9084 Data Analysis Jobs - Page 46

Responsible for driving all regular data tracking, reporting and governance requirements (dashboards, monthly metrics, etc) for APEMEA PC function Manage regular reviews to ensure Workday data quality and integrity (e.g. flex strings, job family, segments product tagging, etc) Partner with People Analytics team and APEMEA Strategy Excellence to generate and deliver reports, metrics, analytics insights, and PPT decks that can inform actions plans for process improvement and organizational effectiveness (e.g. Sales Productivity, Segment revenues, workforce planning, investment allocation, etc) and enable effective tracking and measurement Provides Workday administrative support where required such as org/ job changes, position creation, data updates etc All About You Strong project management skills, with the ability to manage multiple and/or complex projects simultaneously and drive results within established timelines. Excellent analytical and problem-solving skills with the ability to translate data into actionable insights Demonstrated ability to deliver flawless execution Exceptional communication and interpersonal skills, with the ability to effectively collaborate with stakeholders across different levels of the organization Advanced Word, Excel, and PowerPoint skills required, knowledge of Project Management tools preferred

Note- Hiring only male candidates based in Chandigarh (Tricity region) Key Responsibilities: Conducting exhaustive secondary research (through databases, annual reports, company websites, government and ministry websites, journals) Data mining and research database management Analysis of market dynamics, industry variables, competitive intelligence, and other market information Data analysis and visualization using relevant software like Tableau. Assisting with writing the market research reports

To play key role in Inventory Management, Stock Audit Analysis and provide Monthly MIS report related to Inventory. Inventory impairment workings and coordinating with internal teams for approvals. Identifying and making corrective actions for unusual entries in inventory reports, analyzing the price movement and its effects product wise. Budget working compilation for Material cost and Monitoring Cost Savings Materialization. Support in Part wise Gross Margin Analysis and Monthly & YTD PNL Analysis related Material Cost and Scrap Movement. Monthly check on Price List Vs Purchase rate and Component Standard rate Vs Actual Rate and update on standard rate. Activities related to RM rate increase and decrease, raising debit notes and follow ups for Material cost variations. Reporting on Unusual transactions in the Inventory reports and Analysis on 4T Scrap Month wise and BU wise movement. Take Part in Internal and External Audit Compliance and Provide Reports like COGS reconciliation, purchase reconciliation, Inventory Movement and Scrap Reconciliation Reports. To support on Material Cost Validation for New Product Costing.

Dynamic Yield, a Mastercard company, is seeking a Senior Analyst, Financial Planning & Analysis to join our Revenue Assurance team. Revenue Assurance is a key function within Mastercard's Corporate Financial Planning and Analysis, leading global efforts to identify revenue recovery opportunities, assess data compliance challenges, discover billing process improvements, and drive end-to-end solutions for revenue recovery. This agile, cross-functional team partners closely with regional/product finance, Global Statistics (QMR), GBSC (Billing), Global Business Shared Services, Franchise, and Account Management teams. Reporting to the Director, Financial Planning & Analysis, this position is responsible for driving data analytics excellence for the revenue assurance function. If you have an eagle eye for identifying process deficiencies within complex datasets and can use data insights to directly impact revenue, we encourage you to apply. The Role As a Senior Analyst, Financial Planning & Analysis, you will: Analytical Toolkit Development: Partner cross-functionally with internal stakeholders (Finance, Product, GBSC, etc.) to develop an analytical toolkit that drives efficiency in issue detection for key corporate and regional initiatives. Data Analysis & Insight Generation: Conduct rigorous data analysis from various databases (MCBS, MyMPA, Enterprise Reporting, Data Warehouse, etc.) to identify, research, and resolve revenue leakage. You'll then synthesize these findings into actionable insights and recommendations. Process Improvement & Implementation: Support the development of billing efficiencies and facilitate the implementation of process improvements that minimize the risk of revenue leakage and reduce manual processes. Revenue Recovery: Ensure revenues are successfully collected as a direct result of revenue assurance initiatives. All About You Education: Bachelor's degree with a major in Business, Finance, or Management Information System is preferred. Data Management & Analytics: Strong data management and analytical experience, with demonstrated ability to use insights to drive impact. Technical Proficiency: Highly proficient in database management and Microsoft Office applications (Excel, etc.). Communication: Excellent ability to break down and communicate complex issues clearly and concisely. Problem-Solving: Possess a good systematic approach and analytical thinking mindset, demonstrating a proactive problem-solver attitude. Ownership & Business Acumen: High level of ownership, strong business acumen, and an entrepreneurial mindset. Collaboration: A desire to collaborate with the team and build strong working relationships across teams and all levels of management. Execution: Ability to follow up and follow through on time-sensitive issues, demonstrating strong organizational skills and strategic orientation. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks come with an inherent risk to the organization. Therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices. Ensure the confidentiality and integrity of the information being accessed. Report any suspected information security violation or breach. Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

Develop and implement sales strategies to meet territory sales targets. Monitor sales performance, analyze data, and recommend improvements to achieve goals. Develop and execute effective sales plans and promotional activities.

Dynamic Yield, a Mastercard company, is seeking a Senior Analyst, Financial Planning & Analysis to join our Revenue Assurance team. Revenue Assurance is a key function within Mastercard's Corporate Financial Planning and Analysis, leading global efforts to identify revenue recovery opportunities, assess data compliance challenges, discover billing process improvements, and drive end-to-end solutions for revenue recovery. This agile, cross-functional team partners closely with regional/product finance, Global Statistics (QMR), GBSC (Billing), Global Business Shared Services, Franchise, and Account Management teams. Reporting to the Director, Financial Planning & Analysis, this position is responsible for driving data analytics excellence for the revenue assurance function. If you have an eagle eye for identifying process deficiencies within complex datasets and can use data insights to directly impact revenue, we encourage you to apply. The Role As a Senior Analyst, Financial Planning & Analysis, you will: Analytical Toolkit Development: Partner cross-functionally with internal stakeholders (Finance, Product, GBSC, etc.) to develop an analytical toolkit that drives efficiency in issue detection for key corporate and regional initiatives. Data Analysis & Insight Generation: Conduct rigorous data analysis from various databases (MCBS, MyMPA, Enterprise Reporting, Data Warehouse, etc.) to identify, research, and resolve revenue leakage. You'll then synthesize these findings into actionable insights and recommendations. Process Improvement & Implementation: Support the development of billing efficiencies and facilitate the implementation of process improvements that minimize the risk of revenue leakage and reduce manual processes. Revenue Recovery: Ensure revenues are successfully collected as a direct result of revenue assurance initiatives. All About You Education: Bachelor's degree with a major in Business, Finance, or Management Information System is preferred. Data Management & Analytics: Strong data management and analytical experience, with demonstrated ability to use insights to drive impact. Technical Proficiency: Highly proficient in database management and Microsoft Office applications (Excel, etc.). Communication: Excellent ability to break down and communicate complex issues clearly and concisely. Problem-Solving: Possess a good systematic approach and analytical thinking mindset, demonstrating a proactive problem-solver attitude. Ownership & Business Acumen: High level of ownership, strong business acumen, and an entrepreneurial mindset. Collaboration: A desire to collaborate with the team and build strong working relationships across teams and all levels of management. Execution: Ability to follow up and follow through on time-sensitive issues, demonstrating strong organizational skills and strategic orientation. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks come with an inherent risk to the organization. Therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices. Ensure the confidentiality and integrity of the information being accessed. Report any suspected information security violation or breach. Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

The opportunity: Hitachi Energy is seeking a Global Product Group Analyst is responsible for analyzing market trends, product performance, and competitive landscape to support the strategic decision-making process within the product group. This role involves collaborating with various departments to ensure the successful implementation of product strategies. How you'll make an impact: Market Analysis: Conduct comprehensive market research to identify trends, opportunities, and threats. Product Performance: Monitor and analyze the performance of products within the group, providing insights and recommendations for improvement. Competitive Intelligence: Gather and analyze data on competitors to inform strategic decisions. Reporting: Prepare detailed reports and presentations for senior management, highlighting key findings and strategic recommendations. Collaboration: Work closely with product managers, marketing teams, and other stakeholders to align product strategies with market needs. Data Management: Maintain and update databases related to market and product information. Strategic Planning: Assist in the development and execution of strategic plans for the product group Safety and integrity: Living Hitachi Energy s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. Your Background: Bachelor s degree in business, Marketing, Economics, or a related field. Min 6- 10 yrs previous experience in market research, data analysis, or a similar role is preferred. Strong ability to analyze data and market trends. Proficiency in conducting market and competitive research. Excellent written and verbal communication skills for presenting findings. Familiarity with data analysis tools and software. High level of accuracy in data collection and analysis. Ability to think strategically and provide actionable insights. Proficiency in both spoken written English language is required.

Develop and implement sales strategies to meet territory sales targets. Monitor sales performance, analyze data, and recommend improvements to achieve goals. Develop and execute effective sales plans and promotional activities.

MIS Reporting Engineer Experience Required: 4 to 6 Years Location: Chennai Shift Timings: 7AM - 4PM or 6AM - 3 PM Position Overview: We are seeking a highly skilled MIS and Reporting Manager to join our team. This role is pivotal in managing data systems, generating insightful reports, and supporting decision-making through analytics and visualization. The ideal candidate will possess a strong command of advanced Excel, Power BI, and automation tools, with prior experience working in customer-facing roles for global clients. Key Responsibilities: 1. Data Management Maintainand manage databases to ensure data accuracy, consistency, and security. Develop and enforce data quality assurance practices, including data validation and cleansing. Manage SharePoint content and structure related to reporting data. 2. Reporting Generate routine and ad-hoc reports to monitor key performance indicators (KPIs) and business metrics. Prepareweekly and monthly billing reports. Designand automate reporting processes for efficiency and consistency. 3. Data Analysis Analysedata trends to uncover insights and support business optimization. Conductroot cause analyses to investigate data discrepancies or anomalies. 4. Data Visualization Createimpactful and user-friendly dashboards and visual reports using tools such asPower BI, Excel, and PowerPoint. Customizedashboards to meet various stakeholder requirements. Developexecutive-level PowerPoint presentations to convey insights. 5. Stakeholder Communication Collaboratewith cross-functional teams to gather requirements and ensure alignment withbusiness objectives. Presentinsights and recommendations clearly to senior stakeholders anddecision-makers. 6. Process Improvement Continuouslyenhance reporting and data processes to improve accuracy and efficiency. Proactivelyidentify gaps and recommend solutions for data collection and analysisworkflows. 7. Automation Identify manual Excel-based tasks within the Operations team and automate them usingVBA. Leverage Power Automate for workflow automation where applicable. Requirements : Bachelor s degree in computer science, Business Administration, or a related field. 3+years of experience as a Data Analyst or MIS Specialist handling high volumes of data. Strong expertise in Advanced Excel and Excel VBA (minimum 3 years). Proficiency in Power BI (minimum 3 years). Hands-on experience in Power Automate and professional PowerPoint presentations. Excellent analytical skills with the ability to translate complex data into actionable insights. Exceptional communication and stakeholder engagement skills. High attention to detail and commitment to data integrity. Ability to manage multiple priorities in a fast-paced, dynamic environment. Flexibility to work in morning shift timings. Mandatory Skills: Advanced Excel Excel VBA Power BI PowerPoint Power Automate

Responsibilities: Define and communicate a clear product vision and strategy. Own the end-to-end product lifecycle from market research and roadmap planning to launch and iteration. Collaborate with cross-functional teams (Engineering, Design, Marketing, Sales, Customer Support) to build products that customers love. Conduct market research, customer interviews, and data analysis to identify new opportunities. Prioritize product features and enhancements based on impact, feasibility, and alignment with business goals. Write detailed product requirements and user stories. Monitor product performance using KPIs and analytics, and iterate as needed. Stay up-to-date with industry trends and competitive landscape.

Description We are looking for an experienced Product Manager (Tech) to join our dynamic team in India. The ideal candidate will have a strong background in product management within the tech industry, possessing the ability to drive product strategy and collaborate effectively with cross-functional teams. Responsibilities Define the product vision and roadmap based on market research and customer feedback. Collaborate with engineering, design, and marketing teams to deliver product requirements and specifications. Analyze product performance metrics and iterate on product features to enhance user experience. Conduct competitive analysis and identify opportunities for product improvement and innovation. Lead cross-functional teams through the product development lifecycle from ideation to launch. Skills and Qualifications Bachelor's degree in Computer Science, Engineering, Business, or a related field. 3-8 years of experience in product management, preferably in a tech environment. Strong understanding of software development processes and agile methodologies. Proficient in using product management tools like JIRA, Trello, or Asana. Excellent communication skills to convey complex technical information to non-technical stakeholders. Strong analytical skills with the ability to interpret data and make data-driven decisions. Experience with user experience (UX) design principles and user research methods.

Job Summary: We are looking for a detail-oriented and analytical MIS Executive & Coordinator to join our team in Noida and Lucknow . The ideal candidate will be responsible for managing Management Information Systems (MIS), generating accurate reports, maintaining databases, and coordinating with cross-functional teams to streamline operations and ensure timely data reporting. Key Responsibilities: Design, develop, and maintain MIS reports and dashboards as per business requirements. Gather, analyze, and interpret data to support decision-making processes. Ensure timely data entry, validation, and generation of daily, weekly, and monthly reports. Coordinate with different departments (Sales, Operations, HR, etc.) to collect relevant data and track performance metrics. Identify gaps in data reporting and suggest process improvements. Prepare presentations and reports for senior management and stakeholders. Maintain databases, ensure data accuracy, and troubleshoot issues related to reporting tools or systems. Handle documentation, filing, and maintain audit-ready records. Required Skills & Qualifications: Bachelors degree in any discipline (B.Com/B.Sc/BCA preferred); MBA or PGDM is a plus. 13 years of experience in MIS/reporting roles. Proficient in MS Excel (VLOOKUP, HLOOKUP, Pivot Tables, Macros, etc.). Working knowledge of MS Office and reporting tools (Power BI/Google Sheets is a plus). Strong analytical and numerical skills. Excellent communication and coordination abilities. Attention to detail and ability to work under tight deadlines. Preferred Qualifications: Experience working with ERP or CRM systems. Ability to manage multiple tasks and prioritize effectively. Knowledge of SQL or data visualization tools will be an added advantage. Location Specifics: Noida: Candidates should be open to working from the head office and coordinating with multiple departments. Lucknow: Candidates will be responsible for local operations coordination and MIS support for the regional team.

Own and drive marketing tactics in close collaboration with the Tech & Alliance and growth marketing team. Assist in developing marketing collateral, promotional content and sales enablement content including email copy, brochures, web copy, presentations and sales material through workflow processes across several teams and touchpoints. Execute awareness and lead generation campaigns with demand generation and digital teams, including managing digital and social marketing, e-mail, webinars and paid search. Collaborate with internal comms team to increase awareness of tech & alliance content, sales enablement and events. Develop a deep understanding of our industries and competitive landscape. Create and manage ticketing system for new marketing projects. Generate, qualify and track leads to support campaign execution. Measure and assess marketing activities, reporting on outcomes and ROI. Create content and promotional assets for industry conferences and ZS-hosted events. What youll bring: Exceptional spoken and written American-English communication skills. Bachelors degree in business discipline, marketing preferred. 2-4 years of marketing experience, professional services or B2B technology marketing (product or solution marketing) preferred. Flexibility to work evening hours, think ahead and leverage time with global colleagues effectively so that individual work achieves maximum impact. Experience translating value propositions into impactful sales materials. Strong MS Office Skills (Word, Excel, PPT etc.), experience with Microsoft Dynamics and marketing automation a plus. Experience working with data and data tools to manipulate, analyze and interpret marketing data and outcome measures. Experience with Gen AI, design, and web tools. Experience balancing multiple tasks and delivering marketing tactics on deadline and within budget. Must be a self-starter with the ability to learn quickly and independently.

What youll do: Sustainability Emissions Reduction related Tasks: Support implementation of emissions reduction strategies aligned with ZSs sustainability goals by collecting and analyzing data, supporting Scope 1, 2, and 3 reduction initiatives (e.g., energy efficiency, sustainable procurement, travel policy updates, operational improvements), integrating sustainability into processes, and exploring innovative solutions for efficiency. Environmental Reporting: Manage and participate in annual environmental reporting, ensuring compliance with global standards, accurate data collection for emissions inventories, audits and certifications (e.g., ISO 14001, ISO 14064), and submissions to platforms like EcoVadis and CDP, while collaborating with stakeholders to ensure consistency and accuracy. Compliance and Risk Management: Facilitate audits for standards like ISO 45001, ISO 45003, ISO 26000, and SA 8000, while supporting climate risk assessments, monitoring regulatory compliance, addressing client sustainability inquiries, and developing internal compliance frameworks to drive continuous improvement. Vendor Management: Provide support as needed for budgeting, planning, and financial tracking of sustainability initiatives, while assisting with vendor selection, contracting, and ensuring alignment with ZSs sustainability goals and compliance requirements. What youll bring: Bachelor s degree with record of high academic achievement in any field with at least 5+ years of experience in sustainability, environmental compliance, or corporate social responsibility roles, preferably in a corporate or consulting environment. Experience with environmental reporting frameworks and standards such as CDP, ISO 14001, ISO 14064-1, Ecovadis etc. Good understanding on sustainability standards such as GRI, SASB for sustainability reporting Proven ability to work cross-functionally with teams such as procurement, operations, and legal to integrate sustainability into business processes. Good communication and inter-personal skills Basic understanding of compliance and Risk assessments Good excel and PowerPoint skills Strong knowledge of environmental regulations, compliance requirements, and industry best practices. Data analysis and reporting skills to interpret environmental data and identify improvement opportunities. Basic Microsoft office understanding (e.g. MS Excel, MS PPT, MS Word, etc.) Additional Skills : Master s Degree on ESG related workstream or subject Desired hands-on experience with greenhouse gas (GHG) accounting, carbon footprint measurement, and emissions reduction initiatives (Scope 1, 2, and 3). Experience in conducting climate risk assessments, materiality assessments, and sustainability-related compliance programs. Project management skills with experience in managing multiple sustainability initiatives simultaneously. Desired knowledge or experience on Archer GRC tool for ESG

Key Responsibilities: End-to-End Project Delivery: Lead and manage the full lifecycle of AI/ML projects from initiation through deployment and maintenance. Team Leadership: Oversee cross-functional teams including data scientists, ML engineers, MLOps specialists, business analysts, and developers. Stakeholder Management: Interface with internal and external stakeholders to define requirements, scope projects, and communicate progress and risks. Project Governance & Methodology: Apply delivery best practices, including Agile, DevOps, and AI-specific workflows (e.g., model lifecycle management, responsible AI practices). Risk and Quality Management: Identify risks early and implement mitigation strategies while maintaining quality standards in model performance, scalability, and compliance. Technical Oversight: Provide technical guidance on AI architectures, data pipelines, model deployment, and monitoring. Work closely with solution architects and technical leads. Budget and Resource Planning: Manage project budgets, forecast resource needs, and optimize team utilization. Client Engagement & Growth: Support business development by contributing to proposals, solutioning, and roadmap planning with AI capabilities. Required Qualifications: 1015 years of experience in project/program management with at least 46 years focused on AI/ML or advanced analytics delivery. Strong understanding of AI/ML technologies, platforms (e.g., AWS/GCP/Azure ML, TensorFlow, PyTorch, etc.), and AI governance practices. Demonstrated ability to deliver AI solutions in production environments, preferably at scale in regulated or enterprise settings. Proven experience managing multi-disciplinary teams across geographies. Excellent communication, negotiation, and presentation skills. PMP, PRINCE2, or Agile certifications are a plus. Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. MBA is a plus. Preferred Experience: Exposure to domains such as finance, healthcare, manufacturing, or retail with real-world AI deployment experience. Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, Airflow, etc.). Familiarity with ethical AI principles, data privacy regulations (e.g., GDPR), and model risk management.

What you ll do: Document current and future staffing commitments as they evolve over the projectlifecycle Coordinate and share information between recruiting, staffing, and HR generalists for newhires Ensure proper tracking of developmental goals, skills, and expertise ofteam Capture demand in the schedulingtools asneeded in coordination with the scheduling leads Produce and distribute standard reports (e.g. capacity, utilization, etc.) Provide ad-hoc reports asneeded Monitor hours reports and highlight exceptions to appropriatepeople Maintain the scheduling system with regular audits to ensure dataintegrity Provide support on tools training as needed withemployees What you ll bring: BA/BS degree required with strong academicperformance 1 year of relevant work experience Training, education, or experience must be relevant to therole Excellent organizational skills and an ability to multi-task Strong analytic skills/comfort with data analysis Strong verbal and written communication skills Attention to detail andcommitment Proficiency with MS Office Suite (Word, Excel, PowerPoint, Outlook)

Eshopbox is looking forward to onboard a committed Product Manager who is motivated enough to combine his analytical, communication and managerial skills in order to administer our customers in the best possible manner The product manager would be responsible for the product planning and execution throughout the product lifecycle, including: gathering and prioritizing product and customer requirements, defining the product vision and working closely with engineering, sales, marketing and support teams to ensure revenue and customer satisfaction Wondering what your Responsibilities would be Responsible for the full product lifecycle, from writing specifications, working across multidisciplinary teams: design, art, and engineering to launch core features within our existing and new products. Manage the planning, scoping, execution and delivery across multiple projects Overviewing the technical implementation of product development. Defining the product architecture, modules, interfaces, and data for a system to satisfy specified requirements. Exhibit sound product discernment, ability to formulate product strategy and present clear measurable objectives that will lead to achieving our business goals. Expected to provide valuable input into business cases based on in-depth data analysis and demonstrate how that analysis impacts key product metrics. Run prioritization and trade-offs among customer experience, technical constraints and business drivers. Expected to develop a deep understanding of our users: their problems, their needs, their desires. Creating product design prototypes. Writing and building rich content/user manuals help guides and documents. Leading and interacting with cross-functional teams, including product design and engineering. What Makes you Eligible Excellent balance of organization and people skills, project management, and a thirst for the new . Technical Background with 2+ years experience in the Saas/ logistics industry, in roles relevant to product management. Experience in working with software development with scrum methodology and Agile framework. Work experience on the internet / eCommerce industry is preferred. Good exposure to SaaS based tools. Quick grasping and self-learning skills. Excellent communication and teamwork skills.

Acommitted Product Manager who is motivated enough to combine his analytical, communication and managerial skills in order to administer our customers in the best possible manner The product manager would be responsible for the product planning and execution throughout the product lifecycle, including: gathering and prioritizing product and customer requirements, defining the product vision and working closely with engineering, sales, marketing and support teams to ensure revenue and customer satisfaction Wondering what your Responsibilities would be Responsible for the full product lifecycle, from writing specifications, working across multidisciplinary teams: design, art, and engineering to launch core features within our existing and new products. Manage the planning, scoping, execution and delivery across multiple projects. Overviewing the technical implementation of product development. Defining the product architecture, modules, interfaces, and data for a system to satisfy specified requirements. Exhibit sound product discernment, ability to formulate product strategy and present clear measurable objectives that will lead to achieving our business goals. Expected to provide valuable input into business cases based on in-depth data analysis and demonstrate how that analysis impacts key product metrics. Run prioritization and trade-offs among customer experience, technical constraints and business drivers. Expected to develop a deep understanding of our users: their problems, their needs, their desires. Creating product design prototypes. Writing and building rich content/user manuals help guides and documents. Leading and interacting with cross-functional teams, including product design and engineering. What Makes you Eligible Excellent balance of organization and people skills, project management, and a thirst for the new . Technical Background with 1+ years experience in the software industry, in roles relevant to project/ program management. Experience in working with software development with scrum methodology and Agile framework. Work experience on the internet / eCommerce industry is preferred. Good exposure to SaaS based tools. Quick grasping and self-learning skills. Excellent communication and teamwork skills

Role Responsibilities: Design and develop scalable Tableau dashboards and visualizations Translate complex business needs into technical specifications and insights Optimize performance while querying and visualizing large datasets Collaborate with teams to deliver actionable business intelligence solutions Key Deliverables: High-performance, reusable Tableau reports and dashboards Consistent reporting standards and templates Advanced data calculations and functions for enhanced insights Accurate and meaningful analytics aligned with user expectations

Description The Trainee Academic Researcher position is an entry-level role designed for freshers who are passionate about research and eager to develop their skills in an academic environment. The successful candidate will assist in various research projects and gain hands-on experience in data collection, analysis, and academic writing. Responsibilities Assist in conducting academic research under the guidance of senior researchers. Collect, analyze, and interpret data to support research objectives. Prepare literature reviews and summarize findings from various sources. Contribute to the writing of research papers, reports, and presentations. Participate in team meetings and collaborate with other researchers. Stay updated with the latest research trends and methodologies in the field. Skills and Qualifications Strong analytical and critical thinking skills. Proficiency in research methodologies and statistical analysis. Familiarity with academic writing and citation styles (APA, MLA, etc.). Basic understanding of data analysis software (e.g., SPSS, R, or Python). Excellent verbal and written communication skills in English. Ability to work independently and as part of a team. Attention to detail and ability to manage multiple tasks effectively.

Genpact -Urgent Hiring-Job Description - Manager Data Analytics & Reporting Power Bi Permanent Role Work Mode: RTO Location: Gurgaon Shift Timing- 12 PM to 12 AM (any 9 hours shift + 1 hour break) Inviting applications for the role of [Manager], [Data Analytics & Reporting]! In this role, the candidate will be dealing with clients and stakeholders to understand their data analytics requirements and will deliver solutions. Responsibilities 1. Own the entire lifecycle of data analytics projects, including planning, execution, monitoring, control, and closure. 2. Liaise with clients and internal stakeholders to identify and define project requirements, scope, and objectives, ensuring their needs are met as the project evolves. 3. Collaborate with operations teams to ensure seamless data collection and analysis. 4. Conduct comprehensive data analysis and interpretation to help our clients and internal stakeholders make data-driven decisions. 5. Present complex and detailed reports, clearly articulating findings, insights, and recommendations. 6. Leverage data analytics tools and software to interpret raw data and translate findings into actionable business insights. 7. Coordinate with different teams to implement data analytics solutions that align with client's business needs. 8. Design, develop, and maintain complex reports and dashboards using reporting tools (e.g., Tableau, Power BI, Alteryx, Adv. Excel). 9. Prepare and publish reports at specified intervals - daily, weekly, monthly, or quarterly to consistently track and analyze business performance and key metrics over time. 10. Ensure the accuracy and reliability of data used in reports, performing data validation and troubleshooting as needed. 11. Ensure the ongoing upkeep of process documentation and standard operating procedures (SOPs). 12. Ensure strict compliance with data privacy and protection guidelines. 13. Provide timely assistance for ad hoc requests Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

Job Summary & Responsibilities The Risk Economics Strats (RES) team is a central part of the Goldman Sachs risk management framework with primary responsibility for: developing macroeconomic and financial scenarios for firm-wide scenario-based risk management. developing and implementing statistical models for credit loss forecasting, business-as-usual risk management and regulatory stress testing requirements; and analyzing large datasets of risk metrics to extract valuable insights about the firm's exposures. To fulfill these objectives, Risk Economics Strats interface with a wide array of divisional, finance and risk management groups across the firm. The cross-disciplinary nature of the projects that RES engages in makes for a challenging and multifaceted work environment. RES professionals are part of the value proposition of the firm, and we balance our key functional responsibility of control and risk management with that of being commercial. RES has strong traditions of risk management, data analytics and career development opportunities for our people. Responsibilities: Research, develop and implement coding infrastructure and environment to facilitate analysis related to scenario development, portfolio idiosyncratic risk,and credit loss impacts. Understand, design, and implement models to capture different risk features critical for the estimation of credit loss impacts. Apply statistical and machine learning techniques as required for risk management purposes. Collaborate with other teams to understand different use-cases in order to develop and refine models. Document loss forecasting, stressed capital models and methodologies for both internal and regulatory requirements. Provide overall support to the team to meet requirements for regulatory stress-testing and business-as-usual risk management calculations. Qualifications: Strong quantitative and analytical skills with advanced degree in a quantitative discipline with hands on experience in handling data, model building and programming. Background in financial modeling, econometric modelling is preferred. Ability to quickly learn and utilize quantitative modeling techniques. Excellent written and verbal communication skills. Strong organizational skills, strong communication and the ability to manage multiple assignments concurrently. Prior work experience: At least 8-14 years of experience in financial modeling, loss forecasting and business analytics related roles. Experience with statistical techniques including segmentation, decision trees and other advanced risk predictive modeling methods. Acquainted with statistical packages (Python, R, etc.) is required, elementary knowledge of data mining and data manipulation tools on big data platforms (Hadoop, Spark, etc.) will be preferred. Any experience with building models for credit ratings , PD / LGD models and loss forecasting will be given preference. Strong writing, presentation, and communication skills; technical writing and documentation experience desired Ability to manage multiple assignments concurrently across various stakeholders. Ability to be operate independently with high degree of ownership and accountability.

Job Description AI Advisory at LTIMindtree helps our clients by combining the best aspects of machine intelligence and rich domain experience to unlock new efficiencies & growth and facilitate game-changing innovations leveraging AI. Responsibilities As part of AI Advisory Team, you will be expected to: Structure high value business problems and design solutions the digital manufacturing and supply chain function by combining best aspects of machine intelligence and rich domain experience. Provide thought leadership to clients at the business head level and help them sharpen their business strategy in developing & implementing AI/GenAI solutions and evangelize for last mile AI adoption. Participate in industry events, conferences, and webinars to showcase our expertise and position us as a thought leader. Develop Proof of Concepts working with client stakeholders and mapping their business pain points and problems to AI needs and leveraging relevant tools and frameworks. Understand and manage the expectations from the engagements to build, deepen and broaden client relationship. Bring alignment between customer's technologists and business leads; help them to explore the art of the possible with generative AI and machine learning, and to develop a roadmap to deliver business value in the most effective way. Improvise on new and innovative AI solutions drive its adoption to the market. Own end to end delivery of, a) large & complex Analytics & AI led transformation programs, b) small and nimble business insights initiatives to realize quick gains. Desired Skills & Experience At least 10 years of experience working in the analytics industry experience in delivering projects related to Data Modernization, predictive plant, Supply chain operations analytics and Digital Twin and having good understanding of key industry challenges and Data complexities Ability to provide thought leadership in the areas of demand planning/ forecasting, inventory planning and optimization, distribution planning and design and systems simulation. Strong analytical thinking and hands-on experience in analytics problem solving. In-depth understanding of AI technologies, including machine learning, natural language processing, generative AI, agentic AI, computer vision, and predictive analytics. Machine Learning and Artificial Intelligence certification from a reputed institute with specialisation in advanced statistical techniques of Supervised and Unsupervised Learning algorithms. Experience with writing communications such as strategy papers or white papers. Participated in the product management and marketing lifecycles (directly or indirectly) A confident communicator with an executive presence, able to clearly explain the program to non-technical and technical audiences. Good to have experience of with cloud- based development and deployment of solutions across one of AWS, GCP or Azure. Should have hired and nurtured talent and grow them in market facing specialists and consultants. Should have built a community of practice on AI. Qualification 1. BE or equivalent qualification in any stream. 2. MBA or Post Graduation or PG Diploma in AI/Data analytics/Dat Science/ Machine Learning/Statistics or relevant fields from a reputed institute 3. Good to have - Certifications in AI/Generative AI/Agentic AI/Machine Learning/Data Science

Job Description AI Advisory at LTIMindtree helps our clients by combining the best aspects of machine intelligence and rich domain experience to unlock new efficiencies & growth and facilitate game-changing innovations leveraging AI. Responsibilities As part of AI Advisory Team, you will be expected to: Structure high value business problems and design solutions the digital manufacturing and supply chain function by combining best aspects of machine intelligence and rich domain experience. Provide thought leadership to clients at the business head level and help them sharpen their business strategy in developing & implementing AI/GenAI solutions and evangelize for last mile AI adoption. Participate in industry events, conferences, and webinars to showcase our expertise and position us as a thought leader. Develop Proof of Concepts working with client stakeholders and mapping their business pain points and problems to AI needs and leveraging relevant tools and frameworks. Understand and manage the expectations from the engagements to build, deepen and broaden client relationship. Bring alignment between customer's technologists and business leads; help them to explore the art of the possible with generative AI and machine learning, and to develop a roadmap to deliver business value in the most effective way. Improvise on new and innovative AI solutions drive its adoption to the market. Own end to end delivery of, a) large & complex Analytics & AI led transformation programs, b) small and nimble business insights initiatives to realize quick gains. Desired Skills & Experience At least 10 years of experience working in the analytics industry experience in delivering projects related to Data Modernization, predictive plant, Supply chain operations analytics and Digital Twin and having good understanding of key industry challenges and Data complexities Ability to provide thought leadership in the areas of demand planning/ forecasting, inventory planning and optimization, distribution planning and design and systems simulation. Strong analytical thinking and hands-on experience in analytics problem solving. In-depth understanding of AI technologies, including machine learning, natural language processing, generative AI, agentic AI, computer vision, and predictive analytics. Machine Learning and Artificial Intelligence certification from a reputed institute with specialisation in advanced statistical techniques of Supervised and Unsupervised Learning algorithms. Experience with writing communications such as strategy papers or white papers. Participated in the product management and marketing lifecycles (directly or indirectly) A confident communicator with an executive presence, able to clearly explain the program to non-technical and technical audiences. Good to have experience of with cloud- based development and deployment of solutions across one of AWS, GCP or Azure. Should have hired and nurtured talent and grow them in market facing specialists and consultants. Should have built a community of practice on AI. Qualification 1. BE or equivalent qualification in any stream. 2. MBA or Post Graduation or PG Diploma in AI/Data analytics/Dat Science/ Machine Learning/Statistics or relevant fields from a reputed institute 3. Good to have - Certifications in AI/Generative AI/Agentic AI/Machine Learning/Data Science

AI Business Advisory at LTIMindtree helps our clients by combining the best aspects of AL/ML and rich domain experience to unlock new efficiencies & growth and facilitate game-changing innovations leveraging AI. This role is ideal for a strategic thinker with deep domain expertise in BFSI and a strong grasp of AI/ML technologies. You will lead high-impact AI transformation initiatives, advise C-level stakeholders, and drive innovation across BFSI lifecycle. Responsibilities As part of AI Business Advisory Team, you will be expected to: Structure high value business problems and design solutions for the Retail Banking, Business Banking/Investment Banking/Commercial Banking/Corporate Banking/Asset & Wealth Management/Insurance domain by combining best aspects of AI / ML and rich domain experience. Provide thought leadership to clients at the business head level and help them sharpen their business strategy in developing & implementing AI/GenAI solutions and evangelize for last mile adoption. Participate in industry events, conferences, and webinars to showcase our expertise and position us as a thought leader. Develop Proof of Concepts working with client stakeholders and mapping their business pain points and problems to AI needs and leveraging relevant tools and frameworks. Understand and manage the expectations from the engagements to build, deepen and broaden client relationship. Bring alignment between customer's technologists and business leads; help them to explore the art of the possible with generative AI and machine learning, and to develop a roadmap to deliver business value in the most effective way. Stay ahead of AI trends, regulatory changes, and emerging technologies in BFSI. Improvise on new and innovative AI solutions drive its adoption to the market. Own end to end delivery of, a) large & complex Analytics & AI led transformation programs, b) small and nimble business insights initiatives to realize quick gains. Desired Skills & Experience At least 10 years of experience working in the analytics industry in Retail Banking/Business Banking/Investment Banking/Commercial Banking/Corporate Banking/Asset & Wealth Management/Insurance domain and having good understanding of key industry challenges and Data complexities. Strong knowledge of AI/ML concepts. Machine Learning and Artificial Intelligence certification from a reputed institute with specialisation in advanced statistical techniques of Supervised and Unsupervised Learning algorithms. Understanding of ethical AI, explainability and regulatory compliance (e.g. GDPR, RBI guidelines etc.) Experience with writing communications such as strategy papers or white papers. Participated in the product management and marketing lifecycles (directly or indirectly) A confident communicator with an executive presence, able to clearly explain the program to non-technical and technical audiences. Good to have experience of with cloud- based development and deployment of solutions across one of AWS, GCP or Azure. Should have hired and nurtured talent and grow them in market facing specialists and consultants. Should have built a community of practice on AI.