Talantix.io
Lucid Software•22.02.26
AI SCORE 8.5

Analytics Engineer Internship - Remote

$50K–$70K/year
RemoteData Analytics
SQL•Python•R•Snowflake•dbt•Data Modeling•Data Transformation

About the Role

Join Lucid Software as an Analytics Engineer Intern and embark on a journey to enhance your skills in data analytics and engineering. This remote internship offers you the chance to work with a leading company recognized for its innovative approach to visual collaboration. As an Analytics Engineer Intern, you will help design, build, and maintain the analytics data warehouse, contributing to our mission of turning ideas into reality.

What You'll Do

  • Assist in the design and maintenance of the analytics data warehouse.
  • Work with various data sources including clickstream, CRM, and marketing data.
  • Focus on SQL-based data transformation using Snowflake and dbt.
  • Collaborate cross-functionally with data engineers and analysts to ensure data integrity.
  • Write production-quality data transformation code to support analytics initiatives.
  • Implement data tests for accuracy and reliability, ensuring high-quality data outputs.
  • Assist analysts in data modeling and SQL optimization to enhance performance.
  • Troubleshoot and resolve data issues as they arise.
  • Document data, systems, business logic, and metrics to maintain clarity and consistency.
  • Maintain the quality of the analytics codebase through regular reviews and updates.

Requirements

  • Pursuing a degree in a technical or quantitative field.
  • Desire to develop skills in SQL, Python, or R.
  • Comfortable using SQL for data transformations and analysis.
  • Ability to communicate data insights clearly and effectively.
  • Detail-oriented and organized team player with a passion for structure and efficiency.
  • Intended for students graduating in December 2026 or later.

Nice to Have

  • Experience with data visualization tools.
  • Familiarity with cloud data platforms.
  • Knowledge of data governance principles.

What We Offer

  • Opportunity to work in a hybrid environment that promotes flexibility.
  • Gain valuable experience in data analytics and engineering.
  • Collaborate with cross-functional teams and learn from industry experts.
  • Develop technical skills in a supportive and inclusive setting.
  • Be part of a company that values diversity and inclusion, ensuring a respectful environment for everyone.
Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This internship offers a unique opportunity to work remotely with a leading company in data analytics, providing hands-on experience and skill development.

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

Who Will Succeed Here

→

Proficient in SQL and Python for data manipulation and analysis, with a solid understanding of data transformation techniques using dbt and Snowflake.

→

Self-motivated and disciplined, capable of thriving in a remote work environment while effectively managing time and prioritizing tasks to meet project deadlines.

→

Eager to learn and adapt, with a strong analytical mindset and the ability to approach data modeling challenges creatively and methodically.

Learning Resources

→SQL for Data Sciencecourse
→Introduction to Data Modelingarticle
→Getting Started with dbtguide

Career Path

Analytics Engineer Internship(Now)→Junior Analytics Engineer(1-2 years)→Analytics Engineer(3-5 years)

Market Overview

Market Size 2024
$6.5B
Annual Growth
15.2%
AI Adoption in Data Analytics
48%
Investment in Analytics Tools
+35%
Labour Demand for Analytics Roles
+20%
Avg Salary for Analytics Engineers
$85K

Skills & Requirements

Required
SQLPythonR
Growing in Demand
Machine LearningData Visualization (Tableau, Power BI)Cloud Data Warehousing (e.g., Snowflake)
Declining
Excel VBATraditional ETL Tools (e.g., Informatica)

Domain Trends

Rise of Cloud-Based Analytics
By 2025, 75% of analytics workloads will be deployed in the cloud, driven by the increasing need for scalable data solutions.
Integration of AI in Data Transformation
AI-driven data transformation tools are expected to reduce data preparation time by 50%, enhancing productivity for analytics engineers.
Shift Towards Real-Time Data Analytics
Real-time analytics is projected to grow by 30% annually, as businesses demand faster insights for decision-making.

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