• Gather data from primary and secondary sources, ensuring the upkeep of databases and data systems.
• Detect, examine, and decode trends or patterns within intricate datasets.
• Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors.
• Coordinate with management to align business and informational priorities.
• Identify opportunities for process enhancements.
• Employ statistical techniques to scrutinize data and produce actionable business insights.
• Collaborate with the management team to determine and rank the needs of different business units.
• Develop data dashboards, charts, and visual aids to support decision-making across departments.
• Convey insights through both reports and visual presentations.
• Partner with engineering and product development teams to understand business requirements.
• Engage with managers from various departments to specify data requirements for analysis projects tailored to their unique business processes.
• Possess a solid foundation in statistics and practical experience with statistical software (such as Excel, SPSS, SAS) and mastery in data analysis languages including SQL, Python, and R.
• Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.
• Capable of critically evaluating data to derive meaningful, actionable insights.
• Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background.
• A bachelor's degree in Computer Science, Information Management, Statistics, or a comparable discipline is required, with prior experience in data analysis or a related field being advantageous.
Job Types: Full-time, Permanent
Pay: ?20,000.00 - ?30,000.00 per year
Benefits:
• Health insurance
• Paid sick time
• Provident Fund
Schedule:
• Day shift
Supplemental pay types:
• Yearly bonus
Experience:
• total work: 3 years (Preferred)
Work Location: In person
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