Hindustan Coca Cola Beverages: Data Analyst
Position Overview:
As a Data Analyst, you will play a crucial role in collecting, processing, and analyzing data to provide valuable insights and support informed decision-making within the organization. This role involves working with various stakeholders to understand data requirements, developing analytical models, and presenting findings in a clear and actionable manner.
Key Responsibilities:
Data Collection and Cleaning:
- Acquire, extract, and clean large datasets from various sources to ensure data accuracy and reliability.
- Identify and rectify data quality issues, inconsistencies, and anomalies.
Data Analysis:
- Perform exploratory data analysis to identify trends, patterns, and correlations in the data.
- Utilize statistical methods and data visualization techniques to present insights effectively.
Report Generation:
- Generate regular and ad-hoc reports to communicate key findings and trends to relevant stakeholders.
- Develop and maintain automated reporting processes to streamline data delivery.
Data Modeling:
- Design and implement data models to support business requirements and analysis goals.
- Collaborate with cross-functional teams to develop and optimize data models for specific projects.
Data Interpretation and Presentation:
- Translate complex data findings into understandable and actionable insights for non-technical stakeholders.
- Present data-driven recommendations to support business decision-making processes.
Collaboration:
- Work closely with business units to understand their data needs and provide analytical support.
- Collaborate with data engineers, IT professionals, and other stakeholders to ensure data accessibility and integrity.
Continuous Improvement:
- Stay informed about industry trends, best practices, and emerging technologies in data analysis.
- Propose and implement improvements to existing analytical processes and methodologies.
Qualifications:
- Bachelor's degree in statistics, mathematics, computer science, or a related field.
- Proven experience as a Data Analyst or in a similar role.
- Proficiency in data analysis tools and languages (e.g., SQL, Python, R, Excel).
- Strong analytical and problem-solving skills.
- Excellent attention to detail and the ability to work with large datasets.
- Effective communication skills for presenting complex information to a non-technical audience.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
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