Job Description
Project Role :
Project Role Description :
- Develop business insights using predictive statistical modeling activities. Use analytical tools and techniques to generate and improve decision-making by modeling client, market, and key performance data.
Must have skills : Data Analytics
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Job summary:
Key Responsibilities:
- Statistical Modeling & Predictive Analysis: This involves applying statistical techniques and machine learning algorithms (like regression, decision trees, clustering, etc.) to derive business insights from client and market data.
- Data Visualization: Using tools like Tableau or Power BI to visualize insights and assist decision-making processes.
- Collaboration & Teamwork: Engaging with team members to develop solutions and stay updated on industry trends.
Core Skills:
- Data Analytics Expertise: Required proficiency in analyzing large datasets and interpreting the results to inform business decisions.
- Statistical Analysis: A strong background in using statistical methods to draw insights, particularly with machine learning algorithms.
- Data Munging: Ensuring data quality through cleaning, transformation, and normalization.
- Experience with Tools: Hands-on experience with visualization tools like Tableau and Power BI, as well as knowledge of machine learning and statistical tools.
Required Experience:
- A minimum of 3 years of experience in data analytics, focusing on statistical modeling and business insight development.
- Experience working with data cleaning and transformation techniques to ensure the quality and integrity of datasets.
Function:
This role clearly falls under the Data Analytics or Data Science function. The role focuses heavily on data analysis, statistical modeling, machine learning algorithms, and driving business insights, which are all core components of data analytics and data science practices.
