business analyst

data operations analyst

research analyst

data analyst

JPMorganChase

<div>
 
 Job Description
 
 
 
 You are a strategic thinker passionate about driving solutions in Market Analytics &amp; Reporting. You have found the right team.
 
 
 As a Market Analytics &amp; Reporting Professional within our Market Analytics &amp; Reporting Team (MART), you will be responsible for setting and improving our organizational objectives, and ensuring their consistent accomplishment.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Analyze large datasets from various systems to derive meaningful insights.
 </li>
 <li>
 Manage BAU, ad-hoc tasks, and queries independently.
 </li>
 <li>
 Gather, understand, and document business requirements, including BRDs and Functional Specifications.
 </li>
 <li>
 Collaborate closely with the technology team to explain requirements and test developed solutions.
 </li>
 <li>
 Perform UAT in coordination with Operations Leads.
 </li>
 <li>
 Interact with other Tech teams for system inputs and enhancements.
 </li>
 <li>
 Manage projects end-to-end, ensuring quality output within timelines.
 </li>
 <li>
 Communicate progress to senior management and escalate issues timely.
 </li>
 <li>
 Liaise with global technology and operations teams for potential re-use.
 </li>
 <li>
 Adhere to key control, regulatory, and audit standards.
 </li>
 <li>
 Drive process improvement initiatives across regional and global projects.
 
 
 </li>
 </ul>
 
 Required Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Graduate or Post-Graduate with at least 6 years of experience in operations and MIS reporting.
 </li>
 <li>
 Proficient in data analysis, data mining, and system analysis.
 </li>
 <li>
 Experienced in UI technologies such as Qliksense or Tableau.
 </li>
 <li>
 Strong business knowledge in Investment Banking, including product, process, and system knowledge.
 </li>
 <li>
 Ability to think and act strategically, dealing with day-to-day issues and executing projects.
 </li>
 <li>
 Excellent attention to detail and ability to know when a deep-dive approach is appropriate.
 </li>
 <li>
 Ability to drive results through a "hands-on" approach.
 </li>
 <li>
 Excellent verbal and written communication skills.
 </li>
 <li>
 Skilled in MS Office applications, including Outlook, PowerPoint, Excel, Word, Access, and Project.
 </li>
 <li>
 Ability to operate effectively in a dynamic environment with tight deadlines.
 
 
 </li>
 </ul>
 
 Preferred Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Alteryx experience is a plus.
 </li>
 <li>
 Ability to understand and work on SQL.
 </li>
 <li>
 Good understanding of Software Development Lifecycle and Agile methodology.
 </li>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Flexibility to work global hours.
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
 
 
 We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
 
 
 
 About The Team
 
 
 
 J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
</div>

Data Operations Analyst

mCaffeine

<div>
 
 
 About us/Company overview:
 
 
 
 PEP is a dynamic personal care company that proudly houses two innovative brands &ndash;
 
 mCaffeine &amp; Hyphen
 
 . With a passion for creating high-performance, conscious, and consumer-loved products, we are redefining the way personal care is experienced. While mCaffeine is India&rsquo;s first caffeinated personal care brand, loved for its energizing and playful approach, Hyphen is built on the philosophy of simplifying skincare through science-backed formulations. Together, our brands reflect PEP&rsquo;s mission to deliver quality, creativity, and care to millions of consumers. We believe in Confidence over all skin &amp; body biases.
 
 
 
 
 
 
 Come, join the pack!
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 Business Analysts will collaborate with various departments and stakeholders to gather, document, and analyze business requirements, processes, and workflows. You will translate these requirements into functional specifications for technology teams and work closely with project managers, developers, and testers to ensure successful project delivery. They will also be involved in identifying areas for process improvement and recommending solutions to enhance operational efficiency and effectiveness.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Drive awareness of requirements across business units and identify substandard systems processes through evaluation of real-time data.
 </li>
 <li>
 Partner with stakeholders across business units (ex: sales, finance, security, compliance) to develop analyses and documentation collaboratively, communicating effectively and efficiently with production, managerial, and executive teams.
 </li>
 <li>
 Translate business requirements into clear and concise functional specifications for technical teams.
 </li>
 <li>
 Evaluate, analyze, and communicate systems requirements continuously, and maintain systems processes, including the delivery of monthly status reports to all appropriate parties
 </li>
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 Maintain accurate and up-to-date project documentation throughout the project lifecycle.
 </li>
 <li>
 Entrepreneurial self-starter - Take initiative, be proactive and resourceful, set and drive toward goals in a fast-paced, rapidly evolving environment.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Minimum 2-3 years of experience as an analyst
 </li>
 <li>
 Fluency in SQL, Python &amp; Excel.
 </li>
 <li>
 Good communication and organization skills
 </li>
 </ul>
 
 
 
 
 
 Social Media handles:
 
 
 
 Websites -
 
 https://www.mcaffeine.com/pages/about-us
 
 
 
 
 https://letshyphen.com/pages/about-us
 
 
 
 
 
 
 LinkedIn -
 
 https://www.linkedin.com/company/mcaffeine/mycompany/
 
 
 https://www.linkedin.com/company/letshyphen/
 
 
 
 
 
 
 Instagram -
 
 https://www.instagram.com/mcaffeineofficial/
 
 
 
 
 https://www.instagram.com/letshyphen
 
 
 
 
 
 
 
 Contact us:
 
 
 
 career@mcaffeine.com
 
 
 career@letshyphen.com
 
</div>

Business Analyst

Turing

<div>
 
 
 About the Role:
 
 
 
 Join us as an Research Analyst and help shape the future of large language models (like GPT). You&rsquo;ll work on fascinating analytical questions, research real-world scenarios, and create structured content that improves how AI understands and responds. No AI experience is required&mdash;just strong English skills, sharp reasoning, and curiosity.
 
 
 
 
 
 
 What You&rsquo;ll Do:
 
 
 <ul>
 <li>
 Read, analyze, and break down large content into smaller logical blocks.
 </li>
 <li>
 Validate claims and conduct online research to ensure accuracy.
 </li>
 <li>
 Create puzzles, scenarios, and tricky questions to train AI models.
 </li>
 <li>
 Provide clear, structured feedback to fine-tune responses
 </li>
 <li>
 Collaborate with global teams in a fully remote setup.
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 <ul>
 <li>
 Excellent English comprehension and writing skills.
 </li>
 <li>
 Strong analytical and creative problem-solving ability.
 </li>
 <li>
 Detail-oriented with good research and feedback skills.
 </li>
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 No AI experience required
 </li>
 <li>
 Bachelor&rsquo;s in Engineering, Literature, Journalism, Arts, Statistics&mdash;or relevant experience.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us:
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
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 Learn how advanced AI systems are trained.
 </li>
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 Be part of cutting-edge projects with top LLM companies.
 </li>
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 Potential for contract extension.
 </li>
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 Freelance perks: flexibility, global collaboration, and future-proof skills.
 </li>
 </ul>
 
 
 
 
 
 Offer Details:
 
 
 <ul>
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 Commitments Required: 40 hours per week with 4 hours of overlap with PST.
 </li>
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 Engagement type: Contractor assignment/freelancer (no medical/paid leave)
 </li>
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 Duration: 1 month.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 <ul>
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 Shortlisted candidates will be sent an automated challenge (60 mins).
 </li>
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 Once you clear the challenge, we will reach out to you for an interview.
 </li>
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 Once you clear the interview, you are ready to go!
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 </ul>
 
 
 
 
 
 About Turing:
 
 
 
 Turing, based in San Francisco, is the world&rsquo;s leading research accelerator for frontier AI labs and a trusted partner for global enterprises. We advance cutting-edge research with high-quality data, training pipelines, and top AI talent across coding, reasoning, STEM, multilinguality, multimodality, and agents. We also help enterprises turn AI from proof-of-concept into proprietary systems that deliver reliable performance, measurable impact, and real results on the P&amp;L.
 
 
 
 
 
 Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
 
</div>

Research Analyst

Morgan Stanley

<div>
 We&rsquo;re seeking someone to join our team as ETL Developer who will be responsible for analyze the requirement and develop the Database procedure (MS SQL Server) to meet the business requirement, support existing application, and collaborates with business Analyst to understand the business requirement, perform the analysis and implement it.
 
 
 In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a ETL Dev on the AI platform position at Associate level, which is part of data &amp; analytics Engineering job family that provides specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.
 
 
 Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
 
 
 
 What You&rsquo;ll Do In The Role
 
 
 
 <ul>
 <li>
 We are looking for highly motivated individuals who are ready to learn and grow.
 </li>
 <li>
 As a Software Engineer who will play a critical role in design and development of Informatica jobs to perform the data quality check to meet the business requirement.
 </li>
 <li>
 This role requires strong software engineering, design and development skills, and good problem-solving skills.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring To The Role
 
 
 
 <ul>
 <li>
 At least 2 years&rsquo; relevant experience would generally be expected to find the skills required for this role
 </li>
 <li>
 Analyzes complex Informatica mapping, designs and troubleshoots.
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 <li>
 Good experience in writing complex SQL/PLSQL.
 </li>
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 Good in database specially in SQL server, good to have Snowflake &amp; Hive knowledge.
 </li>
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 Good knowledge of Informatica Power Center &amp; IDQ.
 </li>
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 Good in data warehousing concept.
 </li>
 <li>
 Good Unix Scripting knowledge
 </li>
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 Performs new development, maintenance fixes and enhancements to meet business requirements
 </li>
 <li>
 Assists other teams to troubleshoot application issues in production, quality assurance and other environments
 </li>
 <li>
 Working experience in Agile model.
 </li>
 <li>
 Documents designs for system requirements
 
 
 </li>
 </ul>
 
 What You Can Expect From Morgan Stanley
 
 
 
 We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
 
 
 To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
 
 
 Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
</div>

ETL Developer_Associate_Data & Analytics Engineer

BNP Paribas

<div>
 
 About BNP Paribas Group
 
 
 
 
 BNP Paribas is a top-ranking bank in Europe with an international profile. It operates in 71 countries and has almost 199 000 employees
 
 . The Group ranks highly in its three core areas of activity: Domestic Markets and International Financial Services (whose retail banking networks and financial services are grouped together under Retail Banking &amp; Services) and Corporate &amp; Institutional Banking, centred on corporate and institutional clients. The Group helps all of its clients (retail, associations, businesses, SMEs, large corporates and institutional) to implement their projects by providing them with services in financing, investment, savings and protection. In its Corporate &amp; Institutional Banking and International Financial Services activities, BNP Paribas enjoys leading positions in Europe, a strong presence in the Americas and has a solid and fast-growing network in the Asia/Pacific region.
 
 
 
 About BNP Paribas India Solutions
 
 
 
 Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, a leading bank in Europe with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 6000 employees, to provide support and develop best-in-class solutions.
 
 
 
 About Business Line/Function
 
 
 
 GM Data &amp; AI Lab leverages the power of Machine Learning and Deep learning to drive innovation in various business lines. Our primary goal is to harness the potential of vast amounts of structured and unstructured data to improve our services and provide value. Today we are a team of around 40+ Data Scientists based in Paris, London, Frankfurt, Lisbon, New York, Singapore and Mumbai.
 
 
 
 Job Title
 
 
 
 Data Scientist (Quant Research)
 
 
 
 Date
 
 
 
 Department:
 
 
 Front Office Support
 
 
 Location:
 
 
 Mumbai
 
 
 
 Business Line / Function
 
 
 
 Global Markets &ndash; Data &amp; AI Lab
 
 
 
 Reports To
 
 
 
 (Direct)
 
 
 
 Grade
 
 
 
 (if applicable)
 
 
 (Functional)
 
 
 
 Number Of Direct Reports
 
 
 
 NA
 
 
 
 Directorship / Registration
 
 
 
 NA
 
 
 Position Purpose
 
 
 Your work will center on designing and deploying AI solutions for time series forecasting, financial modeling, anomaly detection and other Quant related usecases. We use AI to discover patterns, classify information, and predict likelihoods. Our team works on building, refining, testing, and deploying these models to support various business use cases, ultimately driving business value and innovation.
 
 
 As a Data Scientist on our team, you can expect to work on challenging projects, collaborate with stakeholders to identify business problems, and have the opportunity to learn and grow with our team. A typical day may involve working on model development, meeting with stakeholders to discuss project requirements/updates, and brainstorming/debugging with colleagues on various technical aspects.
 
 
 At the Lab, we're passionate about staying at the forefront of AI research, bridging the gap between research &amp; industry to drive innovation and to make a real impact on our businesses.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop and maintain AI models on time series &amp; financial date for predictive modelling, including data collection, analysis, feature engineering, model development, evaluation, backtesting and monitoring.
 </li>
 <li>
 Identify areas for model improvement through independent research and analysis, and develop recommendations for updates and enhancements.
 </li>
 <li>
 Working with expert colleagues, Quant and business representatives to examine the results and keep models grounded in reality.
 </li>
 <li>
 Documenting each step of the development and informing decision makers by presenting them options and results.
 </li>
 <li>
 Ensure the integrity and security of data.
 </li>
 <li>
 Provide support for production models delivered by the Mumbai team but potentially as well for other models to any of the Asian/EU/US time zones.
 
 
 </li>
 </ul>
 Technical &amp; Behavioral Competencies
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in a numeric subject with understanding of economics and markets (eg.: Economics with a speciality in Econometrics, Finance, Computer Science, Applied Maths, Engineering, Physics)
 </li>
 <li>
 Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning, Probability Theory and Linear Algebra.
 </li>
 <li>
 Knowledge of Monte Carlo Simulations, Bayesian modelling &amp; Causal Inference.
 </li>
 <li>
 Experience with Machine Learning &amp; Deep Learning concepts including data representations, neural network architectures, custom loss functions.
 </li>
 <li>
 Proven track record of building AI models on time-series &amp; financial data.
 </li>
 <li>
 Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, PyMC, statsmodels).
 </li>
 <li>
 Ability to write clear and concise code in python.
 </li>
 <li>
 Intellectually curious and willing to learn challenging concepts daily.
 
 
 </li>
 </ul>
 
 Skills Referential
 
 
 
 Behavioural Skills:
 
 
 Ability to collaborate / Teamwork
 
 
 Critical thinking
 
 
 Communication skills - oral &amp; written
 
 
 Attention to detail / rigor
 
 
 
 Transversal Skills
 
 
 
 Analytical Ability
 
 
 
 Education Level
 
 
 
 Bachelor Degree or equivalent
 
 
 Experience Level
 
 
 At least 2 years
</div>

Data Scientist (Quant Research) - GM Data & AI Lab

YES BANK

<div>
 
 
 About the Role
 
 
 
 Experience in handling SA portfolio, book growth, strategies to grow ETB/CIB book.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Analyzing portfolio parameters and deriving actionable insights.
 </li>
 <li>
 Basic knowledge of using data analytics tools &ndash; Tableau/SQL/Python for conducting data analysis.
 </li>
 <li>
 Implementation of strategies for increasing product penetration on existing and new accounts.
 </li>
 <li>
 Good knowledge of MS Excel, PPT.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 Experience in handling SA portfolio, book growth, strategies to grow ETB/CIB book.
 
 
 
 
 
 
 Preferred Skills
 
 
 
 Basic knowledge of using data analytics tools &ndash; Tableau/SQL/Python for conducting data analysis.
 
 
 
 
 
 
 Equal Opportunity Statement
 
 
 
 Include a statement on commitment to diversity and inclusivity.
 
 
 
</div>

Product Manager- Saving Account

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122 data analyst jobs IN Mumbai

Data Operations Analyst

Business Analyst

Research Analyst

ETL Developer_Associate_Data & Analytics Engineer

Data Scientist (Quant Research) - GM Data & AI Lab

Business Analyst

Product Manager- Saving Account