enablement and co-development.

You’ll work side by side with client technical teams to guide them on LookML modeling best practices, ensuring they build robust, scalable analytics foundations.

This includes leading interactive working sessions, conducting hands-on workshops to develop models and explores together, and answering in-depth questions about Looker’s semantic layer.

Development : The development component of your work will include technical tasks such as designing, implementing, and maintaining data models in Looker, ETL pipelines, and building actionable dashboards.

If you thrive on solving complex problems using the best industry tools and are passionate about bringing your expertise to contribute to our clients’ business growth, this is the job for you.

Requirements

We’re looking for an outstanding teammate with the following background and skills:

  • Fluent in English
  • Excellent presentation skills
  • 5+ years of data analytics or data engineering experience
  • Strong SQL and LookML skills
  • Hands-on experience with modern data stack tools, primarily in GCP (i.e. BigQuery, Looker, Vertex AI)
  • Ability to manage multiple clients and act as a primary data partner to their business
  • Strong ability to translate business requirements into technical solutions
  • Able to accommodate meetings in the Eastern Time Zone
  • React a plus

Considerations:

  • This is a remote position within a small team; independence and proactivity are essential.

  • Flexibility is required, as you may need to take on tasks outside of the usual job scope.

  • Openness to learning and resilience to setbacks are important, as trial and error will be part of the job.

Application Process:

  • Apply with your resume.

  • Complete a brief questionnaire sent via email.

  • Screening meeting
  • Participate in a SQL skill-based assessment (approximately 60 minutes).

  • Final interview via video call with team members.

We encourage you to apply and look forward to getting to know you!

#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
53253
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 FlowMo 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

FlowMo 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 FlowMo'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 FlowMo, 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 FlowMo'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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