Explore the dynamic field of data mining, a crucial area within data science and analytics. Data mining jobs involve extracting valuable insights and patterns from large datasets, aiding businesses in making informed decisions. Professionals in this domain use various techniques, including machine learning, statistical analysis, and database systems, to uncover hidden trends and predict future outcomes. These roles are vital for organizations seeking to leverage data for competitive advantage and innovation.15 Data Mining jobs in India
Data Mining
Posted today
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Job Description
- Reviewing and analyzing data to uncover patterns and trends in behavior or public preferences
- Recommending improvements to business processes based on findings from data mining projects
- Gathering and cleaning data from multiple sources, including surveys, interviews, and public records
- Identifying opportunities for new products or services based on market research trends
- Developing models using statistics, mathematics, and computer science principles to extract information from large data sets
- Customizing reports to stakeholders based on findings from data analysis projects
- Identifying new sources of data to explore based on findings from previous projects
- Recommending changes to existing business processes to improve efficiency
- Role:_Data Analyst
- Salary:_ Not Disclosed by Recruiter
- Industry:_Electronic Components / Semiconductors
- Functional Area:_Data Science & Analytics
- Role Category:_Business Intelligence & Analytics
- Employment Type:_Full Time, Permanent
- Key Skills
- Computer ScienceData AnalysisData MiningMathematicsStatisticsMarket Research
Education
- UG:_Any Graduate
**Company Profile**:
Zodiac HR Consultants (I) Pvt Ltd.
- Electrical Product Manufacturing
- Recruiter Name:_Asha
- Contact Company:_Zodiac HR Consultants (I) Pvt Ltd.
- Telephone:_9833142611
Data Mining
Posted today
Job Viewed
Job Description
- **Data Mining**:
- Identify and collect relevant data from various sources to build prospect lists.
- Conduct in-depth research to identify potential markets, industries, and companies that align with the company's target audience.
- Maintain an organized database of leads and prospects for effective follow-up.
- Keep lead data organized and up-to-date in CRM systems to ensure the sales team has accurate information for follow-up.
- **Cold Calling**:
- Conduct outreach to prospective clients, initiating conversations to identify their needs and introduce our solutions.
- Establish rapport and build strong relationships with potential customers.
- Qualify leads and set up meetings or follow-up calls for further engagement.
- Track and report campaign performance to improve reach and engagement.
- Collaborate with sales and marketing to define buyer personas, understanding pain points, needs, and preferred communication channels for each persona.
- **LinkedIn Outreach**:
- Leverage LinkedIn to identify, connect, and engage with potential clients.
- Use personalized messaging to build connections and generate leads.
- Monitor LinkedIn campaign performance and optimize outreach strategies.
**Required Skills and Qualifications**:
- 1-2 years of experience in business development, lead generation, or a related field.
- Proven track record of lead generation.
- Strong analytical skills to interpret data and develop actionable insights.
- Excellent verbal and written communication skills.
- Ability to work independently and as part of a team.
- Proficiency with CRM systems and marketing automation tools is a plus.
**Job Types**: Full-time, Permanent
Pay: ₹15,000.00 - ₹25,000.00 per month
**Benefits**:
- Health insurance
- Paid sick time
- Paid time off
- Provident Fund
Schedule:
- Day shift
- Monday to Friday
Supplemental Pay:
- Performance bonus
- Yearly bonus
**Experience**:
- Data mining: 1 year (required)
Work Location: In person
Data Mining Analyst
Posted today
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Job Description
improve overall data quality for Service Business Enterprise systems.
bring expertise in Excel, and we will train you on tools to manipulate large data sets.
analyze, manipulate, and validate large data sets pulled from SAP CRM and ECC applications according to defined business rules and procedures.
Work under the direction of our Data Quality Program leads
to support the Data Strategy program within the Services Global Operations team.
focus on details, organize and follow thru
Candidate should have:
Strong communication skills, ability to work independently and as a team member in a global setting.
5+ years of data manipulation and data mining experience
Associates, Bachelors or equivalent education/experience
Strong working knowledge of Excel, PivotTables, and Macros
SAP ECC/CRM/HANA experience a plus
Strong analytical and logical skills
Data Mining Analyst
Posted today
Job Viewed
Job Description
improve overall data quality for Service Business Enterprise systems.
bring expertise in Excel, and we will train you on tools to manipulate large data sets.
analyze, manipulate, and validate large data sets pulled from SAP CRM and ECC applications according to defined business rules and procedures.
Work under the direction of our Data Quality Program leads
to support the Data Strategy program within the Services Global Operations team.
focus on details, organize and follow thru
Candidate should have:
Strong communication skills, ability to work independently and as a team member in a global setting.
5+ years of data manipulation and data mining experience
Associates, Bachelors or equivalent education/experience
Strong working knowledge of Excel, PivotTables, and Macros
SAP ECC/CRM/HANA experience a plus
Strong analytical and logical skills
Data Mining Analyst
Posted today
Job Viewed
Job Description
improve overall data quality for Service Business Enterprise systems.
bring expertise in Excel, and we will train you on tools to manipulate large data sets.
analyze, manipulate, and validate large data sets pulled from SAP CRM and ECC applications according to defined business rules and procedures.
Work under the direction of our Data Quality Program leads
to support the Data Strategy program within the Services Global Operations team.
focus on details, organize and follow thru
Candidate should have:
Strong communication skills, ability to work independently and as a team member in a global setting.
5+ years of data manipulation and data mining experience
Associates, Bachelors or equivalent education/experience
Strong working knowledge of Excel, PivotTables, and Macros
SAP ECC/CRM/HANA experience a plus
Strong analytical and logical skills
Data Mining Analyst
Posted today
Job Viewed
Job Description
improve overall data quality for Service Business Enterprise systems.
bring expertise in Excel, and we will train you on tools to manipulate large data sets.
analyze, manipulate, and validate large data sets pulled from SAP CRM and ECC applications according to defined business rules and procedures.
Work under the direction of our Data Quality Program leads
to support the Data Strategy program within the Services Global Operations team.
focus on details, organize and follow thru
Candidate should have:
Strong communication skills, ability to work independently and as a team member in a global setting.
5+ years of data manipulation and data mining experience
Associates, Bachelors or equivalent education/experience
Strong working knowledge of Excel, PivotTables, and Macros
SAP ECC/CRM/HANA experience a plus
Strong analytical and logical skills
Data Mining & Research Specialist
Posted today
Job Viewed
Job Description
Our Story ISMG is a tech- enabled, global intelligence firm specializing in cybersecurity journalism, technology, and artificial intelligence.
We deliver a comprehensive portfolio of content, data analytics, training and market intelligence to support cybersecurity, operational technology (OT), fraud prevention, and risk management industries.
With 10+ brands, 38 digital media properties, and over 400 premier events annually—ISMG connects a network of over 2M executives, decision-makers, and innovators with the insights and opportunities they need to stay ahead.
The Opportunity ISMG is currently seeking a Data Mining & Research Specialist to join our team!
In this role, you will contribute to a variety of critical data projects, conducting thorough research on various aspects of the ISMG subscriber base.
By consistently updating data entry points, your work will ensure all relevant information is accurate and current.
Responsibilities Executing research projects, involving standardized and customized data sets, catering to ISMG's customer base and internal business needs. Contributing to the management of large data sets, ensuring accuracy, integrity, and timely delivery of projects. Collaborating with internal stakeholders to provide regular progress updates, proactively identifying challenges or potential roadblocks and addressing them promptly. Requirements & Preferred Experience Bachelor's Degree in Business, Marketing, Statistics, or a related field is preferred.
At least one year of professional experience in Market Research fields.
Advanced expertise in Excel with the ability to handle complex data analysis tasks.
Proficiency in Microsoft Word and PowerPoint, with a strong ability to learn and adapt to other data and marketing programs quickly.
Data manipulation and/or quantitative research experience is preferred. In lieu of experience, must have a strong desire to learn.
Experience with hierarchical databases and exposure to data software packages is preferred.
Knowledge of Power BI is a major advantage.
Exceptional communication, both written and verbal, along with strong presentation abilities.
Excellent time management and project management skills.
Additional Details: Location: on-site at our Mumbai office. Mandatory in-office presence required Monday-Friday during standard hours of operation. Powered by JazzHR
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Data Engineer+ Instructor- Data Mining
Posted today
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Job Description
About the Role
Overview:
Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India’s first impact university, we are committed to revolutionizing learning, empowering students, and shaping the future of the tech industry. Backed by renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society.
We are currently looking for a Data Engineer + Instructor– Data Mining to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching/mentoring students in core data science and engineering topics.
Key Responsibilities:
● Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", “BigData” and “Data Analytics” courses, covering the full syllabus from foundational concepts to advanced techniques.
● Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering.
● Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering, and Anomaly detection.
● Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software.
● Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs).
● Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle).
● Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge.
● Contribute to the academic and research environment of the department and the university.
Required Qualifications:
● A Ph.D. (or a Master's degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field.
● Demonstrable expertise in the core concepts of data engineering and machine learning as outlined in the syllabus.
● Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn).
● Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging.
● Excellent communication and interpersonal skills.
Preferred Qualifications:
● A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals.
● Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role.
● Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch).
● Experience in mentoring student teams for data science competitions or hackathons.
Perks & Benefits:
● Competitive salary packages aligned with industry standards.
● Access to state-of-the-art labs and classroom facilities.
Data Engineer+ Instructor- Data Mining
Posted today
Job Viewed
Job Description
Overview:
Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India’s first impact university, we are committed to revolutionizing learning, empowering students, and shaping the future of the tech industry. Backed by renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society.
We are currently looking for a Data Engineer + Instructor– Data Mining to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching/mentoring students in core data science and engineering topics.
Key Responsibilities:
● Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", “BigData” and “Data Analytics” courses, covering the full syllabus from foundational concepts to advanced techniques.
● Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering.
● Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering, and Anomaly detection.
● Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software.
● Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs).
● Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle).
● Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge.
● Contribute to the academic and research environment of the department and the university.
Required Qualifications:
● A Ph.D. (or a Master's degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field.
● Demonstrable expertise in the core concepts of data engineering and machine learning as outlined in the syllabus.
● Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn).
● Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging.
● Excellent communication and interpersonal skills.
Preferred Qualifications:
● A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals.
● Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role.
● Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch).
● Experience in mentoring student teams for data science competitions or hackathons.
Perks & Benefits:
● Competitive salary packages aligned with industry standards.
● Access to state-of-the-art labs and classroom facilities.
Data Engineer+ Instructor- Data Mining
Posted today
Job Viewed
Job Description
About the Role
Overview:
Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India’s first impact university, we are committed to revolutionizing learning, empowering students, and shaping the future of the tech industry. Backed by renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society.
We are currently looking for a Data Engineer + Instructor– Data Mining to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching/mentoring students in core data science and engineering topics.
Key Responsibilities:
● Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", “BigData” and “Data Analytics” courses, covering the full syllabus from foundational concepts to advanced techniques.
● Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering.
● Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering, and Anomaly detection.
● Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software.
● Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs).
● Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle).
● Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge.
● Contribute to the academic and research environment of the department and the university.
Required Qualifications:
● A Ph.D. (or a Master's degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field.
● Demonstrable expertise in the core concepts of data engineering and machine learning as outlined in the syllabus.
● Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn).
● Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging.
● Excellent communication and interpersonal skills.
Preferred Qualifications:
● A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals.
● Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role.
● Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch).
● Experience in mentoring student teams for data science competitions or hackathons.
Perks & Benefits:
● Competitive salary packages aligned with industry standards.
● Access to state-of-the-art labs and classroom facilities.