Data Analyst Smart Business World Ltd
- Southall UB2 4BD, United Kingdom
- Full-time
- In-person
- GBP £31,500 - £33,300 per year
Posted 6 days ago
Smart Business World Ltd, a company committed to optimizing business processes through data-driven insights, is seeking a Data Analyst. The role involves extracting, analyzing, and interpreting datasets to drive strategic decisions. The successful candidate will join a dynamic team focused on delivering actionable insights across various business areas.
In this role you can expect to have the responsibilities:
- Collect, clean, and analyze large datasets to identify trends and insights.
- Support strategic decision-making through data interpretation in marketing, operations, and finance.
- Conduct exploratory data analysis and provide statistical insights to improve outcomes.
- Write and optimize SQL queries for data extraction and transformation.
- Maintain and ensure accuracy of data pipelines and ETL processes.
- Collaborate with teams to integrate data into centralized systems.
- Develop and maintain dashboards and reports with Power BI or Tableau.
- Present complex data insights in an understandable format for stakeholders.
- Regularly update KPIs to track performance.
- Identify inefficiencies in processes and recommend improvements.
- Automate repetitive tasks for streamlined data workflows.
- Work with stakeholders to understand data needs and deliver solutions.
- Provide insights and recommendations to support business goals.
- Communicate findings effectively to technical and non-technical audiences.
This role comes with the following benefits:
- Company pension
- On-site parking
- Yearly bonus
This role requires you to have:
- Bachelor’s degree in Data Science, Computer Science, or related field.
- Proficiency in SQL for data work.
- Experience with Power BI or Tableau for data visualization.
- Understanding of statistical analysis and data modeling.
- Strong analytical and problem-solving skills.
You would benefit from having:
- Proficiency in Python or R for data analysis.
- Experience with Google Analytics or similar tools.
- Familiarity with AWS, Azure, or Google Cloud.
- Knowledge of predictive analytics and machine learning.
The job is based in person with a schedule from Monday to Friday.
The content on this page is not written or managed by Alooba. Please reach out to Smart Business World Ltd directly for any addtional information regarding this role.
