66 Data Analysts jobs in Bhopal
Senior Mining Data Scientist
Posted 14 days ago
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Job Description
- Developing and deploying predictive models for ore grade forecasting, equipment failure, and production optimization.
- Designing and implementing data mining algorithms and statistical models to analyze large, complex datasets from sensors, geological surveys, and operational systems.
- Building and maintaining data pipelines for ingesting, cleaning, and transforming diverse data sources.
- Collaborating with geologists, mining engineers, and operations managers to identify key business challenges and opportunities for data-driven solutions.
- Creating compelling data visualizations and dashboards to communicate insights and recommendations to stakeholders at all levels.
- Evaluating and implementing new data science tools, technologies, and methodologies to enhance analytical capabilities.
- Mentoring junior data scientists and fostering a culture of data literacy and innovation within the organization.
- Conducting exploratory data analysis to identify trends, anomalies, and opportunities for process improvement.
- Staying current with cutting-edge research in data science, machine learning, AI, and their applications in the mining industry.
- Ensuring data governance, security, and ethical considerations are addressed in all analytical projects.
- Validating model performance and iterating on solutions to improve accuracy and business impact.
- Contributing to strategic initiatives for digital transformation within the mining sector.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Mining Engineering, Geology, or a related quantitative field.
- Minimum of 7-10 years of experience in data science, with a significant focus on the mining or natural resources sector.
- Proven expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and data mining techniques.
- Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Strong experience with SQL and NoSQL databases, as well as data warehousing concepts.
- Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Understanding of geological concepts, mining processes, and related operational data.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Excellent problem-solving and analytical skills with a keen attention to detail.
- Exceptional communication and presentation skills, capable of translating complex technical findings into actionable business insights.
- Ability to work independently, manage multiple projects concurrently, and thrive in a remote, collaborative environment.
Graduate Trainee - Data Analysis
Posted 5 days ago
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Job Description
- Recent graduate with a degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Python or R.
- Good understanding of SQL and database concepts.
- Familiarity with data visualization tools is a plus.
- Excellent communication and teamwork skills.
- Eagerness to learn and develop expertise in data analysis.
Graduate Trainee - Data Analysis
Posted 5 days ago
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Job Description
Data Analyst
Posted today
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Job Description
Data Analytics Internship – Skillytixs
Location:
Remote
Duration:
1 Month
Compensation
: Unpaid
Eligibility:
Open to 1st – 4th Year Students and Recent Graduates
About Us:
Skillytixs is an emerging upskilling platform committed to bridging the gap between academic learning and industry expectations. We provide hands-on internship opportunities in Data Analytics, helping students and freshers gain real-world experience through practical projects, guided tasks, and personalized mentoring.
About the Internship:
We're looking for passionate and curious learners who want to dive into the world of Data Analytics. As a Data Analyst Intern, you'll work with real datasets, analyze trends, and build your project portfolio to showcase your skills to future employers.
Your Responsibilities:
- Analyze and clean real-world datasets using Python (pandas, numpy)
- Perform Exploratory Data Analysis (EDA) to uncover hidden insights
- Create visualizations using Matplotlib, Seaborn, Power BI, or Tableau
- Build dashboards and performance reports for business use cases
- Document and communicate findings in a professional format
What You'll Learn:
- End-to-end data analytics process: from raw data to actionable insights
- How to present data-driven decisions effectively
- Gain real project experience to build a job-ready portfolio
- Exposure to industry-relevant tools and techniques
Eligibility Criteria:
- Students (1st to 4th year) and recent graduates from any stream
- Basic knowledge of Python and Excel
- Eagerness to learn and solve real-world problems
- Good communication skills and a proactive mindset
- Ability to work independently and meet deadlines
Perks & Benefits:
- Certificate of Internship Completion
- Letter of Recommendation (Performance-based)
- Top Performer Badge (Top interns)
- LinkedIn Profile Optimization Support
- Opportunity to be featured on Skillytixs' social media
Tools & Technologies You'll Work With:
- Python (pandas, numpy, matplotlib, seaborn)
- Power BI / Tableau
- MySQL / PostgreSQL / SQL Server
- Basics of Machine Learning (optional)
Ready to upskill and kickstart your analytics journey?
- Apply now and join our internship community of future data professionals.
Data Analyst
Posted today
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Job Description
Data Analyst Intern (SQL, Data Cleaning)
Are you ready to dive into the world of
data analytics
and gain real industry exposure?
We are offering a
3-Month Data Analyst Internship
where students and freshers will get an opportunity to work on
5 real-time industry projects
, sharpen their skills in SQL and Data Cleaning, and prepare themselves for a professional analytics career.
Internship Highlights
Mode: Remote | Flexible Timings
Duration: 3 Months
Projects: 5 Industry-based Projects
Stipend: Performance-based (Top Performers Eligible for Rewards & Recognition)
Certificate: Internship Certificate + Letter of Recommendation (based on performance)
Key Responsibilities
As a
Data Analyst Intern
, your day-to-day responsibilities will include:
- Collecting, cleaning, and transforming raw datasets to prepare them for analysis
- Writing and executing
SQL queries
to extract meaningful insights from databases - Performing
data validation
to ensure accuracy, completeness, and consistency - Building interactive dashboards and reports using
Excel / Power BI / Tableau - Supporting the analytics team in
identifying business trends and patterns - Documenting project work and presenting findings in a clear, structured format
- Collaborating with mentors on
5 live industry projects
, covering real-world scenarios - Enhancing problem-solving and critical thinking skills through data-driven tasks
What You Will Learn
- End-to-end data cleaning and preprocessing techniques
- Database querying with SQL for real-world analytics
- Handling large datasets effectively
- Practical dashboard creation & visualization
- How to turn raw numbers into actionable business insights
This internship is a great opportunity for
students and freshers
who want to build a strong foundation in
Data Analytics, SQL, and Data Cleaning
while gaining
hands-on project experience
.
Apply now to take the first step toward a successful career as a
Data Analyst
Data Analyst
Posted 1 day ago
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Job Description
Company Description
At WebBuddy, we are not just a web design and development agency but a trusted partner in shaping your online presence. Our team of expert developers, creative designers, and strategic thinkers has been transforming ideas into digital realities for clients across the globe. With hundreds of successful projects and delighted clients in the US, UK, Canada, and Australia, we pride ourselves on delivering top-notch, customized web solutions that drive business growth. We continuously innovate and adapt to the latest trends and technologies, ensuring our clients remain competitive in their digital endeavors. WebBuddy is a proud winner of the TechBehemoths Awards as a Top Artificial Intelligence Company.
Role Description
This is a full-time, on-site role for a Data Analyst located in Gurugram. The Data Analyst will be responsible for analyzing large data sets, interpreting data trends, and making data-driven recommendations. The role includes conducting statistical analysis, developing data models, and effectively communicating insights to stakeholders. The Data Analyst will collaborate with cross-functional teams to support business decision-making and strategy development through data insights.
Qualifications
- Analytical Skills and Data Analytics experience
- Proficiency in Statistics and Data Modeling
- Excellent Communication skills
- Bachelor's degree in Mathematics, Statistics, Computer Science, Information Systems, or related field
- Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus
- Ability to work collaboratively within a team environment
- Experience in the technology or web development industry is a plus
Data Analyst
Posted 1 day ago
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Job Description
Company Description
We suggest you enter details here.
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
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Data Analyst
Posted 1 day ago
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Job Description
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.
Data Analyst
Posted 3 days ago
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Job Description
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
Data Analyst – Training
Posted today
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Job Description
We're looking for a Data Analyst to join our Training & Development team, focused on improving learner success and program outcomes through data-driven insights.
Responsibilities:
- Analyse learner data from LMS, assessments, and feedback to measure training effectiveness.
- Track KPIs such as student engagement, completion, retention, and skill improvement.
- Build dashboards and reports for academic & training teams to drive decisions.
- Identify patterns in learner performance and recommend interventions.
- Collaborate with faculty and curriculum teams to enhance content delivery using data insights.
Requirements:
- Bachelor's/Master's in Data Analytics, Statistics, Computer Science, or EdTech.
- Proficiency in SQL, Excel, and BI tools (Power BI, Tableau, Google Data Studio).
- Strong analytical and problem-solving skills with knowledge of Python/R/R preferred.
- Prior experience in EdTech, Training, or Learning & Development analytics is a plus.
Why Join Us?
Work at the intersection of data and education, shaping learner journeys and driving training excellence. Grow your career in learning analytics with a dynamic and collaborative team.
Job Types: Full-time, Permanent
Pay: ₹15, ₹35,000.00 per month
Benefits:
- Cell phone reimbursement
- Paid sick time
- Provident Fund
Experience:
- Indusrty: 4 years (Required)
Location:
- Bhopal, Madhya Pradesh (Required)
Work Location: In person