9084 Data Analysis Jobs - Page 49

Support data analysis on existing processes and datasets to understand and support Point of Arrival (POA) process design Support and guide determining portfolios, data elements and grain of data required for designing processes Support team review data scenarios and provide clarification on how to report on these scenarios in alignment with regulatory guidance Identify and support business requirements, functional design, prototyping, testing, training, and supporting implementations Support developing functional requirement documents (FRDs) and process specific design documentation to support process and report owner requirements Document and understand core components of solution architecture including data patterns, data-related capabilities, and standardization and conformance of disparate datasets Support the implementation of master and reference data to be used across operational and reporting processes Participate in daily meetings with the pods (implementation groups for various portfolios of the Company for data sourcing and regulatory classification and reporting). Coordinate with various Product Owners, Process Owners, Subject Matter Experts, Solution Architecture colleagues, and Data Management team to ensure builds are appropriate for American Express products Participate on user acceptance testing, parallel run testing, and any other testing required to ensure the build meets the requirements authored including development and execution of test cases, and documentation of results Assist on development of executable testing algorithms that enable validation of the expected system functionality, including replication of deterministic logic and filtering criteria Minimum Qualifications SQL and data analysis experience Product/platform understanding and process design experience Knowledgeable about Financial Data Warehouse and Reporting Solutions (such as ODS, AxiomSL, OFSAA, and Hadoop concepts) Knowledgeable in Data Analytics/profiling Knowledgeable with creating S2T and Functional designs Knowledgeable in creating Data Mappings, analyzing the SOR (System of Record) data, implementing Data Quality Rules to identify data issues in SORs Experience with of MS Excel and Power Query Testing management and execution experience Foundational data warehousing principles and data modeling experience is a plus Agile trained is a plus Financial reporting or accounting experience is a plus A good understanding of the banking products is a plus Exhibits organizational skills with the ability to meet/exceed critical deadlines and manage multiple deliverables simultaneously A self-starter, proactive team player with a passion to consistently deliver high quality service and exceed customers expectations Excellent written and verbal communications with ability to communicate highly complex concepts and processes in simple terms and pragmatically across Finance, Business and Technology stakeholders Excellent relationship building, presentation and collaboration skills Preferred Qualifications Knowledge of US Regulatory Reports (Y9C, Y14, Y15, 2052a, amongst others) Working exposure in data analysis and testing of financial data domains to support regulatory and analytical requirements for large scale banking/financial organizations Experience in development of testing automation capabilities Experience in Cloud capabilities We back you with benefits that support your holistic we'll-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as we'll as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-we'll-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

IAG Analytics & Insights team is looking for those who share our mission and aspirations and are passionate about the use of data and technology in a collaborative, people and risk-focused environment. We are looking for a dynamic leader to drive our Data Management and Business Intelligence (BI) agenda. This role will combine strategic vision with hands-on execution to build and optimize data pipelines, BI solutions, and analytic systems that empower decision-making for the department & enterprise at large Key Responsibilities: Leadership and Strategy Lead and mentor a cross-functional team of BI developers, engineers, and project managers. Define and execute the data and BI strategy, aligning with business priorities. Partner with business stakeholders to prioritize and deliver impactful analytics solutions. Project Management Manage the full lifecycle of BI and analytic projects, including scoping, planning, resource allocation, and timeline management. Ensure projects are delivered on time, within scope and budget, with clear reporting to leadership. Solution Development Guide the development and scaling of data pipelines, reporting systems, and BI tools. Ensure solutions are high-performing, user-friendly, and adhere to data governance standards Support cloud migrations including integration of BI and Machine Learning tools for analytic development & production solutions Provide leadership & oversight for development & deployment of analytic solutions (including advanced analytics) across Audit portfolios Enablement & Adoption Serve as a bridge between business users and technical teams Promote adoption of BI solutions through training, support, and change management Drive process improvement and automation within BI workflows Governance and Compliance Implement and enforce data governance and data quality standards to ensure data integrity and security. Oversee the development and adherence to best practices for data access, reporting, and compliance with industry regulations. Qualifications bachelors degree in Computer Science, Information Technology, Business Administration, or a related field. MBA or advanced degrees preferred. 10+ years of experience in data and business intelligence, with at least 5 years in a leadership or managerial role. Experience with cloud data platforms (AWS, Azure, Google Cloud). Strong expertise in BI tools (eg, Power BI, Tableau, Qlik), automation solutions and data modeling techniques. Experience with data integration, ETL processes, and data warehousing concepts. Proven ability to design and implement end-to-end BI solutions and data architectures. Experience managing cross-functional teams and driving organizational change. Expertise in data governance, security, and compliance best practices. Excellent communication and interpersonal skills, with the ability to engage with both technical teams and business stakeholders. Project management experience and familiarity with Agile methodologies. Strong problem-solving and analytical skills, with a focus on delivering actionable insights from complex data. We back you with benefits that support your holistic we'll-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as we'll as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-we'll-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

Drive Strategic Growth & Revenue Defining the vision and roadmap to transform data as a key asset to power business growth. Modernize Data Management Ongoing data management, data discovery and collaboration across Global Commercial Services Ensure Health of the Commercial Business Striving for 100% reliability of current data platforms and capabilities while developing more agility and scalability for the future Purpose of the Role This role would be focused on solutioning for GCS Data governance, Data Quality (DQ), and managing DQ Issues. This would involve partnering with stakeholders/GCS teams to gather requirements; performing Root Cause Analysis via data mining and analysis, identifying process gaps or monitoring existing solutions; proposing and presenting the possible solutions to the leaders/stakeholders and if required, working with technology for development of scalable Data Quality solutions. Responsibilities Accountable for the necessary remediation of data quality Issues originating from business processes and accountable for notifying key stakeholders on remediation activities Ensure data quality Issues are captured, managed, and have a plan for remediation that is thorough, complete, and timely to ensure a comprehensive fix is completed. Writing and executing SQL and python scripts to analyze/profile data and solution for data quality issues in a big data environment and propose robust data quality controls. Knowledge of business data and systems that your domain/business unit produce and consume. Participate in project meetings and communicate effectively with leaders, peers, architects, system analysts, project managers & others, reporting project status as required. Utilize data quality and data profiling tools to solution for DQ framework/issue. Understand, gather, and translate project/user requirements into we'll-defined features/user stories with testable acceptance criteria, via collaboration with multiple stakeholders on requirements and prioritization Work closely with the technology team to develop, test and deliver the defined deliverables. Perform Unit Acceptance Testing (UAT) before accepting the stories. Raise if any bugs/gaps are identified and get that fixed with technology team. Provide proactive solutioning to any sprint blockers. Understanding of data management concepts and practices such as data security, data quality, meta data. Responsible for building scalable data Quality frameworks for enterprise projects. Minimum Qualifications: Business Outcomes: Deliver high quality & accurate Data Quality solutioning within deadlines. Understanding the gaps and remediating the same as per business requirements. Accountable for the Agile delivery framework. Tracking progress and sharing project updates to ensure stakeholder satisfaction. Academic Background & Past Experience MBA or Bachelor/Advanced degree in science, computer science, information technology, information management 2-5 years of relevant experience as product/business analyst Functional Skills/Capabilities Strong stakeholder management and excellent written & verbal communication. Experience in requirement gathering, product management, backlog creation, project tracking and comprehensive documentation. Experience with Agile Scum process and principles and actively leading Agile ceremonies (Scrum, Grooming, Retrospective) Ability to multi-task with high precision & quality delivery. Ability to independently drive, track and ensure accurate delivery. Technical Skills/Capabilities Strong SQL/Python and MS Excel- data querying and analysis. JIRA for User Stories and Agile Scrum Management. Confluence, MS Word & PowerPoint for documentation. MS Excel knowledge and SQL/Hive for data analysis. ML experience a plus but not compulsory. Understanding of Data Governance, Data Quality, Data lineage, and Data Transformation is a plus. Preferred Qualifications: A good balance of technical knowledge and business acumen. We back you with benefits that support your holistic we'll-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as we'll as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-we'll-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

Total Experience 58 years with 4+ years of relevant experience Skills Proficiency on Databricks platform Strong handson experience with Pyspark , SQL, and Python Any cloud Azure, AWS, GCP Certifications (Any of the following) Databricks Certified Associate Developer for Spark 3.0 Preferred Databricks Certified Data Engineer Associate Databricks Certified Data Engineer Professional Mandatory Skill Sets Databricks,Pyspark, SQL,Python, Any cloud Azure, AWS, GCP Preferred Skill Sets Related Ceritfication Databricks Certified Associate Developer for Spark 3.0 Preferred Databricks Certified Data Engineer Associate Databricks Certified Data Engineer Professional Education Qualification BE, B.Tech, ME, M,Tech, MBA, MCA (60% above) Education Degrees/Field of Study required Master of Engineering, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Microsoft Azure Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion

The Services Portfolio Management team is looking for a Senior Analyst, Big Data Analytics & Engineering to build a new product that will serve actionable insights to all Programs under Mastercard Services Portfolio. The ideal candidate should have a proven ability to analyze large data sets and effectively communicate their findings. They must have prior experience in product development, be highly motivated, innovative, intellectually curious, analytical, and possess an entrepreneurial mindset. Role Build a solution stack for a dashboard including front end in PowerBI/Tableau, data integrations, database models, ETL jobs, etc Identify opportunities to introduce Automation and AI tools into workflows. Translate product requirements into tangible technical solution specifications and high quality, on time deliverables. Partner with other automation specialists across Services I&E to learn and build best practices for building and running the Portfolio Cockpit tool. Identify gaps and conceptualize new product/platform capabilities as required. Proactively identify automation opportunities All About You Experience with data analysis, with a background in building KPIs and reporting. PowerBI experience preferred or other reporting tools like Tableau, DOMO. Experience with PowerApps or other No/Low-code app development tools is a plus Experience in systems analysis and application design and development. Ability to deliver technology products/services in a high growth environment where priorities change rapidly. Proactive self-starter seeking initiatives for advancement. Understanding of data architecture and some experience in building logical/conceptual data models or creating data mapping documentation. Experience with data validation, quality control, and cleansing processes for new and existing data sources. Strong problem-solving, quantitative, and analytical skills. Advanced SQL skills, ability to write optimized queries for large data sets. Exposure to Python, Scala, Spark, Cloud, and other related technologies is advantageous. In-depth technical knowledge, and ability to learn new technologies. Attention to detail and quality. Team player with effective communication skills. Must be able to interact with management, internal stakeholders, and collect requirements. Must be able to perform in a team, use judgment, and operate under ambiguity. Experience in leveraging generative AI tools to enhance day-to-day tasks is beneficial.

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powe'red by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. we'reward your contributions, support your we'llbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other Responsibilities Experience in Internal Audit/ Process Audit concepts & methodology Processes, Subprocesses, and Activities as we'll as their relationship Must be proficient in MS Office Sarbanes Oxley Act (SOX)/ IFC Reviews, SOP s Internal control concepts (eg, Preventive Controls; Detective Controls; Risk Assessment; Antifraud Controls; etc) Mandatory skill sets Experience in Internal Audit/ Process Audit concepts & methodology Processes, Subprocesses, and Activities as we'll as their relationship Sarbanes Oxley Act (SOX) Internal control concepts (eg, Preventive Controls; Detective Controls; Antifraud Controls; etc) IT System(s) in use/ ERP Environment Other applicable common laws (eg, Income Tax Act 1967, Companies Act 1956, Prevention of Food Adulteration Act, etc) Comfortable working on an IC model or leading a team of Specialist/ Associate Collaboration with the different stakeholders on the complex assessment issues to develop possible recommendations Documents findings and proposes recommendations that deal with root cause of issues and impact to the organization Should be able to assist with the timely completion of tasks, development of client deliverables and status reporting. GRCAPM Preferred skill sets C lient and internal stakeholder management Project / d elivery management Experience with analysis in high volume data environments. Years of experience required 13 Years Education qualification CA Education Degrees/Field of Study required Chartered Accountant Diploma Degrees/Field of Study preferred Required Skills Internal Audit Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Emotional Regulation, Empathy, Financial Accounting, Financial Audit, Financial Reporting, Financial Statement Analysis, Generally Accepted Accounting Principles (GAAP)

We are looking to hire colleagues with advance data science and analytics skill to support our financial crimes team You will play a crucial role in helping clients tackle the multifaceted challenges of financial crime By utilizing advanced analytics and deep technical knowledge, our team aids top clients in reducing risks associated with financial crime, terrorist financing, and sanctions violations We also work to enhance their screening and transaction monitoring systems Our team of specialized analysts ensures that leading financial institutions adhere to industry best practices for robust programs and controls Through a variety of project experiences, you will develop your professional skills, assisting clients in understanding and addressing complex issues, and implementing top-tier solutions to resolve identified problems Minimum work experience: 3+ years of advance analytics Preferred experience: 1+ years in AML model validation Responsibilities Support functional SME teams to build data driven Financial Crimes solution Conduct statistical testing of the screening matching algorithms, risk rating models and thresholds configured for detection rules Validate data models of AML systems built on systems such as SAS Viya, Actimize, Lexis Nexis, Napier, etc Develop, validate, and maintain AML models to detect suspicious activities and transactions. Conduct Above the Line and Below the Line testing Conduct thorough model validation processes, including performance monitoring, tuning, and calibration. Ensure compliance with regulatory requirements and internal policies related to AML model risk management. Collaborate with cross-functional teams to gather and analyze data for model development and validation. P erform data analysis and statistical modeling to identify trends and patterns in financial transactions. Prepare detailed documentation and reports on model validation findings and recommendations. Assist in feature engineering for improvising Gen AI prompts applicable for automation of AML / Screening related investigations Use advanced Machine Learning deployment (eg XGBoost) and GenAI approaches Criteria: bachelors degree from accredited university 3+ years of complete hands-on experience in Python with an experience in Java, Fast, Django, Tornado or Flask frameworks Working experience in Relational and NoSQL databases like Oracle, MS SQL MongoDB or ElasticSearch Proficiency BI tools such as Power BI, Tableau, etc Proven experience in data model development and testing Education background in Data Science and Statistics Strong proficiency in programming languages such as Python, R, and SQL. Expertise in machine learning algorithms, statistical analysis, and data visualization tools. Familiarity with regulatory guidelines and standards for AML Experience in AML related model validation and testing Expertise in techniques and algorithms to include sampling, optimization, logistic regression, cluster analysis, Neural Networks, Decision Trees, supervised and unsupervised machine learning Preferred experiences: Validation of AML compliance models such as statistical testing of customer / transaction risk models, screening algorithm testing, etc Experience with developing proposals (especially new solutions) Experience working AML technology platforms eg Norkom, SAS, Lexis Nexis, etc Hands on experience with data analytics tools using Informatica, Kafka, etc

As a member of this dynamic team, you will be responsible for Maintain and improve large data sets,identifying opportunities to automate and optimize manual processes, fostering a culture of continuous improvement. You will guide your peers in leveraging automation to streamline operations and deliver tangible results. If you're passionate about AI , thrive in a fast-paced, self-driven environment, and want to leave a lasting impact on the business, this is the perfect role for you. We seek a highly skilled member with Strong understanding of financial concepts, corporate events, and data certification, a proven track record in developing large-scale, reliable platforms from the ground up, not just applications or solutions. Experience in delivering multiple successful versions of platforms over time is a key advantage. you'll collaborate closely with teams across product , research , operations , and program management , ensuring that the platforms you build are not only built to last but deliver immediate and long-term value. This is a highly visible and impactful role that offers the opportunity for long-term growth within MSCI . Your Responsibilities Take lead in creating data validation process to maintaing and improve large data sets. To find panic areas where processes can be improved and automated through advanced AI tools and programming solutions. Spearhead key projects aimed at upgrading outdated systems, introducing innovative methods to boost operational performance. Offer support and guidance to colleagues in utilizing tools such as Python, Power BI, SQL, and machine learning to enhance the teams technical capabilities. Partner with various teams, including product development, research, and operations, to ensure cohesive project execution and solution delivery. Contribute to the creation and implementation of reliable, scalable systems that meet both immediate needs and long-term goals. Encourage ongoing assessment of existing processes and recommend new strategies to improve operational efficiency and effectiveness. Use data analytics and visualization techniques to support informed decision-making and drive strategic initiatives Skills and experience that will help you excel 2-4 years of relevant experience with a solid understanding of financial principles and their application in capital markets. Experience in automating manual processes to improve efficiency. Basic programming skills for automation, data analysis, and database management. Expertise in data visualization and reporting using Power BI. Proven track record of building scalable, reliable platforms from the ground up. Ability to guide teams in driving transformation and identifying optimization opportunities. Strong cross-functional teamwork with product, research, operations, and management teams. Skilled in identifying inefficiencies and creating innovative solutions. Ability to thrive in fast-paced, evolving environments with long-term commitment to projects. Preferred Skills: Knowledge and hands-on experience in AI fundamentals, prompt engineering, and machine learning techniques. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall we'llbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followe'd by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women s Leadership Forum.

As a member of the NAND & Drive Qualification team, you'll be actively engaged in all phases of the product development cycle with a focus on demonstrating the capabilities of PURE s DFMs. As part of the drive qualification group, your leadership in areas of SSD/NVMe/ OCP spec test, troubleshooting, and analysis of results will be utilized to drive progress with qualification efforts. What you'll be doing: Incorporating tests into a common framework Develop automation support for new test Developing centralized hosting of test output Visualization support for test Support development of metrics Architecture for the above, code for the above, maintenance, effectiveness An overview of your responsibilities includes; Developing Automation Frameworks for SSD Qualification Test suites, Architect & Develop unified test frameworks that Integrate out of the box Test Suites for NVMe/OCP/other SSD standards along with In-house Test suites for SSD Qual Develop Automation support for deploying new SSD Qual tests at scale Use your strong scripting language skills to develop and automate tests and minimize qualification testing cycles Proactively define/develop new SSD qualification tests targeting specific SSD management features and functions, new requirements, exposure to field issues etc Develop, maintain and continuously improve the effectiveness & efficiency of comprehensive qual platform Automated Debug tools to speed up test vs product debug efforts Driving Automation of Data Analysis & Visualization of Qualification test results Develop Automated solutions to Extract, Analyze & Centrally Host Validation data Develop Automated Data Visualization dashboards to help drive Drive Qualification decisions on volume test data at scale Use your background in storage system validation or design to proactively identify, and support the development of metrics Drive improvements in the qualification processes as you observe execution & tool usage Brainstorm methods and procedures to evolve our team s effectiveness Proactively define/develop new SSD qualification tests with focus on OCP spec - features and functions , new requirements, exposure to field issues etc Improve qualification processes that actively enhance efficiency, consistency, reporting and vendor relationships. Participate in various team activities aimed at developing testing process, Perceived as highly skilled In Python based scripting & SW architecture Experienced in leveraging data engineering/science frameworks The ideal candidate would be someone who is a team player and perceived as highly skilled in test development/debugging for hardware/firmware/system validation needs. WHAT you'll NEED TO BRING TO THIS ROLE... 12+ years experience developing software to validate hardware components/systems with strong SW & HW debug skills SW architecture & Solution design experience is desirable Strong knowledge of NAND Flash, Firmware Architecture/Design in Solid State Drive (SSD) or similar storage domain Strong SW Development skills in Python with exposure to OOP; C++ experience is a plus. Knowledge of PCIe/NVMe/OCP, Firmware Architecture/Design in Solid State Drive (SSD) or similar storage domain is a plus Experience in a hardware testing/software testing validation lab for SSDs or Embedded industry segments B.E. or M.E in Electrical Eng, Electronics & Communication Eng, Computer Eng Experience working with complex data models and analysis Experience working at enterprise data storage systems, SSD companies or related component vendors. Experience developing & maintaining CI/CD pipelines for test automation Knowledge/experience with Jenkins & GIT Independent ability to devise, implement, automate and refine qualification methods Strong knowledge of hardware design, storage architectures and storage interfaces Experience with failure modes of flash-based devices WHAT YOU CAN EXPECT FROM US: Pure Innovation : We celebrate those who think critically, like a challenge and aspire to be trailblazers. Pure Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been Named Fortunes Best Large Workplaces in the Bay Area , Fortunes Best Workplaces for Millennials and certified as a Great Place to Work ! Pure Team : We build each other up and set aside ego for the greater good

The Revenue Operations Analyst at Argano supports the Revenue Operations function. The candidate should be extremely meticulous with financial and other operational data, which will help to monitor and enhance the performance of company s revenue streams. The candidate will be responsible for analyzing financial and operational data, identifying trends, and making recommendations to optimize operations, pricing, sales performance, and overall profitability. The role requires strong analytical skills, an ability to work with large data sets, and a deep understanding of revenue management practices. This role will be required to work closely with cross-functional teams and business leaders across the organization. RESPONSIBILITIES: Analyze sales, delivery and financial data to identify trends and variances in revenue performance. Monitor revenue streams and assess factors influencing profitability, such as pricing strategies, customer behaviors, and market conditions. Collaborate with sales, marketing and allied revenue teams, delivery teams and finance teams to provide actionable insights and recommendations to drive revenue growth. Develop and maintain revenue forecasting models to support financial planning and strategic decision-making. Prepare detailed reports and presentations on revenue trends, forecasting accuracy, and performance against targets. Identify opportunities to optimize pricing models, discount structures, and product mix for improved profitability. Ensure data accuracy by validating information from multiple sources and coordinating with cross-functional teams. Stay updated on market trends, competitor pricing strategies, and changes in industry standards. Support the finance team in month-end and year-end close processes, ensuring accurate revenue recognition and reporting. Assist in designing efficient processes to streamline data analysis and reporting. Minimum and/or Preferred Qualifications: EDUCATION: bachelors degree in Finance, Business, Economics, or a related field preferred. EXPERIENCE: 4-5 years of proven experience as a Revenue Analyst or similar role. Strong analytical skills and ability to interpret complex financial data. Proficiency in financial modeling, forecasting, and data analysis tools (Excel, SQL, or similar). Experience with revenue management systems and ERP software. Excellent communication and presentation skills. Ability to work in a fast-paced environment and meet tight deadlines. Strong attention to detail and problem-solving abilities. SKILL REQUIREMENTS - Financial Analysis and Modeling: Proficiency in financial modeling Accounting Principles: Strong understanding of accounting and financial reporting/statements. Technical Proficiency: Advanced skills in MS Excel and PowerPoint. Analytical Skills: Strong analytical and problem-solving abilities. Communication: Effective verbal and written communication skills. Attention to Detail: High level of accuracy and attention to detail. Team Collaboration: Ability to work with cross-functional teams. Professionalism: High integrity and professional behavior.

Looking for selfdriven professionals having sound logical and analytical abilities and keen interest in consulting domain. Prior experience in consulting is a plus but not a must . we are looking for candidates with at least 3 years experience in consulting or business with academic background in business, finance, management, economics, planning, and engineering. Some examples of works undertaken by us industrial development & investment promotion, market assessment, market entry strategy, driving strategy & transformation projects. Key responsibilities include Independently lead modules for project deliverable while ensuring quality. Support leadership in client management for project. Support in business development initiatives. Support in developing thought leadership content for the practice. Mandatory skill sets Data analysis, investment strategy, market assessment, mathematical modelling, business plan preparation, consulting report/ collateral preparation Preferred skill sets Industrial infrastructure, manufacturing sector landscape, regulatory process for setting up manufacturing plant in India, Education qualification Post graduate (preferably MBA/ PGDM) Education Degrees/Field of Study required Postgraduate (Diploma), Master of Business Administration Degrees/Field of Study preferred Required Skills Investment Strategies Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Business Case Development, Business Process Improvement, Change Control Processes, Communication, Costing, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, IT Project Lifecycle, Kanban (Project Management), Optimism, Plan of Action and Milestones (POA&M), Process Mapping, Process Standardization, Program Management, Project Budgeting, Project Coordination, Project Delivery, Project Documentation, Project Governance

We areseeking a highly skilled Oracle Technical Consultant to join our team. Theideal candidate will have extensive experience in Fusion Reporting, OTBIReports, and BI Publisher, along with a strong background in SQL and OraclesCloud ERP Financials Module. This role involves meeting with technicalstakeholders, gathering and documenting requirements, and providing detailedspecifications for reporting requirements. Key Responsibilities: Meet with technical stakeholders to provide status updates and discuss requirements and technical directions for development efforts. Gather and document requirements, perform analysis, and create detailed specifications for reporting requirements. Document specifications, both technical and functional, using agreed-upon specification templates. Develop and maintain Fusion Reporting, OTBI Reports, and BI Publisher reports. Utilize strong SQL skills to support reporting and data analysis needs. Apply functional knowledge of Oracle ERP Cloud applications, particularly in financials and supply chain management, to support business requirements. Demonstrate basic knowledge of Visual Builder Cloud Service (VBCS) and extension capabilities. Required Technical Skills: Strong hands-on experience in Fusion Reporting, OTBI Reports, and BI Publisher. Very strong SQL experience. Strong familiarity with Oracles Cloud ERP Financials Module. Functional knowledge of Oracle ERP Cloud applications, specifically in financials and supply chain management. Basic knowledge of Visual Builder Cloud Service (VBCS) and extension capabilities. Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field. Proven experience as an Oracle Technical Consultant or in a similar role. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Strong problem-solving skills and attention to detail. Preferred Qualifications: Oracle certification in relevant modules. Experience with other Oracle Cloud applications and tools. Previous experience in a consulting environment.

We are seeking a highly skilled Systems Analyst with deep expertise in Agentic AI and the end-to-end development of AI agents for business applications. In this pivotal role, you will drive the design, implementation, and optimization of intelligent AI agents that automate, enhance, and transform business processes across the organization. Analyze business requirements and identify opportunities for applying Agentic AI and autonomous AI agents to solve real-world business challenges. Design, develop, and deploy advanced AI agents using leading AI platforms (eg, OpenAI, Google Vertex AI, Microsoft Azure AI, Amazon Bedrock, Anthropic Claude, Hugging Face) to automate workflows, enhance productivity, and deliver business value. Architect agent-based solutions tailored to specific business needs, including task automation, intelligent decision-making, and process orchestration. Collaborate closely with business and technical stakeholders to define agent capabilities, success metrics, and integration points with existing systems. Oversee the complete Software Development Life Cycle (SDLC) for AI agent solutions, including requirements gathering, prototyping, development, testing, deployment, and ongoing support. Ensure AI agents are robust, secure, and scalable, with strong monitoring and feedback loops to enable continuous improvement. Troubleshoot, optimize, and refine AI agent behaviors based on user feedback, business outcomes, and data-driven insights. Stay current with the latest advancements in Agentic AI and autonomous agents, proactively recommending and implementing innovative solutions to keep Visa at the forefront of AI-driven business transformation. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications: 3 or more years of work experience with a Bachelor s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) Bachelor s degree in computer science, Information Technology, or a related field. Minimum of 5 years experience in Agentic AI and AI Powered chatbot development, including hands-on experience with trending AI platforms such as OpenAI (ChatGPT, GPT-4), Google Vertex AI, Microsoft Azure AI, Amazon Bedrock, Anthropic Claude, and Hugging Face. Proficiency with chatbot frameworks such as Dialogflow, Microsoft Bot Framework, Rasa, or Amazon Lex. Strong knowledge of the full Software Development Life Cycle (SDLC), including development, testing, and support. Solid programming skills in languages commonly used for AI and chatbot solutions (e.g., Python, JavaScript). Experience working with APIs and integrating AI/chatbot solutions with third-party platforms. Excellent analytical and problem-solving skills, with the ability to address complex technical challenges. Strong communication skills, with the ability to present technical concepts clearly to diverse audiences. Proven ability to work independently and manage multiple projects in a fast-paced environment. Demonstrated experience in Process Discovery, Development, User Acceptance Testing, and related disciplines. High degree of proficiency in data analysis tools and methods. Demonstrated experience in Process Discovery, Development, User Acceptance Testing, and related disciplines. High degree of proficiency in data analysis tools and methods.

Role/Designation: Data Scientist Location: Gurgaon Level/ Band: Band C (Manager/ Sr. Manager) Brief about the role/ team/ candidate requirement: We are looking for a motivated and highly skilled Data Scientist to join our Flight Safety team. This role will be pivotal in using advanced data analytics and machine learning techniques to enhance flight safety decisions and processes. The candidate will work with time-series, multi-variate data to detect anomalies, identify patterns, and build predictive models that support safety management. The ideal candidate should have a strong foundation in data science, machine learning, and deep learning techniques, along with expertise in applying these skills in the aviation safety domain. The candidate will play a key role in developing algorithms, performing exploratory data analysis, and utilizing artificial intelligence tools to forecast potential safety risks, providing valuable insights for strategic safety decisions. Qualification & Experience: Educational Requirements: Engineering graduate with a specialization in Data Science or a related field. Completion of a Data Scientist course or equivalent certification. Experience: A minimum of 6 years of hands-on experience working directly with data, particularly in the context of data science and machine learning. Skill set: Data analysis Anomaly detection Machine learning Big data analytics Programming skills Job responsibilities: Data analysis expertise: Ability to conduct exploratory data analysis to uncover patterns, trends, and insights from complex datasets. Anomaly detection: Expertise in anomaly detection techniques for time-series, multi-variate data, with a focus on identifying outliers and irregular behavior. Machine learning and deep learning: Strong understanding of data science methodologies, machine learning algorithms, and deep learning architectures such as Artificial Neural Networks (ANN), Recurrent Neural Networks (RNN), and Convolutional Neural Networks (CNN). Big data analytics: Proficient in utilizing AI and machine learning techniques for big data analytics, with the goal of predicting and mitigating potential safety risks. Programming skills: Expertise in Python and MATLAB for data manipulation, modeling, and algorithm development. Algorithm development: Strong ability to formulate custom algorithms tailored to specific requirements, ensuring accurate results in the context of flight safety and operational excellence. Data collection: Proficiency in gathering and preprocessing data from various sources to ensure high-quality datasets for analysis and modeling.

Roles and Responsibilities Prepare MIS reports, dashboards, and presentations using advanced Excel skills. Manage data analysis and interpretation to provide insights for business decisions. Collaborate with stakeholders to gather requirements and deliver high-quality outputs on time. Ensure accuracy, completeness, and timeliness of all reports and analyses.

Job Overview: We are looking for a skilled Python and Data Science Programmer to develop and implement data-driven solutions. The ideal candidate should have strong expertise in Python, machine learning, data analysis, and statistical modeling. Key Responsibilities: Data Analysis & Processing: Collect, clean, and preprocess large datasets for analysis. Machine Learning: Build, train, and optimize machine learning models for predictive analytics. Algorithm Development: Implement data science algorithms and statistical models for problem-solving. Automation & Scripting: Develop Python scripts and automation tools for data processing and reporting. Data Visualization: Create dashboards and visual reports using Matplotlib, Seaborn, Plotly, or Power BI/Tableau. Database Management: Work with SQL and NoSQL databases for data retrieval and storage. Collaboration: Work with cross-functional teams, including data engineers, business analysts, and software developers. Research & Innovation: Stay updated with the latest trends in AI, ML, and data science to improve existing models.

Key Responsibilities: - Develop and implement CRM strategies to enhance customer engagement and loyalty. - Manage and optimize the CRM database, ensuring data accuracy and integrity. - Analyze customer data and behavior to identify trends and insights for targeted marketing campaigns. - Collaborate with marketing, sales, and customer service teams to ensure a cohesive approach to customer interactions. - Design and execute customer segmentation strategies for personalized communication. - Monitor and report on CRM performance metrics, providing insights and recommendations for improvement. - Train and support team members on CRM tools and best practices. - Stay updated on CRM technologies and industry trends to leverage new opportunities. Qualifications: - Bachelor's degree in Marketing, Business Administration, or a related field. - 3+ years of experience in CRM management or a similar role. - Strong analytical skills and experience with data analysis tools. - Excellent communication and interpersonal skills. - Ability to work collaboratively in a fast-paced environment. - Knowledge of digital marketing strategies and customer engagement tactics.

Looking for Assistant Manager – Quality Control with 5+ yrs exp in US-based firms. Must have expertise in quality audits, RCA, team handling, MS Office, and process improvement. ISO, PMP, or Six Sigma certification preferred

Position Title: Business Data Intelligence Reports To: Functional Head Job Location: Jaipur / Hong Kong Employment Type: Full-Time Salary: Best in Industry Looking from Real Estate firm only Job Summary: The Data Analyst is responsible for collecting, analysing, and interpreting large datasets to support business decision-making. This role requires the ability to generate actionable insights, build data reports, and work with cross-functional teams to optimize business performance. The Data Analyst will collaborate closely with other departments to understand their data needs and deliver data-driven solutions that align with the company's strategic objectives. Key Responsibilities: Data Collection & Management: Collect and aggregate data from various sources, including databases, spreadsheets, people and external platforms. Ensure data integrity and accuracy by organizing, and validating datasets. Develop and maintain databases or data information systems as necessary. Data Analysis: Perform detailed data analysis using statistical techniques to identify patterns, trends, and insights. Utilize data visualization tools to present data in a clear and understandable way for non-technical stakeholders. Analyse large and complex datasets to solve business problems and inform decisions. Reporting & Visualization: Create reports, dashboards, and visualizations to track key performance indicators (KPIs) and business metrics. Present findings to key stakeholders, making recommendations based on data insights. Provide ad-hoc reports and data queries as needed by different teams within the organization. Collaboration with Teams: Work closely with business units (Sales, finance, operations, etc.) to collect data on timely basis. Work closely with the existing MIS team to understand, analyse and interpret the data. Help design and implement new analytical tools and processes that improve data-driven decision-making across the company. Predictive Analytics & Forecasting: Use statistical models and machine learning techniques to forecast trends and predict future outcomes. Assist in developing predictive models to support strategic planning and operational decisions. Data Governance & Compliance: Ensure adherence to data privacy regulations and best practices in data security. Work with legal and compliance teams to ensure data is used ethically and in accordance with company policies. Process Improvement: Identify opportunities for process improvement through data-driven insights. Recommend data collection methods and tools to enhance the quality and efficiency of business processes. Data Quality Assurance: Regularly review and assess the quality of data. Implement processes for ongoing data validation and verification to minimize errors. Qualifications: Education: Bachelors/Masters degree in Data Science, Computer Science, or a related field. Experience: 3 - 6+ years of experience in data analysis or a related field. Skills: Experience with statistical analysis and predictive modelling. Ability to interpret complex data sets and translate findings into actionable business insights. Strong communication and presentation skills, capable of conveying data findings to both technical and non-technical audiences. Add On: Strong proficiency in data analysis tools such as Excel, SQL, Python, R, and data visualization tools like Power BI, Tableau or Oracle BI. Knowledge of databases and experience with relational databases (e.g., MySQL, PostgreSQL ).

Dream Game Studios is a game developer and publisher building console-quality realistic mobile games of international standards from India. The company is a division of Dream Sports, which has been featured as a Great Place to Work by the Great Place to Work Institute for four consecutive years, with brands such as Dream11, FanCode, DreamSetGo, and Dream Foundation in its portfolio. Founded by Indias gaming industry veterans credited with multiple international award-winning games, Dream Game Studios mission is to reach the hearts of players through deeply engaging, visually stunning, and technically outstanding games. For more information: https: / / www.dreamgamestudios.in / Your Role Drive the vision for UI/UX design that balances business objectives with player satisfaction Lead multidisciplinary teams across UX, UI, motion, and graphics design in creating end-to-end engaging, intuitive, and monetizable player experiences Collaborate with Product, Game Design, Engineering, Marketing and Art to ensure a cohesive and player-centric experience Establish and maintain design systems, style guides, and best practices for consistent player experiences Drive user research and A/B testing with data teams to uncover insights for iterative design improvement. Guide career development and growth opportunities for designers on the team Proactively seek and recruit top talent to continually elevate the design teams standards Stay current with mobile gaming trends, competitor analysis, and emerging design technologies Must Have 7+ years of experience in UX design, with a focus on mobile games Proven track record of managing, mentoring, and scaling high-performing design teams Deep understanding of user-centered design principles, player psychology, engagement loops, and system design Expert in Figma with experience with Adobe XD, Sketch or equivalent Strong body of work showcasing expertise in interaction design, information architecture, and visual design Passionate about gaming and/or sports Good To Have Familiarity in user research methodologies, including usability testing, A/B testing, and data analysis

As a Sales Compensation Senior Analyst, you will report to the Director of Sales Compensation and join a dynamic, fast-paced team. This role involves working cross-functionally with Finance, Sales, Sales Operations, Accounting, Payroll, and HR teams to ensure the accuracy and timeliness of sales commissions, SPIFFs, and other variable incentives. You will be responsible for commission calculations, tracking bookings & crediting, managing monthly payroll accruals and managing system changes, supporting the day-to-day operations of the global sales compensation program. What You ll Do: Administer all aspects of commissions using Xactly or spreadsheets, including calculating and validating monthly commission payments based on Sales Compensation plan provisions. Collaborate with Sales Operations and Deal Desk to ensure accurate and timely sales bookings data, meeting critical monthly commission payout deadlines. Troubleshoot and resolve calculation or data errors within Xactly, Salesforce and Workday. Working with the Accounting team you will support commission accrual processes, including variance analysis between accruals and actual payouts. Address Sales Compensation-related inquiries or issues in partnership with Sales Operations. Create, validate, and audit monthly reports to ensure the accuracy and completeness of commission crediting and payout results. Present insights to senior leadership and make recommendations to improve plan performance and alignment. Build clear documentation and conduct training for sales teams on comp plans, KPIs, and payout mechanisms. Serve as a go-to expert for questions and clarifications. Payroll Accruals & Processing: Perform monthly sales compensation accruals and work closely with the Payroll and Finance teams to ensure accurate reporting and payouts. Extract, transform, and analyze data from Salesforce and Xactly for compensation processing and audit support. Ensure proper handoff of commission data for payroll processing and reconciliation. What You Bring: 5+ years of experience in sales compensation and analysis, month-end accrual and close processes, and reporting activities. Experience using Xactly Incent platform, Salesforce, NetSuite and Workday. Drive automation and improvements in incentive operations. Self-starter with strong communication, customer service, and problem-solving skills. Proven ability to multitask, prioritize, and meet deadlines in a fast-paced environment. Experience in data analysis, modelling, and financial analysis. Adaptability and ability to manage multiple responsibilities in a dynamic setting. Deep knowledge and experience using Xactly Incent program and NetSuite Experience with process improvements and implementing system enhancements in Sales Compensation. Strong analytical skills with attention to detail and accuracy.

Growth Strategy Development : Define, build, and execute a comprehensive growth strategy to drive customer acquisition and engagement across various channels. Identify and prioritize growth opportunities, setting key performance indicators (KPIs) and establishing benchmarks. Data Analysis & Experimentation : Analyze user data and market trends to inform growth strategies and enhance customer insights. Design and execute A/B tests and other experimentation frameworks to optimize conversion rates and improve user experience. Monitor, measure, and report on the effectiveness of growth campaigns, adjusting strategies as needed based on insights. Cross-Functional Collaboration : Partner with Product, Marketing, Sales, and Customer Success teams to align growth objectives and ensure seamless execution. Collaborate with Product and Engineering teams to improve customer journey and develop features that drive growth. Work closely with the Marketing team to optimize campaigns and align messaging with growth objectives. Customer Lifecycle Management : Develop and execute customer retention strategies, focusing on increasing engagement, reducing churn, and maximizing lifetime value. Manage lead generation funnels and nurture campaigns to drive conversions and customer loyalty. Channel Optimization : Oversee and optimize various growth channels, including SEO, paid acquisition, email, content marketing, partnerships, and social media. Experiment with new and emerging platforms to identify untapped growth opportunities. Performance Tracking & Reporting : Track and report on key growth metrics, providing actionable insights to leadership and other stakeholders. Ensure accurate attribution of growth efforts to specific channels or initiatives. Revenue Targets Achieve revenue target. Requirements: Bachelor s degree/ Master s in Marketing, or a related field (MBA or equivalent experience preferred). 6+ years of experience in a growth, marketing, or product role preferably in SAAS companies, ideally in a startup or high-growth environment. Proficiency in analytics tools such as Google Analytics, Clearbit, Mixpanel, or Amplitude. Strong knowledge of SEO, SEM, paid social, and other growth marketing channels. Previous experience as a Team Lead. Excellent analytical, problem-solving, and project management skills. Ability to think strategically and execute tactically. Strong interpersonal and communication skills for cross-departmental collaboration.

UNDP has been working in India since 1951 in almost all areas of human development. Together with the Government of India and development partners, we have worked towards eradicating poverty, reducing inequalities, strengthening local governance, enhancing community resilience, protecting the environment, supporting policy initiatives and institutional reforms, and accelerating sustainable development for all. With projects and programmes in every state and union territory in India, UNDP works with national and subnational government, and diverse development actors to deliver people-centric results, particularly for the most vulnerable and marginalized communities. As the integrator for collective action on the Sustainable Development Goals (SDGs) within the UN system, we are committed to supporting the Government of India s national development vision and priorities and accelerating the achievement of the SDGs for the people and the planet. UNDP India s new Country Programme (2023-2027) builds on our prior work and aims to provide an integrated approach to development solutions in three strategic portfolios: Strong, accountable and evidence-led institutions for accelerated achievement of the SDGs. Enhanced economic opportunities and social protection to reduce inequality, with a focus on the marginalized. Climate-smart solutions, sustainable ecosystems and resilient development for reduced vulnerability. South-South cooperation, gender equality and social inclusion are promoted across the pillars. The programme is supported by a framework of renewed partnerships and blended finance solutions, strategic innovation and accelerator labs, and data and digital architecture. You are invited to join a team of future-smart development professionals to support India in achieving the national and globally agreed goals. As part of the UNDP team, your focus will be to work with diverse stakeholders to find country-specific solutions that lead to sustainable development and reach those furthest behind first. Office/Unit/Project Description The UNDP India Country Programme Document CPD (2023-2027) signed with the Government of India (GoI) aims at transformative change and development impact at scale. In line with this, UNDP has initiated active support to many state governments in mainstreaming SDGs within their schemes and programmes as a part of an UN system- wide to SDG roll out for visioning and planning in India. UNDP has done some pioneering work on localizing SDGs in States like Uttarakhand, Haryana, Punjab, Karnataka, Tamil Nadu and Northeast. The focus of the agency is to support the States in Localization & Integration and to provide technical capacity in the implementation framework for SDGs. In view of India s commitment to the 2030 Agenda, the Economic and Statistical Organization (ESO), Department of Planning has come up with vision document focusing on sectoral growth aligned with SDGs and is in the process of developing State Indicator Framework also. State level consultations are underway to align the global goals with the planning process of the State. To implement the ambitious targets set for itself in SDG VISION 2030, the Government of Nagaland (GoN) has already started the process of integrating the SDGs into the planning and development process of the state and has set up and has partnered with UNDP to establish SDG Coordination Centre (SDGCC) under the Department of Planning and Transformation. Since 2019 UNDP has a team of experts as part of the SDGCC and working closely with relevant government departments, technical agencies, UN agencies, civil society organization and academic institutions to provide the requisite impetus to the state government s initiative in rolling out the SDGs. With the SDG Nagaland vision in place and the monitoring dashboard launched, the SDGCC is expected to enhance its financial and non-financial resources and work to accelerate the progress of achievement of the global goals. Job Purpose and Scope of Work Main Purpose: The Project Associate- Resource Mobilisation & Partnership Development in Nagaland is designed to work under the overall leadership and guidance of the Policy Specialist, SDG Acceleration Unit, UNDP India and coordinate with the SDGCC team to develop and implement strategies for mobilizing financial and non-financial resources to support SDG Vision 2030 in Nagaland. The incumbent will play a key role in building partnerships with the private sector, philanthropies, industry associations, multilateral agencies, and government stakeholders to secure funding and technical collaborations for SDG initiatives in the state. Duties and Responsibilities: Under the overall supervision of the Policy Specialist, SDG Acceleration Unit, UNDP India the incumbent will: Support in the identification and mapping of relevant stakeholders Building strategic alliances and engaging donors to secure funding opportunities and strengthen partnerships for sustainable development financing. Assist in identification and development of new innovative initiatives, partnerships and approaches to support SDG priority indicators based on research and best global practices. Support in Identifying the entry points for innovations (e.g. innovations dashboard, hackathons for development, foresight and innovations summit) and facilitating integration in overall SDGCC and UNDP programming. Mapping and analysis of the contributions of private sector entities, CSR initiatives, and philanthropic organizations in Nagaland towards achieving the SDGs Conduct an environmental scan to identify opportunities for private sector partnerships through partner-specific analysis, assessment of needs, and evaluation of comparative strengths. Assist in establishing and maintaining strategic contacts and association with relevant partners, follow proactively engagement ideas and work closely with GoN SDGCC Team. Strengthening government partnerships through providing high quality and strategic communications support. Coordinating with direct stakeholders and team members to maintain consistent engagement and alignment with project objectives, enabling a collaborative approach to achieving the SDG targets. Assist in stakeholder coordination & resource mobilization Assist in researching and mapping donor priorities and funding trends to identify potential partnership and fundraising opportunities. Coordinate with internal teams and external partners to support the development and maintenance of strategic relationships with government agencies, private sector entities, multilateral institutions, and civil society organizations. Help organize and facilitate stakeholder engagement activities, including meetings, events, dialogues, and knowledge-sharing sessions. Provide logistical and documentation support for partnership development and donor engagement initiatives. Assist in monitoring and tracking partnership activities and donor communications to ensure timely follow-ups and reporting. Conduct background research and analysis to support evidence-based decision-making and resource mobilisation planning. Demonstrate familiarity with Environmental, Social, and Governance (ESG) standards and sustainability frameworks relevant to development partnerships. Contribute to capacity-building initiatives for government and institutional stakeholders, particularly in partnership development and strategy implementation. Help coordinate and support multi-stakeholder engagement, particularly in government or international development settings, with strong communication and interpersonal skills. Support business development with a focus on achieving the following results: Creating content for the SDG Private sector partner platform involving companies, business forums, industry associations and banking sector, Strengthening the engagement of partnerships with private sector, civil society, philanthropies, multilateral stakeholders and mobilizing financial and non-financial resources. Implementing relevant financial instruments to attract private investment and engage donors to accelerate financing for the SDGs. Organizing partnership engagement meetings and events to showcase SDG priorities and indicators to foster collaborations and encouraging targeted investments in critical sectors. Supporting the development of project proposals, concept notes, and background materials related to SDG priority indicators Support knowledge building and knowledge sharing Participate in training and organize briefings on internal procedures for the project staff. Provide support to other capacity building activities, including to the design and delivery of tools, materials for workshops, or platforms that tap into the collective intelligence of communities and mobilize action. Provide support in the dissemination and sharing of relevant data and lessons learned within the CO and regionally. Keep pulse on emerging best practices nationally, regionally, and internationally that relate to the work of the assigned project. Make sound contributions to knowledge networks and communities of practice. Support compiling and systematizing project knowledge, products and tools as well as their wide distribution to partners. The incumbent performs other duties within their functional profile as deemed necessary for the efficient functioning of the Office and the Organization. Institutional Arrangement [1] Reporting To: Policy Specialist, NPSA 9, SDG Acceleration & Finance Unit, UNDP India. Reportees to this position (if applicable): NA [1] NPSA holders hired under a National implementation modality, remain under the administrative supervision of UNDP, even if daily supervision is ensured by the national counterpart. Competencies Core Achieve Results: LEVEL 1: Plans and monitors own work, pays attention to details, delivers quality work by deadline Think Innovatively: LEVEL 1: Open to creative ideas/known risks, is pragmatic problem solver, makes improvements Learn Continuously: LEVEL 1: Open minded and curious, shares knowledge, learns from mistakes, asks for feedback Adapt with Agility: LEVEL 1: Adapts to change, constructively handles ambiguity/uncertainty, is flexible Act with Determination: LEVEL 1: Shows drive and motivation, able to deliver calmly in face of adversity, confident Engage and Partner: LEVEL 1: Demonstrates compassion/understanding towards others, forms positive relationships Enable Diversity and Inclusion: LEVEL 1: Appreciate/respect differences, aware of unconscious bias, confront discrimination Cross-Functional & Technical competencies Thematic Area Name Definition Business Direction and Strategy Strategic Thinking Ability to develop effective strategies and prioritized plans in line with UNDP s objectives, based on the systemic analysis of challenges, potential risks and opportunities, linking the vision to reality on the ground, and creating tangible solutions. learn from a variety of sources to anticipate and effectively respond to both current and future trends; demonstrate foresight. Data Data analysis Ability to extract, analyse and visualize data (including Real-Time Data) to form meaningful insights and aid effective decision making Business Management Project Management Ability to plan, organize, prioritize and control resources, procedures and protocols to achieve specific goals Business Management Partnership Management . Build and maintain partnerships with wide networks of stakeholders, Governments, civil society and private sector partners, experts and others in line with UNDP strategy and policies Partnership Management Multi- stakeholder engagement and funding Knowledge and ability to forge multi-stakeholder partnerships, and remove any obstacles to resource mobilization and multi- stakeholder funding platforms Partnership Management Relationship management Ability to engage with a wide range of public and private partners, build, sustain and/or strengthen working relations, trust and mutual understanding Digital Story telling Ability to empathize with peoples perceptions, motivations, feelings and mental models and craft narratives to build an emotive argument for change accordingly. Ability to present data, insights or information in compelling ways to mobilize resources, talent or action. Ability to choose media and channels that is fit for purpose to reach specific target audiences. Minimum Qualifications of the Successful NPSA Min. Education requirements Secondary education is required. Or A university degree (bachelor s degree) or equivalent in Public Relations, Rural Development, Economics, Communications, Development Economics, Statistics, Mathematics, Public Administration, Business Administration, Public policy or related Social Science field will be given due consideration, but it is not a requirement. Min. years of relevant work experience Minimum 6 years (with secondary education) or 3 years (with bachelor s degree) of experience of working with government at the national level or sub-national level in resource mobilization, private sector, corporate communication, government, responsible for lead formulation and partnerships is required. Required skills Demonstrated experience with government in resource mobilization, including developing proposals and engaging with donors, CSR entities, and philanthropic organizations. Experience in preparing high-quality project proposals, concept notes, and investment pitch materials tailored to potential partners. Desired skills in addition to the competencies covered in the Competencies section Experience in innovative financing models for resource mobilization. Exposure to partnership development with private sector, business forums, or philanthropic foundations. Experience in capacity building for government and institutional partners on partnership strategies. Proven experience and strong understanding of SDG-related financing mechanisms and ability to align resource mobilization strategies with development priorities Demonstrated experience in stakeholder engagement, partnership tracking tools, and relationship management. Experience and knowledge of the working structure, rules, regulations, policies, and procedures of UN/UNDP. Required Language(s) Fluency in English is required. Fluency in Nagamese is desirable. Professional Certificates N/A Remuneration starting at INR 11,73,913.44 (Annual) / INR 97,826.12 (Monthly) as per the scale depending on qualifications and experience. The remuneration is excluding 8.33% pension amount paid over and above the salary Equal opportunity As an equal opportunity employer, UNDP values diversity as an expression of the multiplicity of nations and cultures where we operate and, as such, we encourage qualified applicants from all backgrounds to apply for roles in the organization. Our employment decisions are based on merit and suitability for the role, without discrimination. UNDP is also committed to creating an inclusive workplace where all personnel are empowered to contribute to our mission, are valued, can thrive, and benefit from career opportunities that are open to all. Sexual harassment, exploitation, and abuse of authority UNDP does not tolerate harassment, sexual harassment, exploitation, discrimination and abuse of authority. All selected candidates, therefore, undergo relevant checks and are expected to adhere to the respective standards and principles. Right to select multiple candidates UNDP reserves the right to select one or more candidates from this vacancy announcement. We may also retain applications and consider candidates applying to this post for other similar positions with UNDP at the same grade level and with similar job description, experience and educational requirements. Scam alert UNDP does not charge a fee at any stage of its recruitment process. For further information, please see www.undp.org/scam-alert.

Financial Associate IV This role has been designed as Onsite with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today s complex world. Our culture thrives on finding new and better ways to accelerate what s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. : Job Family Definition: Partners with the businesses to ensure that the capital strategies are operationally supported and strategically focused to secure the greatest return on investment for the global company. Gathers financial data and performs financial analyses and reporting (e.g., profit & loss, balance sheet, cash flow, pricing, etc.) to influence decisions within the business and to drive cross-business initiatives (e.g., Mergers & Acquisitions). Drives the forecasting process (weekly, monthly, and long term) by analyzing trends within the businesses and ensuring alignment with business- and corporate-wide objectives. Communicates and drives adherence to Generally Accepted Accounting Principles (GAAP) and the organizations financial goals and policies. Has the fiduciary responsibility to represent financial results correctly both internally and externally. Ensures strong business controls. Management Level Definition: Applies extensive knowledge of the job skills, company policies and procedures to complete complex, specialized assignments/tasks in creative and effective ways. Comprehensive understanding of the general/technical aspects of the job. Works on assignments that are complex in nature and require initiative and technical/specialized knowledge to resolve problems and/or develop recommended solutions. Work is completed with minimal supervision and assignments may be completed without established procedures. May determine methods and procedures for new assignments. Typically provides guidance to other non-exempt employees. What youll do: Responsibilities: Owns and executes accounting processes within area of expertise. Performs analysis of transactional accounting information to support decision making. Typically the first escalation point of contact for customer issues related to area of expertise Supports the implementation of new corporate-wide accounting processes and systems. Proactively identifies opportunities for improvements and makes recommendations. Implements and assures effective business controls through review, analysis, and verification. Assists in training and mentoring of department team. Supports the development, implementation, maintenance, and communication procedures to ensure compliance with accounting policies. What you need to bring: Education and Experience Required: Associates degree strongly preferred. Typically 4+ years of work experience. Typically 1+ years experience in an accounting environment. Knowledge and Skills: Strong computation skills. Strong business application skills (e.g., Microsoft Office Suite, SAP). Fluency in English. Strong understanding of accounting processes. Strong database skills. Strong communication skills. Good project management skills. Additional Skills: Accountability, Accountability, Active Learning (Inactive), Active Listening, Bias, Big Data Analytics, Coaching, Commercial Acumen, Creativity, Critical Thinking, Customer Centricity, Design Thinking, Digital Transformation, Empathy, Financial Planning and Analysis (FP&A), Follow-Through, Growth Mindset, Intellectual Curiosity (Inactive), Internal Controls, Long Term Planning, Management of Change, Managing Ambiguity, Numerical Data Analysis, Policy Management, Problem Solving Mindset {+ 4 more} What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Lets Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #india #financialservices Job: Finance Job Level: Senior HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity . Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

About the Role: We are seeking a highly skilled and experienced Contract Implementation Analyst to join our team on a contractual basis. The ideal candidate will have a strong background in financial services and a deep understanding of reconciliation processes. You will be responsible for implementing our enterprise reconciliation product, ensuring seamless integration with client systems, and providing ongoing support. Key Responsibilities: Solution Implementation: Analyze client requirements to determine the optimal configuration of our product reconciliation. Design and implement customized solutions tailored to specific client needs. Configure and integrate the product with various systems and data sources. Test and validate the implemented solutions to ensure accuracy and performance. Client Onboarding: Conduct thorough onboarding sessions with clients to understand their business processes and pain points. Provide comprehensive training and support to clients on product usage and best practices. Technical Expertise: Leverage your strong technical skills to troubleshoot and resolve complex issues. Stay up to date with the latest industry trends and technologies. Required Skills and Experience: A bachelors or higher degree in Computer Science, Computer Engineering, or similar discipline. 4+ years of experience in financial services, preferably in reconciliations space. Deep understanding of financial concepts, including reconciliation, matching, and exception management. Proven expertise in implementing reconciliation solutions. Strong technical skills, including SQL, ETL, and data analysis. Experience with ISO20022 standards is a plus. Familiarity with TLM, Duco, and IntelliMatch is a significant advantage. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work independently and as part of a team. Knowledge in Cloud (AWS, Azure) Architecture Conversion Analyst . Expertise building solutions (not operation/BPO users) using any of the enterprise level reconciliation platforms (ex: TLM, Duco, IntelliMatch etc.). If we cant find resources with reconciliation solution developer expertise, we need working experience within FinTech who built solutions for other businesses ex: regulatory reporting, post trade, any other tools within investment banking etc. ETL development using any known tools such as informatica, Microsoft SSIS etc. Strong in working with SQL, preferably in SQL Server and Postgres.