351 Data Analyst jobs in Noida

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

We are seeking an experienced Data Scientist to join our team.

• A strong foundation in Python , Deep Learning Frameworks like TensorFlow or PyTorch, is essential for this role.
• The ideal candidate will have advanced SQL skills for data manipulation and analysis, as well as a solid understanding of Machine Learning Algorithms , model evaluation, and deployment.

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 or email).

You may email your most recent Resume' at

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.