data scientist

data scientist - (risk analyst) Jobs in Chennai

data scientist - (risk analyst)

junior data scientist - work from home Jobs in Chennai

junior data scientist - work from home

senior data business analyst Jobs in Chennai

senior data business analyst

data scientist risk analyst

Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 Min Experience: 6 years
 
 
 JobType: full-time
 
 
 This role is responsible for leading a team of 6-8 data analysts to deliver high-quality descriptive and diagnostic analytics across multiple product lines and business functions. The position involves generating timely insights, supporting analytical decision-making, and driving automation for recurring reporting and stakeholder requirements. It also plays a key part in strengthening risk models and enhancing analytical capabilities across the organization.
 
 
 
 Requirements
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Lead a team of data analysts to produce accurate MIS reports, variance analyses, and actionable insights within defined timelines.
 </li>
 <li>
 Conduct descriptive and diagnostic analytics across product portfolios and business verticals including acquisitions, cross-sell, customer service, and collections.
 </li>
 <li>
 Support stakeholders with data extraction, data manipulation, and operational analytics needs.
 </li>
 <li>
 Identify reporting gaps and recurring analytical requirements to automate dashboards in Tableau.
 </li>
 <li>
 Replicate and scale insights and reporting processes across different products and functions.
 </li>
 <li>
 Collaborate with business teams and modelling teams to provide analytical inputs that sharpen and improve ML model performance and usage.
 </li>
 <li>
 Drive the design, development, and deployment of ML/DL models supporting underwriting, portfolio management, and risk assessment.
 </li>
 <li>
 Monitor and enhance credit risk frameworks including Expected Credit Loss (ECL), vintage analysis, delinquency analysis, and other risk measurement methodologies.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Experience: Minimum 8 years of experience in descriptive and diagnostic analytics within NBFC / BFSI or FinTech.
 </li>
 <li>
 Education: M.Tech / B.E / B.Tech / M.Sc in Computer Science, Statistics, Mathematics, or related field.
 </li>
 <li>
 Technical Expertise:
 </li>
 <ul>
 <li>
 Strong hands-on experience in SQL and Python.
 </li>
 <li>
 Proficiency in Tableau and Excel for dashboards, automation, and business insights.
 </li>
 <li>
 Experience with ML/DL model development and deployment.
 </li>
 </ul>
 <li>
 Risk Analytics Expertise:
 </li>
 <ul>
 <li>
 Credit risk modelling, portfolio monitoring, operational risk, and Expected Credit Loss (ECL).
 </li>
 <li>
 Time series forecasting, vintage and stress testing, simulations, and design of experiments.
 </li>
 <li>
 Delinquency analysis and On-Us / Off-Us analysis using credit bureau data.
 
 </li>
 </ul>
 </ul>
 
 
 Industry Exposure
 
 
 
 
 <ul>
 <li>
 BFSI (Banking, Financial Services &amp; Insurance)
 </li>
 <li>
 FinTech
 </li>
 </ul>
</div>

Data Scientist - (Risk Analyst)

Tata Elxsi

<div>
 
 
 Purpose of the role:
 
 
 
 As a Data Scientist, the person will be responsible for bringing a combination of mathematical rigor and innovative algorithm design to create recipes that extract relevant insights from billions of rows of data to meaningfully improve user experience.
 
 
 
 
 
 
 KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Collect, clean, and preprocess structured and unstructured data from various sources.
 </li>
 <li>
 Develop and implement machine learning models and statistical algorithms.
 </li>
 <li>
 Perform exploratory data analysis to identify trends, patterns, and anomalies.
 </li>
 <li>
 Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.
 </li>
 <li>
 Visualize data insights using tools like Tableau, Power BI, or matplotlib/seaborn.
 </li>
 <li>
 Communicate findings clearly to stakeholders through reports and presentations.
 </li>
 <li>
 Continuously improve data processes and model performance.
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 Graduate degree or Phd in the following areas: Statistics, Data Science, Computer Science or relevant science or engineering discipline.
 </li>
 <li>
 Machine learning, data science skills with strong programming background in python.
 </li>
 <li>
 5+ years of experience with common data science toolkits, such as scikit-learn, R, etc. Excellence in at least one of these is highly desirable.
 </li>
 <li>
 Great communication skills.
 </li>
 <li>
 Good Analytical skills
 </li>
 <li>
 Data-oriented personality
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Competencies:
 
 
 
 
 Must Have:
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 scikit-learn, TensorFlow, or PyTorch.
 </li>
 <li>
 Spark, Hadoop, Kafka,
 </li>
 <li>
 AWS/ Azure/ Google Cloud
 </li>
 </ul>
 
 
 Good to Have
 
 
 <ul>
 <li>
 Spark (AWS EMR, Databricks), AWS Lambda
 </li>
 <li>
 Spark Streaming and Batch
 </li>
 <li>
 Avro, Parquet
 </li>
 <li>
 Stream Data Platforms: AWS Kinesis
 </li>
 <li>
 MySQL, Cassandra, HBase, MongoDB, RDBMS
 </li>
 <li>
 Caching Frameworks(ElasticCache/Redis)
 </li>
 <li>
 Elasticsearch, Beats, Logstash, Kibana
 </li>
 <li>
 Java, Scala, Go, R
 </li>
 <li>
 Git, Maven, Gradle, Jenkins
 </li>
 <li>
 Rancher, Puppet, Concourse, Docker, Ansible, Kubernetes
 </li>
 <li>
 Linux
 </li>
 <li>
 Presto, Athena
 </li>
 <li>
 Keras, Pandas)
 </li>
 <li>
 Visualization suite (AWS Quicksight, Grafana)
 </li>
 </ul>
</div>

Data Scientist

<div>
 
 Before you apply to a job, select your language preference from the options available at the top right of this page.
 
 
 
 Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow&mdash;people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
 
 
 
 Job Description
 
 
 
 
 DATA SCIENTIST
 
 
 
 
 Job Summary
 
 
 
 This
 
 Data Scientist
 
 creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Defines key data sources from UPS and external sources to deliver models.
 </li>
 <li>
 Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems.
 </li>
 <li>
 For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts.
 </li>
 <li>
 Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs.
 </li>
 <li>
 Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives.
 </li>
 <li>
 Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling.
 </li>
 <li>
 Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders.
 </li>
 <li>
 Presents operationalized analytic findings and provides recommendations.
 </li>
 <li>
 Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction.
 </li>
 <li>
 Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Expertise in R, SQL, Python and/or any other high-level languages.
 </li>
 <li>
 Exploratory data analysis (EDA), data engineering and development of advanced analytics models.
 </li>
 <li>
 Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras.
 </li>
 <li>
 Experience applying models from small to medium scaled problems.
 </li>
 <li>
 Strong analytical skills and attention to detail.
 </li>
 <li>
 Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach.
 </li>
 <li>
 Expertise with statistical techniques, machine learning, and/or operations research and their application in business.
 </li>
 <li>
 Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production.
 </li>
 <li>
 Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows.
 </li>
 <li>
 Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.
 </li>
 <li>
 Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains.
 </li>
 <li>
 Familiarity with Java or C++ is a plus.
 </li>
 <li>
 Solid oral and written communication skills, especially around analytical concepts and methods.
 </li>
 <li>
 Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences.
 </li>
 <li>
 Master&rsquo;s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
 
 
 </li>
 </ul>
 
 Last Day Posted - 2/25/2024
 
 
 
 
 Employee Type
 
 
 
 Permanent
 
 
 UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
</div>

NeerInfo Solutions

<div>
 
 
 Location
 
 : Chennai, Pune, Bangalore, Hyderabad
 
 
 
 Notice Period
 
 : Immediate to 90 days
 
 
 
 Years of Experience
 
 : 4 to 14 Years
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 Domain
 
 
 
 
 &bull; Capital Markets, Investment Banking, Asset &amp; Wealth Management, Securities Services, Trading, Clearing &amp; Settlement
 
 
 &bull; Brokerage, Advisory, Portfolio Management, Cash Management, Corporate Actions, Securities lending and Borrowing, Collateral Management, Asset Servicing, Margining/Risk management
 
 
 &bull; Equities, Bonds (Fixed Income), Mutual Funds, Derivatives (Futures &amp; Options)
 
 
 
 
 SDLC skills
 
 
 
 
 &bull; Product Owner (PO) / Business Analyst (BA) responsible for owning the backlog.
 
 
 &bull; Work closely with the Product Lead and Technology Owner on prioritizing, creating and refining the backlog.
 
 
 &bull; Well versed in Requirement Elicitation, Prioritization, understanding the Scope, Gap Analysis, Stakeholder analysis &amp; Management, Sprint Planning, Sprint Review, Product Backlog Management.
 
 
 &bull; Proficient at story writing to support both business and technical requirements to support feature development, Production stability, security and resiliency requirements.
 
 
 &bull; Proficient in creating Business Requirement Document, Functional Requirement Document, Use Case specification Document, Workflows, Implementation guides.
 
 
 &bull; Testing and accepting stories
 
 
 &bull; Possess a complete understanding of SDLC processes and Agile/ Waterfall methodologies.
 
 
 
</div>

Business Analyst/Product Owner-Capital Market

ClinicMind

<div>
 ClinicMind is a leading healthcare SaaS platform that helps providers improve their practice financial performance, drive sustainable growth, and enhance patient care with integrated EHR, RCM, and Patient Engagement automation and excellent service solutions. outcomes, and maximizes revenue cycle efficiency.
 
 
 
 Position Summary
 
 
 
 The Junior Data Scientist will support the Data Science team in analyzing data, creating visual insights, and maintaining scalable data workflows using Amazon QuickSight and Amazon Redshift. This role is ideal for an entry-level candidate passionate about analytics, cloud data tools, and supporting data-driven business decisions.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Data Management &amp; Preparation
 </li>
 <li>
 Extract, clean, and manage datasets within Amazon Redshift and related AWS data sources.
 </li>
 <li>
 Ensure data quality, consistency, and completeness for downstream analytics.
 </li>
 <li>
 Visualization &amp; Reporting
 </li>
 <li>
 Build and maintain Amazon QuickSight dashboards to communicate trends, KPIs, and actionable insights.
 </li>
 <li>
 Automate recurring reporting workflows and enhance dashboard interactivity.
 </li>
 <li>
 Data Analysis &amp; Insights
 </li>
 <li>
 Conduct exploratory data analysis (EDA) to uncover trends and patterns.
 </li>
 <li>
 Support business teams by generating ad-hoc analyses and presenting insights clearly.
 </li>
 <li>
 Collaboration &amp; Support
 </li>
 <li>
 Work closely with the Data Science Team Lead and cross-functional teams (Operations, Product, and Engineering).
 </li>
 <li>
 Participate in sprint reviews, data validation, and stakeholder discussions.
 </li>
 <li>
 Continuous Learning &amp; Innovation
 </li>
 <li>
 Stay up to date on AWS analytics services, BI tools, and data visualization best practices.
 </li>
 <li>
 Contribute new ideas for improving efficiency, visualization design, and automation.
 
 
 </li>
 </ul>
 
 Skills And Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Analytics, or related field.
 </li>
 <li>
 Hands-on experience with Amazon QuickSight for dashboarding and reporting.
 </li>
 <li>
 Understanding of Amazon Redshift (queries, schemas, joins, and data pipelines).
 </li>
 <li>
 Knowledge of SQL for data extraction and transformation.
 </li>
 <li>
 Basic exposure to Python or R (optional but desirable).
 </li>
 <li>
 Strong analytical mindset and attention to detail.
 </li>
 <li>
 Good communication and presentation skills.
 
 
 </li>
 </ul>
 
 Preferred Certifications
 
 
 
 <ul>
 <li>
 AWS Certified Data Analytics
 </li>
 <li>
 Amazon QuickSight Author Certification
 </li>
 <li>
 AWS Cloud Practitioner or Practitioner Essentials
 
 
 </li>
 </ul>
 Must Have
 
 
 <ul>
 <li>
 Must have a stable internet connection minimum of 25 MBPS
 </li>
 <li>
 Must have a mobile data plan as a backup
 </li>
 <li>
 Must be in a quiet environment / work from home set-up
 </li>
 <li>
 Must be comfortable working the US Eastern Time business hours
 </li>
 <li>
 Minimum system requirement: Latest i5 with SSD hard disk (i7 preferred), 16 GB RAM (32 GB preferred)
 </li>
 </ul>
</div>

Junior Data Scientist - Work From Home

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 
 Senior Consultant Tax Technology Consulting - Sirion - CLM
 
 
 
 The role of technology in legal functions is growing exponentially and allowing legal departments to transform how they improve their processes, increase efficiencies and transform the future of legal services delivery. If you are someone who thrives in navigating the growing legal transformation through a technology lens and partnering with passionate professionals to help companies achieve their objectives; then we would like to get to know you. Apply now!
 
 
 
 What You&rsquo;ll Do
 
 
 
 As a Senior Consultant in Deloitte&rsquo;s Legal Business Services function, you will be a part of a team that provides an integrated approach to technology implementations, automation, data wrangling and document extraction and data management and analytics that help legal departments maximize the strategic value to the organization. You will deliver services for companies that streamline their process and increase efficiency, leveraging numerous applications.
 
 
 This is a unique opportunity for you to join a team as it expands and help us position Deloitte as the clear legal technology leader.
 
 
 As a Legal Business Services Senior Consultant, you will contribute to the growth and success of Deloitte Tax LLP in a variety of way, including:
 
 
 <ul>
 <li>
 Client Management : Participate in the day-to-day interactions with client&rsquo;s project team members and Deloitte project leadership members.
 </li>
 <li>
 Delivery : Work with a team to optimize tax and legal processes, leveraging technology to align tax and legal software with the clients&rsquo; specific requirements and goals.
 </li>
 <li>
 Solutions: Work with a team to develop and leverage automation and innovative solutions to aid in the efficiency of tax and legal departments.
 </li>
 <li>
 Support : Provide training and software support around day-to-day activities, related to processes and various technologies or situational changes.
 </li>
 <li>
 Project Management : Assist with project management tasks, such as creating workplans, tracking budgeted time to actual hours incurred, writing status reports, and actively participating in status calls.
 </li>
 <li>
 Cross Functional Teaming : Understand and articulate the broader practice and Deloitte overall. Maintain relationships and serve clients holistically.
 </li>
 <li>
 People Development : Participate in the development of team members.
 </li>
 <li>
 Business Development : Participate in and contribute to pursuit teams.
 
 
 </li>
 </ul>
 
 The team
 
 
 
 At Deloitte Tax LLP, our Legal Business Services (LBS) practice helps legal departments pursue a streamlined, transparent, and efficient legal function that enhances the core responsibilities of operations, contracting, compliance, reporting and planning, while also positioning Deloitte as a strategic business advisor for the digital era. We specialize in advising legal departments and can effectively address a corporate legal function&rsquo;s unique needs, requirements and obligations. As legal operations and contracting specialists, we help clients make appropriate operations and technology choices. Our team, the largest of its type, offers the necessary combination of skills, methodology and practical experience to help clients with contract lifecycle management, legal entity management, and legal operations services.
 
 
 Deloitte LBS professionals are aligned across our global network of member firms to support our clients&rsquo; objectives and address their challenges. Our team&rsquo;s multi-disciplinary approach combines technical and technology skillsets, enabling greater impact and efficiency within our client&rsquo;s organization. LBS helps clients with operating model evaluation, roadmap development for a desired future state, data management solutions, automation opportunities, contract lifecycle management, legal entity management, and legal operating models. Learn more about Deloitte Legal Business Services.
 
 
 
 Qualifications
 
 
 
 
 Required:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, Law, Information Technology, Computer Science, or a related field.
 </li>
 <li>
 6+ years of experience in CLM platform implementation, business process consulting, or technology advisory, with hands-on exposure to one or more leading CLM solutions (e.g., Icertis, DocuSign, Ironclad, SirionLabs, Conga, Agiloft, etc.).
 </li>
 <li>
 Trained and certified on Sirion Platform (Sirion L1, L2, L3 trained &amp; Certified, Sirion Certified CLM Specialist), At least 1-2 years of Sirion implementation experience for Global organizations.
 </li>
 <li>
 Demonstrated experience leading end-to-end CLM implementation projects, including facilitating client workshops, conducting stakeholder interviews, process mapping, solution designing, configuration, testing, deployment, and post-go-live support.
 </li>
 <li>
 Proven ability to manage project teams, coordinate deliverables, and mentor junior consultants.
 </li>
 <li>
 Experience with system integrations within CLM platforms (e.g., SSO, eSignature, ServiceNow, Salesforce)
 </li>
 <li>
 In-depth knowledge of contract management processes, template rationalization, playbook creation, and process harmonization.
 </li>
 <li>
 Experience implementing and driving value from advanced AI modules, including agentic and autonomous capabilities, within major CLM platforms.
 </li>
 <li>
 Familiarity with vendor selection processes, including RFP/RFI development, evaluation criteria, and comparative analysis of CLM platforms.
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to resolve complex business and technical challenges and develop innovative solutions.
 </li>
 <li>
 Excellent client-facing, verbal, and written communication skills, including experience presenting to executive stakeholders.
 </li>
 <li>
 Strong project management and organizational skills, with a relentless focus on quality and timely delivery of work products.
 </li>
 <li>
 Ability to work collaboratively within a matrixed, multi-disciplinary team and across multiple time zones.
 </li>
 <li>
 Ability to perform job responsibilities within a hybrid work model that requires professionals to co-locate in person 2-3 days per week in respective office locations.
 </li>
 <li>
 Willingness to travel for client engagements as required.
 
 
 </li>
 </ul>
 
 Preferred:
 
 
 
 <ul>
 <li>
 Experience supporting legal teams or procurement teams with contract management
 </li>
 <li>
 Experience with document extraction tools, data wrangling tools such as Alteryx, and visualization/BI tools such as Power BI, Tableau or QlikView and others
 </li>
 <li>
 One of the following active accreditations obtained, in process, or willing and able to obtain:
 </li>
 <li>
 Licensed CPA in state of practice/primary office if eligible to sit for the CPA
 </li>
 <li>
 If not CPA eligible:
 </li>
 <ul>
 <li>
 Licensed Attorney (or foreign equivalent)
 </li>
 <li>
 Enrolled Agent
 </li>
 <li>
 PMP (Project Management Certification)
 </li>
 <li>
 Contract &amp; Commercial Management (CCM) Certification Program
 </li>
 <li>
 Certified Financial Analyst (CFA)
 </li>
 <li>
 PMI Agile Certified Practitioner (Project Management Institute-ACP)
 </li>
 <li>
 Certified Change Management Professional (CCMP)
 </li>
 <li>
 Certified Business Analysis Professional (CBAP)
 </li>
 <li>
 Procurement/Legal Procurement or SAS&reg; Certified Data Scientist
 </li>
 <li>
 Paralegal Certification with a 4-year degree
 </li>
 <li>
 Technical Certifications:
 </li>
 <ul>
 <li>
 Six Sigma (Black Belt and Green Belt)
 </li>
 <li>
 Microsoft Certified Solutions Developer (MCSD) Contract &amp; Commercial Management (CCM) Certification Program, PMI Agile Certified Practitioner (Project Management Institute-ACP)
 </li>
 <li>
 Certified Systems Engineering Professional (CSEP)
 </li>
 <li>
 The Information Systems Security
 </li>
 <li>
 Architecture Professional (CISSP-ISSAP)
 </li>
 <li>
 Certified Change Management Professional (CCMP) or SAS&reg; Certified Data Scientist
 </li>
 <li>
 DocuSign (Workflow Manager, E-signature, CLM, etc.)
 </li>
 <li>
 iCertis
 </li>
 <li>
 Onit Product Suite (Level 2 and above)
 </li>
 <li>
 Conga CLM
 </li>
 <li>
 Agiloft
 </li>
 <li>
 Sirion Labs
 </li>
 <li>
 Kira
 </li>
 <li>
 Thomson Reuters (Legal Tracker, High Q, or Contract Express),
 </li>
 <li>
 Wolters Kluwer Passport (Passport Legal Spend and Matter Management),
 </li>
 <li>
 Mitratech Team Connect and TAP
 
 </li>
 </ul>
 </ul>
 </ul>
 
 Our purpose
 
 
 
 Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
 
 
 
 Our people and culture
 
 
 
 Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
 
 
 
 Professional development
 
 
 
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 
 
 
 Benefits To Help You Thrive
 
 
 
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 
 
 
 Recruiting tips
 
 
 
 From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
 
 
 Requisition code: 318197
</div>

Senior Consultant - Tax-TTC- Sirion - Hyderabad/Bengaluru/Gurugram/Pune/Chennai/Mumbai/Kolkata

MetaMorph

<div>
 
 
 Product Analyst &ndash; Job Description
 
 
 
 
 
 
 
 Job brief
 
 
 
 We are seeking a highly analytical and detail-oriented Product Analyst to join our dynamic Product Management team. In this role, you will act as a bridge between business stakeholders, product managers, and engineering teams, translating business needs into clear, actionable requirements for product development. You will play a crucial role in shaping the future of our products by ensuring that solutions are well-defined, meet user needs, and align with strategic business objectives.
 
 
 
 
 
 
 Responsibilities
 
 
 
 Collaborate closely with product manager, business stakeholders (e.g., sales, marketing, operations, customer success), and end-users to identify, gather, and validate detailed business requirements.
 
 
 Translate high-level business needs into clear, concise, and unambiguous functional and non-functional requirements, user stories, use cases, process flows, and wireframes (as needed).
 
 
 Document requirements in a structured and organized manner.
 
 
 Contribute to the creation of product roadmaps and feature prioritization by providing data-driven insights and impact analysis.
 
 
 Facilitate effective communication and understanding of requirements across all teams.
 
 
 Manage stakeholder expectations and resolve conflicts related to requirements and scope throughout the product development lifecycle.
 
 
 Assist in the creation of training materials and documentation for new product features.
 
 
 Monitor KPIs defined and prepare reports for the stakeholders to track progress and outcomes.
 
 
 
 
 
 
 Requirements and skills
 
 
 
 Strong analytical and problem-solving skills, with the ability to break down complex problems into manageable components.
 
 
 Good communication skills with the ability to articulate complex concepts clearly and concisely to both technical and non-technical audiences
 
 
 Strong attention to detail and organizational skills along with the ability to work independently and as part of a collaborative team in a fast-paced environment
 
 
 Familiarity with Agile methodologies and product management tools (e.g., JIRA)
 
 
 Familiarity with data analysis and reporting tools (e.g., SQL, Excel, Tableau, Power BI) is a plus.
 
 
 Bachelor's degree (Open for Freshers)
 
 
 
 
 
 
 Preferred Skills:
 
 
 
 Experience working in a Fintech product, preferably within a product-centric environment or working directly with the product management team.
 
 
 Knowledge of Insurance domain
 
 
 Understanding of APIs and system integrations.
 
</div>

Product Analyst I Chennai I Insurance

Explore 53+ Data scientist risk analyst in Chennai this December. Find roles across top companies and apply now to boost your career.

53 data scientist risk analyst jobs IN Chennai

Data Scientist - (Risk Analyst)

Data Scientist

Data Scientist

Business Analyst/Product Owner-Capital Market

Junior Data Scientist - Work From Home

Senior Consultant - Tax-TTC- Sirion - Hyderabad/Bengaluru/Gurugram/Pune/Chennai/Mumbai/Kolkata

Product Analyst I Chennai I Insurance