Data Collection Job Vacancies in Bangalore

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 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.

WANTEDARJUN CONSULTANCYGandhi Nagar 1st Cross,Beside B.K.S Hospital, Below Equitas Bank, Bellary. Contact: +91 81055 56789 +91 96639 35764Baskar Foundation is inviting applications from enthusiastic and skilled individuals for the following positions:1. Job Description- Collect data about jobless people in different cities and local areas- Promote business videos on social media platforms (Facebook and Instagram)Salary- *11,000+ 200 per dayEligibility- Unemployed individuals can apply- Basic communication skills required (no special degree needed) - Knowledge of video making.Training- One-month Direct training provided- Job placement offered after training if performance is satisfactoryLocation- Pan IndiaAdditional Benefits- *299 for each referral - 12000 joining bonus

Main ResponsibilitiesOversee the daily collection, cleaning, and validation processes of fund-related data to ensure accuracy and reliability.Serve as SPOC for ETF (sub-product).Interact with a Scrum Team for identifying and resolving issues with automated processesLead initiatives to identify and address errors, duplicates, and data integrity issues, ensuring reliable and consistent data management.Serve as the primary Subject Matter Expert (SME) and point of contact for fund-related datasets, guiding both internal teams and external stakeholders.Respond promptly and effectively to fund data-related inquiries from clients and internal stakeholders.Lead the expansion of data collection efforts, proactively identifying opportunities to enhance and diversify fund data acquisition.Be the first point of contact for new hires and lead/guide/train analysts.Assist Assistant Manager/Manager in preparing comprehensive reports on incident reporting, Root Cause Analysis (RCA), fixes, and work in progress on key metrics and insights.Maintain and update documentation on fund data sources, processes, and methodologies, ensuring accessibility and clarity for internal teams.Collaborate closely with data engineers to establish and optimize fund data pipelines, enhancing the flow and efficiency of data processing.Participate in integrating the existing fund dataset with internal next-generation platforms.Basic QualificationsBachelors or masters degree in science, Technology, Engineering, Mathematics, Finance, Accounting, or related fields.3+ years of experience in the funds or indexing industry, particularly in data, analytics, or finance-related roles.Strong understanding of financial instruments such as ETFs, Mutual Funds, and other relevant asset classes.Detail-oriented with strong analytical skills, specifically in the context of financial data.Key SkillsExperience in corporate actions, fund holdings, indexing and fund space.Operational knowledge of SQL.Ability and willingness to adapt to fast-paced environment and shifting priorities.Excellent communication and interpersonal skills.Problem-solving and decision-making capabilities.Willingness to step into supervising the team as needed.

A Facility Field Officer manages daily operations, supervises staff, ensures client satisfaction, and coordinates site-level activities like maintenance, housekeeping. Key duties include manpower deployment, site inspections, inventory management, staff training, vendor coordination, and ensuring compliance with safety regulations and service standards.

OCR Typing + Formatting Work for AI Dataset Stipend 7,800 + Daily Earnings 700 1200+ Fast Payouts No Investment Apply by 27th April 2026 Apply Now: https://aicore.live/ocr_ai_db_library/ Apply! Selection started Interview over Phone/ Zoom/ Online

Duration - 2 to 3 months Start date - 1st March 2025 Seeking diligent and detail-oriented candidates, on-site role at client locations (WFO).Responsibilities:Collect and record physical inventory of IT/Non-IT assets in Excel.Scan and tag assets using client-provided tools and QR codes.Complete other asset-related tasks while adhering to client policies.Basic Knowledge of ComputerLocations: Bangalore, Indore, Vizag.

Job Description: Business Analyst at Renaissance Academy of WisdomPosition Title: Data AnalystLocation: Bangalore,Mumbai,Chennai.Department: Strategy and OperationsReports To: Director of Strategic InitiativesAbout Renaissance Academy of WisdomThe Renaissance Academy of Wisdom is a pioneering institution dedicated to the cultivation of intellectual, professional, and personal growth. Through a multidisciplinary approach, we empower individuals to think critically, innovate, and lead in a rapidly evolving world. Our mission is to create an environment of wisdom-driven learning, where knowledge is synthesized, applied, and shared for the betterment of society.We are seeking a dynamic data Analyst to join our growing team. As a data Analyst at the Academy, you will play a key role in shaping the future of our strategic initiatives, driving operational efficiencies, and supporting data-driven decision-making across various departments.Position OverviewAs a Data Analyst, you will play a key role in transforming data into actionable insights to support business objectives and enhance operational performance. You will collect, clean, analyze, and visualize data from a variety of sources, working closely with cross-functional teams to identify trends, patterns, and opportunities for improvement. This position requires an individual who is detail-oriented, technically proficient.Key Responsibilities:Data Cleaning & TransformationReporting & DashboardsData VisualizationCollaborationsDocumentation & Presentation

Educational institution dedicated to teaching the French and Italian language globally requires hiring an Academic Administrative Assistant in the remote work modality for its New York headquarters. Activities and Tasks Daily collection and sending of emails and data Management of emails and drives Database management Tracking and monitoring of payments and collections Bank transfer validation Ticketing in the company biller Customer Service: Answer calls and provide reportsAnswering callsThe ideal candidate should have: A Bachelors degree in business administration, marketing, communication or related field with at least 2 years of relevant experience; Sectoral knowledge in the field of languages or education will be an added advantage; Experience in academic administration with the ability to maintain records and calendars, student payments and schedule appointments; Native in English (verbal and written) with american accent (is a must); and the ability to communicate effectively, both orally and in writing; Ability to understand and follow specific instructions and procedures; Ability to maintain the confidentiality of records and information; Strong attention to detail, and rigor of approach in any task taken up; Organising and coordinating skills; Technology: Data entry skills; working knowledge of basic software (MS Office and google drives), Google Forms and Excel Good interpersonal skills and experience of working in teams, to better liaise with fellows, staff and faculty on a daily basis. Requirements *Basic level of Spanish Work hours will be Monday through Friday from 19h. to 4h30., Saturdays from 18 h 30 to 22h30.Monthly payment: 40.000 to 45.000 INRAccording to the general regime for private activity in Peru, the worker receives 15 salaries: two that correspond to their work bonuses and an amount intended for Compensation for Time of Service (CTS).

FEMALE CANDIDATES ONLYDesignation: Event Executive (Field)Job role - Data collection (From events and field)What sort of events we do:1. RWA event (Apartment events) i.e.., Residents Welfare Association)2. Pre-school events3. Mall events4. Park events and moreIf any day we don't have an event then you will be collecting data on field.Working hours - 09.30 AM to 6.30 PMWorking days- 6 (Saturday and Sunday mandatory work)Week off- 1 day (Rotational between Tuesday - Friday)Requirements:1. communication2. Would be able to speak to parents for 2 to 5 mins3. Should be good to mingle with kids5. Should be ok to work on weekend and on festival days as per event requirement.Job Types: Full-time, Regular / Permanent, Contractual / TemporarySalary: From 20,000.00 per monthSchedule:Day shiftSupplemental pay types:Performance bonusAbility to commute/relocate:Bengaluru, Bengaluru - 560076, Karnataka: Reliably commute or planning to relocate before starting work (Required)Experience:total work: 1 year (Preferred)Willingness to travel:50% (Preferred)

Responsibilities: Understanding business objectives and developing models that help to achieve them, alongwith metrics to track their progress Implementing data science prototypes by applying appropriate ML algorithms and tools Running hypothesis tests, performing statistical analysis, and interpreting test results Solving complex problems with multi-layered data sets, as well as optimizing existingmachine learning libraries and frameworks Analysing the ML algorithms that could be used to solve a given problem and ranking themby their success probability Documenting machine learning processes and keeping abreast of developments in machinelearning & ML-Ops Assessing, implementing & deploying cloud infrastructure, data pipelines to meet deadlinesand the business objectives while minimizing costs Deploying ML pipelines to production using CI/CD, and scaling ML algorithms to analysehuge volumes of historical data to make predictions in a batch or streaming environmentwhile meeting the required SLAs Consulting with client partners to assess their current ML-Ops maturity, answer anyquestions they may have, and design an ML-Ops strategy (roadmap, tech stack & associatednuances) to meet their requirementsSkills & Requirements: Bachelor's/ Masters degree in computer science, data science, mathematics, or a relatedfield At least 2-3 years' experience as a machine learning engineer Experience in deploying models on the cloud, and awareness of tools like Sagemaker, ML-Flow and other ML-Ops tools Advanced proficiency with Python & PySpark Extensive knowledge of ML frameworks, libraries, data structures, data modelling, andsoftware architecture. Knowledge of deep learning framework such as TensorFlow/PyTorchis a plus In-depth knowledge of mathematics, statistics, and algorithms Superb analytical and problem-solving abilities Great communication and collaboration skills Excel

Role-Execute the daily collection, cleaning, and validation processes of fund-related data to ensure accuracy and reliability.Monitor and perform quality assurance on data ingested via automated processesIdentify and address errors, duplicates, or inconsistencies in datasets to maintain accuracy and integrity.Interact with a Scrum Team for identifying and resolving issues with automated processesParticipate in expanding data collection efforts.Assist Assistant Manager/Manager in preparing comprehensive reports on incident reporting, Root Cause Analysis (RCA), fixes, and work in progress on key metrics and insights.Respond to data-related inquiries from Senior Analyst and your inline Manager.Maintain documentation of data sources, processes, and methodologies.Work closely with data engineers to establish and optimize data pipelines.Preferred skills-Bachelors or masters in science, Technology, Engineering, Mathematics, Finance or AccountingPreferably 2 years of experience in financial data, previous roles circulating validation of NAVs, Price, Shares or any financial data.2-4+ years' experience in funds/indexing industry within data, analytics or finance-related roleFamiliarity with ETFs, Mutual Funds and/or other financial instruments