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.