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Data Analyst

Flextravelsolutions

Montreal

Remote

CAD 60,000 - 95,000

Full time

30+ days ago

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Job summary

Join a fast-growing travel tech company that values diversity and innovation. As a Data Analyst, you'll leverage your expertise in forecasting and machine learning to provide data-driven insights that shape business strategies. Collaborate with cross-functional teams to create predictive models and optimize ETL processes using AWS services. This role offers remote work flexibility and opportunities for personal and professional growth. If you are passionate about data and eager to make a difference in a dynamic environment, this is the perfect opportunity for you.

Benefits

Remote work flexibility
Mentorship and guidance
Opportunities for growth
Supportive team environment

Qualifications

  • 3+ years of experience in data analysis, forecasting, or machine learning.
  • Strong proficiency in Python for data analysis and modeling.

Responsibilities

  • Analyze large datasets to identify trends and drive business decisions.
  • Build and maintain forecasting and predictive models using Python.

Skills

Data Analysis
Machine Learning
Forecasting Techniques
Python
SQL
Business Analysis

Tools

AWS Glue
AWS S3
AWS Redshift
Tableau
Power BI

Job description

At Flex Travel Solutions, we foster an environment of passion, innovation, and collaboration. We believe in a dynamic work culture that empowers employees to grow and expand their knowledge. If our ethos resonates with you, we’d love for you to join us!

As a technology-first company, we’re currently looking for a Data Analyst with strong forecasting and machine learning expertise to join our team.

The Role:

As a Data Analyst at FTS, you will report to the Head of Data Management, working closely with business and technical teams to provide data-driven insights and predictive models. This role requires a blend of analytical skills, business acumen, and hands-on experience with Python, AWS, and forecasting techniques.

Responsibilities:
  • Analyze large datasets to identify trends and drive data-informed business decisions.
  • Build and maintain forecasting and predictive models using Python and machine learning techniques.
  • Work closely with stakeholders to translate data insights into actionable business strategies.
  • Develop and optimize ETL processes using AWS Glue, S3, and Redshift.
  • Create data visualizations, dashboards, and reports to communicate findings effectively.
  • Collaborate with cross-functional teams to ensure data integrity and availability.
  • Continuously research emerging data science trends and apply them to enhance forecasting accuracy.
Experience/Skills Required:
  • 3+ years of experience in data analysis, forecasting, or machine learning.
  • Strong proficiency in Python for data analysis, modeling, and automation.
  • Experience working with AWS services (Glue, S3, Redshift, Lambda, etc.).
  • Solid understanding of forecasting techniques and time-series analysis.
  • Experience in business analysis—translating data into business insights.
  • Travel industry experience is a plus.
  • Strong SQL skills and experience with large-scale data processing.
  • Knowledge of data visualization tools (e.g., Tableau, Power BI) is an asset.
What you can expect from us:
  • Remote work flexibility
  • Mentorship and guidance from senior team members.
  • Collaboration with a supportive and committed team.
  • Opportunities for personal and professional growth.
Why join our team?

As a fast-growing travel tech company, diversity drives our identity. We believe that the value we deliver to clients comes from the quality of our team, which is why we are committed to building a culture of growth, diversity, ownership, and excellence.

Because creativity, passion, integrity, and wellness are the company’s core values, we are looking for people who are enthusiastic, innovative, open-minded, team players, and eager to learn. Flex Travel Solutions is an advocate for workforce diversity and as such, encourages the participation of women in management roles.

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