Senior Data Analyst at CloudFactory Limited

Kathmandu Metropolitan City, Bagamati Province, Nepal -

Full Time

Start Date

Immediate

Expiry Date

15 Apr, 26

Salary

0.0

Posted On

15 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, R, Statistical Analysis, Data Visualization, Tableau, Power BI, Looker, Data Integrity, Data Governance, Predictive Modeling, Performance Forecasting, Root Cause Analysis, Collaboration, Attention to Detail, Ambiguity Tolerance, Global Mindset

Industry

technology;Information and Internet

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! About the Role We are looking for a highly analytical and detail-oriented Senior Data Analyst to support operational and performance-driven projects in a fast-paced, production environment. In this role, you will work closely with cross-functional stakeholders to translate business and project goals into robust data models, generate actionable insights, and ensure data integrity, governance, and performance visibility across projects. This role is ideal for someone who enjoys working with ambiguity, building datasets from scratch, and using statistical rigor to drive operational excellence. Core Responsibilities 1. Requirements Definition & Data Engineering Engage with stakeholders to capture, clarify, and articulate data requirements. Translate project goals into well-structured, scalable data schemas. Identify gaps in existing datasets and design systematic approaches to generate or source required data. 2. Statistical Performance Analysis Apply statistical techniques such as regression analysis, distribution analysis, and hypothesis testing to performance data. Distinguish between natural variance and statistically significant changes in throughput or quality. Use historical data to forecast future performance and proactively identify potential SLA risks. 3. Data Quality & Governance Take ownership of data integrity throughout the project lifecycle. Define and implement data governance requirements to ensure high-quality and reliable performance data. Design and execute compliance testing frameworks aligned with internal governance, security, and privacy standards. 4. Operational Efficiency & Optimization Build and maintain advanced operational dashboards to track performance, throughput, and accuracy. Provide real-time visibility into project health, enabling Project Leads to make timely, data-driven decisions. Conduct root cause analysis using methods such as outlier detection and correlation analysis when KPIs are not met. Design and run controlled experiments to test workflow changes and statistically validate process improvements. Cultural Attributes Ambiguity Tolerance: Comfortable building datasets and solutions when clean or complete data does not yet exist. Global Mindset: Experience collaborating with distributed teams across Asia, Africa, Europe, the US, and South America. Attention to Detail: Deep care for data accuracy and a strong instinct to investigate anomalies and outliers. Experience 5+ years of experience in a data analytics role, ideally within an operational or production environment. Technical Skills Advanced proficiency in SQL. Strong hands-on experience with Python or R for statistical analysis. Expertise in BI and data visualization tools such as Tableau, Power BI, or Looker. Statistical & Analytical Foundation Solid understanding of probability distributions. Strong grasp of correlation vs. causation. Experience with predictive modeling and performance forecasting. Communication Proven ability to translate complex analytical findings into clear, actionable insights for non-technical stakeholders and leadership. Key Success Indicators (First 90 Days) Baseline Establishment: Complete a comprehensive audit of existing project data schemas and identify at least three optimization opportunities. Governance Framework: Implement standardized compliance testing for a minimum of two major workflows. Strategic Reporting: Deliver a predictive performance model capable of identifying SLA risks at least two weeks in advance. 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!

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Responsibilities

The Senior Data Analyst will engage with stakeholders to define data requirements and translate project goals into scalable data schemas. They will also build operational dashboards and conduct statistical analyses to drive operational excellence.