Data Analyst Female 10th Pass Jobs in Bangalore

Good Computer knowledge, excel,Googlesheets handing etc

We have vacant of 1 Data Analyst Job in Koramangala, Bangalore, Karnataka, for Freshers Educational Qualification : Other Bachelor Degree Skill Data Analysis etcLooking for immediate joinee Interview: 7th and 8th sep and DOJ: 11/9/2023. please call me immediately.

We are looking for Data Analyst trainer for online and Offline training, daily one to two hours classes, if u r interested please let me know

Need folks for data research training will be provided

Nsure Proper Running Of Databases By Means Of Timely Data InputAssume Data ProofreadingSeek Data Updates By Monitoring External Sites And Communicating With Consumers And Project ManagersRecourse To Data Cleaning Methods (For Instance, Promote Usability, Fill Holes, Etc.)Discern Data Processing Problems, Troubleshoot And Report Them If NecessaryElaborate New Methods Of Data Entry To Increase ProductivityStay In Touch With Specialists In Data Gathering To Avoid Any DiscrepancyEnter Identifiable Information In Order To Execute Data Tracking ActivitiesContribute To Preserving Data Confidentiality Within A Company

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

Key skills :- Advanced Excel, word, PDF skills- Ability to work quickly manipulating and analyzing data- Ideally from a STEM background- Genuine interest in Data and Artificial intelligence- Python, C++ or VBA or SQL server experience is beneficial- Keen interest in automation artificial intelligence or data science essentially.- 0-2 years experience- Until the Covid situation settles Work location is going to be remote .- Candidates must have ability to work from home and also in a position to use their personal laptop during this period.Industry typeIT Services & ConsultingFunctional areaData Science & AnalyticsRoleData AnalystRole categoryBusiness Intelligence & AnalyticsEmployment typeFull Time, PermanentEducationB.Tech/B.E. in Any Specialization, B.Sc in Any Specialization, BCA in Any SpecializationAny PostgraduateDoctorate Not Required

We hope you are doing well.TMUS India Private Limited is pleased to invite you to explore an exciting Remote Data Analyst AI Automation & Digital Analytics opportunity with our team.At T-Mobile, we believe in investing in YOU. Our Total Rewards philosophy ensures that our team members grow professionally, financially, and personally while contributing to one of the worlds most innovative digital-first companies.About the Role Data Analyst (AI & Digital Analytics)In this role, you will work closely with our digital product and engineering teams to automate analytics specifications, enhance tracking frameworks, and ensure high-quality digital data across web and mobile platforms.You will leverage AI, LLMs, automation platforms, Adobe Analytics, SQL, Power BI, and Python to transform business requirements into scalable, accurate, and validated analytics event documentation.This position is fully remote for the India location.Key ResponsibilitiesDefine and automate analytics tagging requirements for web/app features.Use AI/LLM tools to generate event specifications and documentation.Create scalable event schemas, payload definitions, and parameter mappings.Build automated workflows for spec creation, QA, and updates.Ensure data governance and consistency across digital ecosystems.Collaborate with engineering, product, and analytics teams for seamless implementation.Develop dashboards, KPIs, and reports using Power BI, Adobe Analytics, and SQL.Perform data validation, troubleshooting, and analytics QA.Identify optimization opportunities across customer journeys and digital performance.Required Skills & ExperienceBachelors Degree with 0-4 years in digital analytics or business intelligence.Strong SQL, Python, large datasets, and analytics modeling experience.Expertise in LLMs like GPT, Claude, Gemini, Llama; prompt engineering preferred.Experience with Adobe Analytics, AEP, tagging automation, and event tracking.Power BI dashboards, KPI creation, and data visualization experience.Experience designing event schemas across web, mobile, backend, SDKs.Familiarity with JavaScript and ML-based anomaly detection (preferred).What You GetEmployees in India enjoy a strong benefits and compensation package, aligned with T-Mobiles global Total Rewards philosophy, including:Competitive salaryPerformance-linked bonusHealth & wellness benefitsPaid time off and holidaysCareer development & upskilling opportunitiesStock purchase programs & internal mobility pathwaysWe are committed to helping you growprofessionally and personally.At T-Mobile USA and TMUS India Pvt. Ltd., we value inclusivity, equal opportunity, and respect at every level. We welcome talent from all backgrounds who share our passion for innovation and growth.Looking forward to hearing from you.

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.