Data Mining Jobs

Key ResponsibilitiesDesign, develop, and deliver training programs in Data Science, Machine Learning, Artificial Intelligence, and related technologies.Conduct instructor-led classroom, virtual, and blended learning sessions.Create training materials, presentations, assignments, assessments, and project work.Teach programming concepts using Python, R, SQL, and other relevant tools.Train learners on data analysis, data visualization, statistical modeling, and predictive analytics.Guide students through real-world case studies, capstone projects, and practical exercises.Evaluate learner progress and provide constructive feedback and mentoring.Stay updated with emerging trends, tools, and best practices in data science and AI.Collaborate with academic, corporate, or training teams to improve course content and delivery methods.Support learners with career guidance, interview preparation, and portfolio development.

We are looking for a Data Analyst to join our team in Hyderabad. In this role, you will be responsible for collecting, analyzing, and interpreting data to help the organization make better decisions.**Key Responsibilities:**- **Data Collection:** Gather relevant data from various sources to ensure you have the necessary information for analysis.- **Data Cleaning:** Identify and correct errors in the data to maintain accuracy and reliability.- **Data Analysis:** Use statistical methods and tools to analyze data, uncovering trends, patterns, and insights that can support business strategies.- **Reporting:** Prepare detailed reports and visualizations to communicate findings effectively to stakeholders, ensuring they understand complex data.- **Collaboration:** Work with different teams to understand their data needs and provide analytical support to improve their operations and decision-making.- **Continuous Learning:** Stay updated with the latest data analysis tools and techniques to enhance your skills and contribute effectively to the team.**Required Skills and Expectations:**Candidates should possess strong analytical skills with a basic understanding of data analysis tools such as Excel, SQL, or Python. Familiarity with data visualization tools like Tableau or Power BI is a plus. Good problem-solving abilities and attention to detail are essential, as well as effective communication skills to present findings clearly. We welcome applicants with varying experience levels, including fresh graduates eager to learn and grow in the field of data analysis.

As a Data Analyst, you will play a crucial role in interpreting data and turning it into actionable insights for the organization. This full-time position allows you to work from home while collaborating with various teams.**Key Responsibilities:**- **Data Collection:** Gather data from multiple sources, ensuring its accuracy and relevance for analysis. This is the foundation for any insights you will generate.- **Data Cleaning:** Prepare and clean the collected data to eliminate inaccuracies or inconsistencies, enabling reliable analysis.- **Data Analysis:** Use statistical tools to analyze data and identify trends, helping to inform business decisions.- **Reporting Findings:** Create clear and concise reports that present your findings. Communicate insights effectively to team members and stakeholders.- **Collaborating with Teams:** Work closely with other departments to understand their data needs and provide support through data-driven solutions.**Required Skills and Expectations:**You should have a background in one of the following areas: B.A, B.Arch, B.C.A, B.B.A, B.Com, B.Sc, or B.E. Familiarity with data analysis tools like Excel, SQL, or Python is beneficial. Strong analytical skills and attention to detail are crucial for success in this role.Additionally, you must demonstrate good communication skills, both written and verbal, allowing you to convey complex information clearly. A proactive approach and the ability to work independently are essential, as you will manage your tasks remotely. Prior experience in data analysis is a plus but not mandatory for candidates with enthusiasm and a willingness to learn.

Job Title: Business Development Executive (International Process)Location: Ashram Road, AhmedabadShift Timing: 2 PM

We are looking for a Data Entry Operator to join our team in Kota. The ideal candidate will have 1 to 5 years of experience and be able to work full-time in the office.**Key Responsibilities:**- **Data Entry:** Accurately input information into databases or systems, ensuring that all entries are correct and up to date to maintain data integrity.- **Data Verification:** Review and verify data for accuracy and completeness, identifying and correcting any errors to ensure high-quality data management.- **Record Maintenance:** Organize and maintain records and files, making it easier to locate information when needed and helping to streamline operations.- **Reporting:** Assist in generating reports and summaries based on the entered data, providing important insights to support decision-making processes.- **Collaboration:** Work closely with other team members and departments to ensure seamless communication and coordination in data-related tasks.**Required Skills and Expectations:**The ideal candidate should have strong attention to detail and the ability to focus on tasks for extended periods. Proficiency in typing, data entry software, and basic computer skills is essential. Candidates should also have good organizational skills to manage multiple tasks effectively. Strong communication skills are necessary to collaborate with team members and handle queries. A positive attitude and willingness to learn are important traits that will contribute to success in this role.

A Data Analyst for freshers involves collecting, cleaning, and interpreting data sets to answer business questions and support decision-making. Key tasks include producing reports, maintaining databases, creating visualizations, and assisting with ad-hoc analysis using tools like SQL, Excel, and Tableau/Power BI

Nagercoil Full-timeWe are hiring experienced candidates to support PhD-level research activities and technical documentation work. The role involves working with research papers, understanding technical concepts, and preparing structured research content based on project requirements.

We are looking for a highly analytical Lead Process Engineer to drive operational excellence and process transformation within lending operations. The role involves leveraging advanced statistical methods, process intelligence, and AI-assisted tools to improve efficiency, reduce variation, and enable scalable business operations. This position also includes mentoring junior team members while collaborating with cross-functional stakeholders.Key Responsibilities:Lead end-to-end process improvement initiatives using DMAIC methodologyApply statistical analysis, DoE, and SPC techniques to enhance process performanceDesign and optimize operational workflows across lending value streamsBuild and maintain process intelligence dashboards for real-time insightsConduct FMEA-based risk assessments and implement mitigation strategiesDrive AI-assisted process improvements using GenAI tools and automation frameworksPerform capacity forecasting and time series modeling for scaling operationsCollaborate with Product, Data, and Operations teams for transformation initiativesPresent ROI-driven insights and business cases to senior stakeholdersMentor and develop Process Analysts and Junior EngineersRequired Skills & Qualifications:7-9 years of experience in process engineering, quality engineering, or operations improvementStrong expertise in Lean Six Sigma methodologies (DMAIC execution experience mandatory)Hands-on experience in statistical tools: DoE, SPC, regression, hypothesis testingExperience with process mining / intelligence tools (Power BI, Celonis, etc.)Proven experience in FMEA and risk assessment frameworksStrong capability in capacity planning and time series forecastingExposure to AI/GenAI tools in operational environmentsProficiency in Excel (advanced), Python or Minitab, and data visualization toolsStrong stakeholder management and communication skills

We are looking for a motivated and detail-oriented Data Specialist to join our team in Chennai. In this role, you will play a crucial part in managing and analyzing data to support our business operations.**Key Responsibilities:**- **Data Entry and Management:** Accurately input and maintain data in our systems to ensure it is up-to-date and organized for easy access.- **Data Analysis:** Analyze data to identify trends and patterns, helping to inform decision-making processes within the organization.- **Reporting:** Generate reports based on data analysis to present findings to the team, helping to drive improvements and efficiency.- **Quality Assurance:** Regularly review data for accuracy and completeness, implementing corrections as needed to maintain high standards.- **Collaboration:** Work closely with other departments to understand their data-related needs and provide support as necessary.**Required Skills and Expectations:**Candidates should hold a degree in B.A, B.B.A, B.Com, B.Sc, or a relevant professional field. A keen attention to detail and strong analytical skills are essential, as you will be responsible for handling large amounts of data accurately. Basic knowledge of data management tools and software is preferred. We seek individuals who are eager to learn, possess excellent communication skills, and demonstrate the ability to work well both independently and as part of a team. A proactive attitude and adaptability to changing environments will be highly valued.

Role OverviewThe Data Analyst is responsible for analyzing large datasets, generating insights, and supporting business decisions through reports, dashboards, and statistical analysis. The role involves working with databases, analytical tools, and business teams to transform raw data into actionable insights. Key ResponsibilitiesCollect, clean, and analyze structured and semi-structured datasets.Write complex SQL queries to extract and manipulate data from databases.Perform data analysis using Python tools such as Pandas, NumPy, and visualization libraries.Build reports, dashboards, and visualizations for stakeholders Using IBM SPSS.Identify trends, patterns, and correlations in data to support business decisions.Ensure data accuracy, consistency, and quality across different sources.Work with cross-functional teams to understand business requirements.Conduct ad-hoc analysis and ongoing reporting tasks Using IBM SPSS. Required SkillsSQL for querying and data extractionPython (Pandas, NumPy, Matplotlib / Seaborn)Data analysis & statistical concepts (regression, hypothesis testing, probability)Reporting & dashboardsKnowledge of ETL processes and data warehousingData visualization tools like Power BI or Tableau (preferred) EducationBachelors degree in:Data ScienceStatisticsComputer ScienceMathematics or related field. ExperienceTypically 04 years for entry level roles.Some roles may require 3+ years experience in analytics. Salary (India Approx.)4.6 LPA 7.7 LPA depending on experience

A Data analyst supports the collection, analysis, and interpretation of data to help teams make informed business decisions. The role involves working with large datasets, creating reports and identifying treads that improve performance , efficiency, and strategy.

We are looking for a Data Analyst who can analyze data, prepare reports, and support business teams with insights. The role involves working with large datasets, creating dashboards, and ensuring data accuracy to help improve business performance.Key ResponsibilitiesCollect, clean, and analyze data from multiple sourcesPrepare daily, weekly, and monthly reportsCreate dashboards and visual reports using tools like Power BI or TableauMonitor KPIs and business metricsSupport business teams with data insights and analysisEnsure data accuracy and consistencyAd-hoc analysis as required by stakeholdersRequired SkillsGood knowledge of SQL AND IBM SPSSStrong Excel skillsExperience with Power BI / TableauBasic understanding of data analysis conceptsAttention to detail and problem-solving skillsQualificationsBachelors degree in any relevant field03 years of experience in data analysis or reporting (freshers can apply)Preferred SkillsBasic knowledge of IBM SPSS, Python or RUnderstanding of business reporting and KPIs

Seeking a skilled Senior Mining Engineer with 5-10 years of experience in the mining industry. Responsibilities include overseeing mining operations, designing and implementing mine plans, evaluating ore deposits, and ensuring safety regulations are followed. Must possess strong analytical skills, excellent knowledge of mining technology, and effective communication abilities. A degree in Mining Engineering is required.

As a Data Engineer, your responsibilities will include collecting and analyzing data to help inform business decisions. You will be responsible for data management, ensuring that data is accurate and up-to-date. This will involve using tools such as Informatica, PLSQL, SQL, and Oracle SQL to manipulate and query large datasets.Your skills should include a strong understanding of data analysis techniques, such as data mining and statistical analysis.

As a Data Analyst, your responsibilities will include collecting and analyzing data to help inform business decisions. You will be responsible for data management, ensuring that data is accurate and up-to-date. This will involve using tools such as Informatica, PLSQL, SQL, and Oracle SQL to manipulate and query large datasets.Your skills should include a strong understanding of data analysis techniques, such as data mining and statistical analysis.

As a Data Analyst, your responsibilities will include collecting and analyzing data to help inform business decisions. You will be responsible for data management, ensuring that data is accurate and up-to-date. This will involve using tools such as Informatica, PLSQL, SQL, and Oracle SQL to manipulate and query large datasets.Your skills should include a strong understanding of data analysis techniques, such as data mining and statistical analysis.

Business Unit: Ingram Micro LifecycleLocation: India (Bangalore / Hyderabad / Remote as applicable)Experience: 03 years (adjust as needed)Job SummaryIngram Micro Lifecycle is looking for a detail-oriented Data Analyst to support data-driven decision-making across IT Asset Disposition (ITAD), reverse logistics, refurbishment, and lifecycle services. The role involves analyzing operational, financial, and compliance data to improve efficiency, reporting accuracy, and customer insights.Key ResponsibilitiesCollect, clean, and analyze large datasets from lifecycle operations, ITAD systems, logistics, and ERP platformsBuild and maintain dashboards and reports for operations, sales, finance, and compliance teamsAnalyze trends related to asset recovery, refurbishment yield, resale value, and disposal metricsSupport customer reporting requirements, including SLA, audit, and compliance dashboardsWork closely with cross-functional teams (Operations, Finance, Sales, Compliance, IT) to understand data needsIdentify process gaps and recommend data-driven improvementsEnsure data accuracy, integrity, and governance standards are maintainedAssist in automation of reports and data pipelines where possiblePrepare insights and presentations for management reviewsRequired Skills & QualificationsBachelors degree in Data Analytics, Computer Science, Statistics, Engineering, or related fieldStrong proficiency in SQLHands-on experience with Excel (advanced formulas, pivot tables)Experience with BI tools such as Power BI, Tableau, or LookerStrong analytical and problem-solving skillsAbility to translate complex data into clear business insightsGood communication skills and stakeholder management abilityPreferred / Nice-to-Have SkillsExperience in ITAD, supply chain, logistics, or lifecycle servicesKnowledge of ERP systems (SAP preferred)Python or R for data analysis and automationUnderstanding of compliance standards (R2, e-Stewards, ISO, ESG reporting)Experience working with large, multi-source datasetsWhat We OfferOpportunity to work with a global leader in technology lifecycle servicesExposure to international clients and large-scale operations dataCollaborative and fast-paced work environmentCareer growth within analytics, operations, and strategy functions

A Data Science Trainer for freshers instructs learners in Python, SQL, machine learning, and data visualization via engaging classroom or online sessions. They develop curriculum, guide hands-on projects, provide feedback, and mentor students to industry readiness. Ideal candidates have strong technical fundamentals and excellent communication skills

A Data Analyst collects, cleans, and interprets complex datasets to provide actionable insights for business decisions. Key responsibilities include creating data visualizations (Tableau/Power BI), managing SQL databases, identifying trends, and presenting findings to stakeholders to improve operational efficiency. They work at the intersection of technology and business strategy.

We are looking for a Data Encoder to join our team in a part-time work-from-home position. This role involves entering and updating various types of data accurately. The ideal candidate should have attention to detail, basic computer skills, and good typing speed.**Key Responsibilities:**- **Data Entry:** Accurately input and update data into our database or management system, ensuring high levels of precision.- **Data Verification:** Regularly check and verify information for errors or inconsistencies, helping maintain data integrity.- **File Organization:** Organize and manage digital files systematically, making it easy to retrieve information when needed.- **Record Maintenance:** Keep records up to date and report any discrepancies to team leads, ensuring timely corrections.- **Communication:** Collaborate with team members to resolve data issues and provide updates on progress as required.**Required Skills and Expectations:**Candidates must have completed their 12th grade and possess basic computer skills, including proficiency in typing and familiarity with spreadsheet and word processing software. Strong attention to detail is essential to avoid errors and maintain data quality. Good communication skills are important to effectively share findings and updates with the team. Candidates should be self-motivated, able to meet deadlines, and comfortable working independently from home. Previous experience in data entry is not required but can be beneficial.