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Data Analyst
Resumo da oferta
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.
Qualificações
- 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.
Responsabilidades
- 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.
Conhecimentos
Formação académica
- 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.
- 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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