Senior Analytics Engineer

At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale. 

More than just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following.

Our Culture

At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:

• Mission-Driven: We focus on creating economic and social impact.
• People-Centric: We care deeply about our team’s growth, well-being, and sense of belonging.
• Innovative: We embrace change and find better ways to do things together.
• Globally Connected: We foster collaboration between diverse cultures and perspectives.

If you’re passionate about innovation, collaboration, and making a real impact, we’d love to have you on board!

Role Summary

As a Senior Analytics Engineer, you will own the architecture, quality, and scalability of CloudFactory’s analytics layer. You’ll lead a team transforming raw data into clean, well-documented, and performant data models that power trusted, data-driven decision-making across the organization.

This role blends analytics engineering, data science, and technical leadership. You’ll champion best-in-class engineering practices (version control, testing, CI/CD), build ML-ready data products, and collaborate closely with Data Engineering, Product, and Technology teams to deliver high-impact insights.

Key Responsibilities

Analytics Engineering & Data Architecture

• Design, build, and maintain scalable analytics data models using DBT and Snowflake.
• Apply best practices in dimensional modeling (Kimball / Star Schema) and design ML-ready feature tables.
• Select and implement appropriate data storage and modeling strategies based on performance and scalability requirements.
• Ensure high data quality, reliability, and documentation across the analytics layer.

Advanced Analytics & Predictive Data Products

• Lead the development of predictive data products to quantify user performance, churn risk, and customer health.
• Integrate fraud analytics and anomaly detection into core data transformations to enable proactive risk mitigation.
• Apply appropriate statistical and machine learning techniques, evaluating models and interpreting results independently.

Visualization & Storytelling

• Prepare and present compelling, easy-to-understand visualizations for stakeholders from executive to operational levels.
• Design complex data visualizations using calculated fields and industry best practices in visual design.
• Translate analytical findings into clear, actionable insights that influence business decisions.

Research & Innovation

• Explore emerging methodologies, including LLMs, GenAI, and advanced analytics techniques, to improve data-driven decision-making.
• Contribute to continuous improvement of analytics and data science practices across the organization.

Team Leadership & Collaboration

• Lead and mentor a team of data analysts and analytics engineers.
• Provide technical guidance on DBT best practices, data modeling, and analytics engineering standards.
• Support professional growth and capability development within the data team.
• Collaborate with Product, Engineering, and Business stakeholders to align analytics and AI solutions with business goals.

Requirements

Knowledge

• Strong understanding of data modeling best practices and modern analytics engineering workflows.
• Hands-on experience building and maintaining data pipelines using DBT, Snowflake, Python, and Fivetran.
• Ability to independently perform core data science tasks, including model selection, training, evaluation, and interpretation.
• Proficiency in data cleaning, preparation, and exploratory analysis.
• Strong analytical thinking and problem-solving skills.

Skills & Experience

Must-Have

• 3–5+ years of experience in dimensional modeling (Kimball / Star Schema).
• Proven experience leading projects end-to-end, from stakeholder problem definition to production data product.
• Hands-on expertise with Snowflake, including performance optimization and query tuning.
• Strong proficiency in Python, including production-level coding and statistical libraries.
• Solid understanding of machine learning and statistical techniques, with the ability to assess appropriate usage and evaluation.
• Experience with data transformation, modeling, and ETL pipelines.
• Strong data visualization and storytelling skills for business audiences.

Nice-to-Have

• Experience building dashboards in Tableau or Amazon QuickSight.
• Familiarity with workflow orchestration tools such as Airflow or Prefect.
• Experience with ClickHouse or similar analytical databases.
• Background in statistical modeling, time series analysis, machine learning, or AI.

Benefits

• Great Mission and Culture
• Meaningful Work
• Market competitive salary
• Quarterly variable compensation
• Remote and Home working
• Comprehensive medical cover 
• Group life insurance
• Personal development and growth opportunities
• Office snacks and lunch
• Periodic team building and social events

At CloudFactory, we believe that work should be more than just a job—it should be a platform for growth, impact, and community. Here, you’ll earn with purpose, learn every day, and serve a mission that truly matters. If you're looking for a career where you can develop professionally, contribute meaningfully, and be part of a global movement, we’d love to have you on this journey!

Join us today and be part of our mission to connect people and technology for a better world! Apply now and bring your whole, authentic self to work—we can’t wait to meet you!