About the job
Key responsibilities:
Data Collection and Analysis:
- Collect, organize, and clean large datasets from various sources, ensuring data integrity and quality
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and relationships in the data
- Develop and implement data validation and cleansing procedures to ensure accuracy and completeness
- Use statistical methods and data visualization techniques to present findings in a clear and concise manner
Data Modeling and Interpretation:
- Develop and maintain statistical models to analyze complex datasets and derive meaningful insights
- Identify key performance indicators (KPIs) and create dashboards and reports to track and monitor them
- Collaborate with stakeholders to understand their data analysis needs and provide actionable recommendations
- Interpret and communicate analytical findings to non-technical stakeholders in a way that facilitates decision-making
Data Visualization and Reporting:
- Design and create visually appealing and interactive dashboards, reports, and presentations
- Present data-driven insights using data visualization tools such as Tableau, Power BI, or Python
- Develop automated reporting processes to ensure timely and accurate delivery of data analysis results
- Continuously enhance data visualization techniques to improve the effectiveness of communication
D. Collaboration and Cross-functional Support:
- Collaborate with cross-functional teams such as data scientists, business analysts, and data engineers to support data-driven decision-making
- Provide analytical support and insights for various business initiatives, such as marketing campaigns, product launches, and process improvements
- Stay up to date with the latest data analysis techniques, tools, and trends in the industry and share knowledge with the team
Skill(s) required
Data Analytics Data Science Machine Learning Python SQL
Who can apply
Candidates from engineering backgrounds are preferred
Perks
Informal dress code Free snacks & beverages
