About the Job: Data Analyst Analytics Trainee
Overview:
As a Data Analyst Analytics Trainee, you will play a vital role in harnessing data to drive business decisions and foster organizational growth. This position focuses on applying statistical and analytical techniques to derive actionable insights from data, thereby supporting the company's strategic objectives.
Key Responsibilities:
- Analyze and manipulate complex, high-volume data sets.
- Develop, implement, and maintain databases, analytical tools, and solutions.
- Conduct ad-hoc analysis and clearly present findings.
- Document data infrastructure, processes, and analytical solutions.
- Collaborate with cross-functional teams to address business needs and provide data-driven insights.
- Build predictive models and apply machine learning algorithms.
- Identify opportunities for process improvements and data-driven decision-making.
- Create and maintain visualizations and reports for stakeholders.
- Perform quality assurance on new data sources and reports.
- Detect trends and patterns in complex data sets.
- Engage in continuous learning and professional development.
- Apply statistical methods to enhance business performance.
- Ensure data accessibility and reliability by supporting data infrastructure.
- Communicate complex data findings effectively to non-technical stakeholders.
Required Qualifications:
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field.
- Proficiency in SQL, Python, and other relevant programming languages.
- Knowledge of statistical analysis techniques and methodologies.
- Familiarity with data visualization tools such as Tableau, Power BI, or similar.
- Strong problem-solving and critical thinking abilities.
- Excellent verbal and written communication skills.
- Understanding of data warehousing and ETL processes.
- Ability to work collaboratively within a team environment.
- Basic knowledge of machine learning algorithms and principles.
- Experience with data manipulation, cleansing, and processing.
- Familiarity with cloud platforms like AWS or Azure.
- Capacity to manage multiple priorities in a fast-paced, dynamic environment.
- Demonstrated ability to extract insights from large data sets.
- Understanding of data privacy, security best practices, and data governance regulations.
Skills: SQL, Python, Statistical Analysis, Data Visualization, Machine Learning, Data Infrastructure, AWS
Compensation:
In India, the base salary for this position ranges from ₹400,000 to ₹500,000 per year. The exact compensation may vary based on skills, experience, and location.
