Collection Analyst 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.

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.

The Field Collection Executives will be responsible for collecting/recovering payments from customers who has taken any short of loans, however, have failed/missed to make the repayment by visiting door to door and return the collected amount back to the bank branch.- The Field sales Executives will be responsible for Insurance sales and up sale by either visiting to prospect customers home or by calling them.- The candidate should be fluent in English & Tamil Language for Chennai, English & Kannada Language for Bangalore & English & Hindi Language for Pune- The candidates Minimum Education should be class 10 pass for Collection Executives and 12th Pass for Sales Executive along with 12 months of sales experience or Graduate Freshers- The candidates should have their own 2-wheeler along with driving license- The candidate should be ready to work in Field as well as from Office- The candidates will have work 6 days in a week with 1-day rotational week off- Shift timings will be any 9 hours of shift between 6AM - 8PM- Salary range will be maximum 16.5K PM for Field Collection Executive Chennai and maximum of 24K PM for Field Sales executive for both Chennai and Bangalore, along with additional petrol allowance

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

Job Description :The position holder will be responsible to achieve collection targets on monthly basis by making calls to the customers whos monthly installment (EMI) is due or who have not paid the installment on due date, explaining the consequences of not paying on time , providing payment options as per the process and follow up till the time the due installment is cleared.

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