939 Review Analyst jobs in India
Fraud Review - Analyst
Posted 5 days ago
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Job Description
Position: Fraud Review – Analyst
About:
bluCognition is an AI/ML based start-up specializing in risk analytics, data conversion and data enrichment capabilities. Founded in 2017, by some very named senior professionals from the financial services industry, the company is headquartered in the US, with the delivery centre based in Pune. We build all our solutions while leveraging the latest technology stack in AI, ML and NLP combined with decades of experience in risk management at some of the largest financial services firms in the world.
Our clients are some of the biggest and the most progressive names in the financial services industry. We are entering a significant growth phase and are looking for individuals with entrepreneurial mindset who want to join us in this exciting journey.
Job Description:
• Monitor and identify high risk transactions within the business portfolio.
• Observe customer transactions to identify fraudulent activity such as account take over, friendly fraud, theft and similar other risks.
• Identify fraudulent transactions and cancel them from further processing.
• Resolve queued transactions within the service level agreements to reduce potential revenue losses.
• Interact with customers to validate information and to confirm or cancel authorizations.
• Monitor constantly customer and transactional records to identify unauthorized transactions and fraudulent accounts.
• Ensure confidentiality of all information collected during investigation.
• Determine existing fraud trends by analyzing accounts and transaction patterns.
• Identify system improvements to prevent fraudulent activities.
• Recommend anti-fraud processes for changing transaction patterns and trends.
• Maintain fraud analysis models, trackers to improve efficiency and effectiveness of company systems.
• Maintain the performance as per KRA.
• Undertake other responsibilities as may be assigned/approved by management from time to time.
Skills & Experience Required:
• 1+ year(s) experience in fraud investigation or KYC/AML process is preferable.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Proficient in MS Office.
• Bachelor’s Degree in related field like accounting, economics, business management, statistics, etc.
• Good communication skills, with proficiency in English and to be able to communicate with the US based client directly.
Location: C - 3010, Solitaire Business Hub, Viman Nagar, Pune - , Maharashtra, India
Mode of Work: Onsite / Work from Office (WFO)
Working Days: 5 Days a Week - Mondays to Fridays Shift Timings: Day
Shift - 11 AM to 8 PM IST with slight flexibility which could be required at times
Data Analysis - ETL
Posted 594 days ago
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Job Description
Looking For ETL Data Analyst Having Experience in the Healthcare domain
Greetings From 2COMS Group!Total Exp - 5 to 10 yrs
Loc: Pune/Mumbai/Hyderabad/Bangalore/Chennai (5 days Working – WFO)
Healthcare business and data analysis
Job Description• Create source-to-target mapping based on requirements
• Create rules definitions and transformation logic
• Gather and prepare analysis based on information from internal and external sources to evaluate and demonstrate program effectiveness and efficiency, and problem-solving
• Developing scalable reporting processes and querying data sources to conduct ad hoc analyses/detailed data profiling.
• Research complex functional data/analytical issues, good troubleshooting skill • Gather business requirements for analytical applications in iterative/agile development model.• Assume responsibility for data integrity among various internal groups and/or between internal and external sources
• Proficient in SQL understands data modeling concepts and ETL
• Aware of or willing to learn key concepts of Kafka, Databricks, GitHub, Airflow, Azure storage to support DataOps incident remediation work
• Must have an aptitude for learning new data flows quickly and participate in data quality and automation discussions.
• Must be able to take end to end responsibility in quickly solving data issues in production setting and be comfortable in engaging customers as needed for issue resolution
Proficient in Business analysis, Data Analysis, Mapping data from one format to another, Healthcare data experience(must), SQL(must), Snowflake(preferred), Databricks(preferred), Kafka(preferred)
Undergraduate degree or equivalent experience
• 5 or more years of data analysis experience
• 5 or more years of systems analysis/requirement gathering experience
• 3+ year of Health Care/Claims data experience
BenefitsAs per Co normsHR Data Analysis Manager
Posted 2 days ago
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Job Description
+ Report to the Director Data Analytics and collaborate with the team to produce insights, perform exploratory data analysis for leadership requests and maintain data visualization tools delivering people and business metrics.
+ Design and develop compelling dashboards using advanced analytics, interactive dashboard design, and data storytelling techniques.
+ Deliver operational talent reports with data-driven narratives.
+ Engage with People team and business stakeholders to gather requirements and support scheduled/ad hoc reporting.
+ Develop, implement, and maintain dashboards and reports for key stakeholders (e.g., Executive Leadership, HR leaders, Business Partners).
+ Innovate to automate and streamline processes.
+ Responsible for data cleansing, validation, testing, and large-scale data analysis.
+ Handle sensitive human capital data with discretion and sound judgment.
+ Collaborate with project teams to ensure correct identification of data impacted by changes.
**Education:**
+ Bachelor's degree in engineering, Computer Science, Mathematics, or related technical field.
**Experience:**
+ 8+yrs of total experience with atleast 5yrs of relevant Experience in analytics roles working with large datasets.
+ Self-motivated, curious, independent, and eager to learn.
**Technical Skills:**
+ Analytics data modelling, storytelling, and visualization using tableau, Power BI, SQL, other advanced analytical tools
+ Exposure to R, Python is an added advantage.
+ Experience in Workday reporting, Viva GLINT, Visier, HR data systems.
+ Preprocessing structured/unstructured data.
+ Advanced MS Excel, PowerPivot, Power BI, Power Platform, DAX.
**Other Requirements:**
+ Ability to work in virtual teams across time zones.
+ Broad understanding of HR processes and metrics (e.g., Workforce Metrics, Recruitment, Compensation, Talent Management).
+ People management experience (a plus).
+ Knowledge of ERP, HR systems, and Business Intelligence tools.
+ Ability to handle stress and prioritize effectively with management support.
Graduate Trainee - Data Analysis
Posted 2 days ago
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Research Intern - Data Analysis
Posted 7 days ago
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Job Description
Key Tasks:
- Assist in data collection and data entry processes.
- Perform data cleaning and preprocessing to ensure data quality.
- Conduct statistical analysis under the guidance of senior researchers.
- Create data visualizations to illustrate findings.
- Contribute to research reports and presentations.
- Learn and apply various data analysis techniques.
- Collaborate with team members on research projects.
Requirements:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Basic understanding of statistical concepts and methods.
- Familiarity with data analysis tools or programming languages (e.g., Excel, Python, R) is a plus.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and organizational abilities.
- Good written and verbal communication skills.
- Ability to work effectively in a team environment.
- Must be available for the duration of the internship at our Chennai, Tamil Nadu, IN office.
Graduate Trainee - Data Analysis
Posted 7 days ago
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Job Description
Key responsibilities include assisting in the development of data models, performing statistical analysis, and creating visualizations to communicate findings effectively. The trainee will learn to use various data analysis tools and software, gaining practical experience in extracting meaningful insights from complex datasets. This role requires strong analytical and problem-solving abilities, attention to detail, and a willingness to learn. The ability to work collaboratively within a remote team environment is essential. This program emphasizes continuous learning and development, providing mentorship and exposure to real-world data challenges. Graduates will have the chance to make tangible contributions while building a strong foundation for their professional future.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and data analysis methodologies.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) is a plus.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is desirable.
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong communication and teamwork abilities.
- Ability to work independently and manage tasks effectively in a remote setting.
Graduate Trainee - Data Analysis
Posted 8 days ago
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Job Description
Responsibilities:
- Assist in collecting, cleaning, and organizing data from various sources.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Create data visualizations and reports to communicate findings.
- Support data scientists and analysts in developing analytical models.
- Contribute to data quality checks and validation processes.
- Learn and apply various data analysis tools and techniques.
- Participate in team meetings and contribute to project discussions.
- Assist in documenting data analysis processes and methodologies.
- Understand business requirements and translate them into data analysis tasks.
- Develop basic skills in statistical analysis and reporting.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong foundational knowledge of statistical concepts and principles.
- Basic understanding of data analysis and visualization techniques.
- Proficiency in MS Excel and familiarity with data analysis software (e.g., Python, R, SQL - basic knowledge is a plus).
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal abilities.
- Eagerness to learn and a proactive attitude.
- Ability to work effectively in a team environment.
- Attention to detail and accuracy.
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Graduate Trainee - Data Analysis
Posted 12 days ago
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Job Description
Responsibilities:
- Assist in collecting, cleaning, and organizing data from various sources.
- Perform basic statistical analysis on datasets to identify trends and patterns.
- Create clear and concise data visualizations (charts, graphs) to communicate findings.
- Support senior analysts in developing reports and dashboards.
- Learn and apply data analysis tools and techniques.
- Contribute to data quality checks and validation processes.
- Collaborate with cross-functional teams to understand data needs.
- Assist in interpreting data and providing actionable insights.
- Participate in training sessions to enhance data analysis skills.
- Document methodologies and findings for future reference.
- Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
- Recent graduates with a strong academic background in quantitative subjects.
- Basic understanding of statistical concepts and methods.
- Proficiency in Microsoft Excel is required.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Knowledge of programming languages like Python or R is a plus.
- Excellent analytical and problem-solving abilities.
- Strong communication skills, both written and verbal.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
Graduate Trainee - Data Analysis
Posted 12 days ago
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Job Description
- Recent graduate with a degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Python or R.
- Good understanding of SQL and database concepts.
- Familiarity with data visualization tools is a plus.
- Excellent communication and teamwork skills.
- Eagerness to learn and develop expertise in data analysis.
Graduate Trainee - Data Analysis
Posted 13 days ago
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