Data Analyst - Maju Dri
Roles & Responsibilities
Location : Maju Drive
Position :Data Analyst
Contract Duration: 1 year
Working hours:
- Mondays to Thursdays : 8.00 am to5.30 pm
- Fridays : 8.00 am to 5.00pm
- Lunch : 1 hour
Salary Payment: $3,400 - $3,600 per month depending on qualification and relevant working experience.
Job Purpose
• To create reports and dashboards to support the unit’s policy analysis and decision making through data-driven approaches
• To automate the reports and analyses where possible through tools or scripts
• To ensure data processing and cleaning / correction is done to ensure reports are accurate
Responsibilities
• To develop reports and / or dashboards based on data sets used across volunteer management operations, board processes and existing monthly reporting.
• Collaborate with business/process owners to understand requirements and develops routine and ad-hoc reports and dashboards in line with these requirements
• Acquire data from primary/secondary data sources and analyse results using statistical techniques
• Perform data cleaning/wrangling/mining to uncover underlying trends
• Ensure compliance with data security and governance guidelines
• Focuses on descriptive and diagnostics statistical techniques to obtain insight e.g. regression
• Develop interactive visualisation tools/dashboards for decision making
• Define, formulate and manage data principles and fields, ensuring a robust data architecture with structures in place to filter data fields as necessary
Requirements
- Bachelor’s degree in Information Technology, Computer Science, Applied Mathematics/Statistics, Business Analytics, or a related field; or an Advanced Diploma in a data-related field.
- At least 2 years of relevant experience in statistical analysis and data visualisation.
- Proficient in at least two of the following: Microsoft Excel, Power BI, Tableau, or Qlik Sense.
EA License No: 96C4864 Reg. No.: R1106922 Goh Khar Keow
Tell employers what skills you have
Business Data Analysis
Analysis of Data Sources
Report Development
Data Cleaning
Diagnostics
Field Data Collection
Ad Hoc Reporting
Applied Statistics
Information Technology
Data Governance
Computer Science
Information Sciences
Volunteer Management
Regression
Data Masking
visualization system