Kuala Lumpur RM4000 - RM8000

Senior Data Analyst

Job conditions

Allowances: Subject to approval

Annual leave: 14

Benefits: Subject to approval

Holidays: TBD

Probation: TBD

Job Type: Permanent

Working Days: Monday - Friday

Working Hours: 9.30 am - 6.30 pm

Skills and Requirements

Candidate must possess at least Diploma/ Bachelors Degree/Post Graduate Diploma/Professional Degree in mathematics, statistics or equivalent.

Required Skill(s): Forecast, Data Analysis Optional Programming languages, such as SQL, Oracle, Python, advance excel.

A high level of mathematical ability.

Able to work independently on assignment without detailed instructions, with good initiative and cross-team player.

Problem-solving skills.

Ability to meet deadlines under pressure.

Self-motivated and capable to work with minimal supervision.

Strong attention to detail.

Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources.

Job Responsibilities

Provide concise data reports and clear data visualizations for management.

Analyze and interpret results using standard statistical tools and techniques.

Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.

Compile, verify accuracy and sort information according to priorities to prepare source data for computer entry.

Review data for deficiencies or errors, correct any incompatibilities if possible and check the output.

Respond to queries for information and access relevant files.

Comply with data integrity and security policies.

Provide innovative analytical insights.

Conduct detailed data analysis on data used across business units to evaluate business processes and improve on/create new feature.

Respond to data and product related inquiries in real-time to support business and technical teams.

Provide expertise and translate the business needs to design; and develop tools, techniques, and metrics, and dashboards for insights and data visualization.

Responsible for developing and executing tools to monitor and report on data quality.

Responsible for establishing appreciation and adherence to the principles of data quality management, including metadata, lineage, and business definitions.

Provide support to IT teams in managing security mechanisms and data access governance.

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