Collection Analyst Jobs

A Safety Data Analyst fresher collects, cleans, and interprets data sets to provide actionable insights for business decisions. Key responsibilities include querying databases with SQL, creating dashboards via Tableau or Power BI, and performing data cleaning/analysis to identify trends. Candidates typically need a degree in a quantitative field (e.g., Mathematics, CS

As a Collection Executive, your main responsibility will be to manage and oversee the collection of outstanding payments from customers. You will play a key role in maintaining healthy cash flow for the company. **Key Responsibilities:**- **Contact Customers**: Reach out to customers through phone calls and emails to remind them about overdue payments and provide assistance when needed. Clear communication is essential to maintain a positive relationship.- **Manage Accounts**: Keep detailed records of collections, payments made, and outstanding amounts. This helps in tracking progress and identifying any recurring issues.- **Resolve Disputes**: Address any queries or disputes raised by customers regarding their payments. You will need to listen carefully and provide solutions or escalate the issue as necessary.- **Follow Up**: Regularly follow up with customers who have overdue payments. Consistent communication will help encourage timely payments.- **Update Records**: Ensure all customer information and payment statuses are accurately updated in the company's database. This aids in better management of accounts receivable.**Required Skills and Expectations:**Candidates should have completed at least the 12th grade. While previous experience is not mandatory, any relevant experience will be a plus. Strong communication skills are essential, as you will interact regularly with customers. You should possess good organizational skills to manage multiple accounts efficiently. A basic understanding of finance and payment processes will be beneficial. Being persuasive and assertive, yet polite, is crucial for effective collections. Proficiency in using computers and basic software is also expected to perform your duties effectively.

We are looking for a Data Analyst to join our team in Nagpur. The ideal candidate will have 1 to 6 years of experience in data analysis and a strong understanding of data management and visualization.**Key Responsibilities:**- **Data Collection and Cleaning:** Gather data from various sources and ensure it is accurate and free from errors, preparing it for further analysis.- **Data Analysis:** Employ statistical methods and analytical tools to interpret complex datasets, providing meaningful insights that support decision-making.- **Reporting:** Create clear and comprehensive reports that present findings in an easily understandable format for stakeholders, often using visualization tools.- **Collaboration:** Work closely with different teams to understand their data needs and provide tailored analytical support to enhance overall business performance.- **Continuous Improvement:** Stay updated with industry trends and analytical techniques, applying new methods to improve data processes and outcomes.Required skills and expectations include a strong proficiency in data analysis tools such as Excel, SQL, or similar databases. The candidate should possess excellent problem-solving abilities and have a keen attention to detail. Good communication skills are essential to effectively present data findings to both technical and non-technical audiences. The role requires a male candidate who is willing to work full-time from the office. A background in mathematics, statistics, or related fields is advantageous. The ideal candidate should be proactive and capable of managing multiple tasks efficiently.

Job Title: Data AnalystWe are looking for a detail-oriented Data Analyst to support data review, reporting, and basic analysis tasks.Key Responsibilities:Collect and organize dataAnalyze information and prepare reportsIdentify trends and maintain accurate recordsRequirements:Basic knowledge of Excel or similar toolsStrong attention to detailGood analytical and problem-solving skillsJob Type: Full-time / Part-timeEligibility: Freshers and experienced candidates can applyApply: Submit your application through PlacementIndia platform

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.

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

Join our team as a Data Analyst Intern based in Chennai, India. As a Data Analyst, you will be responsible for analyzing data, identifying trends, and creating reports to support business decisions. Your key responsibilities will include cleaning and organizing data, conducting statistical analysis, and creating data visualizations to communicate insights. To excel in this role, you must have strong analytical skills, proficiency in data analysis tools such as Excel and SQL, and the ability to work independently in a remote work environment. A graduate degree in a related field is required, and previous experience in data analysis is preferred but not necessary. This internship will provide valuable hands-on experience and the opportunity to develop key skills in data analysis.the registration fee is 899

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

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.

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.

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.

data analyst, data entry operator, data analysis, data management

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.

Hiring for 15 Data Analyst Jobs in Bhubaneswar, Visakhapatnam, Hyderabad, with minimum 1 Year Experience,Required Educational Qualification is : B.E, B.Tech, Other Bachelor Degree, M.Tech, Any Master Degree with Good knowledge in Data Management, Informatica, SQL, Data Mining, PLSQL, Oracle SQL, Corporate Branding, Data Collection, Data Analysis etc.

Data Analyst Responsibilities:Managing master data, including creation, updates, and deletion.Managing users and user roles.Provide quality assurance of imported data, working with quality assurance analysts if necessary.Commissioning and decommissioning of data sets.Processing confidential data and information according to guidelines.Helping develop reports and analyses.Managing and designing the reporting environment, including data sources, security, and metadata.Supporting the data warehouse in identifying and revising reporting requirements.Supporting initiatives for data integrity and normalization.Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.Generating reports from single or multiple systems.Troubleshooting the reporting database environment and reports.Evaluating changes and updates to source production systems.Training end-users on new reports and dashboards.Providing technical expertise in data storage structures, data mining, and data cleansing.Data Analyst Requirements:Bachelors degree from an accredited university or college in computer science.Work experience as a data analyst or in a related field.Ability to work with stakeholders to assess potential risks.Ability to analyze existing tools and databases and provide software solution recommendations.Ability to translate business requirements into nontechnical, lay terms.High-level experience in methodologies and processes for managing large-scale databases.Demonstrated experience in handling large data sets and relational databases.Understanding of addressing and metadata standards.High-level written and verbal communication skills.

Location: work from home / RemoteCompany: TSOLEDuration: 3 Months Stipend: Unpaid with performance-based rewardsAbout the Role:We are looking for a detail-oriented and analytical Data Analyst Intern to join our team. This role offers the opportunity to work on real datasets, gain hands-on experience in data analysis tools and techniques, and contribute to meaningful insights that support business decisions.Key Responsibilities:Collect, clean, and organize raw data from various sources.Analyze datasets to identify patterns, trends, and actionable insights.Create visualizations and dashboards using tools like Excel, Power BI, or Tableau.Assist in preparing reports and presentations for internal stakeholders.Work with SQL to extract and manipulate data from databases.Support the data team in performing exploratory data analysis (EDA).Collaborate with cross-functional teams for data-driven projects.Who Can Apply:Students or recent graduates in Data Science, Computer Science, Statistics, Engineering, or related fields.Basic understanding of data analysis concepts and tools.Familiarity with Excel, SQL, and at least one programming language (Python or R preferred).Strong analytical and problem-solving skills.Eagerness to learn and adapt to real-world data challenges.Good communication and documentation skills.Benefits:Hands-on experience with real-time data and projectsInternship Completion CertificateLetter of Recommendation (based on performance)Training in industry-standard tools (Excel, SQL, Python, Power BI, etc.)Opportunity to build a strong portfolio of data reports and dashboardsExposure to business use cases and decision-making based on data

Job Title: Data AnalystDepartment: Data & Analytics / Business Intelligence / ITLocation: Sushant Golf City, LucknowReports To: Data Manager / Analytics Lead / Business Intelligence Manager________________________________________Job Summary:We are seeking a detail-oriented and analytical Data Analyst to collect, process, and analyze data to support decision-making across departments. The ideal candidate will be responsible for transforming raw data into actionable insights and reporting trends that drive business strategies.________________________________________Key Responsibilities:-Collect, clean, and validate data from multiple sources to ensure accuracy and consistency.-Analyze large datasets to identify trends, patterns, and key insights that support business decisions.-Design and develop dashboards, reports, and visualizations using tools like Power BI, Tableau, or Excel.-Collaborate with cross-functional teams (e.g., marketing, finance, operations) to understand data requirements and deliver customized reports.-Create and maintain documentation related to data sources, methodologies, and report definitions.-Develop and automate routine data reporting processes.-Conduct ad hoc analyses and present findings in a clear, concise manner to stakeholders.-Monitor performance metrics and recommend improvements to business processes based on data findings.-Ensure compliance with data governance, privacy, and security policies.________________________________________Qualifications:-Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related field.-1 years of experience in a data analysis or similar role.Preferred Skills:1.Experience with cloud platforms like AWS, Azure, or Google Cloud is a plus.2.Familiarity with predictive analytics and machine learning concepts.

Job Description: The Data Team ensures accurate, timely, and actionable insights by managing data infrastructure, creating reports, and supporting analytics across the company. They help drive informed decisions through data collection, processing, and analysis.Key Responsibilities: Collect, clean, and maintain large datasets Build dashboards and reporting tools for stakeholders Perform data analysis to support business strategy Ensure data integrity and compliance with privacy regulations Collaborate with teams to define data needs and priorities

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

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 data, analyzing complex datasets, and providing insights and recommendations to support business decision-making. You will need to have a strong understanding of data management principles and be proficient in SQL, Oracle SQL, and PLSQL for data extraction and manipulation. Experience with data mining and data collection techniques is also essential in this role.

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

Dear Candidates,Greetings from Rightfit Resources!We are hiring for the following position:Position: DATA ANLYST Salary: 12,000 to 55,000 per month Qualification: Fresher / ExperiencedIf you are passionate, motivated, and looking to join a dynamic team, we want to hear from you! Apply now and take your career to the next level with Rightfit Resources.How to Apply: - https://forms.gle/Z5AttdqEpRC2VCZ6ANote: Only shortlisted candidates will be contacted for the interview process.