68 Business Analyst jobs in Indore

Job Description: Business Analyst

Role Overview

We are looking for a highly motivated and data-driven Business Analyst to join our growing team. In this role, you will be the bridge between raw data and strategic decision-making. You will dive deep into complex datasets, uncover hidden trends, and build powerful dashboards that provide actionable insights to our product, marketing, sales, and operations teams.

The ideal candidate is a curious and analytical thinker who loves solving puzzles with data and is exceptionally skilled in turning numbers into compelling stories. While prior experience is a plus, we strongly encourage passionate individuals with a proven flair for data analysis to apply.

Key Responsibilities

• Data Analysis & Insights: Analyze large, complex datasets from various sources to identify business trends, user behavior patterns, and opportunities for growth and optimization.
• Dashboarding & Reporting: Design, develop, and maintain insightful and automated dashboards and reports using BI tools (e.g., Looker Studio, Tableau) and Google Sheets to track key performance indicators (KPIs) across the company.
• Business Performance Monitoring: Proactively monitor business metrics, create reports on performance, and provide clear, concise commentary on what the data tells us.
• Data-driven Recommendations: Translate your analytical findings into actionable recommendations and strategic insights for stakeholders to drive business improvements.
• Cross-functional Collaboration: Work closely with various teams to understand their data requirements, provide analytical support, and help them make informed decisions.
• Data Handling: Manage and manipulate data effectively using advanced Google Sheets functionalities (e.g., QUERY, VLOOKUP/XLOOKUP, Pivot Tables, Array Formulas).

Required Skills and Qualifications

• Exceptional Analytical Skills: A strong quantitative and problem-solving mindset with the ability to break down complex problems.
• Advanced Google Sheets Proficiency: Expert-level skills in Google Sheets, including complex formulas, pivot tables, data visualization, and managing large datasets.
• Dashboarding Expertise: Proven ability to create clear, intuitive, and visually compelling dashboards and reports that are easy for stakeholders to understand.
• Strong Business Acumen: An ability to understand business context and apply data insights to real-world challenges.
• Excellent Communication: Strong verbal and written communication skills, with the ability to present complex data and conclusions to non-technical audiences.
• A genuine passion for data and a relentless curiosity to go beyond the surface of the numbers.

Preferred Qualifications

• Basic to intermediate SQL knowledge
• Prior experience in a Business Analyst or Data Analyst role
• Experience with BI tools (e.g., Looker Studio, Tableau, Power BI)
• Experience in a startup, SaaS, or marketplace environment

• Assist in gathering and documenting business requirements from stakeholders.
• Support the analysis of business processes, identifying areas for improvement and efficiency gains.
• Contribute to the creation of functional specifications and user stories.
• Participate in user acceptance testing (UAT) and provide feedback on system functionality.
• Help in the preparation of reports and presentations on findings and recommendations.
• Collaborate with cross-functional teams, including IT, operations, and marketing, to understand project goals.
• Learn and apply business analysis methodologies and tools.
• Maintain documentation related to business processes and system requirements.
• Perform data analysis to support decision-making and strategic planning.
• Support the project management team in tracking project progress and identifying potential risks.
• Conduct market research and competitive analysis as needed.
• Communicate effectively with team members and stakeholders regarding project status and tasks.

• Recent graduate with a Bachelor's degree in Business Administration, Economics, Statistics, Computer Science, or a related field.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work effectively both independently and as part of a team.
• Basic understanding of business processes and project lifecycles is a plus.
• Strong attention to detail and organizational skills.
• Proactive attitude and a desire to contribute to business success.

• Assist in the collection, cleaning, and preprocessing of data from various sources.
• Support the creation and maintenance of reports and interactive dashboards.
• Perform basic data analysis to identify trends, patterns, and anomalies.
• Help in validating data accuracy and integrity.
• Contribute to data modeling efforts and the development of analytical solutions.
• Respond to ad-hoc data requests from different business units.
• Learn and apply statistical methods and data visualization techniques.
• Collaborate with senior analysts on assigned projects.
• Document data analysis processes and findings.
• Participate in team meetings and contribute to knowledge sharing.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Proficiency in Microsoft Excel (pivot tables, VLOOKUP, advanced formulas).
• Basic understanding of SQL for data querying.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Strong analytical and problem-solving abilities.
• Excellent attention to detail and accuracy.
• Good verbal and written communication skills.
• Eagerness to learn and adapt to new technologies and methodologies.

• Assist in the collection, cleaning, and preprocessing of data from various sources.
• Support the creation of reports and dashboards using business intelligence tools (e.g., Tableau, Power BI).
• Perform basic data analysis to identify trends, patterns, and insights.
• Help in validating data accuracy and integrity.
• Collaborate with team members to understand data requirements and reporting needs.
• Document data processes and analysis methodologies.
• Assist in ad-hoc data requests and analysis as needed.
• Learn and apply new data analysis techniques and tools.
• Contribute to team meetings and project discussions.
• Gain exposure to a professional work environment and industry best practices.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
• Basic understanding of data analysis principles and methodologies.
• Familiarity with spreadsheet software (e.g., Microsoft Excel) is essential.
• Exposure to SQL for data querying is a plus.
• Any prior experience or coursework with data visualization tools (e.g., Tableau, Power BI) is advantageous.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Excellent written and verbal communication skills.
• Eagerness to learn and a proactive attitude towards taking on new tasks.
• Ability to work effectively as part of a team.
• Must be available to work on-site in Indore, Madhya Pradesh, IN .

• Assisting in the collection and extraction of data from various sources.
• Performing data cleaning, validation, and transformation to ensure data accuracy and integrity.
• Conducting exploratory data analysis to identify patterns, trends, and anomalies.
• Supporting the development and maintenance of reports, dashboards, and visualizations using BI tools (e.g., Tableau, Power BI).
• Assisting in the preparation of data-driven presentations for business stakeholders.
• Collaborating with team members to understand business requirements and translate them into analytical tasks.
• Learning and applying statistical methods and analytical techniques.
• Contributing to the continuous improvement of data quality and reporting processes.
• Providing ad-hoc data analysis to support specific business queries.
• Developing a strong understanding of the business domain and key performance indicators.

• Assist in gathering and cleaning data from various sources to ensure accuracy and completeness.
• Support the creation and maintenance of business intelligence dashboards and reports using tools like Tableau, Power BI, or similar.
• Perform basic data analysis to identify trends, patterns, and anomalies.
• Help extract key insights from data to support strategic business decisions.
• Collaborate with team members on data validation and quality assurance tasks.
• Document data sources, methodologies, and findings clearly.
• Learn and apply SQL queries to extract and manipulate data from databases.
• Assist in preparing presentations and summaries of analytical findings.
• Participate in team meetings and contribute ideas for improving data processes.
• Gain practical experience with data analysis tools and techniques.

• Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of data analysis principles and statistical concepts.
• Familiarity with spreadsheet software (e.g., Microsoft Excel, Google Sheets) for data manipulation and analysis.
• Exposure to SQL is a strong plus.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is advantageous.
• Strong analytical thinking and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and challenges.

• Assist in collecting and organizing data from various sources.
• Perform data cleaning and validation to ensure accuracy and consistency.
• Conduct basic data analysis to identify trends, patterns, and anomalies.
• Create reports and dashboards using business intelligence tools (e.g., Tableau, Power BI) to visualize data insights.
• Support senior analysts in ad-hoc data analysis requests from different departments.
• Learn and apply data modeling techniques and database querying (SQL).
• Help in documenting data processes and methodologies.
• Participate in team meetings and contribute to discussions on data-related projects.
• Develop a foundational understanding of business processes and how data supports them.
• Gain exposure to data warehousing concepts and data governance principles.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
• Basic understanding of statistical concepts and data analysis techniques.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Basic knowledge of SQL for database querying.
• Proficiency in Microsoft Excel for data manipulation and analysis.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work independently and as part of a remote team.
• Eagerness to learn and develop skills in data analysis and business intelligence.

• Collect, clean, and validate data from various sources.
• Perform data analysis to identify trends, patterns, and insights.
• Develop reports and interactive dashboards using BI tools.
• Assist in translating data findings into business recommendations.
• Collaborate with team members on data-driven projects.
• Contribute to data quality initiatives.
• Learn and apply statistical analysis techniques.
• Present findings to stakeholders in a clear and concise manner.

• Assisting in the collection, cleaning, and preparation of data from various sources.
• Developing and generating regular reports and dashboards using BI tools.
• Performing basic data analysis to identify trends, patterns, and insights.
• Supporting senior analysts in ad-hoc data requests and projects.
• Validating data accuracy and integrity.
• Learning and applying BI software and tools (e.g., Tableau, Power BI, SQL).
• Documenting data sources, methodologies, and reporting processes.
• Collaborating with internal teams to understand their data needs.
• Contributing to the continuous improvement of data reporting processes.
• Assisting in the testing and deployment of new BI solutions.