They are looking for a highly analytical and motivated Data Analyst/Data Scientist to join their central data team. As a new college graduate, you will play a key role in supporting their Enterprise Data Platform, analyzing complex datasets, and applying machine learning techniques to solve business problems. This role will provide you with hands-on experience in data analysis, visualization, and predictive modeling, allowing you to make a tangible impact across multiple business units. Candidates are advised to apply soon, before the link expires
Name of the
Organization: Analog Devices Inc (ADI)
Requisition
ID: R243841
Positions: Data
Analyst / Data Scientist
Location: Bangalore
Salary: As per
company Norms
Required
Qualifications:
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- Proficiency in Python, R, and SQL for data manipulation and analysis.
- Strong foundation in statistics, data analysis, and machine learning concepts.
- Familiarity with data visualization tools such as Tableau, Power BI, or similar.
- Ability to work in a collaborative, cross-functional environment and communicate effectively with both technical and non-technical stakeholders.
Preferred
Skills:
- Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
- Knowledge of data cleaning and transformation techniques.
- Basic experience with cloud platforms (Azure, AWS, or GCP).
- Familiarity with big data tools like Spark is a plus.
Responsibilities:
- Analyze large datasets to generate insights that drive business decisions and strategy.
- Develop dashboards and reports using tools like Tableau, Power BI, or equivalent.
- Collaborate with data engineers and business stakeholders to define analytical models and reporting needs.
- Assist in building and deploying predictive models and machine learning solutions.
- Perform data cleaning, transformation, and feature engineering to prepare data for analysis.
- Present findings and insights to key stakeholders through visualizations and reports.
- Contribute to data-driven initiatives to improve efficiency and decision-making across the company.
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