Data Analyst at TakaTaka Solutions

Job Description :


Ensure the accuracy, completeness, and timeliness of data entry into designated databases or information systems for each shift
Regularly check for quality deviations of sorted products and communicate issues immediately to the team leader
Fill scale checklists daily and follows up with team lead and maintenance to repair within timelines
Fill daily the board to visualize the PRF performance
Create a weekly Variance report of recyclables sorted vs. recyclables baled
Retrieve specific data from the database systems as requested and conduct data validation
Follow up on spotted data inconsistencies to optimize accurate recording.
Implement corrective measures and validation procedures to improve data accuracy and reliability
Support team leads in quality control - at the conveyors and at the lines
Support management team on wide range of data-handling requests
Identify any gaps in the data collection and reporting process, bring up solutions and push for implementation
Proactively suggests data collection / operational changes to improve data collection / accuracy
Prepare and present weekly key results and variance reports to management and trends.
Implement automated data checks and validations using spreadsheets or basic tools, aiming to reduce manual errors.​
Review historical trends and produce monthly analysis on material flow efficiency, highlighting deviations and recommending corrective actions.​
Liaise directly with operations and maintenance to ensure that technological solutions for data collection are adopted and maintained.
Participate in the weekly Stock take of unbaled recyclables and accurately record the data
Drive investigation on data variances by collaborating within and outside the department
Design and implement advanced dashboards or visualization reports for management, allowing real-time tracking of PRF KPIs.​


Minimum Qualifications:


Degree in a relevant field such as Actuarial Science, Information and Data management Systems, or Accounting.
At least 1-2 years of experience in data management and information systems.
Experience with data management software and tools (e.g., Sheets, ERP systems)