Data Analyst
2 weeks ago
● Design, implement, and refine predictive and analytical models for complex business problems.
● Translate ambiguous business questions into structured data problems and actionable solutions.
● Explore large datasets to uncover hidden patterns, trends, and opportunities.
● Build and maintain scalable data pipelines and workflows for production-ready analytics.
● Conduct an in-depth evaluation of model behaviour, identifying weaknesses and proposing solutions.
● Assess new tools, frameworks, and methods for potential application in real projects.
● Present findings and actionable insights to both technical and non-technical stakeholders.
Ideal Profile:● Bachelor's degree in Computer Science, Data Science, or a related field.
● years of professional experience in data analysis, business intelligence, or related fields.
● Strong expertise in SQL, Excel, and data visualisation tools (Tableau, Power BI, Looker, etc.).
● Experience with statistical analysis, regression, or predictive modelling.
● Ability to work with large datasets and transform raw data into actionable insights.
● Experience collaborating with cross-functional teams to influence product or business decisions.
● Strong problem-solving skills and ability to tackle ambiguous analytical challenges.
● Clear communication skills to present complex insights to technical and non-technical stakeholders.
● Familiarity with scripting or programming languages (Python, R) is a plus.
What's on Offer?- Flexible working options
- Great work environment
- Opportunity to make a positive impact
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