**Job Description:**

You will be joining our team as a Data Analyst/Scientist, leveraging your expertise in data analysis and programming, particularly in Python and SAS. Your primary responsibility will involve analyzing intricate data sets, crafting predictive models, and offering valuable insights to support strategic business decisions.

• *Key Responsibilities:**
• **Data Analysis:**
• Collect, clean, and preprocess extensive datasets from diverse sources.
• Perform exploratory data analysis (EDA) to detect trends, patterns, and insights.
• Apply statistical techniques and advanced analytical methods to address business challenges.
• **Programming:**
• Develop and manage scripts and programs in Python and SAS.
• Automate data processing and analysis workflows using Python and SAS.
• Implement and enhance predictive models using machine learning techniques.
• **Reporting and Visualization:**
• Generate interactive dashboards and reports using tools like Tableau, Power BI, or similar.
• Present findings and insights to stakeholders through clear and concise visualizations.
• **Collaboration:**
• Collaborate closely with cross-functional teams, including business analysts, data engineers, and other stakeholders.
• Provide technical guidance and mentorship to junior team members.
• **Continuous Improvement:**
• Stay updated with the latest trends and technologies in data science and analytics.
• Propose and execute enhancements to existing processes and methodologies.
• *Qualifications:**
• **Education:**
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• **Experience:**
• Proven experience in data analysis, statistical modeling, and programming.
• Proficiency in Python and SAS.
• Familiarity with data visualization tools, machine learning frameworks, and libraries.
• **Skills:**
• Strong problem-solving and analytical skills.
• Attention to detail and accuracy in work.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Organizational and project management skills.
• *Preferred Qualifications:**
• Experience in a specific industry (e.g., finance, healthcare, marketing).
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
• *What's On Offer:**
• Competitive compensation based on role and skill set.
• Medical Insurance Coverage valued at 10 Lacs.
• Social Benefits including PF & Gratuity.
• A dynamic, growth-oriented environment with associated challenges and rewards.
• Opportunity for personal growth, skill development, and career advancement.

You can contact Anwesha Banerjee for further details. **Job Description:**

You will be joining our team as a Data Analyst/Scientist, leveraging your expertise in data analysis and programming, particularly in Python and SAS. Your primary responsibility will involve analyzing intricate data sets, crafting predictive models, and offering valuable insights to support strategic business decisions.

• *Key Responsibilities:**
• **Data Analysis:**
• Collect, clean, and preprocess extensive datasets from diverse sources.
• Perform exploratory data analysis (EDA) to detect trends, patterns, and insights.
• Apply statistical techniques and advanced analytical methods to address business challenges.
• **Programming:**
• Develop and manage scripts and programs in Python and SAS.
• Automate data processing and analysis workflows using Python and SAS.
• Implement and enhance predictive models using machine learning techniques.
• **Reporting and Visualization:**
• Generate interactive dashboards and reports using tools like Tableau, Power BI, or similar.
• Present findings and insights to stakeholders through clear and concise visualizations.
• **Collaboration:**
• Collaborate closely with cross-functional teams, including business analysts, data engineers, and other stakeholders.
• Provide technical guidance and mentorship to junior team members.
• **Continuous Improvement:**
• Stay updated with the latest trends and technologies in data science and analytics.
• Propose and execute enhancements to existing processes and methodologies.
• *Qualifications:**
• **Education:**
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• **Experience:**
• Proven experience in data analysis, statistical modeling, and programming.
• Proficiency in Python and SAS.
• Familiarity with data visualization tools, machine learning frameworks, and libraries.
• **Skills:**
• Strong problem-solving and analytical skills.
• Attention to detail and accuracy in work.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Organizational and project management skills.
• *Preferred Qualifications:**
• Experience in a specific industry (e.g., finance, healthcare,