Senior Analytics Engineer
Remote · Kathmandu, Bagmati Province, Nepal
Job Summary
Own the architecture, quality, and scalability of CloudFactory’s analytics layer. 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. 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. Responsibilities include designing, building, and maintaining scalable analytics data models using DBT and Snowflake; applying dimensional modeling (Kimball/Star Schema); leading development of predictive data products to quantify user performance, churn risk, and customer health; integrating fraud analytics and anomaly detection; evaluating models; creating compelling visualizations; researching emerging methodologies including LLMs and GenAI; mentoring a team of data analysts and analytics engineers; collaborating with stakeholders to align analytics with business goals.
Required Qualifications
- 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
- Experience with data transformation, modeling, and ETL pipelines
- Strong data visualization and storytelling skills for business audiences
- Experience with DBT and Fivetran
- Knowledge 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
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.