Fresher Mining Jobs

As a Mining Engineer in Katni, you will play a crucial role in the planning and execution of mining operations. Your primary responsibilities will include:- **Planning Mining Operations:** You will develop detailed plans for efficient extraction of minerals, taking into account safety, cost, and environmental concerns.- **Site Management:** Oversee daily site operations to ensure that all activities comply with safety regulations and operational standards.- **Equipment Maintenance:** Work with technicians to ensure that all mining equipment is maintained and functioning properly, minimizing downtime.- **Data Analysis:** Collect and analyze geological data to determine the best methods for mining operations and optimize resource utilization.- **Collaboration with Teams:** Work closely with geologists, environmental scientists, and other engineers to ensure that mining projects are completed on schedule and within budget.- **Reporting:** Prepare periodic reports detailing project progress, challenges, and financial performance for management review.Candidates should possess the following skills and expectations:- **Educational Background:** A Bachelors degree in Mining Engineering or a related field is required.- **Technical Skills:** Familiarity with mining software and data analysis tools will be beneficial.- **Problem-Solving Ability:** Strong analytical skills to solve complex engineering problems efficiently.- **Team Player:** Ability to work collaboratively in a team environment.- **Communication Skills:** Effective verbal and written communication skills to interact with team members and stakeholders.- **Adaptability:** Willingness to learn and adapt to new technologies and practices in the mining industry.

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.

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

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

Key ResponsibilitiesData Collection & Cleaning: Sourcing data from various places (primary/secondary) and ensuring its accuracy, consistency, and quality. Analysis & Interpretation: Using statistical methods, identifying trends, patterns, and anomalies to answer key business questions. Reporting & Visualization: Creating clear reports, charts, dashboards (e.g., in Power BI, Tableau) to present findings to technical and non-technical audiences. Collaboration: Working with cross-functional teams to understand needs and deliver relevant insights. Database Management: Setting up and maintaining data systems and infrastructure. Essential Skills & ToolsTechnical Skills: SQL, Excel, Python/R (for analysis), Data Visualization tools (Tableau, Power BI). Analytical Skills: Statistical analysis, problem-solving, critical thinking, identifying patterns. Soft Skills: Communication (to explain complex data), attention to detail, collaboration.

A data analyst job description involves collecting, cleaning, and interpreting large datasets to identify trends and provide actionable insights for decision-making. Key responsibilities include preparing data, performing statistical analysis, and communicating findings through reports and dashboards to help businesses improve efficiency and strategy. Analysts use tools like SQL, Python, and Excel to transform raw data into understandable information for both technical and non-technical stakeholders.

The role: Earn up to $800 - $1,500 per month (depending on experience) as a Data Scientist at Venture Smarter, your trusted partner in navigating the complex landscape of business growth and transition.As a Data Scientist, you will leverage your skills and expertise in data science, machine learning, and artificial intelligence to extract valuable insights from large and complex data sets. You will work on various projects and initiatives that aim to improve our products and services, enhance customer experience, and drive business growth and innovation.Head on over to search on Google for Venture Smarter then go to our Career page from the homepage if you dare to aspire for better in your career!**** Given the high number of applications we receive, we will only respond to those who meet the qualifications for the positions applied for.Please note that we will not reply to job application inquiries sent to our social media accounts. All communication from us will be conducted via email.If you do not receive a response, you are welcome to re-apply after six months for another suitable position within our company. ****Venture Smarter has been featured in media outlets such as CBS News, Digital Journal, and Go Banking Rates. Check us out youll know were the place to be.What the job entails: Collect, clean, and preprocess data from various sources, such as databases, APIs, web scraping, or surveys Explore and analyze data to discover patterns, trends, and anomalies, and generate hypotheses and questions Build and test predictive models and machine learning algorithms, using tools such as TensorFlow, PyTorch, or Scikit-learn Evaluate and optimize the performance and accuracy of the models and algorithms, and fine-tune the parameters and features Deploy and integrate the models and algorithms into production systems and applications, using tools such as Flask, Docker, or Kubernetes Create and deliver data products and solutions, such as dashboards, reports, and visualizations, using tools such as Plotly, D3.js, or Shiny Communicate and explain complex data and findings to various stakeholders and audiences, using clear and compelling language and visuals Conduct research and experiments on new and emerging data science, machine learning, and artificial intelligence techniques and technologies, and apply them to business problems and opportunitiesJob Requirements: Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; or equivalent work experience Minimum of 5 years of experience in data science, machine learning, or a similar role, preferably in a tech or consulting industry Expertise in data science, machine learning, and artificial intelligence concepts, methods, and techniques, such as regression, classification, clustering, natural language processing, computer vision, or deep learning Proficient in programming languages and frameworks, such as Python, R, Java, or C++ Proficient in data analysis and manipulation tools and libraries, such as SQL, Pandas, or NumPy Proficient in machine learning and deep learning tools and libraries, such as TensorFlow, PyTorch, Scikit-learn, or Keras Proficient in data visualization and presentation tools and libraries, as Plotly, D3.js, Shiny, or Matplotlib Excellent communication, presentation, and storytelling skills, with the ability to communicate effectively with diverse stakeholders and audiences Strong analytical, problem-solving, and creative thinking skills, with the ability to use data and logic to support decisions and recommendations Ability to work in a fast-paced, dynamic, and innovative environment, and manage multiple projects and deadlines Curiosity, passion, and enthusiasm for data science, machine learning, and artificial intelligence, and their applications and implications

We are seeking a passionate Data Analyst Intern who loves working with data, analyzing patterns, and finding insights that help make better business decisions. Youll work closely with our analytics and product teams to transform raw data into meaningful information.Responsibilities: Collect, clean, and organize data from multiple sources. Analyze large datasets to identify trends and insights. Create dashboards and visualizations using tools like Excel, Power BI, or Tableau. Assist in preparing data-driven reports for management. Collaborate with teams to optimize data collection and reporting processes. Present insights in a clear and actionable way.Required Skills: Proficiency in Excel/Google Sheets for data analysis. Basic knowledge of SQL for querying databases. Familiarity with Python (Pandas, NumPy) or R is a plus. Understanding of data visualization tools (Power BI, Tableau, or Google Data Studio). Strong analytical and problem-solving mindset.Eligibility: Pursuing or recently completed a degree in Computer Science, Statistics, Mathematics, Economics, or related fields. Good communication and presentation skills. Eagerness to learn and explore new tools and techniques.Perks: Hands-on project experience with real-world data. Internship completion certificate. Mentorship from experienced data professionals. Opportunity for full-time employment based on performance.

Responsibilities and Duties1. Research and generate lists of potential customers2. Provide input on customer briefs, presentations, and sales literature3. Help develop client relationships and retain existing accounts4. Assist in evaluating new sponsorship opportunities5. Learn and apply sales techniques6. Maintain sales recordsRequired Experience, Skills and QualificationsEnglish proficiency, Data Mining, Sales, Sales Support, Lead Generation

Role & ResponsibilityKEY: Support data-related projects by identifying user needs, collecting data, perform data analysis & interpretation and visualization of both time series process data, and manufacturing/operational data.

We have vacant of 15 Data Analyst Jobs in Chennai, for Freshers Educational Qualification : Higher Secondary, Secondary School, I.T.I., B.A, B.Arch, B.C.A, B.B.A, B.Com, B.Ed, BDS Skill Data Analysis, Data Management, Informatica, PLSQL, Data Mining, SQL, Data Collection, Oracle SQL, Corporate Branding etc.

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.

Tailored Email Communication, Lead Communication, Social Media Research, Needs Analysis & Decision-Maker Identification, Collaboration Research, Effective Communication

Responsibilities and Duties1. Research and generate lists of potential customers2. Provide input on customer briefs, presentations, and sales literature3. Help develop client relationships and retain existing accounts4. Assist in evaluating new sponsorship opportunities5. Learn and apply sales techniques6. Maintain sales recordsRequired Experience, Skills and QualificationsEnglish proficiency, Data Mining, Sales, Sales Support, Lead Generation

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.