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associate - business analyst-back office-finance & accounting Jobs in Mangaluru India

associate - business analyst-back office-finance & accounting

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analyst - finance Jobs in Mangaluru India

analyst - finance

associate financial analyst data analyst

Myntra

<div>
 
 
 About The Company
 
 
 
 
 
 Who are we?
 
 
 
 Myntra is India&rsquo;s leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e-commerce, we&rsquo;ve always believed in disrupting the ordinary.
 
 
 We thrive on a shared passion for fashion, a drive to innovate to lead, and an environment that empowers each one of us to pave our own way. We&rsquo;re bold in our thinking, agile in our execution, and collaborative in spirit.
 
 
 Here, we create MAGIC by inspiring vibrant and joyous self-expression and expanding fashion possibilities for India, while staying true to what we believe in.
 
 
 We believe in taking bold bets and changing the fashion landscape of India. We are a company that is constantly evolving into newer and better forms and we look for people who are ready to evolve with us.
 
 
 From our humble beginnings as a customization company in 2007 to being technology and fashion pioneers today, Myntra is going places and we want you to take part in this journey with us.
 
 
 Working at Myntra is challenging but fun - we are a young and dynamic team, firm believers in meritocracy, believe in equal opportunity, encourage intellectual curiosity and empower our teams with the right tools, space, and opportunities.
 
 
 
 
 About The Role:
 
 
 
 
 We are seeking a highly skilled and proactive Financial Data Analyst/BI Specialist to drive our financial reporting and process efficiency. The ideal candidate will be an expert in data manipulation (SQL, Python/Pandas), proficient in BI tools (QlikView), and possess a strong understanding of financial reporting principles. This role is critical for delivering accurate, timely, and insightful reports, and for automating key data processes.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Reporting &amp; Dashboard Delivery
 </li>
 <li>
 Design and deliver high-impact financial dashboards and reports using QlikView to meet business requirements
 </li>
 <li>
 Provide recommendations and analytical insights to the finance team and stakeholders based on reporting data
 </li>
 <li>
 Manage the full lifecycle of reporting, including gathering requirements, development, testing, and deployment
 </li>
 <li>
 Lead the implementation of functionality changes and enhancements to existing reports and dashboards
 </li>
 <li>
 Data Management &amp; Validation
 </li>
 <li>
 Utilize Advanced SQL to query, extract, and transform large, complex financial datasets from source systems
 </li>
 <li>
 Employ Python and Pandas for advanced data manipulation, aggregation, reconciliation, and complex financial calculations
 </li>
 <li>
 Rigorously validate the accuracy and integrity of new and modified reports against source data and financial standards
 </li>
 <li>
 Ensure all reports comply with financial reporting understanding and established accounting principles
 </li>
 <li>
 Process Improvement &amp; Automation
 </li>
 <li>
 Identify opportunities for efficiency and execute initiatives for process automation across the financial reporting workflow
 </li>
 <li>
 Develop and maintain scripts (primarily using Python) to automate routine data extraction, transformation, and validation tasks
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Data &amp; Programming
 </li>
 <li>
 Advanced SQL (writing complex queries, stored procedures, performance tuning)
 </li>
 <li>
 Expertise in Python with the Pandas library for data analysis and manipulation
 </li>
 <li>
 Business Intelligence
 </li>
 <li>
 Strong proficiency and hands-on experience with QlikView (dashboard design, scripting, maintenance).
 </li>
 <li>
 Domain Knowledge
 </li>
 <li>
 Good understanding of Financial Reporting
 </li>
 <li>
 Soft Skills
 </li>
 <li>
 Quick in grasping the requirements and translating them into technical specifications and actionable insights
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Finance, Accounting, Data Science, Information Technology, or a related field
 </li>
 <li>
 Prior experience in a financial services or corporate finance environment
 
 
 </li>
 </ul>
 
 
 Required Skills
 
 
 
 
 data analysis, data visualization tools, problem solving skills, advanced excel, sql, python
 
 
 
 
 Required Education
 
 
 
 
 B.Tech
</div>

Associate - Financial Analyst (Data Analyst)

Turing

<div>
 
 
 About Turing:
 
 
 
 Turing is one of the world&rsquo;s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.
 
 
 
 
 
 Turing helps customers in two ways: Working with the world&rsquo;s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.
 
 
 
 
 
 
 Role Overview:
 
 
 
 In this role, you will be working on projects to help fine-tune large language models (like ChatGPT) using your strong finance background, analytical thinking and English comprehension skills. The ideal candidate should have the ability to read, summarize, and break down large financial content into smaller logical blocks, conduct research online, validate claims made in content through online research, and work with the LLM (Large Language Models) to solve puzzles! The projects will also help you learn how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world!
 
 
 
 
 
 
 What You'll Do Day-to-Day:
 
 
 <ul>
 <li>
 Solve complex financial and logical reasoning problems that test and train LLMs.
 </li>
 <li>
 Analyze financial statements, models, and business scenarios to assess accuracy and factual consistency.
 </li>
 <li>
 Summarize financial reports or investment theses and validate claims through online research.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Qualification: Cleared CFA Level 1/2/3, or or have completed their CA / CPA certification or completed their MBA in Finance.
 </li>
 <li>
 Strong understanding of financial concepts, accounting principles, and investment analysis.
 </li>
 <li>
 Analytical mindset with the ability to research, verify, and reason logically.
 </li>
 <li>
 Excellent English comprehension and communication skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience in roles such as: Financial Analyst, Financial Writer, Investment Analyst, Audit Associate, etc.
 </li>
 <li>
 Familiarity with tools like Excel, Google Sheets, and financial modeling.
 </li>
 <li>
 Proficiency in quantitative reasoning, logical deduction, and data interpretation.
 </li>
 </ul>
 
 
 
 
 
 Perks of Freelancing with Turing:
 
 
 <ul>
 <li>
 Work on the cutting edge of AI and finance.
 </li>
 <li>
 Fully remote and flexible work environment.
 </li>
 <li>
 Exposure to advanced LLMs and insight into how they&rsquo;re trained.
 </li>
 </ul>
 
 
 
 
 
 Evaluation Process:
 
 
 <ul>
 <li>
 Shortlisted experts may be asked to complete an assessment.
 </li>
 <li>
 If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
 </li>
 <li>
 Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.
 </li>
 </ul>
 
 
 
 
 Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
 
</div>

Finance & Research Analyst

Business Analyst (Finance)

WNS-Vuram

<div>
 
 
 Job Title:
 
 Business Analyst &ndash; Low Code Platform
 
 
 
 Experience:
 
 5&ndash;10 Years
 
 
 
 Location:
 
 Bengaluru
 
 
 
 Employment Type:
 
 Full-time
 
 
 
 Job Summary
 
 
 
 We are looking for a Business Analyst with experience in low-code platforms (Appian / Mendix / OutSystems / PowerApps, etc.) to gather business requirements, translate them into functional specifications, and work closely with development teams to deliver scalable low-code solutions.
 
 
 
 Key Responsibilities
 
 
 
 
 Requirement Gathering &amp; Analysis
 
 
 <ul>
 <li>
 Interact with business stakeholders to understand and document business requirements, processes, and workflows.
 </li>
 <li>
 Analyze existing systems and identify areas for automation or optimization through low-code solutions.
 </li>
 <li>
 Convert business requirements into detailed
 
 Functional Specifications
 
 ,
 
 User Stories
 
 , and
 
 Acceptance Criteria
 
 .
 </li>
 </ul>
 
 
 Low-Code Solution Design
 
 
 <ul>
 <li>
 Collaborate with low-code development teams to design process models, data models, and application workflows.
 </li>
 <li>
 Assist in creating wireframes, mockups, and prototypes on low-code tools.
 </li>
 <li>
 Validate feasibility of requirements within low-code platform capabilities.
 </li>
 </ul>
 
 
 Project Collaboration
 
 
 <ul>
 <li>
 Act as a bridge between business users and technical teams.
 </li>
 <li>
 Participate in sprint planning, backlog grooming, and reviews in an Agile environment.
 </li>
 <li>
 Provide clarifications to developers and ensure accurate implementation of requirements.
 </li>
 </ul>
 
 
 Testing &amp; Quality Assurance
 
 
 <ul>
 <li>
 Develop test scenarios and perform functional, UAT, and regression testing.
 </li>
 <li>
 Work with users to ensure smooth User Acceptance Testing and sign-off.
 </li>
 <li>
 Validate that delivered solutions meet business objectives and compliance standards.
 </li>
 </ul>
 
 
 Documentation
 
 
 <ul>
 <li>
 Prepare BRDs, FRDs, process flows, SOPs, and release documentation.
 </li>
 <li>
 Maintain requirement traceability throughout the project lifecycle.
 </li>
 </ul>
 
 
 Stakeholder Management
 
 
 <ul>
 <li>
 Communicate project progress, risks, and dependencies to business and technical stakeholders.
 </li>
 <li>
 Support change management and end-user training initiatives.
 </li>
 </ul>
 
 
 Required Skills
 
 
 <ul>
 <li>
 Strong experience as a
 
 Business Analyst
 
 in low-code platforms (Appian / Mendix / OutSystems / PowerApps).
 </li>
 <li>
 Solid understanding of BPMN, workflow automation, and process re-engineering.
 </li>
 <li>
 Hands-on experience writing
 
 User Stories
 
 ,
 
 Use Cases
 
 ,
 
 Process Flow Diagrams
 
 , and
 
 Functional Specs
 
 .
 </li>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Experience working in Agile/Scrum environments.
 </li>
 <li>
 Excellent communication and stakeholder-management skills.
 </li>
 </ul>
 
 
 Good to Have
 
 
 <ul>
 <li>
 Low-code platform certification (Appian Analyst / Mendix Rapid Developer / OutSystems Associate, etc.).
 </li>
 <li>
 Experience with SQL basics and API integrations.
 </li>
 <li>
 Exposure to RPA, BPM, or digital transformation projects.
 </li>
 </ul>
 
 
</div>

Business Analyst

Chevron

<div>
 
 About The Position
 
 
 
 A Data Analyst is responsible for gathering, analyzing and problem solving as it relates to data, types of data, and relationships among data elements within a business system or IT system and with business domain expertise. A Data Analyst provides expertise on how Business workflows map to data, and how data can be integrated to build reusable data products. A Data analyst will serve as a subject matter expert for delivery teams.
 
 
 The Data Analyst will support the analysis and visualization of data to provide valuable insights that drive business decisions. This role requires a strong understanding of data processing, reporting, and visualization tools, as well as a good working knowledge of Microsoft Azure Services and Power Platform. The ideal candidate will have hands-on experience with data modeling, creating dashboards, and leveraging cloud technologies for data management.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Analyze data to extract meaningful insights, trends, and patterns that can support decision-making across the organization.
 </li>
 <li>
 Develop and maintain dashboards and visualizations using Power BI, Spotfire, and Tableau to present data insights in an easy-to-understand format for stakeholders.
 </li>
 <li>
 Work with Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database to store, transform, and retrieve data efficiently.
 </li>
 <li>
 Assist in data preparation, cleaning, and integration activities for analysis, ensuring high data quality.
 </li>
 <li>
 Collaborate with data engineers, business stakeholders, and IT teams to understand data requirements and contribute to the delivery of data-driven solutions.
 </li>
 <li>
 Leverage Power Platform tools to automate tasks, create workflows, and enhance data analysis processes.
 </li>
 <li>
 Provide support for ongoing analysis and maintain documentation for data processes, reports, and dashboards.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Experience: Overall 2-4 years of experience with 2 years of proven experience in data analysis, data visualization, or related fields.
 </li>
 <li>
 Bachelor's degree in Data Analytics, Computer Science, Statistics, or a related field (or equivalent experience).
 </li>
 <li>
 0-5 years experience
 </li>
 <li>
 Technical Skills:
 </li>
 <li>
 Proficiency in Microsoft Azure services, including Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database.
 </li>
 <li>
 Experience in data visualization tools such as Power BI, Spotfire, and Tableau.
 </li>
 <li>
 Strong skills in data manipulation and transformation using SQL.
 </li>
 <li>
 Familiarity with the Microsoft Power Platform, including Power Apps, Power Automate, and Power BI.
 </li>
 <li>
 Proficiency in data visualization tools such as Power BI, Spotfire, Tableau. Data modeling techniques, data fluency and governance.
 </li>
 <li>
 Proficiency in Oil &amp; gas workflows and data types
 </li>
 <li>
 Data Analysis: Understanding of data analysis concepts and experience in data modeling and building insightful reports.
 </li>
 <li>
 Problem Solving: Strong analytical and problem-solving skills, with attention to detail.
 </li>
 <li>
 Communication Skills: Ability to communicate complex data findings in a clear and concise manner to non-technical stakeholders.
 </li>
 <li>
 Team Collaboration: Ability to work effectively as part of a team, sharing knowledge, and supporting other team members.
 </li>
 <li>
 Excellent communication and collaboration skills with demonstrated ability to build trusted working relationships with remote peers and stakeholders (internal &amp; external parties) across global teams and time zones.
 </li>
 <li>
 Strong knowledge of Microsoft Azure Services &amp; Power Platform, including Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database.
 </li>
 <li>
 Experience with SQL and data querying languages.
 </li>
 <li>
 Experience with Python for data wrangling.
 </li>
 <li>
 Strong analytical and problem-solving skills with attention to detail and accuracy
 </li>
 <li>
 Fundamental knowledge of Information Risk Management (IRM).
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Microsoft Power BI Data Analyst certification (PL-300)
 </li>
 <li>
 Ability to discover and prepare datasets into clean, understandable, usable, datasets for data analysis.
 </li>
 <li>
 Cloud Certifications: Certifications in Microsoft Azure (e.g., Azure Data Fundamentals, Azure Data Engineer Associate) are preferred.
 </li>
 <li>
 Experience with ETL Tools: Exposure to ETL tools and data integration techniques.
 </li>
 <li>
 Advanced Analytics: Experience or knowledge of machine learning or advanced analytics is a plus.
 </li>
 <li>
 Scripting Languages: Basic understanding of scripting languages such as Python or R for data analysis.
 
 
 </li>
 </ul>
 Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00AM to 5:00PM or 1:30PM to 10:30PM.
</div>

Data Analyst

Goldman Sachs

<div>
 
 Job Description
 
 
 
 
 JOB DESCRIPTION
 
 
 
 Global Investment Research Division, Quantum &amp; Verification Analyst, Bangalore
 
 
 At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firm wide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
 
 
 
 Divisional Overview
 
 
 
 Global Investment Research division (GIR) delivers value-added research to clients in the equity, fixed income, currency and commodities markets and develops global client-focused research in economics, portfolio strategy, derivatives and equity and credit securities. Our clients use these insights and investment ideas to develop their strategies. GIR produces original, fundamental research and analysis of industries, companies and economies.
 
 
 Our research teams continually identify and analyses financial information, strategic issues and trends that affect companies, industries and markets on a regional and global scale.
 
 
 Global Investment Research: Quantum &amp; Verification
 
 
 Quantum &amp; Verification (Q&amp;V) analysts are responsible for verifying, monitoring, and analyzing company financial and operational data in GIR&rsquo;s proprietary database, Quantum. Q&amp;V analysts will also be involved in future enhancements to the Quantum database as well as other strategic initiatives of the GIR division. This role is essential to the division&rsquo;s data quality effort and will serve in a global capacity working closely with analyst teams and global research management.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Work closely with Equity Research Analyst teams globally to ensure/quality control:
 </li>
 <li>
 Link standardized contribution sheets to analysts&rsquo; financials models and review the quality of data ahead of initiations.
 </li>
 <li>
 Perform regular quality reviews of published Quantum data.
 </li>
 <li>
 Handle accounting questions and database related queries.
 </li>
 <li>
 Coordinate with other teams within Research:
 </li>
 <li>
 Collaborate with regional cross divisional teams on data collection efforts.
 </li>
 <li>
 Work with teams such as Engineering and Data Management to drive enhancements to Quantum.
 </li>
 <li>
 Responding requests from clients, Global Banking &amp; Markets division, and vendors:
 </li>
 <li>
 Handle requests for published analyst models from Sales and external clients.
 </li>
 <li>
 Manage and execute data feed requests from Sales/external clients while ensuring appropriate data quality controls are met.
 
 
 </li>
 </ul>
 
 Skills And Qualifications Required
 
 
 
 <ul>
 <li>
 Expertise in Accounting and Financial Statement Analysis: In-depth understanding of accounting principles and the ability to analyze complex financial statements.
 </li>
 <li>
 Proficiency in Company Filings: Well-versed with various company filings such as 10-K, 10-Q, and annual reports, sourced from platforms like the SEC and company investor relations websites.
 </li>
 <li>
 Excel Skills: Proficiency in Excel and familiarity with other Office applications for data handling and analysis.
 </li>
 <li>
 Preferred Coding Knowledge: While not mandatory, knowledge of Python and VBA is an advantage.
 </li>
 <li>
 Excellent Communication: Strong communication and interpersonal skills, crucial for effective collaboration and stakeholder engagement.
 </li>
 <li>
 Attention to Detail: Meticulous attention to detail and a high level of motivation to take responsibility and excel as a team player.
 </li>
 <li>
 Highly organized with the ability to prioritize and make decisions in a fast-paced environment.
 
 
 </li>
 </ul>
 Goldman Sachs is an equal opportunity employer. &copy; The Goldman Sachs Group, Inc., 2014. All rights reserved.
</div>

Global Investment Research-Bengaluru-Analyst-Research Analyst

Annalect India

<div>
 
 Location: Hyderabad, Chennai, Bangalore, Coimbatore
 
 
 
 
 
 Experience: 7-8 years
 
 
 
 
 
 Overview:
 
 
 
 
 
 We are an integral part of Omnicom Group, one of the largest media and advertising agencies holding companies in the world. Omnicom&rsquo;s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services. Our agency brands are consistently recognized as being among the world&rsquo;s creative best.
 
 
 
 
 
 Omnicom Global Solutions plays a key role for our group companies and global agencies by providing stellar products and services in areas of Creative Services, Technology, Marketing Science (data &amp; analytics), Market Research, Business Support Services, Media Solutions, Consulting &amp; Advisory Services. We are growing rapidly and looking for talented professionals like you to be part of this journey. Let us build this, together.
 
 
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Managing day-to-day technical relationships with top-tier ad agencies, brands, and media partners
 </li>
 <li>
 Prepping, launching, and maintaining technical aspects of all campaigns
 </li>
 <li>
 Finalize consideration sets, help Analyst/Sr. Analyst to craft RFPs and work with the team to review all proposals from publishers/vendors
 </li>
 <li>
 Lead and oversee Analyst/Sr. Analyst to ensure campaign readiness to launch, campaigns are executed with excellence and plans stay within approved budget
 </li>
 <li>
 Keep abreast of industry trends and assist in knowledge sharing across the team and agency
 </li>
 <li>
 Lead the creation of POVs where necessary of new opportunities and/or vendor updates along with the Manager
 </li>
 <li>
 Assist in reconciliation of discrepant billing issues
 </li>
 <li>
 Serve as an escalation point for Analyst/Senior Analyst to help troubleshoot operational issues
 </li>
 <li>
 Lead by example while developing, motivating, and coaching the Analyst /Senior Analyst.
 </li>
 </ul>
 
 
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 A full-time graduate degree (Mandatory)
 </li>
 <li>
 7 to 8 years of experience in digital campaign management and team supervision
 </li>
 <li>
 Excellent verbal and written communication abilities
 </li>
 <li>
 Attention to detail coupled with exceptional critical thinking and problem-solving skills
 </li>
 <li>
 Proficiency in Microsoft Excel, Word, and PowerPoint
 </li>
 <li>
 Familiarity with Prisma and third-party ad servers (e.g., CM 360, Adform, Flashtalking, etc.)
 </li>
 <li>
 Capability to multi-task, collaborate effectively with teams, and perform under pressure
 </li>
 <li>
 Outstanding time management skills
 </li>
 <li>
 Strong leadership abilities.
 </li>
 </ul>
 
 
</div>

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