CloudFactory

Information Technology and Services

SeniorAnalyticsEngineer

Kathmandu, Bagmati Province, Nepal FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Analytics Engineer at CloudFactory. Skills: Analytics Engineering, Data Science, Technical Leadership, DBT, Snowflake, Python. Design, build, and maintain scalable analytics data models. Apply best practices in dimensional modeling”

What You'll Achieve.

Transform raw data into clean, well-documented, and performant data models; Power trusted, data-driven decision-making; Build ML-ready data products; Deliver high-impact insights; Enable proactive risk mitigation; Influence business decisions; Improve data-driven decision-making; Align analytics and AI solutions with business goals

Industry & Context.

Information Technology and Services
Problems you'll solve

Analytical thinking and problem-solving skills

What They're Looking For.

Must Have

3–5+ years of experience in dimensional modeling (Kimball / Star Schema), Experience building and maintaining data pipelines using DBT, Snowflake, Python, and Fivetran, Hands-on expertise with Snowflake, Proficiency in Python, Solid understanding of machine learning and statistical techniques, Experience with data transformation, modeling, and ETL pipelines, Data visualization and storytelling skills

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

What You'll Do.

and maintain scalable analytics data models

Apply best practices in dimensional modeling

Design ML-ready feature tables

Select and implement data storage strategies

Ensure high data quality

Lead development of predictive data products

Integrate fraud analytics and anomaly detection

Apply statistical and machine learning techniques

Evaluate models and interpret results

Prepare and present compelling visualizations

Design complex data visualizations

Translate analytical findings into actionable insights

Explore emerging methodologies

Contribute to continuous improvement

Lead and mentor a team

Provide technical guidance

Support professional growth

Collaborate with stakeholders

How You'll Work.

Team & Collaboration

Collaborate closely with Data Engineering, Product, and Technology teams; Collaborate with Product, Engineering, and Business stakeholders

Communication Scope

Visualization and storytelling skills for business audiences

Process & Methodology

Proven experience leading projects end-to-end

Full Job Description

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 model

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