55 Data Analysts jobs in Indore

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.

• Assist in data collection and cleaning processes.
• Perform data analysis and statistical modeling.
• Identify trends, patterns, and insights from data.
• Create reports and visualizations for data presentation.
• Collaborate with senior analysts on data-driven projects.
• Learn and apply data analysis tools and techniques.
• Support database management tasks.
• Contribute to the development of analytical solutions.

• Recent graduate with a Bachelor's or Master's in a quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in MS Excel and statistical software.
• Basic knowledge of SQL, Python, or R is a plus.
• Excellent communication and presentation skills.
• Eagerness to learn and develop in data analysis.

• 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.

About the Role

We are seeking a detail-oriented and analytical Data Analyst with strong proficiency in SQL and Python to join our growing team. The ideal candidate will have experience in data wrangling, building insightful reports, and supporting data-driven decision-making across business functions.

Years of Experience - 3 - 5 years

Key Responsibilities

• Collect, clean, and transform structured and unstructured datasets from multiple sources.
• Write complex SQL queries to extract, aggregate, and analyze large volumes of data.
• Use Python for data manipulation, automation, and exploratory data analysis (EDA).
• Develop dashboards, reports, and visualizations to present insights to stakeholders.
• Collaborate with cross-functional teams (Product, Business, Engineering) to identify data requirements and KPIs.
• Support data validation, quality checks, and governance practices.
• Provide actionable insights and recommendations based on data analysis.

Required Skills & Qualifications

• Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Analyst or similar role.
• Strong hands-on expertise in SQL (query optimization, joins, CTEs, window functions).
• Knowledge/Experience in Python (Pandas, NumPy, Matplotlib/Seaborn for analysis & visualization).
• Experience working with relational databases (MySQL, PostgreSQL, SQL Server, etc.).
• Ability to translate business needs into technical requirements and analytical solutions.
• Strong problem-solving skills, attention to detail, and communication abilities.

Good to Have (Preferred Skills)

• Experience with BI tools (Power BI, Tableau, Looker, etc.).
• Exposure to ETL processes and data pipelines.
• Knowledge of statistics and basic machine learning concepts.

Company Description

Sambodhi Research & Communications is a consultancy that focuses on creating high-impact knowledge to drive accountability in the public domain. We offer project management, monitoring & evaluation, and research solutions to various stakeholders including governments, aid agencies, and philanthropic foundations. Our work spans across sectors such as public health, nutrition, sanitation, renewable energy, and livelihoods. We also contribute to building a community of evaluators in South Asia through initiatives like the Community of Evaluators-South Asia and the South Asian Journal for Evaluation in Practice.

Primary Responsibilities

• Conducting comprehensive market research to gather relevant data.
• Analyzing quantitative and qualitative data to identify trends and insights.
• Preparing detailed reports that summarize findings and provide actionable recommendations.
• Collaborating with team members to design research methodologies tailored to specific projects.
• Presenting research findings to stakeholders in a clear and concise manner.

Skills and Qualifications

• Strong analytical skills with proficiency in statistical software and tools.
• Excellent written and verbal communication skills for report writing and presentations.
• Ability to work independently as well as in a team-oriented environment.
• Familiarity with research methodologies and data collection techniques.
• A degree in a relevant field such as social sciences, statistics, or business is often preferred.