3,042 Finance Operations Analyst jobs in India
Finance Operations Analyst, India Business Team, FOAA
Posted 2 days ago
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Job Description
Amazon is a US-based multinational electronic commerce company headquartered in Seattle, Washington. Amazon.com started as an online bookstore, but soon diversified into many other categories, with a vision to be earth's most customer-centric company & to build a place where people can come to find and discover anything they might want to buy online. Amazon's Finance Operations, Accounting & Analysis (FOAA) team is a fast-paced, team-focused, dynamic environment and delivering great experiences for our customers is top priority.
FOAA is seeking a Finance Analyst to support IBT (India Business team) in daily operational reconciliations for Nodal and Escrow settlements for India Marketplace and e-commerce business.
Key Qualification Required
- ACCA or MBA Finance/MBA along with Banking experience and technical expertise.
Key job responsibilities
- Work independently to perform daily, weekly and monthly operations and reconciliations for Nodal and Escrow accounts which are regulated by Reserve Bank of India for Amazon Pay India Private Limited.
- Own the Nodal and Escrow accounts in India Marketplace and ensure Business Metrics are met 100% within defined Service Level Agreement.
- Creating a "No Surprise Environment" and Great customer experience for India Payments stakeholders:
a.Ensure high standards of delivery of reports with timeliness and accuracy.
b.Ensure all issues are flagged off at the earliest, tracked and resolved on a timely basis.
c.Ensure all the reports have maker checker review process and documented evidence.
- Dive Deep into all Nodal and Escrow processes for streamlining, mitigating risks, ensuring regulatory controls and eliminating defects.
- Quality of reconciliations and reporting activities: Quality score for all the reporting activities, reconciliations and accounting activities should be at TTM >=99.4% during 2025 (Four Sigma). - Audit support : All the audit requirements should be delivered timely and accurately.
- Process SOP's to be updated, modified, signed off by IBT and business and compliance leadership (L6+).
- Process Escalation metrics to be updated within SOP for all the activities. - Give back to Amazon community through facilitating trainings or participating in events
- Provide project management update within and across business units to transition new processes and/or permanent solutions to support the business needs.
- Coordinate with external stakeholders like Banks, Payment processors and internal stakeholders like Business and Technology partners to establish and maintain strong communication channels.
- Identify, implement, and adhere to best practices across all regulatory processes and project launches.
- Provide inputs for weekly, monthly and quarterly business reviews in a timely manner.
- Ensure appropriate financial policies, procedures, and internal controls are in place, documented, and operating as intended.
- Prepares and reviews complex account reconciliations, financial analysis, and deliverables.
- Drive process improvements required to enhance controls and quality of reconciliations and related processes.
Key job responsibilities
- Own the Nodal and Escrow accounts in India Marketplace and ensure Business Metrics are met 100% within defined Service Level Agreement.
- Prepares and reviews complex account reconciliations, financial analysis, and deliverables.
- Drive process improvements required to enhance controls and quality of reconciliations and related processes.
- Coordinate with external stakeholders like Banks, Payment processors and internal stakeholders like Business and Technology partners to establish and maintain strong communication channels.
- Dive Deep into all Nodal and Escrow processes for streamlining, mitigating risks, ensuring regulatory controls and eliminating defects.
- Creating a "No Surprise Environment" and Great customer experience for India Payments stakeholders:
a.Ensure high standards of delivery of reports with timeliness and accuracy.
b.Ensure all issues are flagged off at the earliest, tracked and resolved on a timely basis.
c.Ensure all the reports have maker checker review process and documented evidence.
Basic Qualifications
- 2+ years of finance experience
- 2+ years of building financial and operational reports/data sets that inform business decision-making experience
- 2+ years of business-to-business collections experience
- Knowledge of finance, accounting or related field focused on analytics
- Experience using data to influence business decisions
- Experience in managing finance operations for accounts payable, accounts receivable or payroll
- Knowledge of standard software including Excel, Access, Oracle, Essbase, SQL and VBA skills
Preferred Qualifications
- 2+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
- Experience in Excel (macros, index, conditional list, arrays, pivots, lookups)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Operations Finance Analyst
Posted 2 days ago
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Standard (Mon-Fri)
**Environmental Conditions**
Office
**Job Description**
+ **Risk Mitigation** : Ensure monthly client reporting, including SUA studies, and timely follow-up on overdue A/R. Discuss with manager any red flags with sponsors (cashflow, study cancellations, client turnover, collections, mod delays) and use the risk review escalation process.
+ **Accountability** : Have full command of the studies you manage, understanding finances and key study drivers.
+ **High-Quality Financial Analysis** : Provide financial analysis to support decision-making and operational excellence.
+ **Client Relationships** : Deliver "best in class" support to earn repeat business by ensuring timely and accurate reporting, forecasting, and invoicing. Act with urgency and respond to customers within 24 hours.
+ **Optimize Cash Flow** : Ensure cash neutrality with timely contract modifications and invoicing. Favourable SUA, SOW, and Contract Modification (Change Order) payment schedules, adhering to MSA advances, and ensuring adequate advances throughout the study.
+ **Manage Out of Scope (OOS)** : Keep past OOS below 2% of the executed contract value and review future OOS during Monthly finance reviews and proactively seek PL's input on accuracy and/or coverage. Track OOS using the tool and templates provided
+ **Forecast Accuracy** : Improve forecast accuracy for direct and indirect costs.
+ **Finance Reviews** : Host monthly finance reviews using designated tools.
+ **Month-End Compliance** : Adhere to month-end compliance, deadlines, and deliverables.
+ **Effective Tool Use** : Utilize the tool effectively to keep healthy study financials.
+ **Reduce Revenue Adjustments** : Minimize revenue adjustments and understand month-end drivers.
+ **Minimal Manual Adjustments** : Limit post month end manual adjustments.
+ Enhance pickup calculations for better forecast accuracy and adopt new tools.
+ **Process Improvements** : Identify and implement process improvements, optimizations, and automations.
+ **Financial Controls** : Drive excellence in internal financial controls, audit readiness, and reporting processes.
+ **Audit Readiness** : Be audit-ready 100% of the time and achieve zero findings in statutory, interim, and year-end audits.
+ **Issue Escalation** : Escalate issues like slow Contract Modifications, CNFs, Overspend escalation, and lack of response.
+ **Follow-Up** : Ensure action items are completed by Ops and stakeholders.
+ **Close Process** : Support the acceleration of the close process.
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
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.
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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.
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
Job Viewed
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.