508 Data Mining jobs in Mumbai
Data Mining Analyst
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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
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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
Enterprise Miner – data mining co...
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• Ability to think abstractly and deal well with ambiguous/undefined problems.
• Ability to effectively articulate technical challenges and solutions.
• Experience taking a leading role in defining models for complex data lakes and making
• information useful at various levels, from operations to senior stakeholders.
Strong object-oriented design and coding skills.
Remote Data Scientist - Mining Operations
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Responsibilities:
- Design, develop, and implement statistical models and machine learning algorithms to analyze large-scale mining datasets, covering areas such as ore body estimation, production forecasting, equipment performance, and environmental impact.
- Extract, clean, and transform data from diverse sources, including geological surveys, sensor data from machinery, operational logs, and financial reports.
- Develop predictive models to forecast equipment failures, optimize maintenance schedules, and improve resource allocation.
- Analyze geological data to identify patterns, anomalies, and potential areas for resource discovery or improved extraction strategies.
- Create data visualizations and dashboards to communicate complex findings and insights to stakeholders, including geologists, engineers, and management, through virtual presentations.
- Collaborate with domain experts (geologists, mining engineers, metallurgists) to understand their challenges and translate them into data science problems.
- Develop and implement strategies for data quality assurance and data governance within mining operations.
- Evaluate and select appropriate data mining techniques and tools for specific mining-related problems.
- Stay current with the latest advancements in data science, machine learning, and their applications in the mining industry.
- Contribute to the development of a data-driven culture within the organization.
- Mentor junior data analysts and contribute to knowledge sharing within the data science team.
- Develop and refine models for operational efficiency, supply chain optimization, and cost reduction specific to mining environments.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Geostatistics, Mining Engineering, or a related quantitative field.
- Minimum of 5 years of professional experience as a Data Scientist, with a strong focus on applying statistical and machine learning techniques to real-world problems.
- Proven experience working with large, complex datasets and experience in the mining or natural resources sector is highly desirable.
- Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Strong knowledge of statistical modeling, machine learning algorithms (regression, classification, clustering, deep learning), and their application.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
- Familiarity with database technologies (SQL, NoSQL) and big data platforms (e.g., Hadoop, Spark).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to explain technical concepts to non-technical audiences virtually.
- Demonstrated ability to work independently and manage projects effectively in a remote setting.
Data analytics mentor
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Job Title: Data Analytics MentorJob Type: Full-TimeLocation: Remote (India)Experience Required: 6+ YearsJob DescriptionWe are hiring a full-time Data Analytics Mentor to join our team in a remote capacity. This role is focused on delivering high-quality training, mentorship, and career guidance to aspiring data analysts. The ideal candidate will have strong industry experience, excellent communication skills, and a passion for helping learners become job-ready through hands-on support and real-world insights.Key ResponsibilitiesDeliver live, interactive online sessions covering core data analytics topics such as data wrangling, data visualization, statistical analysis, Excel, SQL, and Python.Guide learners through practical assignments and capstone projects to strengthen their problem-solving skills and portfolio.Provide personalized feedback, career mentorship, and interview preparation assistance.Collaborate with the internal team to improve curriculum and ensure training content remains current and relevant to industry needs.Evaluate learner performance through project reviews and one-on-one guidance.Required QualificationsA minimum of 6 years of experience in data analytics, business intelligence, or a related role.Proficiency in SQL, Excel, Python (Pandas, Num Py), and data visualization tools such as Tableau, Power BI, or Google Data Studio.Strong understanding of data analysis techniques, data storytelling, and reporting methods.Experience in mentoring, training, or teaching in a professional or academic setting is preferred.Excellent communication and interpersonal skills.Relevant certifications (e.g., Microsoft Data Analyst Associate, Tableau Desktop Specialist) will be an added advantage.Additional InformationThis is a remote, full-time employment opportunity.Compensation will be based on experience and aligned with industry standards.Candidates must be legally authorized to work in India.
Data analytics mentor
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Job Title: Data Analytics MentorJob Type: Full-TimeLocation: Remote (India)Experience Required: 6+ YearsJob DescriptionWe are hiring a full-time Data Analytics Mentor to join our team in a remote capacity. This role is focused on delivering high-quality training, mentorship, and career guidance to aspiring data analysts. The ideal candidate will have strong industry experience, excellent communication skills, and a passion for helping learners become job-ready through hands-on support and real-world insights.Key ResponsibilitiesDeliver live, interactive online sessions covering core data analytics topics such as data wrangling, data visualization, statistical analysis, Excel, SQL, and Python.Guide learners through practical assignments and capstone projects to strengthen their problem-solving skills and portfolio.Provide personalized feedback, career mentorship, and interview preparation assistance.Collaborate with the internal team to improve curriculum and ensure training content remains current and relevant to industry needs.Evaluate learner performance through project reviews and one-on-one guidance.Required QualificationsA minimum of 6 years of experience in data analytics, business intelligence, or a related role.Proficiency in SQL, Excel, Python (Pandas, Num Py), and data visualization tools such as Tableau, Power BI, or Google Data Studio.Strong understanding of data analysis techniques, data storytelling, and reporting methods.Experience in mentoring, training, or teaching in a professional or academic setting is preferred.Excellent communication and interpersonal skills.Relevant certifications (e.g., Microsoft Data Analyst Associate, Tableau Desktop Specialist) will be an added advantage.Additional InformationThis is a remote, full-time employment opportunity.Compensation will be based on experience and aligned with industry standards.Candidates must be legally authorized to work in India.
Data Analytics Mentor
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Job Title: Data Analytics Mentor
Job Type: Full-Time
Location: Remote (India)
Experience Required: 6+ Years
Job Description
We are hiring a full-time Data Analytics Mentor to join our team in a remote capacity. This role is focused on delivering high-quality training, mentorship, and career guidance to aspiring data analysts. The ideal candidate will have strong industry experience, excellent communication skills, and a passion for helping learners become job-ready through hands-on support and real-world insights.
Key Responsibilities
- Deliver live, interactive online sessions covering core data analytics topics such as data wrangling, data visualization, statistical analysis, Excel, SQL, and Python.
- Guide learners through practical assignments and capstone projects to strengthen their problem-solving skills and portfolio.
- Provide personalized feedback, career mentorship, and interview preparation assistance.
- Collaborate with the internal team to improve curriculum and ensure training content remains current and relevant to industry needs.
- Evaluate learner performance through project reviews and one-on-one guidance.
Required Qualifications
- A minimum of 6 years of experience in data analytics, business intelligence, or a related role.
- Proficiency in SQL , Excel , Python (Pandas, NumPy), and data visualization tools such as Tableau , Power BI , or Google Data Studio .
- Strong understanding of data analysis techniques, data storytelling, and reporting methods.
- Experience in mentoring, training, or teaching in a professional or academic setting is preferred.
- Excellent communication and interpersonal skills.
- Relevant certifications (e.g., Microsoft Data Analyst Associate, Tableau Desktop Specialist) will be an added advantage.
Additional Information
- This is a remote, full-time employment opportunity.
- Compensation will be based on experience and aligned with industry standards.
- Candidates must be legally authorized to work in India.
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Data analytics/Bigdata
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• High-level understanding of Public Cloud offerings like AWS/cloud
• Working knowledge of Python, including Pandas libraries to work with larger data sets
• Working knowledge of REST API, JSON
• Experience with BigData/Hadoop/Spark
• Experience in NoSQL data stores development, like Splunk, Kafka/bigdata/spark/Hadoop
Data Analytics Consultant
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Why You'll Love Working Here
At Eide Bailly we believe respect is how to treat everyone, not just those you want to impress. Our
culture focuses on collaboration to achieve career growth. Innovation is highly encouraged, which is
where programs like our EB Xchange originate. This program allows interested tax and audit employees
to complete a rotation into a specialty area. We promote happy employees by making work/life balance
a priority along with being actively involved in our communities. Our dedication to service can be seen
through the Firm's decision to match charitable donations made by employees, as well as providing
opportunities to volunteer throughout the year. Most importantly, we like to have fun! We offer a
professional and fun work environment with frequent lunch and learns, socials, contests, outings and
other events.
Senior Data Analytics Consultant
Typical Day in the Life
A typical day as a Sr Data Analytics Consultant may include the following:
Who You Are
oTechnologies such as: Snowflake, Databricks, Azure, AWS, and NetSuite.
oPython programming
oModeling data using Kimball Method (Star Schema)
oAnalytical and visualization tools such as PowerBI or Tableau
oCloud technologies and services
Data Analytics & BI
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• Hands-on experience in Quantitative & Qualitative and Machine Learning Algorithms
• Working knowledge on computer languages like Python, Pyspark, Google Analytics, etc.
• Strong interpersonal skills and evidence of working across teams and geographies to produce timely and accurate output.
• Strong communication and influencing skills required to be successful in this role