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 Data Analyst, you will turn data into clear, actionable insights that support business decisions across CloudFactory. You will build and maintain reports and dashboards, identify trends and data quality issues, and collaborate with stakeholders and data engineers to keep our data reliable and useful. This is a great opportunity to grow your data analytics expertise within a mission-driven, fast-scaling organization.

Please note: This is a full-time, fixed-term employee position with an expected duration of 9 months.

Responsibilities:

Business intelligence and reporting

• Provide insights relevant to specific tasks or projects, developing reports and dashboards focused on answering business questions or KPIs.
• Analyze data to identify trends, patterns, and outliers, presenting findings clearly to stakeholders and team members.
• Recommend initial actions or next steps based on analysis.

Dashboard and report maintenance

• Maintain accuracy of assigned reports and dashboards, monitoring for data discrepancies or inconsistencies.
• Analyze the root cause of identified data inaccuracies and coordinate with data engineers for correction.
• Provide initial troubleshooting and support to users encountering issues with reports or dashboards.

Data quality

• Identify and flag data quality issues within your area of analysis, applying data quality checks to catch errors, inconsistencies, or missing values.
• Document and report data quality issues to senior analysts or data quality specialists.
• Follow established data governance procedures regarding data access and usage.

Data modelling support

• Design and develop basic data models for well-defined analytics requirements, applying data normalization techniques.
• Write DBT scripts to perform data transformations, including filtering, aggregation, and joining tables.
• Collaborate with stakeholders to understand their data needs and identify potential model improvements.

Data visualization

• Create clear, well-designed visualizations for data analysis tasks, selecting appropriate chart types for the data and insights.
• Apply dashboard design principles to organize multiple visualizations for effective storytelling.
• Document data sources and steps used to create visualizations.

Data security and compliance

• Adhere to established data security and compliance protocols while handling data.
• Follow data access control procedures and complete required data security and compliance training.

Requirements

Must-have skills (required)

• Good understanding of data analytics concepts, data visualization, and business intelligence tools.
• Proficient in SQL for querying and extracting data from the data warehouse.
• Advanced spreadsheet skills, including pivot tables, index-match, and macros or Google Apps Script.
• Experience creating dashboards and reports using tools such as QuickSight or Tableau.
• Understanding of data modelling principles, with experience writing DBT scripts for basic transformations.
• Able to identify and flag data quality issues, applying data quality checks during analysis.
• Strong communication skills, able to present findings clearly to stakeholders.

Academic and professional requirements

• Bachelor's degree in a quantitative field, such as Statistics, Data Science, Business, or Economics, or equivalent practical experience.
• 2–4 years of experience in a data analysis role.

Nice-to-have skills (preferred)

• Experience with DBT or similar data transformation tools.
• Exposure to Python for data analysis.
• Familiarity with data governance practices.

Benefits

• Great Mission and Culture
• Meaningful Work
• Market competitive salary
• Quarterly variable compensation
• 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!