Talantix.io
Loft•04.03.26
AI SCORE 8.5

Remote Analytics Engineer - Data-Driven Solutions

$90K–$120K/year
RemoteAI/Big Data
SQL•Python•Data Modeling•Airflow•Cloud Platforms•GCP•AWS•dbt•CI/CD•Git•Data Analytics•Analytics Engineering

About the Role

We are seeking a talented Remote Analytics Engineer to join our dynamic team. As a Remote Analytics Engineer, you will play a crucial role in transforming data into actionable insights, enabling our company to make data-driven decisions. Your expertise in analytics engineering will help us optimize our data pipelines and enhance our analytics capabilities.

What You'll Do

  • Design and implement robust data models and pipelines using SQL and Python.
  • Utilize tools like Airflow and DBT to automate data workflows and ensure data quality.
  • Collaborate with cross-functional teams to gather requirements and deliver analytics solutions that meet business needs.
  • Mentor junior team members and contribute to a culture of learning and improvement.
  • Engage in stakeholder management to ensure alignment on analytics initiatives and deliverables.

Requirements

  • 2-5 years of experience as an Analytics Engineer or in a similar role.
  • Proficiency in SQL, Python, and data modeling techniques.
  • Experience with cloud platforms such as GCP or AWS.
  • Familiarity with CI/CD practices and tools like Git.
  • Strong analytical skills and the ability to communicate complex data insights effectively.

Nice to Have

  • Experience with Databricks and analytics engineering best practices.
  • Knowledge of UX/UI design principles.
  • Familiarity with AI and automation technologies.

What We Offer

  • Flexible benefits program including meals, transport, health, and education.
  • Comprehensive medical and dental insurance.
  • Access to gyms across Brazil and a mental health platform.
  • Flexible vacation policy and a day off for personal wellness.
  • Parental leave and a discounted pet health plan.
Why This Job8.5 of 10

This Remote Analytics Engineer position offers a unique opportunity to work with cutting-edge data solutions while enjoying flexible benefits and a supportive team environment.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficient in SQL and Python, with hands-on experience in building and optimizing data models and pipelines using tools like dbt and Airflow, ensuring efficient data flow and processing.

→

Self-motivated and disciplined, thriving in a fully remote work environment by demonstrating effective time management and proactive communication skills to collaborate across time zones.

→

Strong analytical mindset with a focus on data-driven decision-making, demonstrating the ability to transform complex datasets into actionable insights that align with business objectives.

Learning Resources

→SQL for Data Sciencecourse
→Introduction to Data Engineering with Google Cloudcourse
→Building Data Pipelines with Airflowcourse

Career Path

Remote Analytics Engineer - Data-Driven Solutions(Now)→Data Engineering Lead(1-2 years)→Director of Data Analytics(3-5 years)

Market Overview

Market Size 2024
$20.3B
Annual Growth
10.5%
AI Adoption
45%
Investment
+25%
Labour Demand
+30%
Avg Salary
$115K

Skills & Requirements

Required
SQLPythonData Modeling
Growing in Demand
Data WarehousingMachine LearningData Visualization (Tableau, Power BI)
Declining
Traditional ETL Tools (Informatica, Talend)R (for data analysis)

Domain Trends

Increased Demand for Real-Time Data Processing
Organizations are shifting towards real-time analytics, with 70% of enterprises planning to implement real-time data processing solutions by 2025.
Rise of Cloud Data Warehousing
The cloud data warehousing market is expected to grow by 25% annually, as more companies migrate their data solutions to platforms like GCP and AWS.
Integration of AI in Data Analytics
AI-driven analytics tools are projected to increase productivity by 40%, with 50% of analytics professionals adopting AI technologies by 2025.

Industry News

Loading latest industry news...

Finding relevant articles from the last 6 months

All job postings are automatically gathered by algorithms. We do not review or verify listings, be careful when applying and do not sign-in with iCloud or Google services.