Data Mining Fresher Jobs in Bangalore

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.

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

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.

Job Openings for 5 Data Mining Engineer Jobs for Freshers in Bangalore, having Educational qualification of : Diploma,Other Bachelor Degree,B.A,B.C.A,B.B.A,B.Com with Good knowledge in Basics of Computer etc.

Hello,We are looking for people who can take online surveys, review applications and share their experience.Requirements:Be online for 10-15 minutes per day (approximate time for one task)Have a Telegram accountHave a computer and a phoneBe willing to work and earnYou can earn up to $5 per day for completing 10 tasks (on start).We are waiting for you to join our team.If you think, that we can work together, send us your resume.

We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases.Job DescriptionDevelop and implement best practices for master data management - working in collaboration with subject matter experts.Identify trends and opportunities for growth through analysis of complex data sets.Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for data sets.Collaborate with wider procurement team members to write prioritized business requirements, and documentation, including scope definition and statement of work as well as information needs.Design databases, develop ETL processes, and facilitate customized analyses.Identify process improvement opportunities, develop and implement necessary solutions working in partnership with process engineers - applying Agile, Lean, and automation/Robotic Process Automation where feasible.Be the point of contact for internal and external inquiries related to analytics, reporting, and dashboards.Managing master data, including creation, updates, and deletion.Processing confidential data and information according to guidelines and helping developers with reports and analysis.Managing and designing the reporting environment, including data sources, security, and metadata.Supporting the data warehouse in identifying and revising reporting requirements.Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.Evaluating changes and updates to source production systems.

Roles and Responsibilities:1. Coordinating with HR Team to acquire requirements.2. Should work with Data Mining3. Should complete the day to day Data Validation Tasks on timeWhat we Expect1. Good Communication2. Interpersonal Skills3. Confident Go-getter4. Should be a good team player5. Basic Computer Knowledge6. Should have knowledge in data mining process (Required)

JOB DESCRIPTIONJob OverviewWe are looking for a Data Scientist who will support our product, sales, leadership and marketing teamswith insights gained from analyzing company data. The ideal candidate is adept at using large data setsto find opportunities for product and process optimization and using models to test the effectiveness ofdifferent courses of action. They must have a proven ability to drive business results with theirdata-based insights. They must be comfortable working with a wide range of stakeholders andfunctional teams. The right candidate will have a passion for discovering solutions hidden in large datasets and working with stakeholders to improve business outcomes.Responsibilities for Data Scientist Work with stakeholders throughout the organization to identify opportunities for leveragingcompany data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement ofproduct development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, adtargeting and other business outcomes. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy.Qualifications for Data Scientist Strong problem solving skills with an emphasis on product development. Experience using statistical computer languages , to manipulate data and draw insights fromlarge data sets. Experience working with and creating data architectures. Knowledge of advanced statistical techniques and concepts (regression, properties ofdistributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication

Our company is searching for a meticulous and experienced data architect to join our talented team. Your central responsibility as the data architect will be to develop, optimize, and oversee our companys conceptual and logical data systems. Your duties may include preparing architect reports, monitoring the system, and supervising system migrations.Job DescriptionDesign and implement effective database solutions and models to store and retrieve company data.Examine and identify database structural necessities by evaluating client operations, applications, and programming.Assess database implementation procedures to ensure they comply with internal and external regulations.Install and organize information systems to guarantee company functionality.Prepare accurate database design and architecture reports for management and executive teams.Oversee the migration of data from legacy systems to new solutions.Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.Recommend solutions to improve new and existing database systems.Educate staff members through training and individual support.Offer support by responding to system problems in a timely manner.Strong knowledge of database structure systems and data mining.Excellent organizational and analytical abilities.

A data science job description for freshers focuses on collecting, cleaning, and analyzing structured/unstructured data to generate actionable insights. Key responsibilities include building predictive models using SQL, Python, or R, data visualization (Tableau/Power BI), and collaborating with teams to solve business problems. Top requirements are strong analytical, statistical, and communication skills