As a Data Analyst, you will play a pivotal role in driving business intelligence and data analytics initiatives. Your primary responsibility will be to analyze data, derive insights, and develop data-driven solutions to support strategic decision-making. Collaboration with stakeholders ensures alignment with organizational goals, while staying updated with industry trends fosters innovation in analytics practices.
Job Responsibilities:
- Utilize advanced analytical techniques to analyze and interpret data, identifying trends, patterns, and correlations.
- Generate actionable insights to support strategic decision-making and drive business growth.
- Develop predictive models and perform scenario analysis to forecast future trends and outcomes.
- Design and develop interactive dashboards and reports using tools like Power BI and Tableau.
- Present data-driven insights in a visually appealing and easy-to-understand manner for stakeholders.
- Customize dashboards to meet the specific requirements of different business units and stakeholders.
- Acquire, clean, and preprocess data from various sources to ensure data accuracy and integrity.
- Optimize data storage and retrieval processes to enhance efficiency and performance.
- Implement data governance best practices to maintain data quality and compliance standards.
- Collaborate with cross-functional teams and stakeholders to understand business requirements and prioritize analytical projects.
Requirements
- Bachelor's degree in Computer Science, Data Science, Statistics, or a related field; Master's degree preferred
- Min 1-3 years of experience in data analysis, business intelligence, or a similar role
- Proficiency in statistical analysis techniques and data visualization tools such as Power BI or Tableau
- Strong SQL skills for data manipulation and querying relational databases
- Experience with programming languages such as Python or R for data analysis and manipulation
- Experience working in cloud environment (AWS, GCP)
- Excellent analytical and problem-solving skills, with attention to detail
- Effective communication and collaboration abilities, with the capacity to work across diverse teams
- Proven ability to prioritize tasks, meet deadlines, and adapt to changing business requirements
- Passion for continuous learning and staying updated with emerging trends and technologies in data analytics
- Knowledge of statistical analysis, data modelling, and data mining techniques
- Knowledge of machine learning is a bonus
