94 Data Analyst jobs in Indore

Company Description

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Role Description

This is a full-time on-site/Remote role for a Data Analyst located in New Delhi. The Data Analyst will be responsible for collecting, analyzing, and interpreting large datasets to identify trends and patterns. Day-to-day tasks include creating data models, generating reports, and providing actionable insights to support business decision-making. Strong collaboration and communication skills are essential for working with various departments to understand their data needs and deliver accurate analytical solutions.

Qualifications

• Strong Analytical Skills and Data Analytics experience
• Proficiency in Statistics and Data Modeling
• Excellent Communication skills for effectively conveying insights
• Proficiency in analytical software such as SQL, R, or Python
• Bachelor's degree in Data Science, Statistics, Mathematics, or a related field
• Experience in the industry is a plus
• Upto 12 LPA

About Adeptmind:

Our platform helps online retailers bridge the gap between online and offline conversion rates. A

bad search means a bad customer experience. Our technology uses deep learning and natural

language processing to eliminate the “no results found” problem and show your customers what

they want when they want it. Our results speak for themselves. No fancy jargon, just 100%

accuracy every time.

Search should be intuitive and intelligent, rather than a barrier for online stores and

customers. We have the tools. Let’s make it happen.

Company Link-

Position Overview:

We’re seeking a data-driven professional with 2+ years of experience who excels at transforming complex data into clear, actionable insights. In this role, you’ll collaborate closely with engineering and cross-functional teams to design and deliver scalable analytics solutions.

Key Responsibilities:

• Analyze large and complex datasets to uncover insights that drive business strategy and operational efficiency.
• Build and optimize queries, dashboards, and reports using modern analytics tools.
• Collaborate with engineering and product teams to design data models and ensure data accuracy and consistency.
• Translate technical findings into clear, actionable recommendations for non-technical stakeholders.
• Stay current with emerging analytics tools, techniques, and best practices.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or a related field.
• 4+ years of professional experience in data analysis, business intelligence, or analytics.
• Strong proficiency in SQL and experience building complex queries.
• Strong proficiency in GA4, GTM, and Google Search Console
• Hands-on experience with Python for data analysis (Pandas, NumPy, etc.).
• Solid understanding of data visualization tools (e.g., Power BI, Tableau, Looker).
• Familiarity with statistical analysis, data warehousing (ie Snowflake), and ETL processes.
• Excellent communication skills and the ability to present data-driven insights clearly.
• Comfortable working independently in a remote environment and collaborating across global teams.
• Knowledge of SEO tools e.g SEMrush
• This role requires working in EST hours (6:30 PM – 3:30 AM IST) to ensure smooth collaboration with our Global team.

Why Join Us:

• Work on impactful projects that directly influence business strategy.
• Collaborate with a dynamic global team passionate about data and innovation.
• Opportunity to grow in a fast-paced, learning-oriented environment.

Company Description

Unotech Global is dedicated to solving real-world problems through innovative AI-driven solutions. Our company specializes in Artificial Intelligence applications across various fields, including IoT, E-Commerce, Digital Media, Business Intelligence, Marketing & Advertising, and Customer Service. We serve clients ranging from businesses to governments worldwide.

Job Title: Data Analyst ( E-Commerce)

Location: (Remote)

Type: Contract

Experience: 4-6 years

About the Role

As an eCommerce Data Analyst , you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business. This role offers growth potential, the chance to work with a driven and collaborative team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the center of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Key Responsibilities

• Data Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.
• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)

Required Skills & Qualifications

• Educational Background: Bachelor’s degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 2+ years of experience in data analysis within eCommerce (4-6 years of overall experience)
• Technical Skills: Proficiency in data analysis tools and software:
• SQL
• Advanced Excel
• Tableau or similar 
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices. 
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.

Nice to have: 

• Experience with eCommerce platforms (e.g., Magento, Shopify, BigCommerce)
• Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous. 

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

What We Offer

• Remote work flexibility and a strong data-driven culture
• Competitive salary and performance incentives

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

• Assist in collecting and cleaning large datasets from various sources.
• Perform basic statistical analysis and data mining to identify trends and patterns.
• Generate reports and dashboards to visualize data and communicate findings to stakeholders.
• Support the development and implementation of data models and algorithms.
• Collaborate with cross-functional teams to understand their data needs and provide analytical support.
• Ensure data accuracy and integrity through regular checks and validation.
• Stay updated with the latest trends and technologies in data analysis and business intelligence.
• Contribute to the documentation of data processes and methodologies.
• Troubleshoot data-related issues and provide solutions.
• Participate in team meetings and brainstorming sessions.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis techniques.
• Proficiency in SQL for data extraction and manipulation.
• Familiarity with data visualization tools such as Tableau, Power BI, or similar.
• Basic knowledge of programming languages like Python or R is a plus.
• Excellent problem-solving and analytical skills.
• Strong attention to detail and accuracy.
• Good communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Eagerness to learn and adapt to new technologies.

• Assist in collecting, cleaning, and organizing large datasets.
• Perform data analysis and identify trends, patterns, and anomalies.
• Support the development of reports, dashboards, and data visualizations.
• Learn and apply statistical analysis techniques.
• Collaborate with senior analysts on data-driven projects.
• Assist in testing and validating data models.
• Maintain data integrity and accuracy throughout the analysis process.
• Document analytical processes and findings.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis principles.
• Familiarity with SQL for data querying.
• Basic programming skills in Python or R is a plus.
• Experience with data visualization tools (e.g., Tableau, Power BI) is advantageous.
• Excellent analytical and problem-solving abilities.
• Strong attention to detail and commitment to data accuracy.
• Good communication and teamwork skills.
• Eagerness to learn and adapt to new technologies.

• Collect and interpret data from various sources.
• Analyze complex datasets to identify trends, patterns, and correlations.
• Develop and implement data collection systems and data analytics strategies.
• Maintain databases and ensure data integrity.
• Create reports and visualizations to present findings to stakeholders.
• Assist in identifying, analyzing, and interpreting trends or patterns in complex data sets.
• Work with management to prioritize business and information needs.
• Filter and clean data by reviewing computer reports, printouts, and performance indicators.
• Locate and define new process improvement opportunities.
• Identify and interpret trends or patterns in complex data sets.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel.
• Familiarity with SQL is highly desirable.
• Basic knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent written and verbal communication skills.
• Ability to work independently and as part of a team.
• Eagerness to learn and adapt in a fast-paced environment.
• Strong attention to detail and accuracy.

• Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and maintain reports, dashboards, and visualizations to communicate findings effectively to stakeholders.
• Support senior analysts in developing predictive models and performing statistical analysis.
• Collaborate with different departments to understand their data needs and provide actionable insights.
• Ensure data accuracy and integrity throughout the analysis process.
• Stay updated with the latest data analysis techniques and tools.
• Participate in team meetings, contribute to project planning, and present findings.
• Help in the design and implementation of data quality checks and validation processes.
• Document analytical processes and methodologies for future reference.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and methods.
• Proficiency in SQL for data extraction and manipulation.
• Familiarity with at least one data visualization tool (e.g., Tableau, Power BI, QlikView).
• Basic knowledge of programming languages such as Python or R is a plus.
• Excellent analytical and problem-solving skills.
• Strong communication and presentation skills, with the ability to explain complex data insights to non-technical audiences.
• Attention to detail and a commitment to producing high-quality work.
• Eagerness to learn and adapt in a fast-paced environment.
• Ability to work both independently and as part of a collaborative team.

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
• Proficiency in SQL for data extraction and manipulation.
• Familiarity with data visualization tools like Tableau, Power BI, or similar.
• Basic understanding of statistical concepts and methods.
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication skills.
• Ability to work independently and as part of a team.
• Eagerness to learn and adapt to new technologies.