Purpose The role of a data analyst can be defined as someone who has the knowledge and skills to turn raw data into information and insight, which can be used to make business decisions.

Key Responsibility Areas

· Using automated tools to extract data from primary and secondary sources

· Coordinate with the operation / IT department related to the source of data.

· Having feedback about the trucking industry will be more advantage

· Removing corrupted data and fixing coding errors and related problems

· Developing and maintaining databases, and data systems – reorganizing data in a readable format

· Performing analysis to assess the quality and meaning of data

· Filter Data by reviewing reports and performance indicators to identify and correct code problems

· Preparing daily reports on Truck turn-around time (TAT) for the journey, highlighting areas of concern.

· Reviewing the TAT report with the management for their views and feedback.

· Preparing reports for the management stating trends, patterns, and predictions using relevant data

· Responsible and accountable for reconciling transactions by comparing and correcting data

· Responsible and accountable for maintaining the database by entering, verifying, and backing up data.

· Increases productivity by developing automated accounting applications, coordinating information requirements.

· Gains and updates job knowledge to remain informed about novelty in the field

· Contributes to team effort by accomplishing related results as needed

Key Performance Indicators

· Reducing the Turn-around time (TAT) for the trips by highlighting areas on concern and attention.

· Provide timely and accurate GCC Operations inputs for any new business venture

· Incidents of proactive corrections in GCC Operations (minimization of loss, optimizing profits)

· Timely preparation of data for MIS reports to management

Competencies

· Strong mathematical skills to help collect, measure, organize and analyze data

· Knowledge of Oracle is required.

· Technical proficiency regarding database, data models, techniques for data mining, and segmentation.

· Proficiency in statistics and statistical packages like Excel to be used for data set analyzing

· Problem-solving skills

· Accuracy and attention to detail

· Adept at queries, writing reports, and making presentations

· Team-working skills

· Verbal and Written communication skills

· Proven working experience in data analysis

· Outstanding presentation, reporting and communication skills

· Proficient in spreadsheets, databases, MS Office, and financial software applications

Education Any Graduate

Experience 4-5 years of relevant experience