81 Data Analysis jobs in Indore

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform data analysis using statistical methods and tools to identify trends, patterns, and insights.
• Create data visualizations (charts, graphs, dashboards) to communicate findings effectively.
• Support senior analysts in developing reports and presentations for business stakeholders.
• Learn and apply data analysis software and techniques.
• Collaborate with team members on data-related projects.
• Contribute to the maintenance and improvement of data quality.
• Participate in training sessions and actively seek opportunities for skill development.
• Document methodologies and findings clearly and concisely.
• Help in identifying opportunities for process automation and efficiency.

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or a related discipline.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel is required. Familiarity with programming languages like Python or R is a significant advantage.
• Basic understanding of statistical concepts.
• Excellent written and verbal communication skills.
• Ability to learn new technologies and concepts quickly.
• Proactive attitude and strong desire to learn and grow in a data-driven field.
• Ability to manage tasks and time effectively in a remote work environment.
• Detail-oriented and committed to accuracy.
• Must be a recent graduate (within the last 1-2 years).

• Process and analyze satellite imagery and aerial data for agricultural applications.
• Develop and apply remote sensing techniques for crop monitoring and health assessment.
• Utilize GIS software to create spatial data layers and conduct analysis.
• Perform statistical analysis on agricultural datasets to identify trends and patterns.
• Develop vegetation indices and crop health indicators.
• Map soil types, topography, and other relevant agricultural parameters.
• Provide data-driven recommendations for irrigation, fertilization, and pest management.
• Collaborate with agronomists and farmers to implement precision agriculture strategies.
• Stay updated on advancements in remote sensing, GIS, and agricultural data analytics.
• Prepare technical reports and presentations of findings.

• Master's degree or Ph.D. in Agronomy, Agricultural Science, Remote Sensing, GIS, or a related field.
• Minimum of 6 years of experience in applied remote sensing and agricultural data analysis.
• Proficiency in remote sensing and GIS software (e.g., ENVI, ERDAS Imagine, ArcGIS, QGIS).
• Experience with programming languages like Python or R for data analysis is highly desirable.
• Strong understanding of agricultural principles and crop physiology.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and manage multiple projects in a remote environment.

Hiring for Analyst -Business Intelligence - Night shift

Skills required:

Very strong experience in SQL

Strong experience in Data visualization tools (Power bi/ Tableau)

Strong in communication

Looking from Media background.

Exp - 3- 9 years

Shift - US shift (6:30 pm- 3:30 am)

Interested candidate can drop your resume on

Skills: Advanced SQL, Tableau, Power BI(Good to have), Python(Secondary)

Experience: 3+Years

Work Mode: Remote

Shift Timing: 3PM IST to 12AM IST

Responsibilities:

• Lead data-driven recommendations and insights to support strategic projects across Central Operations
• Lead cross-functional teams in specific initiatives; recognizes dependencies between teams; drive and clarify ownership of those dependencies
• Understand the business, track operational performance, provide insights and recommendations
• Support company-wide programs through ownership of analytical projects
• Establish strong working relationships with peers in other Global Operations teams and cross-functional partners (sales leadership, finance, sales operations, systems) to achieve objectives
• Build dashboards and automated reports, working proficiently with data visualization and querying/analysis tools (e.g., Tableau, SQL, Python)
• Own data tables, and work with stakeholders to ensure available data is accurate, consistent, and timely
• Own technical implementations and documentation associated with datasets and strive for 100% accuracy
• Comfortably identify and frame specific business problems; creates hypotheses, builds key analyses, and develops recommendations; gains alignment with stakeholders for implementation.
• Independently manage expectations from stakeholders; manages deadlines/timeframes for larger initiatives and projects with minimal guidance on prioritization or dependencies

Preferred Qualifications:

• BS degree in a quantitative discipline (statistics, operations research, computer science, information engineering, engineering, applied mathematics, economics, business analytics, etc)
• 2+ years of experience working with data in a business setting, including data management, process execution, operations, reporting, or analytics.
• 4+ years of experience in Tableau/PowerBI and SQL
• 2+ years of experience in Python
• Exceptional analytical and technical skills, with clear attention to detail
• Ability to leverage numbers and insights to influence & drive sound decision making

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions. Our data analytics and software platforms support data science, commercial operations, real world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence delivering analytical guidance to the field through SalesOps™, our cloud-based sales planning and operations platform.

We are leaders in managing data using the latest cloud information management and big data technologies. We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform

Key Responsibilities:

Data Analysis and Reporting:

• Develop and manage dashboards, reports, and data visualizations using BI tools such as Tableau.
• Analyze sales trends, market performance, and customer behavior to identify opportunities and risks.
• Provide insights to support strategic decision-making for marketing campaigns, product launches, and portfolio management.

Data Management:

• Ensure data accuracy, integrity, and security by collaborating with IT and data engineering teams.
• Manage large datasets from internal and external sources, including CRM systems, market intelligence platforms, and supply chain databases.
• Support the implementation and optimization of data warehouses and ETL processes.

Strategic Collaboration:

• Work closely with cross-functional teams such as marketing, sales, R&D, and operations to understand their data needs and provide tailored solutions.
• Act as a liaison between technical teams and business stakeholders to ensure alignment on BI initiatives.

Market and Competitive Intelligence:

• Monitor market trends, regulatory changes, and competitor activities to provide actionable intelligence.
• Support forecasting and scenario planning based on industry insights.

Process Improvement:

• Identify and implement best practices in BI processes to enhance efficiency and accuracy.
• Train team members and stakeholders on the use of BI tools and data interpretation.

Qualifications:

• 3-5 years of experience in business intelligence or data analytics, preferably in the pharmaceutical industry.
• Proficiency in BI tools (Tableau, PowerBI and advanced Excel skills)
• Strong SQL and data modeling capabilities; experience with Python or R is a plus.
• Solid understanding of pharmaceutical market dynamics, including knowledge of pharma market data sources such as IQVIA, IMS Health, or Symphony Health is a must.
• Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical audiences.
• Strong problem-solving skills and a proactive approach to addressing business challenges
• Familiarity with statistical analysis and predictive modeling techniques is a plus and good to have.

• Assist in the collection, cleaning, and preprocessing of data from various sources.
• Perform descriptive and diagnostic analysis to identify trends, patterns, and anomalies in business data.
• Develop and maintain dashboards and reports using business intelligence tools (e.g., Tableau, Power BI, Looker).
• Support the creation of ad-hoc analysis and provide actionable insights to business teams.
• Collaborate with senior analysts to understand business requirements and translate them into data analysis tasks.
• Help in validating data accuracy and integrity to ensure reliable reporting.
• Assist in the development of data models and queries for reporting purposes.
• Contribute to the documentation of data sources, methodologies, and findings.
• Learn and apply new analytical techniques and tools under guidance.
• Participate in team meetings and present findings as appropriate.
• Gain exposure to various business functions and understand how data impacts performance.
• Develop a strong understanding of data governance principles and best practices.

• A Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
• Strong analytical and critical thinking skills.
• Proficiency in Microsoft Excel is essential.
• Familiarity with at least one data visualization tool (e.g., Tableau, Power BI) is a plus.
• Basic understanding of SQL for data querying is preferred.
• Excellent attention to detail and commitment to data accuracy.
• Good written and verbal communication skills.
• Ability to work effectively both independently and as part of a team.
• Eagerness to learn and a proactive approach to problem-solving.

Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced, innovative environment? We’re looking for a Data Science Analyst to join our team and help us drive data-informed decisions that shape the future of our business.

What You’ll Do

• Analyze complex datasets to uncover trends, patterns, and actionable insights.
• Develop predictive models and statistical analyses to support business strategies.
• Collaborate with cross-functional teams to understand data needs and deliver solutions.
• Build dashboards and visualizations to communicate findings effectively to stakeholders.
• Stay ahead of data trends and implement best practices in analytics and machine learning.

What We’re Looking For

• Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• Strong programming skills in Python, R, or SQL.
• Experience with data visualization tools (Tableau, Power BI, etc.).
• Solid understanding of machine learning algorithms and statistical methods.
• Excellent problem-solving and communication skills.
• A curious mindset with a passion for exploring data.

Why Join Us?

• Opportunity to work on exciting, high-impact projects.
• Collaborative and supportive work environment.
• Resources for professional development and growth.
• A chance to shape the future of data-driven decision-making.

We're Hiring for Data Science Instructors (100% Teaching Role) (Night Shift Only)

for Full Time & Permanent Remote opportunity!

Vacancy - 5

Minimum 4 years (Full Time) of experience in Teaching/Non Teaching in Data Science is a MUST

Budget - 50-75k Per Month (Gross) (Fixed) + Incentives As per Class Performance

SkillArbitrage is looking for passionate educators to empower aspiring data professionals

What we’re looking for: #Python, #Excel, #SQL, #Tableau, #PowerBI, #ML, and #datavisualization

Substantial Experience in IT (Non Teaching Domain)

Ability to simplify complex concepts with clarity

Strong judgment, creativity, and content development skills

Strong proficiency in English communication

Responsibilities :

Develop and deliver engaging curriculum.

Provide constructive feedback and assess student progress.

Collaborate with students and team members effectively.

If you’re excited to inspire and shape the future of data science, send updated CVs to

You can also directly reach me on (WhatsApp only)