West Africa Industrialisation, Manufacturing & Trade Summit & Exhibition
Data Analys
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Role Description
The Data Analyst is responsible for collecting, processing, analyzing, and interpreting data to support informed decision-making and business improvement. This role involves transforming complex datasets into meaningful insights, identifying trends and patterns, and providing data-driven recommendations to support organizational goals.
The Data Analyst collaborates with business teams, technical teams, and stakeholders to understand data requirements, develop analytical solutions, and deliver accurate reports and dashboards. Responsibilities include:
- Data collection
- Data cleaning
- Statistical analysis
- Visualization
- Performance tracking
- Presenting findings in a clear and actionable manner
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
The role requires strong analytical thinking, attention to detail, and the ability to translate business questions into effective data solutions. The Data Analyst contributes to improving operational efficiency, identifying opportunities, and supporting strategic decisions through accurate and insightful data analysis.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Qualifications
- Strong understanding of data analysis principles, methodologies, and analytical techniques.
- Ability to collect, clean, validate, and analyze structured and unstructured data.
- Proficiency in data analysis tools, spreadsheets, databases, and visualization platforms.
- Ability to create reports, dashboards, and data visualizations to communicate insights effectively.
- Strong analytical and problem-solving skills with attention to accuracy and detail.
- Understanding of statistical concepts and data interpretation methods.
- Ability to use SQL or similar tools for data querying and manipulation.
- Familiarity with data visualization tools and reporting frameworks.
- Ability to translate business requirements into meaningful data analysis solutions.
- Strong communication skills with the ability to present findings to technical and non-technical stakeholders.
- Ability to manage multiple analytical tasks and prioritize work effectively.
- Commitment to data quality, accuracy, confidentiality, and continuous improvement.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location