We are seeking a detail-oriented and analytical Data Analyst to support data-driven decision-making across the organization. The ideal candidate will collect, analyze, and interpret data to generate actionable insights, support business operations, and improve overall performance. This role is suitable for candidates with foundational to intermediate experience in data analysis.
Key Responsibilities
* Collect, clean, and validate data from multiple sources to ensure accuracy and consistency
* Analyze datasets to identify trends, patterns, and anomalies
* Develop and maintain reports, dashboards, and visualizations using tools such as Excel, Power BI, Tableau, or similar
* Support business teams by providing data insights and ad-hoc analysis
* Assist in defining data requirements and metrics aligned with business objectives
* Document data processes, methodologies, and findings
* Collaborate with cross-functional teams including operations, finance, marketing, and IT
* Ensure data integrity and adherence to data governance standards
Required Qualifications
* Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field
* 3–5 years of experience in data analysis or a related role
* Proficiency in Microsoft Excel (pivot tables, formulas, data modeling)
* Working knowledge of SQL for querying databases
* Basic to intermediate experience with data visualization tools (Power BI, Tableau, Looker, etc.)
* Strong analytical and problem-solving skillsAttention to detail with the ability to manage multiple tasks
Preferred / Nice-to-Have Skills
* Experience with Python or R for data analysis
* Familiarity with statistical techniques and predictive modeling
* Knowledge of data warehousing concepts
* Understanding of business intelligence and KPI reporting
* Experience working with large or complex datasets
Soft Skills
* Clear written and verbal communication skills
* Ability to translate data findings into business insights
* Strong organizational and time-management skills
* Willingness to learn and adapt in a fast-paced environment
What We Offer
* Opportunity to work with real-world data and business problems
* Learning and growth opportunities in analytics and data tools
* Collaborative and supportive work environment
* Competitive compensation based on experience
Travel - Occasionally within UK
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