24164 Data Analysis Jobs - Page 45

Description We are seeking a dynamic Business Development Executive to join our team in the IT hardware sector. The ideal candidate will be responsible for driving sales growth by identifying new business opportunities, building relationships with clients, and contributing to the overall success of the company. Responsibilities Identify and develop new business opportunities in the IT hardware sector. Build and maintain strong relationships with clients and partners. Conduct market research to understand industry trends and customer needs. Prepare and deliver presentations to potential clients. Collaborate with the sales and marketing teams to develop effective strategies. Negotiate contracts and close deals with clients. Achieve sales targets and contribute to the overall growth of the company. Skills and Qualifications 4-5 years of experience in business development or sales, preferably in the IT hardware industry. Strong understanding of IT hardware products and solutions. Excellent communication and interpersonal skills. Proficient in CRM software and Microsoft Office Suite. Ability to analyze market trends and customer requirements. Strong negotiation and closing skills. Self-motivated with a results-driven approach.

Data Quality (DQ) Observability Familiarity with cloud platforms and containerization technologies (Data Bricks). Proficiency in scripting and automation using languages such as Python, Excellent problem-solving skills with the ability to analyse complex issues and provide efficient solutions. Good communication skills and the ability to collaborate effectively across teams. Understanding of Agile and DevOps and GIT principles and their application in observability and monitoring contexts. Solid experience with instrumentation practices, including metrics, logging, and distributed tracing. E2E implementation. Right from requirement gathering and DQ design engaging with the Data Asset owners, development, and reporting. Development DQ rules with the help of Databricks Presentation of DQ results to the Data Asset Owners and other partners and work with them to build an action plan to improve the DQ results. Putting in place specific Data Improvement Plans Scale up the DQ framework to all the data assets and more. Ensure systems run efficiently, monitoring system performance and handle support in demanding environment. Handle the configuration of existing toolset for data quality, KPI system and Reporting. Proficiency in implementing and maintaining observability tools is a plus Qualifications And Experience Required Degree level education, preferably with overall 6-8 years of experience in SQL, Data warehousing and hands on Data Science Must be proficient and have experience in Data Science related technologies. Strong Python/ PySpark and SQL development skills Experience in Azure Databricks Agile development methodology using DevOps and GIT repos. Experience with Big Data tools and Cloud environment, especially Azure is a big plus. Expertise in converting Functional requirements to technical solutions and present in the business context. Experience in working with Hub and Spoke model data lakes, preferably with Diageo context is a big plus. Keeping pace with IT trends, innovation, and new developments in technology space Good Communication Skills required

Key Responsibilities Data, Analytics and Reporting: Development and maintenance of sales analytics dashboards and reports (like Direct Sales, Market share, Secondary sales, SOH, Sales Incentive, Execution performance etc) to provide insights into sales performance, trends, and opportunities enabling decision making at various levels by key stakeholders ranging from Excom members to Field sales teams. Customer segmentation, identifying opportunities and targeting using advanced analytics and providing actionable recommendations to sales leadership. Provide analytical support for sales planning, forecasting, and territory management to optimize sales performance and drive revenue growth. Collaborate with cross-functional teams to gather D&A requirements and ensure alignment on reporting metrics and KPIs. Supporting the business in the transition of its data into an enterprise data warehouse. Problem solving/Troubleshooting/RCA related to data, reports, processes and tools Capability development of the team to support business with ever growing demand of high value adding insights & analysis and data driven decision making Sales Operations & Strategy Support: Partner with sales leadership to develop and implement sales strategies, initiatives & processes aligned with business objectives. Find opportunities for process optimization and automation to drive productivity and efficiency. Customer Engagement: Lead and handle sales operations and analytics projects from initiation to completion, ensuring timely delivery and quality outcomes. Collaborate with partners across the organization, including sales, marketing, finance, and IT, to gather requirements and drive cross-functional initiatives. Problem solving/Troubleshooting across data, reports, processes and tool. Qualifications And Experience Required Engineering or Finance graduate plus MBA from reputed institutes is preferable. 8-10 years of tried experience in sales operations, sales analytics, or related roles, with demonstrated leadership experience. Strong business partnering skills with desire to make a difference beyond the own team and function. Strong analytical skills and proficiency in data analysis tools and techniques. Strong commercial drive and commercial curiosity Ability to operate in a fast paced environment and deal with ambiguity Strong at problem-solving, planning and organizing, highly detail conscious Quick learner who exhibits resiliency and tenacity in the face of challenges Can build powerful relationships and work collaboratively within a team and with a variety of partners across Sales, Marketing, Finance & IT teams, both on and offshore Demonstrates excellent communication skills both written and verbal Understanding of drivers of performance within FMCG or Retail Volume, Price, Mix and Distribution and Rate of Sale (preferred)

Role & responsibilities Strategy & Leadership Define and execute the global marketing strategy aligned with Winjits regional growth goals. Build and lead a high-performance marketing team across regions. Establish internal processes for marketing planning, execution, and performance tracking. Brand & Thought Leadership Own the positioning of Winjit as an innovation-first partner across Banking, Insurance and AI/ML. Drive brand-building efforts through PR, awards, speaking engagements, and digital storytelling. Launch a content and webinar series on FinTech, AI, and emerging tech. Growth Marketing & Demand Generation Build high-impact ABM campaigns targeting top banking, fintech, and insurtech accounts. Set up lead funnels from events, social campaigns, and partner ecosystems. Implement and scale digital marketing including SEO, SEM, LinkedIn campaigns, and email automation. Regional Marketing Ownership Partner with sales heads to define market-specific priorities (US, SA, India). Create a global event calendar; coordinate Winjits presence at summits, pitch events, and forums. Set up regional vendor partnerships, media outreach, and association memberships. Enablement & Analytics Deliver sales enablement content: brochures, pitch decks, one-pagers, case studies. Implement marketing performance dashboards for visibility across the funnel. Collaborate with pre-sales and delivery to craft success narratives and client stories. Preferred candidate profile 10+ years of B2B marketing experience, ideally in a tech consulting or software services firm. Demonstrated success in building GTM strategies for BFSI or AI-driven solutions. Experience in global brand management and running integrated campaigns. Familiar with marketing automation tools (HubSpot/Marketo), LinkedIn Sales Navigator, and CRM systems. Strong written and verbal communication skills; ability to simplify complex ideas into compelling narratives. Entrepreneurial, hands-on leadership style. Skills Global Marketing Strategy ABM (Account-Based Marketing) B2B tech marketing (BFSI / AI/ML) Event marketing & partnerships Thought leadership (PR, webinars, speaking) Team leadership across geographies In-bound Lead generation & funnel optimization Brand Management Campaign Management Market Research Data Analysis Communication Budget Management Entrepreneurial & hands-on

Description We are seeking a Purchase Manager for IT hardware to oversee the procurement process, manage supplier relationships, and ensure that all purchasing activities align with the company's strategic goals. Responsibilities Develop and implement purchasing strategies for IT hardware. Evaluate and select suppliers based on quality, price, and delivery capabilities. Manage relationships with suppliers to negotiate contracts and ensure timely deliveries. Monitor market trends and competitor activity to inform purchasing decisions. Maintain accurate records of purchases, pricing, and other important data. Collaborate with internal teams to forecast demand and ensure adequate inventory levels. Analyze procurement data to identify cost-saving opportunities. Skills and Qualifications 4-12 years of experience in procurement or purchasing, preferably in IT hardware. Strong negotiation and communication skills. Proficiency in data analysis and inventory management software. Knowledge of supply chain management principles. Ability to work under pressure and handle multiple tasks effectively. Strong analytical skills and attention to detail. Bachelor's degree in Business Administration, Supply Chain Management, or a related field.

Description We are seeking a skilled Data Scientist to join our team in India. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling, with the ability to transform data into actionable insights. Responsibilities Analyze large datasets to derive actionable insights. Develop and implement machine learning models for predictive analysis. Collaborate with cross-functional teams to understand data needs and provide solutions. Visualize data findings using appropriate tools to communicate results effectively. Maintain and optimize existing data pipelines and algorithms. Skills and Qualifications 5-9 years of experience in data science or related field. Proficiency in programming languages such as Python and R. Strong knowledge of machine learning algorithms and statistical modeling. Experience with data visualization tools like Tableau or Power BI. Familiarity with SQL and database management systems. Understanding of big data technologies such as Hadoop and Spark. Excellent problem-solving skills and ability to work with complex data sets. Strong communication skills for presenting findings to non-technical stakeholders.

Responsibilities Identifies, grows, and maintains strategic relationship with client personnel, including Internal stakeholders management. Responsible for managing client expectations and delivering difficult messages when necessary to keep project delivery on course. Identifies areas of risk on engagements and develops plans to manage those risks. Drives the vision of the project solution. Prepares formal and informal presentations for client meetings. Identifies new business opportunities and communicates such opportunities to his/her engagement superiors. Guides, manages, and assists in multiple project-level efforts to apply, roll-out, configure various changes within multiple methodologies including Agile methodologies. Performs gap and data analysis in support of identifying improvement opportunities. Leads Agile meetings, creates user stories and discovery workshops for custom IT solutions. Conducts current state assessments of business processes and supporting systems. Acts as liaison between change requester and software development team. Addresses development team needs efficiently and effectively; creates release timelines and plans; coaches team on solution delivery, change management, and risk mitigation. Leads, coaches, and educates the scrum team in applying concepts and principles and staying focused on quality, predictability, flow and velocity of development. Strong leadership skills in facilitating meetings with developers, including scrum meetings and retrospective meetings, by providing functional clarification, setting delivery expectations with the team and client, and managing the budget. Supports the projects on-time delivery, finds and eliminates impediments, actively addresses issues, and builds a high-performing, continuous improvement team environment. Manages all time input and billing activities ensuring completion in a timely manner. Other duties as required. Shift timing: 2:00 PM IST to 11:00 PM IST. Hybrid Mode Supervisory Responsibilities: Supervises the day-to-day workload of the team on assigned engagements and reviews work product. Acts as mentor to team, as appropriate Qualifications, Knowledge, Skills and Abilities Education: Bachelor s degree in business or information technology. Certification: Certified ScrumMaster (CSM), SAFe Scrum Master (SSM), or Agile Certified Practitioner (PMI-ACP), preferred. Experience: Eight (8) or more years of professional experience leading agile project, technical solution projects, strategic or integration/implementation of varied IT solutions, required. Three (3) or more years of experience with agile development life cycle and demonstrate success leading multiple project teams to completion while mitigating risks, required. Three (3) or more years of experience as a Scrum master, required. Three (3) or more years of experience as a Scrum Master, leading software development teams and facilitating Scrum ceremonies, including coaching meetings with internal teams, required. Strong analytical, facilitation, documentation, risk management and communication skills, required. Strong project planning, scoping, and management skills, required. Strong business process analysis & design and process flow skills, required. Client facing consulting experience, preferred. Previous experience in managing scope, timeline or budget, preferred. Software: Proficient in Microsoft Office Suite; specifically, Excel, Word, PowerPoint and Outlook, required. Azure DevOps, required JIRA, Smartsheets, MS Project, Visio or any other project mapping tool, preferred. Other Knowledge, Skills & Abilities: A track record of managing projects within a software solution environment. Capacity to work in a deadline-driven environment while handling multiple projects/tasks simultaneously with a focus on details. Excellent communication skills, both written and spoken, along with strong facilitation and collaboration skills Excels at operating in a fast-paced technical environment. Ability to solve problems, identify solutions, and appropriately escalate issues. Must be open to local travel to the client site as needed.

Description We are seeking a skilled SAP PM professional with 5-8 years of experience to join our team in India. The ideal candidate will have a strong background in plant maintenance processes and SAP PM implementation, along with the ability to drive efficiency and optimize maintenance operations. Responsibilities Manage and optimize plant maintenance processes using SAP PM. Collaborate with cross-functional teams to ensure effective maintenance planning and execution. Conduct regular audits of maintenance practices and recommend improvements. Train and support end-users in SAP PM functionalities and processes. Analyze maintenance data to drive efficiency and reduce downtime. Skills and Qualifications 5-8 years of experience in SAP PM module implementation and support. Strong understanding of plant maintenance processes and best practices. Proficiency in SAP PM configuration and customizing. Experience in integrating SAP PM with other SAP modules (e.g., MM, PP). Excellent analytical and problem-solving skills. Strong communication and interpersonal skills. Ability to work independently and in a team environment. Relevant certifications in SAP PM will be a plus.

About Us: Morningstar DBRS is a leading provider of independent rating services and opinions for corporate and sovereign entities, financial institutions, and structured finance instruments globally. Currently with 700 employees in eight offices globally. Formed through the July 2019 acquisition of DBRS by Morningstar, Inc., the ratings business is the fourth-largest provider of credit ratings in the world. Morningstar DBRS is committed to empowering investor success, serving the market through leading-edge technology and raising the bar for the industry. Morningstar DBRS is a market leader in Canada, the U.S. and Europe in multiple asset classes. Morningstar DBRS rates more than 4,000 issuers and 60,000 securities worldwide and is driven to bringing more clarity, diversity of opinion, and responsiveness to the ratings process. Morningstar DBRS approach and size provide the agility to respond to customers needs, while being large enough to provide the necessary expertise and resources. Visit: https://www.dbrsmorningstar.com/learn/dbrsmorningstar to learn more. About the Role: Morningstar DBRS is seeking a Senior Data Research Analyst to join the Credit Operations Mumbai Analytics. The Senior Data Research Analyst is part of the team responsible for maintaining critical ratings and origination data. In this role, you will be asked to gather and interpret data requirements, perform research and analysis, and mappings from multiple sources. The Senior Data Research Analyst will partner with our technology team to assist in the development and testing of new requirements when necessary. Responsibilities: Assisting with collection and organization of security level data from various data sources Mapping of CUSIP and ISIN to corresponding Morningstar DBRS ratings Maintenance and troubleshooting of scheduled and automated reports Completing various data related inquiries and requests from internal and external parties Collaborate with Global Team to ensure accuracy, quality and reliability of the security ratings database Communicating with and maintaining a strong relationship with rating analysts to adhere with compliance and regulatory matters Requirements: Bachelor's degree in Accounting, Economics, Finance or Management Studies 3-4 years of Relevant Financial Data experience, experience at a rating agency is a plus Proficient in using data collection and analytical tools Experience working with SQL (MS SQL Server) Experience working with large data sets Exposure to database management Excellent verbal and written communication and interpersonal skills Strong attention to detail and accuracy Highly motivated, self-starter who is keen to learn, has a positive attitude and a strong work ethic Ability to manage multiple tasks at the same time and deliver results in a timely manner Ability to participate/ contribute as a team player Recommended Skillsets: Experience with Bloomberg and/or Thomson Reuters terminal Knowledge of fixed income or capital markets Experience with Python Morningstar DBRS is an equal opportunity employer. About Us: Morningstar DBRS is a leading provider of independent rating services and opinions for corporate and sovereign entities, financial institutions, and project and structured finance instruments globally. Rating more than 4,000 issuers and 60,000 securities, it is one of the top four credit rating agencies in the world. Morningstar DBRS empowers investor success by bringing more transparency and a much-needed diversity of opinion in the credit rating industry. Our approach and size allow us to be nimble enough to respond to customers needs in their local markets, but large enough to provide the necessary expertise and resources they require. Market innovators choose to work with us because of our agility, tech-forward approach, and exceptional customer service. Morningstar DBRS is the next generation of credit ratings. If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentially to our Compliance team (days vary by region). These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker. Morningstar's hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. While some positions are available as fully remote, we've found that we're at our best when we're purposely together on a regular basis, typically three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues. R11_DBRSRatingsGmbHIndia DBRS Ratings GmbH, Branch India Legal Entity

Morningstar DBRS is seeking a Data Team Lead to join the Credit Operations Mumbai Analytics. The Data Team Lead is part of the team responsible for maintaining critical ratings and origination data. In this role, as part of your role you will support analytical teams and initiatives, process transition, automation, and technology innovation. You will assist in project and operations management wherever Mumbai is centrally involved. Responsibilities: Lead a team of Data Research analysts who are assisting with collection and organization of security level data from various data sources and mapping of CUSIP and ISIN to corresponding Morningstar DBRS ratings Maintenance and troubleshooting of scheduled and automated reports Completing various data related inquiries and requests from internal and external parties Collaborate with Global Team to ensure accuracy, quality and reliability of the security ratings database Understand priorities and organize team workload based on business requirements Breakdown and analyze complex workflows and systems, identify inefficiencies/areas for improvement, and define solutions to improve the client experience Ability to co-ordinate and communicate effectively with the technology and business teams Communicating with and maintaining a strong relationship with rating analysts to adhere with compliance and regulatory matters Requirements: Masters degree in Accounting, Economics, Finance or Management Studies 6+ years of Relevant Financial Data experience, experience at a rating agency is a plus Proficient in using data collection and analytical tools Experience working with SQL (MS SQL Server) Experience working with large data sets Exposure to database management Excellent verbal and written communication and interpersonal skills Experience in working in global multicultural and matrix organization Ability to communicate and commit to timelines for product delivery Strong attention to detail and accuracy Highly motivated, self-starter who is keen to learn, has a positive attitude and a strong work ethic Ability to manage multiple tasks at the same time and deliver results in a timely manner Ability to participate/ contribute as a team player Recommended Skillsets: Experience with Bloomberg and/or Thomson Reuters terminal Knowledge of fixed income or capital markets Experience with Python

Assist in managing and developing a team of 10+ Data Research Analysts by providing clear direction, establishing SMART goals, and optimizing resource allocation for processes/projects. Working closely with multiple global teams and across various functions. Participate regularly in global calls and meetings. Assist the team to identify and eliminate roadblocks by partnering with technology teams and other database teams. Should be able to research complex projects leading to actionable recommendations and solutions. Fair product knowledge, both upstream and downstream. Assist in promoting LEAN Six Sigma tools and methodologies as an analyst framework for assessing the root cause of issues and improving processes. Ensure appropriate methods and techniques to improve and maintain the highest quality standards in the data collected by the team. Acts as main point of contact/manager for his or her entire team for all questions, comments and concerns. Tracks, measures and reports on agreed daily, monthly and quarterly metrics to all stakeholders. Provides coaching and training to team members as appropriate and according to the specific needs of the individual and the group. Identifies areas for improvement across the team and proactively takes steps to improve upon these weaknesses by offering ideas for individual and group training and conducting or arranging individual and group training sessions as appropriate. Sets goals and priorities for the individuals in the team in consultation with the Global Process Owner, MID Data Leaders and Global Data Director. Effectively motivates and rewards the team insuring good overall morale. Conducts performance reviews of each team member and explains/sets career development paths and opportunities for team members. Monitors Data Research Analysts availability to guarantee minimum staffing requirements are met/exceeded. Daily Job Responsibilities/Deliverables: Hold sessions with the team to communicate any changes, issues, procedures or reminders. Communicate any questions, issues or recommendations with regards to process, workflow, technology, methodology, team morale etc. to stakeholders. Operational matters. Accept/reject leave requests. Arrange for job shifts based on daily staffing requirements. Provide floor support by answering questions, solving issues that come up throughout the day and observing the dynamics of the team. Monitor production and quality for all Data Research Analysts onsite. Ensure adequate engagement levels of the staff to drive business results. Competencies Attention to Detail. Methodical Problem-Solving Skills. Analytical (Must be able to interpret data and analytics in an operations environment). Excellent Organization Skills (Email, Task Management, Follow-up). Self-Motivated. Ability to Motivate and Build Relationships with Others. Ability to Both Take and Give Direction Criticism. Willing and excited about working with and developing Team Members. Goal Oriented. Honesty Integrity. Requirements: Bachelor/master s degree in finance/business with an exceptional academic record. US shift mandatory Professional degree (CA, CA-Inter, ICWA, ICWA-Inter) preferred. 5+ years of professional work experience at various levels of seniority. Strong people and project management skills. Ability to effectively communicate with local and international teams. Proven experience optimizing processes. Eager and ready to work in a high-performance culture. Ability to take calls early or late nights once or twice a week. Prior experience leading teams of 10+ people will be an additional advantage. Demonstrated ability to develop talent.

Description We are seeking a dynamic Social Media Executive to join our team in India. The ideal candidate will have 1-2 years of experience in social media management and a passion for creating engaging content that resonates with our audience. Responsibilities Develop and implement social media strategies to increase brand awareness and engagement. Create, curate, and manage published content across various social media platforms. Monitor, analyze, and report on social media performance metrics and adjust strategies accordingly. Engage with followers and respond to inquiries in a timely manner. Stay up-to-date with the latest trends, tools, and best practices in social media marketing. Skills and Qualifications 1-2 years of experience in social media management or a related field. Proficiency in social media platforms such as Facebook, Instagram, Twitter, LinkedIn, and TikTok. Strong writing, editing, and communication skills. Experience with social media management tools such as Hootsuite, Buffer, or Sprout Social. Basic knowledge of graphic design tools like Canva or Adobe Creative Suite is a plus. Ability to analyze data and metrics to drive content decisions.

The Role : Morningstar seeks a Product Consultant to join our Global Client Support team in the ESG domain supporting Morningstar s ESG research, data and analytical products. Being a Front office role, you will be working directly with our Enterprise clients, you will join our client service group with the aim of resolving their critical and time sensitive issues. The team empowers investors to make more sustainable investment decisions. The Client Support team works alongside a diverse range of asset owners, asset managers, and some of the leading financial institutions around the world. You will support clients from the onboarding to daily technical and operational inquiries and other account management-related tasks, including account permissions and deliverable set up, as well as support on content-related questions on our research data. You will: Gain exposure to an international team, working closely with both Client Success Managers and Sales across regions Come together with your team, the primary and reliable point of contact for technical support. Escalate to the account owner where appropriate; and Support the team to maintain and improve client retention and client satisfaction. This position will allow you to obtain a broad understanding of how responsible investment strategies can be implemented by investors, be part of a fast-growing and successful organization, work in an entrepreneurial environment, expand your business network in a short period of time, and could quickly assume new responsibilities. We are looking for a dynamic team player who is process-focused and has strong customer service skills. Responsibilities Support the management of client relations in APAC, EMEA and North America involving a portfolio of asset owners, asset managers, banks, insurance companies, and other financial institutions. Ensure that clients have access to their subscribed research through our online platform and/or receive recurring or one-off standard services, reports, or deliverables. Respond quickly to client queries to resolve problems and ensure an effortless customer experience. Administrate client information in our internal relationship management system; and Support clients in accessing and understanding Sustainalytics suite of research products and ESG data for the purpose of incorporation into their investment processes and escalating appropriately. Requirements: 1-3 years of relevant work experience, especially related to customer service Undergraduate degree in a related discipline (business, finance, environment, and/or social sciences). With some experience in the ESG domain is a must. Strong customer service skills and process focused. Ability to understand and process client inquiries efficiently. Excellent interpersonal, communication, and writing skills. Meticulousness and attentiveness to detail. The desire to work for a company where individual contributions have significant impact on the success of the Team as a whole. A positive attitude is required. Experience working effectively with others in a team setting while under the pressure of deadlines. Willingness to work long hours at critical times (i.e., quarterly reporting) based on need. The ability to work independently, efficiently, and responsibly. Extreme attention to detail and an ability to document processes.

Morningstar Development Program (MDP)Associate- Job Description Who we are: Morningstar,Inc. is a leading provider of independent investment research.Conducttimelyand in-depth screening, research, and review of company data and disclosures. Learn the researchmethodologyand processes quickly and apply that knowledge consistently. Deliver individual and team targets including production and quality. Establish and achieve the setobjectivesand key results (OKRs)with the guidance of the team lead. Provide input and ideas for new data collection methods, product/process improvements, and quality initiatives. Requirements: Good English communication, reading, writing, and content interpretation skills. Client-oriented, innovative,witha bias foraction and entrepreneurial mindset. Analytical and critical thinking, attention to detail, and problem-solving skills. Basic levelproficiencyin MS Office Suite, particularly MS Excel, and Word. Eligibility: Minimum 50%inbachelor sdegreeand above in any discipline. Freshers and candidates with up to 2 years of experience can apply. Candidates awaiting results for their last semester can also apply.However, employment is conditional to clearing and completion of graduationand submission of relevant documents/certificates. Only applicants based in Mumbai will be considered. Selection Process: Eligible candidates must successfully clear the online assessment. Candidate Information Session will be conductedpostclearing theonline assessment. Two interview rounds will be conductedfor shortlisted candidates. At every stage of eligibility, only shortlisted candidates will be contacted by the Morningstar recruitment team. A permanent offer letter will be provided to you from Morningstar after clearing all rounds.

About the Role: As a member of the Global Structured Finance Research team, you will conduct thorough quantitative and qualitative research on various sectors, markets which involve Asset or Mortgage Backed Securities transactions. In addition, you will assist the onshore team with working on the ongoing publication and reports; assist with special projects/initiatives, as needed. You will need to come up ideas for thematic research and new research publication. With seasoning, you will be expected to have thorough understanding of the asset class and sectors. This position is based in our Navi Mumbai office. Responsibilities: Ideate, create, write and maintain various structured finance industry publications and reports for both US, Canada and European Structured Finance regions. Collect, organize and analyze data from internal and external sources for use in criteria development, ratings and research reports. Work on regular/ ongoing research publications-monthly, quarterly, event based research and updates, conference, flash notes etc. related to the structured finance Industry. Contribute meaningful research ideas for thematic and ongoing publications related to structured finance namely RMBS, CMBS, ABS, structured credit. Carry out sector analysis and help onshore analyst in coming up with various themes/ ideas. Keep track of latest developments/trends in the Structured Finance markets and collect, organize, analyze data from internal and external sources incorporate them in writing various publications. Assist with data aggregation and ad-hoc requests. Deepen research skills to generate differentiated ideas and ability to communicate ideas, articulate thoughts and write opinions along with team of global analysts. Identifying trends by qualitative and quantitative factors Identifying macro and micro risk factors for a particular market and sector. Take ownership of the tasks with focus on quality and accuracy of deliverables Demonstrate strong learning curve and eagerness to take more responsibilities with an analytical mindset. Ensure compliance with regulatory and company policies and procedures. Requirements: 3 to 5 years of experience in a credit research domain, with Structured Finance knowledge, experience at a rating agency is a plus. Bachelor's degree in Accounting, Economics, Finance or Management Studies Masters, CFA or CFA program enrollment are a plus Fluent in English, with good verbal and written communication skills Strong attention to detail and accuracy Highly motivated, self-starter who is keen to learn, has a positive attitude and a strong work ethic Ability to manage multiple tasks at the same time and deliver results in a timely manner Good inter-personal skills and ability to participate/ contribute as a team player Experience with Intex, REIS and CBRE is a plus

Analyze the credit risk in Structured Finance securities by performing tasks that includes reviewing deal documents, analyzing periodic data and setting up templates. Collect, organize and analyze data from internal and external sources for use in criteria development, ratings and research reports. Accurate and timely retrieval, analysis, research and reporting of pool level and/or property level performance, including: Identifying and analyzing risky assets based upon qualitative and quantitative factors Identifying macro and micro risk factors to determine and measure exposure within the securitized pools. Monitoring, analysis, and reporting on Structured Finance transactions, including an investigation of potential default or loss scenarios for underlying collateral. Compile and prepare periodic portfolio reports for use by senior staff and identify material changes for research causes. Maintain regular and open communication with the operations team and technology team about assigned tasks, priorities and ensure applications under development meet the defined requirements and pass the user acceptance testing prior to its release. Take ownership of the tasks with focus on quality and accuracy of the deliverables Demonstrate strong learning curve and eagerness to move up the rating value chain Ensure compliance with regulatory and company policies and procedures. Requirements: 3 to 5 years of experience in a credit research domain, with Structured Finance knowledge, experience at a rating agency is a plus. Bachelor s degree in Accounting, Economics, Finance or Management Studies Masters, CFA or CFA program enrollment are a plus Fluent in English, with good verbal and written communication skills Strong attention to detail and accuracy Highly motivated, self-starter who is keen to learn, has a positive attitude and a strong work ethic Ability to manage multiple tasks at the same time and deliver results in a timely manner Good inter-personal skills and ability to participate/ contribute as a team player.

Title: Associate Content Researcher/Content Researcher, MID, Mumbai Morningstar is a leading provider of independent investment research in North America, Europe, Australia, and Asia. We offer a wide variety of products and solutions that serve market participants of all kinds, including individual and institutional investors in public and private capital markets, financial advisors, asset managers, retirement plan providers and sponsors, and issuers of securities. Morningstar India has been a Great Place to Work-certified company for the past eight consecutive years. Team: As an essential part of Morningstar Global MID Organization, MID Content Researcher Team is responsible for: Data process solution analysis and impact analysis for new data or data changes Business rule management Platform change request review and sign-off Productivity metrics reporting and providing analysis and insight on productivity changes The objective of the Content Research team is to build deep subject matter experts and commit to deliver deep data insight and high-quality data solutions to drive operational excellence in our Global MID team. Role: Morningstar is seeking a self-motivated Associate Content Researcher for Managed Investment Data (MID) team. In this role, you will mainly work with content design team, tech team and data processing team to develop and implement enhancements to various data and analysis of data. You will be a key contributor to design new data content process flow and user interface, build creative tool and provide constructive consultant for data process. This position is based in our Navi Mumbai (Vashi) office, 2 mins walk from the Vashi railway station. Shift: UK/AU Responsibilities: Collaborate with content design team and data processing team to design new content process flow and user interface, build business logic to ensure new content workflow is built properly Translate system improvement requirement or data requirement through detailed written specifications to support the tech development work Conduct feasibility analysis and impact analysis to evaluate data solution / data collection methodology feasibility and impact Coordinate with relevant teams to ensure proper implementation Understand the data collection, system and back-end logic and be the escalation point for the related data issues Maintain database backend knowledge and ensure all the related CR analysis work is well documented Qualifications: At least 3-years professional experience working in investment data industry with wide and deep database knowledge A bachelor's/master's degree Be familiar with at least one of SQL, Python Strong quantitative, business analysis and problem-solving skills Excellent English verbal/presentation/written communication skills Self-motivated, detail-oriented, and organized CFA certifications are preferred Basic understanding of AI/ML is an advantage Morningstar is an equal opportunity employer. Morningstar's hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We've found that we're at our best when we're purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

Morningstar is a leading provider of independent investment research in North America, Europe, Australia, and Asia. We offer a wide variety of products and solutions that serve market participants of all kinds, including individual and institutional investors in public and private capital markets, financial advisors, asset managers, retirement plan providers and sponsors, and issuers of securities. Morningstar India has been a Great Place to Work-certified company for the past eight consecutive years. The Team As an essential part of Morningstar Global MID Organization, Data Content Research Team is responsible for data process solution analysis and impact analysis for new data or data changes, business rule management, and data collection platform change request review and sign off. The team would collaborate with different data function teams on key data initiatives, and continue drive operation excellence. The Role Morningstar seeks a self-motivated Data Content Researcher to join Mumbai Managed Investment Data team. In this role, you will work with Content design team, Tech team and Global MID operations team to implement new data, data changes, business rule enhancement and interface enhancements to drive operation excellence. You will be a key contributor to design new data collection process flow and user interface, build creative tool and provide insight for data enhancement and you would also play a key role as the data escalation point. Your exposure to global teams will allow you to have a solid foundation for your career. This position is based in Mumbai office. Shift - UK Responsibilities: Review and understand the business requirements. Interpret the business requirements and propose data solutions Use data mining to surface data issue and support data strategy decision-making. Design new content process flow and user interface, build back-end logic to ensure data accuracy. Provide solution and consultation for data processing improvement from overall data perspective. Provide proper proposal for data quality control backend logic to drive data accuracy improvement. Interpret data methodologies into usable technology language through detailed written specifications Conduct feasibility analysis and impact analysis to evaluate data solution / methodology feasibility and impact Communicate with stakeholders on the potential impacts or risks of the proposal, and make the risk mitigation plan Coordinates with relevant teams to ensure proper implementation and documentation Maintain database backend knowledge and build readable documentation. Requirements: At least 5-years professional experience working in Investment data industry (Fund data) with wide and deep database knowledge. Senior Data Analyst role and above. A bachelors degree in finance, economics, or business with an exceptional academic record. Experience with SQL. Basic programming, Python and database skills is preferred Strong quantitative and business analysis skills Excellent English verbal/presentation/written communication skills Highly interest in data and analytics Profound understanding of Fund data Data, system, process and backend logic Self-motivated, detail-oriented, and organized CFA candidate preferred. Morningstar is an equal opportunity employer.

The incumbent should have good speaking English and must have had experience on numbers. He / She should have experience related to data collection, analysis, interpretation, and the presentation of findings. He/ She must have systematic, proven approach to analyzing numerical data so that it maximize our understanding of what the numbers are telling us. He / Sher should be proficient in various tools in Microsoft so analyze data Bachelor's degree in relevant discipline such as B.Sc (Maths), B.Sc (Statistics). Preferred candidate profile Age 24-28 Experience 4 - 8 years experience in relevant field . Qualification Bachelor's degree in relevant discipline such as B.Sc (Maths), B.Sc (Statistics). Proficiency in English & MS Excel with advanced skills in formulas like HLOOKUP, VLOOKUP, Pivot Tables etc.

POSITION RESPONSIBILITIES (100%) Business Analysis (15%) Autonomously perform business analysis for data-based use cases, including direct interaction with SMEs, early data investigation, and phased design planning. Create accurate entity mappings for data integrations and transformations, including business rules. Develop entity relationship diagrams to document data development cases: process flows, source-to-target mappings, and database structures. Define project scope , approach, and next steps, ensuring alignment with business and technical objectives in consultation with technical leads. Determine appropriate data staging frequency and mode (e.g., near-real-time streaming, daily wipe-reload). Define data provisioning methods , such as file-based, analysis tables, or visualizations. Data Analysis (25%) Analyze incoming data from various sources (raw datasets, tables, APIs, etc.) to understand potential, issues, and transformation needs. Independently perform data cleanup and profiling to detect anomalies, alignments, and patterns. Infer likely data rules and confirm unknown concepts with domain owners. Understand and apply AI tools and pretrained models for daily data analysis tasks. Provide L3/L4 support for production data issues, with advanced query capabilities and ETL troubleshooting skills. Lead contracted resources in resolving production data issues. Data Development (50%) Design and develop data solutions from prototype to production, including ETLs , integrations, analyses, limited data apps, and visualizations. Automate pipelines using scripting and ETL tools . Monitor and manage pipeline execution; implement error handling and orchestration jobs. Perform and oversee data migration analysis , mapping, execution, and troubleshooting. Apply ACID principles and data load strategies (wipe/reload, upsert, CDC) based on scenario and latency. Lead contract resources in executing design and development of data products. Ensure overall quality of delivered data solutions. Apply Agile concepts (e.g., MVP, fail fast); actively participate in project ceremonies such as daily stand-ups and sprint reviews . Take ownership of assigned tasks; create and delegate subtasks appropriately. Author technical documentation , including design specifications, installation guides, and deployment notes. Conduct thorough unit testing , peer reviews , and regression testing . Design, execute, and supervise test script execution and automation. Manage deployment and hypercare activities. Data Architecture (10%) Identify and relate key VMRD data entities to enhance cross-use case linkability. Acquire and apply additional metadata for VMRD entities. Apply Master Data Management (MDM) principles. Ensure data security in apps, visualizations, databases, and file systems. Implement role-based security and manage sensitive data, including PII and IP . Understand GxP implications in technical systems and processes. Collaborate with Systems Engineers on app-related projects. Contribute to continuous improvement of process and knowledge sharing. ORGANIZATIONAL RELATIONSHIPS ZTD R&D Solution Partners ZTD R&D Systems Engineers ZTD Centers of Excellence VMRD Business SMEs across multiple product lines and departments RESOURCES MANAGED Technical direction for 04 contingent workers EDUCATION AND EXPERIENCE Undergraduate degree in Information Technology , Computer Science , or related field (or equivalent education/work experience). 58+ years in data application design, development, and support ( 36+ with Master's degree ). Experience working with multiple vendors and departments for service/support. Strong interpersonal and communication skills to build effective relationships. Experience coordinating with distributed and cross-functional teams across time zones. Skilled in prioritizing and progressing through ambiguity. TECHNICAL SKILLS REQUIREMENTS Knowledge of structured and unstructured data practices. Strong understanding of data structuring for analytics and data science . Extensive experience with ETL tools (e.g., Alteryx , Python , Informatica , Databricks ). Proficiency in scripting languages ( Python, PowerShell, R ). Working knowledge of SQL Server , Oracle , T-SQL , and PL/SQL . Strong SQL query writing and troubleshooting expertise. Basic statistics and data profiling capabilities. Experience with visualization tools ( Power BI , Tableau ) and Microsoft Excel. Use of pretrained GenAI tools to accelerate development. Familiarity with unit, integration, and regression testing . Skilled in technical documentation aligned with SDLC standards. PROJECT MANAGEMENT SKILLS Experience with Solution Delivery Lifecycle Management . Proficient in Agile , with familiarity in Waterfall methodologies. Able to self-manage targeted projects and delegate tasks effectively. PHYSICAL POSITION REQUIREMENTS Occasional travel: 05%

POSITION RESPONSIBILITIES Business Analysis Autonomously perform Business Analysis as needed for data-based use cases, including open interaction with SMEs to answer questions and seek feedback, early analysis investigation spikes to analyze preliminary datasets, and phase-based design planning for implementation. Creates accurate entity mappings for data integrations and transformations, including business rules Creates entity relationship diagrams to document a variety of data development cases, including process flow, entity source to target, and database diagrams Define scope, approach, next steps, and direction with regard to assigned project objectives, and consult with technical lead for internal and business objective alignment Determine appropriate frequency and mode of needed data staging, from near-real-time streaming to daily wipe-reload Determine appropriate means of provisioning data, from direct file or analysis table consumption to visualization 15% Data Analysis Analyze incoming data (from raw sets, database tables, APIs, and other sources) rapidly to understand its potential, needed manipulations, and issues. Perform data cleanup activities without direction Profile datasets, detecting anomalies, needed alignments, and patterns Proactively determine probable rules, and confirm unknown concepts with domain technical owner Understands AI tools and technologies; able to leverage pre-trained models for daily tasks. Provide L3/L4 support for production data issues including advanced query capabilities and ETL pattern knowledge/familiarity to troubleshoot datasets and ETLs, and direct contracted resources as needed to remediate issues. 25% Data Development Design and develop data solutions from prototype to production, largely self-driven, with a particular focus on rapid ETL development, including integrations, data processing, and analyses, as well as limited data apps and visualizations Automate pipelines using scripting and ETL tools Manage and monitors pipeline execution Design and implement error handling capabilities Setup simple orchestration jobs Perform data migration analysis tasks, such as evaluation of current sets, mapping, and process flow diagramming Own and oversee as needed execution of data migration tasks as part of system deployment Diagnose, handle, and manage data migration issues Understands ACID principles for databases Understands and applies different approaches for data loading based on the scenario, such as wipe/reload, upsert, and CDC Recognizes and can approach varying latencies of data loading, from batch to near-realtime Oversee and work with contract resources to fulfill design and execution for data products. Assume responsibility for the overall quality of delivered products. Understand and apply key Agile concepts like failing fast and minimum viable product. Participate in project management activities like daily stand-up meetings, sprint reviews, etc. Assume responsibility for own assigned tasks and reaching out for clarity, Create tasks as needed and delegate where appropriate Document technical design specifications Interpret and diagnose existing legacy or inherited code for problems and proposed remediation Unit test workflows extensively to minimize rework Peer review with others to receive and provide advice and insight Regression test developed items to verify continuous coverage of existing functionality Design, execute, and oversee test script execution and automation Define deployment/installation documentation Execute or oversee deployment, including installation, installation verification, and hypercare Document products consistently 50% Data Architecture Recognize key VMRD data entities and understand how they relate to others, to extend the value and linkability of data across use cases. Know and apply approaches and sources to acquire additional metadata for key VMRD entities Understands basic Master Data Management principles Assure adherence to basic data security approaches, including app, visualization, database, and file security Understand and apply role-based security approaches and inheritance Recognize and safely handle sensitive data such as Personal Information and Intellectual Property Good understanding of the technical impacts of GxP-related systems and processes Build and continually enhance knowledge of both the technical and business functional landscape for VMRD Actively interface with Systems Engineers on app-related projects Collaborate with colleagues to continually enhance process and knowledge 10% ORGANIZATIONAL RELATIONSHIPS ZTD R&D Solution Partners ZTD R&D Systems Engineers ZTD Centers Of Excellence VMRD business SMEs from multiple product lines and departments Supervision 0-4 contingent workers technical direction EDUCATION AND EXPERIENCE Undergraduate degree related to information technology and/or computer science or equivalent education and work experience required. 5-8+ years experience with the design, building, and supporting of rapid data development (3-6+ with Master's degree) Experience with utilizing multiple vendors and/or departments for service and support activities. Excellent interpersonal and communication skills with the ability to build relationships. Experience in coordinating activities with multidisciplinary teams distributed in many physical locations with different time zones. Ability to prioritize issues and drive progress in ambiguous situations. TECHNICAL SKILLS REQUIREMENTS Familiarity with structured and unstructured data approaches Familiarity with structuring data to serve analytic needs, both for visualizations and data science use cases Expert experience with rapid ETL tools, including Alteryx/KNIME and Python/R Strong experience deploying rapid ETLs from PoC to production Experience with scripted languages such as Powershell, Python, and R in an automation environment General experience with SQL Server and/or Oracle databases Strong experience with SQL query writing Working knowledge of T-SQL and/or PL/SQL Expert experience with data analysis and troubleshooting Basic statistics knowledge Some experience with Power BI and/or Tableau Strong experience with Microsoft Excel for basic ad hoc data purposes as well as as a data source Some experience using pretrained GenAI tools for code acceleration Experience with software testing including unit, integration, and regression testing Experience with technical writing for SDLC documentation Project Management Experience working within a Solution Delivery Lifecycle Management framework Experience with Agile and familiarity with Waterfall development methodologies Ability to self-manage targeted projects, and create and delegate tasks

Description We are seeking a skilled Python Developer to join our dynamic team in India. The ideal candidate will have a strong background in developing robust applications and a passion for coding. You will be responsible for designing and implementing high-quality software solutions. Responsibilities Design, develop, and maintain scalable and efficient Python applications. Write reusable, testable, and efficient code in Python. Collaborate with cross-functional teams to define, design, and ship new features. Debug and resolve technical issues as they arise. Participate in code reviews to ensure code quality and best practices are followed. Stay up to date with emerging technologies and industry trends to improve development processes. Skills and Qualifications 5-15 years of experience in Python development and programming. Strong understanding of Python frameworks such as Django or Flask. Proficient in RESTful API development and integration. Experience with database management systems like PostgreSQL, MySQL, or MongoDB. Familiarity with front-end technologies such as HTML, CSS, and JavaScript is a plus. Knowledge of version control systems, preferably Git. Strong problem-solving skills and ability to work independently as well as in a team environment.

Description We are seeking an experienced Business Analyst to join our team in India. The ideal candidate will have a strong background in analyzing business needs and translating them into functional requirements for IT solutions. Responsibilities Gather and analyze business requirements from stakeholders Develop functional specifications and process documentation Create and maintain project documentation including business cases, user stories, and use cases Collaborate with cross-functional teams to ensure successful implementation of solutions Perform data analysis and generate reports to support business decisions Identify areas for process improvement and recommend solutions Facilitate workshops and meetings with stakeholders to elicit requirements Assist in user acceptance testing and validate that the system meets business needs Skills and Qualifications Bachelor's degree in Business Administration, Information Technology, or a related field 5-10 years of experience in a business analyst role Proficient in business analysis tools such as JIRA, Confluence, or similar software Strong understanding of software development lifecycle (SDLC) Experience with data visualization tools like Tableau or Power BI Excellent analytical and problem-solving skills Strong communication and interpersonal skills Ability to work independently and collaboratively in a team environment

Job Title: Data Analyst (Python +Pyspark) About Us Capco, a Wipro company, is a global technology and management consulting firm Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors We are recognized for our deep transformation execution and delivery WHY JOIN CAPCO You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry The projects that will transform the financial services industry MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage Job Description Role: Data Analyst / Senior Data Analyst Location : Bangalore/ Pune Responsibilities Define and obtain source data required to successfully deliver insights and use cases Determine the data mapping required to join multiple data sets together across multiple sources Create methods to highlight and report data inconsistencies, allowing users to review and provide feedback on Propose suitable data migration sets to the relevant stakeholders Assist teams with processing the data migration sets as required Assist with the planning, tracking and coordination of the data migration team and with the migration run-book and the scope for each customer Role Requirements Strong Data Analyst with Financial Services experience, Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context Knowledge of one or more of the following domains (including market data vendors): Party/Client Trade Settlements Payments Instrument and pricing Market and/or Credit Risk Demonstrate a continual desire to implement strategic or optimal solutions and where possible, avoid workarounds or short term tactical solutions Working with stakeholders to ensure that negative customer and business impacts are avoided Manage stakeholder expectations and ensure that robust communication and escalation mechanisms are in place across the project portfolio Good understanding of the control requirement surrounding data handling Experience/Skillset Must have - Excellent analytical skills and commercial acumen, Minimum 4+ years of experience with Python and Pyspark Good understanding of the control requirements surrounding data handling Experience of big data programmes preferable Strong verbal and written communication skills Strong self-starter with strong change delivery skills who enjoys the challenge of delivering change within tight deadlines Ability to manage multiple priorities Business analysis skills, defining and understanding requirements Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context Can write SQL queries and navigate data bases especially Hive, CMD, Putty, Note++ Enthusiastic and energetic problem solver to join an ambitious team Good knowledge of SDLC and formal Agile processes, a bias towards TDD and a willingness to test products as part of the delivery cycle Ability to communicate effectively in a multi-programme environment across a range of stakeholders Attention to detail Good to have - Preferable knowledge and experience in Data Quality & Governance For Spark Scala should have working experience using scala (preferable) or java for spark For Senior DAs: proven track record of managing small delivery-focussed data teams

Senior Business Analyst GDPR project involving a gap analysis of 527 applications to determine the presence and scope of personal data. This includes contacting stakeholders to gather data details, assessing remediation timelines, and baselining costs. By collaborating with technical and production teams, I ensure successful project collaboration through effective stakeholder management. Key Skills Used: - Data Analysis: Evaluating data types and quantities held in applications. - Stakeholder Management: Engaging with stakeholders to gather and validate information. - Project Coordination: Managing remediation timelines and baselining costs. - Collaboration: Working closely with technical and production teams. - Communication: Effectively conveying project status and requirements. - Compliance: Ensuring alignment with GDPR requirements for multiple Policy Admin Systems (PAS), Claims Admin Systems (CAS), Stand-alone systems and End User Computing (EUC s) systems.