Senior Data Analyst
AI summary
CloudFactory is hiring a Senior Data Analyst in Kampala, Uganda, on a full-time, fixed-term 3-month contract. The role focuses on turning data into actionable insights, building and maintaining dashboards and reports, supporting data quality, and collaborating with stakeholders and data engineers. This is a mid-level opportunity within a mission-driven, globally connected organization.
- Full-time, fixed-term 3-month employee position
- Mid-level role requiring 2 years of experience
- Based in Kampala, Uganda
- Focus on business intelligence, reporting, and data quality
- Requires English proficiency and full-time 8 to 5 working hours
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- Required2+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in security, factory, segurancaThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
- UnclearComfort with the Fixed Term contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Senior Data Analyst evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to CloudFactory and the role in Not specified.
- Add concrete examples related to security, factory, seguranca, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from BrighterMonday Uganda; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- BrighterMonday Uganda
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Senior Data Analyst role in security, factory?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Not specified under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research CloudFactory before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
- C
- Senior Data Analyst
- Cloudfactory
- Today
- New
- Kampala
- Full Time
- IT & Telecoms
- Confidential
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Experience
- Level:
- Mid level
- Length:
- 2 years
- Language Requirement:
- English
- Working Hours:
- Full Time - 8 to 5
- Applicant
- Location:
- Uganda
- Job descriptions &
- creating dashboards and reports using tools such as QuickSight or Tableau
- Understanding of data modelling principles, with
- 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
- 2-4 years of
- in a data analysis role
- Nice-to-have Skills (preferred)
- with DBT or similar data transformation tools
- Exposure to Python for data analysis
- Familiarity with data governance practices
Requirements
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
3 months.
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
Bachelor's degree in a quantitative field, such as Statistics, Data Science, Business, or Economics, or equivalent practical
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
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!
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