Data Analyst

We are looking for a detail-oriented and analytical Data Analyst to support our organization’s data-driven decision-making process. The ideal candidate will be responsible for collecting, processing, analyzing, and visualizing data to help drive operational efficiency and quality improvements across divisions. You will play a key role in ensuring the accuracy, consistency, and availability of data used for strategic planning and performance tracking.

Key Responsibilities:

• Collect, clean, and validate data from primary and secondary sources ensuring high standards of data accuracy and integrity.
• Extract and transform data using Python, SQL, and MATLAB for analysis and reporting purposes.
• Analyze large data sets to identify patterns, trends, and insights that support business strategies and quality improvement initiatives.
• Develop and maintain dashboards, reports, and management information systems (MIS) using tools like MS Excel, Power BI, or Tableau.
• Prepare timely and accurate reports on performance metrics, including visualizations and executive summaries.
• Assist in the design, development, and management of data systems and databases.
• Coordinate with cross-functional teams to understand data needs and provide analytical support.
• Support all divisional quality teams in data standardization and reporting consistency.
• Identify data quality issues and implement continual improvement initiatives to enhance data reliability and usability.
• Communicate findings and recommendations clearly through reports and presentations to stakeholders.
• Contribute to the development of a "Way Forward Matrix" by interpreting analytical results in line with organizational goals.

Required Skills & Qualifications:

• Graduate in Data Science, Data Mining, Computer Science, Statistics, or a related field.
• 1–5 years of experience in data analysis, reporting, or business intelligence roles.
• Strong proficiency in Microsoft Excel (pivot tables, formulas, charts).
• Working knowledge of

  Python

  ,

  SQL

  , and

  MATLAB

  for data manipulation and automation.
• Understanding of database concepts and hands-on experience with data querying.
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication skills with the ability to explain complex data in a clear and concise manner.
• Detail-oriented with a focus on accuracy and data quality.
• Ability to work independently and manage multiple tasks in a fast-paced environment.

Preferred Qualifications (Good to Have):

• Exposure to data visualization tools like Power BI, Tableau, or QlikView.
• Experience with statistical analysis and predictive modeling.
• Basic knowledge of quality management systems and metrics (especially useful in manufacturing or product quality domains).

Key Attributes:

• Analytical mindset with a passion for working with data.
• Process-oriented and structured in approach.
• Proactive attitude towards continual improvement.
• Ability to work collaboratively across departments.