Tata Steel
Role Description We are seeking a skilled and detail-oriented Data Analyst to join our team. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and a passion for transforming data into actionable insights. As a Data Analyst, you will be responsible for collecting, analysing, and interpreting large datasets to drive informed decision-making across various departments within the company.
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Key Objective / Overall Job Responsibility / Tasks
- R/A/C/I
Key Impacts
(Key measures / expectations)
Collect, clean, and preprocess data from multiple sources to ensure accuracy and reliability.
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Improvement orientation
Perform exploratory data analysis to identify trends, patterns, and anomalies.
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Develop and implement data models, algorithms, and statistical techniques to extract meaningful insights
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Create data visualizations, reports, and dashboards to communicate findings to stakeholders effectively.
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Conduct A/B testing and experiments to evaluate the effectiveness of different strategies.
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Continuously monitor and optimize data processes to improve efficiency and scalability
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Improvement orientation
Skills
Technical Competencies
- Proficiency in SQL, Python, R or other programming languages for data manipulation and analysis.
- Strong knowledge of statistical methods and machine learning techniques.
- Experience with data visualization tools such as Tableau, Power BI.
Behavioural Competencies
- Drive for Results
- Customer Orientation.
- Collaboration & Interpersonal Effectiveness
- Ability to work independently & Collaboratively in a fast paced environment.
Please Note – This is an Fixed term contractual role under direct payroll
Other Details
B Tech/ BE, M.Sc.(Maths/Statistics/Operation Research) or M Tech/ MS or equivalent in Electrical/ Electronics/ Computer Science /Instrumentation /Mechanical/Metallurgical/ /Industrial Engineering/ Maths/Statistics/Operation Research.
Degree course in Data Anlytics preferred
Knowledge of cloud platforms such as AWS, Google cloud, Azure.
Familiarity with data mining and predictive analytics techniques.