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Data Analyst
2 months ago
Talentbank is seeking a highly skilled Data Analyst to join our team. As a Data Analyst, you will play a crucial role in helping us make data-driven decisions to improve our business processes and enhance our services.
Key Responsibilities- Data Collection: Gather data from various sources, including databases, spreadsheets, APIs, and other relevant sources. This involves extracting data, cleaning it, and preparing it for analysis.
- Data Cleaning and Preprocessing: Ensure the data is accurate, consistent, and free of errors or inconsistencies. This step often involves dealing with missing data, handling outliers, and transforming data into a suitable format for analysis.
- Data Analysis: Use statistical and analytical techniques to identify patterns, trends, and correlations in the data. This may involve performing exploratory data analysis, hypothesis testing, and creating visualisations to present findings effectively.
- Reporting and Visualization: Present your analysis and insights to stakeholders in a clear and understandable manner. This could involve creating charts, graphs, dashboards, and reports to communicate the results of your analysis.
- Business Insights: Translate data-driven findings into actionable recommendations that can help improve business processes, enhance decision-making, and achieve organisational goals.
- Data Management: Ensure data security, privacy, and compliance with relevant regulations. Data analysts may also play a role in maintaining databases and data infrastructure.
- Collaboration: Work closely with other team members, such as data scientists, business analysts, and stakeholders, to understand requirements and provide support in data-related matters.
- Continuous Learning: Stay updated with the latest tools, technologies, and methodologies in data analysis to improve skills and efficiency.
- Advanced degree in Data Science, Statistics, Computer Science, or a related field, with a strong foundation in quantitative analysis.
- Proven experience as a Data Analyst, with expertise in data mining, machine learning, and statistical analysis.
- Proficiency in data science tools and programming languages (e.g., Python, R, SQL) and experience with data visualization tools (e.g., Tableau, Power BI).
- Strong problem-solving skills and the ability to work independently on complex analysis.
- Excellent communication skills, with the ability to present data and insights in a clear, concise manner to both technical and non-technical stakeholders.
- Free Medical Insurance: Insurance will be covered for Permanent Staffs.
- Free Dinner on all OT Projects: Dinner will be paid by the company on all OT Projects.
- Yearly Training: For your personal training & improvement purposes.
- Company Trip and Retreat: 15 days to 21 days annual leave.
- Travel and Parking Allowance: Additional allowance given for parking and travel for work.
