Business Analyst jobs in India

Objective:

An "Senior Business Analyst" is a senior professional with deep subject matter expertise in the assigned platform, typically without a people leadership role but supporting management functions and content leadership. All criteria of the preceding level are fulfilled.

• Advanced knowledge of data security
• Excellent communication skills toward facilitating the use of a new software system
• Strong data-gathering and analysis skills
• Strong technical understanding of business analysis frameworks and business processes
• Good understanding of SQL
• Proven ability to integrate into a team and build relationships with senior leaders and managers
• Identifying functionalities and system efficiency by working with end users, and internal department

The business analyst role involves managing financial planning and analysis while providing strategic insights to drive business growth.

An "Senior Business Analyst" is a senior professional with deep subject matter expertise in the assigned platform, typically without a people leadership role but supporting management functions and content leadership. All criteria of the preceding level are fulfilled.

As a Business Analyst, you will be tasked with optimising business operations, implementing new strategies, and driving change within the organisation. Your primary responsibilities will include evaluating business processes, anticipating requirements, uncovering areas for improvement, and developing and implementing solutions.

As a Business Analyst & Program Manager, you will be responsible for leading and providing strategic guidance to the Business Head. Your role will encompass project management, analysis, and communication with various stakeholders.

Job Summary:We are seeking a highly skilled and experienced Data Analyst/Scientist to join our team. The ideal candidate will have a strong background in data analysis and programming, with expertise in both Python and SAS. This role involves analyzing complex data sets, developing predictive models, and providing actionable insights to drive business decisions.

Key Responsibilities:

• 
  
  Data Analysis:
  • Collect, clean, and preprocess large datasets from various sources.
  • Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights.
  • Apply statistical techniques and advanced analytical methods to solve business problems.
• 
  
  Programming:
  • Develop and maintain scripts and programs in Python and SAS.
  • Automate data processing and analysis workflows using Python and SAS.
  • Implement and optimize predictive models using machine learning techniques.
• 
  
  Reporting and Visualization:
  • Create interactive dashboards and reports using tools such as Tableau, Power BI, or similar.
  • Present findings and insights to stakeholders through clear and concise visualizations.
• 
  
  Collaboration:
  • Work 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 up-to-date with the latest trends and technologies in data science and analytics.
  • Propose and implement improvements 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.
  • Strong proficiency in Python and SAS.
  • Experience with data visualization tools and techniques.
  • Familiarity with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, etc.).
• 
  
  Skills:
  • Excellent problem-solving and analytical skills.
  • Strong attention to detail and accuracy.
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Strong organizational and project management skills.

Preferred Qualifications:

• Experience in the [insert relevant industry, e.g., finance, healthcare, marketing, etc.] industry.
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

Location - Pune, Mumbai