Data Analyst

Alpro Pharmacy; Seremban; On-site; MYR 150,000 - 200,000; Full time

Job summary

A local pharmacy in Seremban is seeking a Data Analyst to support data-driven decisions. The role involves collecting and analyzing data from various functions, preparing visualizations, and ensuring data integrity. Candidates should possess a diploma or degree in data analytics or related fields, along with strong skills in Excel, SQL, and problem-solving. This position offers an opportunity to contribute to business planning and support cross-functional teams.

Qualifications

• Diploma or Degree in relevant fields.
• Proficient in Microsoft Excel with knowledge of SQL, Power BI, or Tableau.
• Strong analytical skills and attention to detail.

Responsibilities

• Collect, clean, and organize data from multiple business functions.
• Analyze datasets to identify trends and insights.
• Prepare reports and visualizations for stakeholders.
• Work with teams to understand data needs.

Skills

Data analysis

Microsoft Excel (pivot tables, formulas)

SQL

Power BI

Tableau

Problem-solving

Attention to detail

Education

Diploma or Degree in Data Analytics, Statistics, Computer Science, Business, or related field

Job description

Job Responsibilities

• Collect, clean, and organize data from multiple business functions (e.g., finance, operations, sales, supply chain).
• Analyze datasets to identify trends, patterns, and insights that support decision‑making.
• Prepare reports, dashboards, and visualizations for management and stakeholders.
• Work with cross‑functional teams to understand data needs and provide analytical support.
• Conduct performance tracking on KPIs, budgets, and operational efficiency.
• Ensure accuracy, integrity, and confidentiality of data across systems.
• Support automation and improvement of reporting processes using digital tools.
• Contribute to business planning and forecasting through data‑driven insights.

Job Requirements

• Diploma or Degree in Data Analytics, Statistics, Computer Science, Business, or a related field.
• Proficient in Microsoft Excel (pivot tables, formulas); knowledge of SQL, Power BI, or Tableau is an advantage.
• Strong analytical and problem‑solving skills with attention to detail.
• Good communication skills to explain data insights clearly to non‑technical audiences.
• Ability to manage large datasets, prioritize tasks, and meet deadlines.

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