520 Project Analyst Jobs in Gurgaon

Position Title: Content Curation- KPO Analyst Tier: T4 (Work Requirement is Currently Remote Mode) Role: Analyze the Urls / web pages to extract, verify & create the required content for Google Ads following the provided client guidelines to meet the SLA parameters on Productivity, Quality, AHT, TAT and Utilization. Key Responsibilities: Expected to be well versed with the new medium and using the web space effectively. He/She must have an analytical thought process combined with an attention to detail to help in suggested ads creation. Review Ads, Search Contents. Prepare Ad Content and Creatives. Review search contents and classify them as per client guidelines. Review Contents given by client - Comments / edit. Review landing Pages / Home pages. Analysts have to check the quality of the content for advertisements. He/she must ensure that the text content that goes online is not offensive or violates any copyright laws. Skill Set: High proficiency in Verbal /Written English. Knowledge of MS Excel, Google Sheets & Google Docs. Good working knowledge about the Internet. Aware about how Google search works, good searching skills through use of effective keywords. Qualification Criteria : Any Graduates and Post Graduates. Salary Package & Shift details: Fresher HYD CTC- 2,11,473 & Fresher GUR CTC 2,14,000 LPA with 14 Month service agreement only for Freshers (as they are looking for stable candidates) and 1 to 4yrs of for Experience 2.2 LPA to 3.2 LPA. Shift will be rotational shifts (5:30 AM -2:30 PM and 2:30 PM to 11:30 PM), since these projects work 365 days a year, people get rotational 2 offs every week which can be on any day of the week . Food coupons are provided Both the ways transportation facility is provided within the range of 45 kms from Office.  Below are the points candidates needs to take care during the Interview process: Total Rounds of Interview: 1) L1 Operation Round of Discussion Through Microsoft Teams (10 - 15 Mints) 2) L2 Communication Round of Discussion Through Microsoft Teams (10 - 15 Mints) 3) 3rd Round Versant Test Versant Round 4) HR Discussion

 Hiring: Financial Analyst (DCF Modeling Expert) What we are and what we do:-  Gallagher & Mohan is a distinguished firm dedicated to providing unparalleled financial analysis, marketing expertise, and accounting support within the dynamic realm of real estate. We cater to a diverse clientele comprising private equity investors, developers, fund managers, and brokers, among others. Renowned for our commitment to excellence, effective communication, and unwavering work ethic, we seamlessly integrate into our clients' operations to deliver exceptional value. Our portfolio encompasses a spectrum of transactions, spanning from multifamily apartment complexes to office towers in the United States and Europe, with transactional values ranging from $10 million USD to upwards of $200 million USD.   Financial Analyst (DCF Modeling Expert)  Role Overview: As a Financial Analyst at Gallagher & Mohan, your primary focus will be on leveraging Discounted Cash Flow (DCF) modeling to deliver sophisticated financial analysis and insights. You will be responsible for creating and managing complex financial models, optimizing asset valuations, and providing actionable recommendations based on detailed DCF analyses.  Roles & Responsibilities: Argus Enterprise Mastery: Utilize Argus Enterprise extensively to develop, maintain, and enhance comprehensive financial models for real estate assets. Ensure accuracy and efficiency in cash-flow projections and asset valuations. DCF Modeling: Construct and refine Discounted Cash Flow (DCF) models to evaluate investment opportunities, asset performance, and future cash flows. Provide in-depth analysis and interpretation of model outputs. Model Optimization: Optimize and update Argus models to reflect changing market conditions, investment strategies, and financial structures. Ensure models are aligned with current financial practices and industry standards. Market Analysis: Conduct detailed market research and analysis to support Argus , Multi family assets and DCF modeling, including assessing property comparables and evaluating market trends. Reporting & Insights: Prepare and present detailed financial reports and insights based on Argus and DCF analyses. Communicate findings and strategic recommendations to senior management and clients. Collaboration: Work closely with internal teams during acquisitions, dispositions, and development projects, providing specialized Argus and DCF analysis to support strategic decision-making. Performance Evaluation: Assess and report on the performance of investments using key performance indicators (KPIs) such as IRR and Cash-on-Cash returns, integrating these metrics into Argus and DCF models.  What We Are Looking For: Requirements Skills, Knowledge, and Abilities: Educational Background: Bachelors degree in Real Estate, Business, Economics, Finance, or a related field. Argus Expertise: Extensive experience with Argus Enterprise software, including developing and managing detailed financial models for real estate assets. DCF Proficiency: Strong proficiency in Discounted Cash Flow (DCF) modeling, with the ability to create and analyze complex financial models and scenarios. Experience: 1-4 years of experience in financial modeling with a focus on Argus and DCF methodologies and Multi family assets . Background in equity research, investment banking, or real estate finance is advantageous. Analytical Skills: Exceptional analytical and problem-solving skills, with a focus on deriving actionable insights from Argus and DCF analyses. Communication: Strong written and verbal communication skills, with the ability to present complex financial concepts and findings effectively to diverse stakeholders. Organization: Excellent organizational skills, with the ability to manage multiple tasks and priorities in a fast-paced environment. Team Collaboration: Proven ability to work effectively with cross-functional teams and contribute to a collaborative team environment.  Desired Qualifications: Software Proficiency: Advanced skills in Microsoft Office Suite, especially Excel, for financial modeling and analysis. Advanced Degree: Masters degree in finance, Business, Real Estate, or Economics is preferred. Certifications: Candidates who have completed or are working towards CFA, CA, or FRM certifications will be considered favorably. Additional Software Knowledge: Familiarity with other real estate software/programs, such as Yardi Voyager and Google Earth, will be a plus.  Job Details:    Title: Financial Analyst  Department: Financial Analysis  Employment Type: Full-Time, Permanent  Location: Remote (New Delhi)  Shift Timings: EST/PST (US Time Zone)   Join Gallagher & Mohan to apply your expertise in DCF modeling, driving impactful financial analysis and strategic decision-making in our dynamic real estate investment environment.    

Dear Candidate, We are excited to announce urgent openings for both freshers and experienced professionals in various fields. If you are interested in a live project trainee or internship opportunity, we invite you to apply. Below are the details: Web Developer/Web Designing/Software Developer/SEO/Digital Marketing Roles: Web Developer, Angular, React JS, Web Design, Graphics, WordPress, Shopify, PHP, Laravel, React and Node Developer, Manual Testing, AndroidExperience: 0 to 1 yearsSalary: 1.5 LPA to 3.5 LPA   Flutter Developer/React Native/DevOps/IT Networking Roles: Flutter Developer, React Native, DevOps, IT NetworkingExperience: 0 to 1 years   Business Analyst/Online Bidder/IT Sales Executive/IT Project Coordinator/BDMRoles: Business Analyst, Online Bidder, IT Sales Executive, IT Project Coordinator, Business Development Manager (BDM) Experience Required: 0 to 1 years Salary Range: 1.5 LPA to 3.5 LPA Opportunity Details: Position: Live Project Training or Internship  3 to 6 month live training mealtime project   Duration: 3-6 months Working Hours: 8 hours per day get exp and job this industries  Bond: 1-year industry bond [you can tech bond or not depends upon you] To Apply: Please contact us immediately at 7428672681. The interview is ongoing, and we are looking to fill these positions urgently. For further details or to schedule your interview, please call us at the provided number.

About ExcelR: ExcelR is a leading edtech company founded by distinguished alumni of IIM and ISB, dedicated to transforming careers through world-class upskilling. Recognized twice with the Deloitte Fast 50 Award, ExcelR is one of Indias fastest-growing tech companies. With an employee size of 450+, we have a strong PAN India and USA presence. With a thriving community of 300,000+ learners, ExcelR delivers impactful learning experiences across the globe. We proudly collaborate with premier institutes like IIT Madras, IIT Jammu, IIT Roorkee, and BITS Pilani, offering cutting-edge programs. Job Title: Data Analyst Trainer Job Description: We are looking for a seasoned professional with in-depth expertise as a Data Analyst. The ideal candidate should have a proven track record of hands-on experience with related field technologies, including managing complex projects, mentoring teams, and driving operational excellence in the field. Proficiency in Excel, SQL, Power BI/Tableau Data cleaning, data visualization, and dashboarding Understanding of statistics and reporting techniques Knowledge of Python or R (preferred) Strong knowledge of SDLC, Agile, and Waterfall methodologies Proficiency in tools like MS Visio, Jira, and Balsamiq Requirement gathering, stakeholder management, and process modelling Excellent analytical and documentation skills Key Responsibilities: Develop, deliver, and continuously enhance training content and educational programs. Mentor and train junior in-house trainers, ensuring high-quality instruction across teams. Supervise the planning, execution, and evaluation of internships, assignments, and training programs. Innovate and maintain cutting-edge educational materials and content. Ideal Candidate Profile Demonstrated expertise in the relevant domain with industry experience Excellent communication and presentation abilities to deliver impactful training Passion for teaching and mentoring aspiring professionals Qualifications Prior experience in training, mentoring, or educational roles Strong interpersonal and time management skills Ability to collaborate effectively in a team environment If youre an innovative, highly skilled professional with a passion for both technology and education, wed love to hear from you!  Conditions:  Batch Management: Handle 3 batches consecutively, with assignments based on business requirements. This could include weekday/weekend and classroom batches.  Demos & Webinars: Conducting demo sessions and webinars.  Doubts Clarification Sessions: Organizing sessions to address and clarify students' doubts.  Course Material Preparation: Develop various teaching materials including presentations, assignments, projects, quizzes, and other relevant content.  Project Mentoring: Offer guidance and mentor-ship for student projects.  Placement Preparation: Assist students in preparing for placements, including conducting mock interviews.  Customer Query Handling: Addressing queries from potential customers.  Additional Responsibilities: Need to undertake other tasks as per the business requirement.

Job Description: Role Title: Compliance & Customer Audit AnalystShifts Available: EMEA Shift: 1:30 PM 10:00 PM IST Asia Shift: 7:00 AM 4:00 PM ISTExperience: 3 to 8 YearsJob Type: Full-TimeLocation: India (Remote/Hybrid depending on client/project)Department: Global Risk & Compliance | Internal Audit Role Overview: Join the Global Audit Function supporting a 2nd Line Risk & Compliance team focusing on Customer Audits and MDF (Market Development Funds) Audits. You will work across various business process audits with an emphasis on risk assessment, contract compliance, rebates, pricing, credit notes, and supply chain controls. Key Responsibilities:  Customer Audit Execution Conduct end-to-end risk-based business audits following the internal audit lifecycle: planning, fieldwork, reporting, and closure Analyze customer contracts and validate compliance against terms (Contract Compliance) Perform financial reconciliations, analyze rebates, credit notes, and clawbacks Assess inventory movement, supply chain operations, and fulfillment practices Review and document audit observations, develop recommendations, and present findings to stakeholders  MDF Audit (Market Development Funds) Review MDF usage, approvals, documentation, and validate against policy Identify non-compliant claims and work with business stakeholders for resolution  General Audit Responsibilities Risk assessments and scoping based on client priorities Audit planning and stakeholder alignment Execution of fieldwork, data analysis, sampling, and exception handling Drafting detailed audit reports and working papers Coordinate follow-ups for audit closure and track action items  Optional: Americas Audit Exposure Based on candidate interest and availability, annual participation in Americas-focused audits may be considered. Required Skills & Competencies: Strong understanding of internal audit, risk-based audits, and business process reviews Experience in domains like Contract Compliance, Rebates, Credit Notes, Pricing, or Inventory Strong analytical and reporting skills Experience in working with global teams or clients Excellent written and verbal communication Good documentation and audit reporting skills Preferred Qualifications: Bachelors degree in Finance, Accounting, Business, or equivalent CA, CIA, CISA, or other audit/compliance certifications (preferred) Familiarity with tools like SAP, Excel, and Audit Management software

An operational analyst job description involves analyzing business operations to improve efficiency, reduce costs, and increase productivity. Key duties include collecting and analyzing data, identifying inefficiencies, developing solutions, and collaborating with teams to implement process improvements. This role requires strong analytical and problem-solving skills, proficiency in data analysis, and excellent communication and project management abilities Analyze operations: Review and evaluate business processes, workflows, and procedures to identify bottlenecks and areas for improvement. Collect and analyze data: Gather operational data from various sources and use statistical modeling, trend analysis, and forecasting to gain insights. Identify problems: Pinpoint operational challenges, such as logistical constraints or staffing concerns.   Develop solutions: Create strategies and implement new projects or systems to solve problems and optimize operations. Improve processes: Implement changes and develop new procedures to streamline operations and increase efficiency. Collaborate with stakeholders: Work with various departments, management, and staff to understand challenges and implement solutions. Report findings: Create and present reports, dashboards, and forecasts to management to inform decision-making. Manage projects: Utilize project management strategies to execute initiatives and ensure successful implementation.    Organizational skills Problem-solving Attention to detail Project management Critical thinking Strong communication and interpersonal skills

  Support leadership on key strategic projects through data-driven analysis and clear recommendations Analyze markets, competition, and internal performance to identify growth, efficiency, and risk themes Build and maintain financial/operational models to evaluate initiatives, scenarios, and business cases Prepare sharp, executive-ready presentations and documents for CXO and board discussions Work with Product, Sales, Marketing, and Finance to drive execution of strategic initiatives Conduct primary and secondary research to benchmark best practices and new opportunities Track key KPIs, diagnose performance issues, and propose actionable interventions Requirements: Min 2 years in consulting/corporate strategy/analytics; strong Excel & PPT; SQL/BI a plus.  

As an accomplished Project Lead Python & AI Developer, your role involves leading end-to-end delivery of AI-powered analytics and product development initiatives. You will be responsible for overseeing multiple high-impact projects, managing cross-functional teams, and ensuring timely delivery under tight deadlines and high-pressure conditions. Key Responsibilities: - Lead, plan, and deliver multiple AI and analytics product development projects simultaneously with full ownership. - Translate complex business requirements into scalable, intelligent, and production-ready solutions. - Manage end-to-end project lifecycle, ensuring adherence to delivery timelines and quality benchmarks. - Guide, mentor, and review work of Python developers, AI engineers, and data analysts. - Set and enforce coding standards, architectural best practices, and delivery protocols. - Thrive in a high-pressure environment, balancing priorities across concurrent projects and stakeholders. In your role, you will be involved in: - Architecting, designing, and implementing AI-driven Python applications and intelligent automation frameworks. - Building and optimizing ETL pipelines, real-time data workflows, and analytics utilities. - Designing predictive modeling systems to forecast market trends and operational performance. - Leading the development of Genetic AI models for automated reporting, pattern detection, and process optimization. - Integrating APIs, databases, and cloud-based AI solutions (AWS, Azure, GCP) into scalable architectures. - Utilizing libraries such as Pandas, NumPy, SQL, Flask/FastAPI, TensorFlow, PyTorch, and scikit-learn to deliver high-quality analytical outputs. Furthermore, you will: - Design and deploy AI/ML models for predictive insights, anomaly detection, and strategic decision-making. - Drive the adoption of Genetic AI modeling techniques to improve forecasting accuracy and reporting intelligence. - Collaborate with cross-functional teams to integrate AI outcomes with business intelligence tools and automated dashboards. Your qualifications should include: - 10+ years of experience in Python development and AI engineering, preferably within product-oriented analytics environments. - Proven track record of leading multiple concurrent projects with successful delivery under tight timelines. - Strong hands-on experience in architecting predictive and AI modeling systems. - Expertise in Pandas, NumPy, SQL, Flask/FastAPI, REST APIs, and workflow automation. - Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn). - Strong understanding of Genetic AI modeling, predictive analytics, and automated reporting pipelines. - Cloud experience on AWS, Azure, or GCP (any one mandatory). - Excellent debugging, optimization, and architectural design skills under demanding conditions. Good-to-Have Skills: - Experience with deep learning models, MLOps, and AI model lifecycle management. - Proficiency in Tableau, Power BI, or other BI and visualization tools. - Familiarity with DevOps (CI/CD, Docker, Jenkins, Git). - Experience in Agile/Scrum product development environments. Qualifications: - Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or an equivalent discipline.,

Role Overview: You will be responsible for supporting the day-to-day operations of the risk division by monitoring the bank's risk profile, identifying and managing risks, and providing insights and expertise to senior colleagues to make informed decisions. Your role will involve executing small research projects, preparing presentations and reports, collaborating with cross-functional teams, participating in training programs, and managing business and client relationships under decreasing supervision. Additionally, you will support risk management and decision making by utilizing financial models and strategies. Key Responsibilities: - Execute small research projects to support risk identification and strategic decision making - Prepare presentations and reports for senior management communication - Collaborate with cross-functional teams to support business initiatives - Participate in training and development programs to enhance skills and knowledge - Identify and manage risks, including reviewing and challenging business propositions - Manage business and client relationships with decreasing supervision - Support risk management and decision making using financial models and strategies Qualifications Required: - In-depth technical knowledge and experience in the assigned area of expertise - Thorough understanding of the underlying principles and concepts within the area of expertise - Ability to lead and supervise a team, guiding professional development and coordinating resources - Demonstrated impact on the work of related teams within the area - Partner with other functions and business areas - Take ownership for managing risk and strengthening controls - Maintain and build understanding of how own sub-function integrates with function - Resolve problems and guide team members - Act as a contact point for stakeholders outside of the immediate function - Demonstrate Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset of Empower, Challenge, and Drive.,

As a Senior Marketing Analyst at Monks, you will have the opportunity to work closely with cross-functional teams (media, finance, operations) to perform a variety of data analysis activities. You will partner with a large tech company to help them run their advertising campaigns and provide necessary analytics support. Your role will involve working on data analysis, generating insights, and streamlining reports to help the team understand project performance effectively. Additionally, you will be responsible for managing the data team backlog, analysing complex data sets, and providing analytical support to cross-functional teams. **Key Responsibilities:** - Build, enhance and streamline reports to aid in understanding project performance. - Manage the data team backlog and serve as project manager on various data team projects. - Analyse complex data sets to identify trends, issues, and gather insights. - Provide analytical support to cross-functional teams. - Maintain data products and create visualisation tools, dashboards, reports, and spreadsheets. - Build and maintain an understanding of data flows, sources, and transformations across multiple data platforms. - Identify data issues proactively and collaborate with stakeholders for solutions. - Assist in process improvements within the data team. **Qualifications Required:** - Bachelor's/ Master's degree in Data Science, Statistics, Economics, Quantitative Finance, or other analytics-related field. - Minimum 1 year of experience using SQL, strong proficiency in spreadsheet and data visualisation tools. Familiarity with programming languages such as Javascript, R, Python is a plus. - Expertise in creating spreadsheets of findings and presenting them coherently to stakeholders. - Strong time and project management skills with high attention to detail. - Ability to think strategically, execute effectively, and deliver high-quality work under tight deadlines. - Excellent problem-solving skills with the ability to analyse and resolve complex problems using data. - Excellent communication and interpersonal skills with demonstrated ability to engage with senior leaders. Monks, the global digital operating brand of S4Capital plc, is dedicated to accelerating business possibilities by combining global marketing and technology services. Monks values diversity and inclusivity in the workplace, creating an environment where all individuals can freely express themselves and grow professionally. By embracing fresh voices and unique perspectives, Monks aims to produce work that resonates with the world and drives innovation in the industry.,

As a Scrum Master and Project Manager at Ameriprise India LLP, you will be responsible for leading multiple agile teams working on data analytics, AI Models, and cloud infrastructure projects. Your main responsibilities will include: - Facilitating Agile ceremonies such as daily stand-ups, sprint planning, retrospectives, backlog grooming, and reviews. - Collaborating with Product Owners, Data Scientists, Engineers, and Business Analysts to define and prioritize product and project backlogs. - Developing and maintaining detailed project plans, timelines, and resource allocations. - Identifying and mitigating project risks to ensure timely delivery of deliverables within scope and budget. - Communicating project status, dependencies, and progress to stakeholders at various levels of the organization. - Fostering a culture of continuous improvement, transparency, and team empowerment. - Creating and managing project plans for enhancements and small initiatives. - Managing requirements gathering, design, and execution of the projects/initiatives. - Fostering partnerships with customers, stakeholders, and sponsors. Required Qualifications: - Bachelor's degree in computer science, Engineering, or related field; or equivalent work experience. - 3+ years of experience as a Project Manager or Scrum Master in a technical environment. - 4 - 10 years overall experience leading and executing small to medium Projects/BAU enhancements in Distributed or Cloud Technologies. - Proven ability to successfully steer projects using both Waterfall and Agile methodology. - Strong understanding of Agile frameworks, including Scrum, Kanban, and SAFe. - Experience managing projects in data analytics, cloud computing (e.g., AWS). - Excellent leadership, communication, and stakeholder management skills. - Proven ability to manage multiple projects and priorities simultaneously. - Proficiency with related software tools including but not limited to JIRA, MS Project, MS Excel, ServiceNow, etc. - Proven ability to lead/manage technology team members. - Expertise in conflict resolution. About Our Company: Ameriprise India LLP has been providing client-based financial solutions for 125 years. Headquartered in Minneapolis, we are a U.S.-based financial planning company with a global presence. Our focus areas include Asset Management and Advice, Retirement Planning, and Insurance Protection. Join our inclusive and collaborative culture that rewards contributions and offers opportunities for growth and development. Make a difference in your community and create a meaningful career at Ameriprise India LLP. (Note: The timings, India Business Unit, and Job Family Group information have been omitted as they are not directly related to the job description.),

As a Business Analyst with a strong background in Artificial Intelligence (AI), Machine Learning (ML), or Data-driven projects, you will act as a bridge between business stakeholders, data scientists, and technical teams to translate business objectives into scalable AI solutions. You will have the opportunity to play a key role in identifying opportunities for AI adoption, defining requirements, managing data needs, and ensuring successful project delivery from concept to production. Key Responsibilities: - Collaborate with business leaders and technical teams to identify opportunities for AI and automation. - Gather, document, and validate business, functional, and non-functional requirements for AI/ML projects. - Translate business objectives into clear technical specifications, user stories, and acceptance criteria. - Work closely with data scientists, AI engineers, and product managers to define model goals, success metrics, and deployment strategies. - Conduct feasibility and impact analysis for proposed AI solutions. - Develop process flow diagrams, use case documentation, and data mapping for AI system integration. - Support data preparation, annotation, and validation activities as needed. - Monitor AI model performance post-deployment and recommend improvements. - Communicate complex AI concepts in simple business language to non-technical stakeholders. - Manage stakeholder expectations and ensure alignment across cross-functional teams. Required Skills & Qualifications: - Bachelor's degree in Computer Science, Information Systems, Data Science, or Business Administration (Master's preferred). - 5+ years of experience as a Business Analyst, with at least 4+ years on AI/ML or Data Analytics projects. - Strong understanding of AI concepts, such as predictive analytics, NLP, computer vision, or RPA. - Experience with tools like JIRA, Confluence, Tableau/Power BI, and SQL for analysis and documentation. - Ability to interpret data insights and communicate findings to drive business decisions. - Excellent stakeholder management, communication, and documentation skills. - Understanding of SDLC, Agile methodologies, and AI/ML lifecycle (from data collection to model deployment). Preferred Skills: - Exposure to cloud AI services (AWS Sagemaker, Google AI, Azure Cognitive Services). - Familiarity with Python, data visualization, or MLOps workflows. - Experience working in industries such as FinTech, Healthcare, E-commerce, or Manufacturing with AI applications. As a Business Analyst with a strong background in Artificial Intelligence (AI), Machine Learning (ML), or Data-driven projects, you will act as a bridge between business stakeholders, data scientists, and technical teams to translate business objectives into scalable AI solutions. You will have the opportunity to play a key role in identifying opportunities for AI adoption, defining requirements, managing data needs, and ensuring successful project delivery from concept to production. Key Responsibilities: - Collaborate with business leaders and technical teams to identify opportunities for AI and automation. - Gather, document, and validate business, functional, and non-functional requirements for AI/ML projects. - Translate business objectives into clear technical specifications, user stories, and acceptance criteria. - Work closely with data scientists, AI engineers, and product managers to define model goals, success metrics, and deployment strategies. - Conduct feasibility and impact analysis for proposed AI solutions. - Develop process flow diagrams, use case documentation, and data mapping for AI system integration. - Support data preparation, annotation, and validation activities as needed. - Monitor AI model performance post-deployment and recommend improvements. - Communicate complex AI concepts in simple business language to non-technical stakeholders. - Manage stakeholder expectations and ensure alignment across cross-functional teams. Required Skills & Qualifications: - Bachelor's degree in Computer Science, Information Systems, Data Science, or Business Administration (Master's preferred). - 5+ years of experience as a Business Analyst, with at least 4+ years on AI/ML or Data Analytics projects. - Strong understanding of AI concepts, such as predictive analytics, NLP, computer vision, or RPA. - Experience with tools like JIRA, Confluence, Tableau/Power BI, and SQL for analysis and documentation. - Ability to interpret data insights and communicate findings to drive business decisions. - Excellent stakeholder management, communication, and documentation skills. - Understanding of SDLC, Agile methodologies, and AI/ML lifecycle (from data collection to model deployment). Preferred Skills: - Exposure to cloud AI services (AWS Sagemaker, Google AI, Azure Cognitive Services). - Familiarity with Python, data visualization, or MLOps workflows. - Experience working in industries such as FinTech, Healthcare, E-commerce, or Manufacturing wi

As a Product & Research Analyst at Wise FinServ, you will play a crucial role in supporting investment research, financial planning, retirement strategies, and portfolio analysis. Your strong analytical capabilities and understanding of financial markets will be key in transforming data into actionable insights for the benefit of our clients. Key Responsibilities: - Conduct detailed research on various financial instruments including mutual funds, equities, debt instruments, and wealth management products. - Track macroeconomic trends, market movements, and regulatory developments affecting the capital market. - Prepare research reports, market updates, and thematic insights for both internal and client-facing purposes. - Perform portfolio reviews, analyze asset allocation, return on investment, and assess risks. - Assist in developing financial and retirement planning strategies tailored to client profiles. - Aid in creating model portfolios and customized recommendation baskets aligned with market conditions and client objectives. - Evaluate third-party investment products based on performance, suitability, risk parameters, and client needs. - Create product comparison frameworks and suitability matrices to assist advisors in making informed recommendations. - Support the enhancement of internal product notes, financial planning modules, and research repositories. - Collaborate with advisory, sales, and compliance teams to ensure smooth product delivery. Qualifications Required: - Bachelor's/Master's degree in Finance, Economics, Commerce, Business, or B.Tech with a strong analytical aptitude. - Preferably hold NISM certifications (Series NISM Series XV, NISM Series XIII X-A, X-B). - Additional qualifications like CFP, CFA/FRM (Level 2 or ongoing) are advantageous. In addition to the qualifications, you should possess: - Proficiency in data analysis and financial modeling. - Strong command over MS Excel, Google Sheets, and financial databases. - Experience in data visualization tools such as Power BI, Tableau, or advanced Excel dashboards. - Ability to interpret numbers, identify trends, and convert raw data into insights. - Understanding of risk metrics, asset allocation concepts, and investment strategies. Your core competencies should include: - Strong understanding of financial markets and investment products. - Excellent communication, report-writing, and presentation skills. - Detail-oriented mindset with the ability to work with large data sets. - Ability to work independently on analytical projects in a fast-paced environment.,

As a Research Analyst, your role involves devising research plans and effective strategies to conduct market research efficiently. You will be responsible for designing analysis plans, implementing search strategies, and gathering relevant information from various sources such as subscription databases, the Internet, print media, company representatives, and external research organizations. Utilize both secondary and primary research sources to organize, analyze, synthesize, and summarize data using appropriate analytical tools. Additionally, you will conduct quantitative and qualitative analysis as necessary and participate in pre and post-sales discussions with clients and internal Business Development Executives. Key Responsibilities: - Devise research plans and effective strategies for market research - Design analysis plans and implement search strategies - Gather information from various sources - Organize, analyze, synthesize, and summarize data - Conduct quantitative and qualitative analysis - Participate in pre and post-sales discussions - Mentor team members on qualitative and quantitative research - Review and analyze ongoing projects for quality and production efficiencies - Interact with decision-makers and end-user clients to define project goals - Conduct Market Engineering activities such as estimation, sizing, and forecasting - Communicate research results effectively through structured end-products - Prepare and deliver Industry and Sector Research reports Qualifications Required: - Experienced in writing and designing research reports from multiple industry verticals - Clear understanding of primary and secondary market research - Proficient in quantitative and qualitative data collection and analysis - Excellent analytical, mathematical, and problem-solving skills - Previous experience in data analysis using various techniques - Experience in Market Engineering activities - Strong teamwork and communication skills - Ability to prioritize and execute tasks in a high-pressure environment - Customer service-oriented - Experience working in a collaborative environment - Good command of business English Education: - B.Tech/M.Tech/B.E (Hons)/B.Sc/B.Pharm/M.Pharm Location: Noida (Note: No additional details of the company were provided in the job description),

In Indian oil and gas companies,An operations manager job description includes overseeing day-to-day operations, managing staff, and improving efficiency by optimizing processes, managing budgets, and ensuring compliance with company policies and regulations. Key responsibilities include developing strategies, monitoring performance metrics (KPIs), and collaborating with other departments to achieve business objectives. This role is crucial for ensuring an organization runs smoothly, cost-effectively, and profitably. Key responsibilities    Manage daily operations:    Oversee the organization's daily activities to ensure smooth and efficient functioning. Staff and team management:Supervise, hire, train, and mentor employees; set expectations, provide feedback, and manage staffing levels. Process optimization:Identify inefficiencies and implement strategies to improve operational systems, workflows, and productivity. Budget and financial management:Manage budgets, analyze financial data, control costs, and may negotiate contracts with vendors and suppliers. Performance monitoring:Track key performance indicators (KPIs) to ensure goals are met and prepare reports on operational performance. Quality control:Ensure high-quality standards are maintained in products or services and oversee quality assurance programs. Compliance:Ensure all operations comply with relevant laws, regulations, and safety standards. Strategic planning:Contribute to long-term strategic planning and formulate operational objectives to align with business goals.  operations managers hold various important roles focusing on efficiency, safety, and production. Key job titles within this function include:     Operations Manager: The general role overseeing daily activities, ensuring productivity, quality, and compliance across various departments.    Field Operations Manager/Supervisor: Specifically responsible for coordinating and supervising physical operations at onshore or offshore field sites, focusing on extraction, production, and maintenance.    Production Manager: Manages the extraction and processing of oil and gas from wells or plants, ensuring production targets are met efficiently.    Plant/Refinery Manager: Oversees all operations within a processing plant or refinery, including production lines, maintenance, and safety protocols.    Shift In-charge/Supervisor (Operations & Maintenance): Manages operations and maintenance activities during specific shifts, often in processing or power plants.    Logistics Manager: While a specific type of operations manager, this role is crucial for managing the supply chain, including procurement, transportation, and inventory of equipment and raw materials.    HSE (Health, Safety, and Environment) Manager/Superintendent: Ensures all operations comply with stringent health, safety, and environmental regulations, a critical aspect of the high-risk oil and gas industry.    Integrated Operations Center (IOC) Support Lead/Engineer: Manages teams and systems within operations centers, often utilizing technology and data analytics to optimize field operations and performance.    Assistant Manager - Operation & Maintenance: A mid-level position assisting in the management of O&M activities for specific assets or facilities, such as gas distribution networks or power plants. These roles require a blend of strong leadership, problem-solving, analytical thinking, and a deep understanding of industry-specific regulations and technologies. Career progression often moves from entry-level field roles or operations analyst positions to senior management roles like Director of Operations or Chief Operating Officer (COO). 

We are looking for management analysts, also known as management consultants, with exceptional analytical, communication, project management, and time-management skills, and several years experience. Management analysts can expect to work closely with multiple departments, financial data, and policy. Their responsibilities include analyzing company procedures, generating reports on findings, and advising management on necessary changes and strategies. Successful management analysts should be able to think creatively about problems and overcoming them and should have excellent interpersonal skills. Ideal candidates will have furthered their education in finance, business administration, or public administration, and are dedicated to the success of those who employ them.

credit analyst job description with a concise paragraph or list of bulleted items designed to sell your company, agency, or institution to applicants. You might mention how crucial credit analysis is to your companys success and how this role is viewed as a steppingstone toward more prominent finance positions within your workplace. If your company values work-life balance, promoting from within, incentive-based compensation, or diversity, equity, and inclusion, be sure to mention this in your post. Credit Analyst Job Responsibilities: Gathers and analyzes loan applicants financial data to evaluate risk. Assesses creditworthiness of individuals, companies, and institutions. Collaborates with other financial experts to approve or deny loans. Makes recommendations about whether to increase, adjust, extend, or close lines of credit. Undertakes risk analysis using regional, sector-specific, environmental, and other financial data. Prepares and presents credit reports. Completes quality assurance reviews. Gauges market trends. Monitors and adheres to collateral compliance covenants. Ensures that all loans are made in adherence with federal, state, and local financial regulations. Analyzes data to verify information and uncover fraud. Helps to update and improve credit rating criteria.

We are hiring a business analyst to join our project team. You will work alongside other business analysts and report directly to the project manager. Your main tasks will include performing detailed requirements analysis, documenting processes, and performing some user acceptance testing. To succeed in this role you should have a natural analytical way of thinking and be able to explain difficult concepts to nontechnical users. Business Analyst Responsibilities: Evaluating business processes, anticipating requirements, uncovering areas for improvement, and developing and implementing solutions. Leading ongoing reviews of business processes and developing optimization strategies. Staying up-to-date on the latest process and IT advancements to automate and modernize systems. Conducting meetings and presentations to share ideas and findings. Performing requirements analysis. Documenting and communicating the results of your efforts. Effectively communicating your insights and plans to cross-functional team members and management. Gathering critical information from meetings with various stakeholders and producing useful reports. Working closely with clients, technicians, and managerial staff. Providing leadership, training, coaching, and guidance to junior staff. Allocating resources and maintaining cost efficiency. Ensuring solutions meet business needs and requirements. Performing user acceptance testing. Managing projects, developing project plans, and monitoring performance. Updating, implementing, and maintaining procedures. Prioritizing initiatives based on business needs and requirements. Serving as a liaison between stakeholders and users. Managing competing resources and priorities. Monitoring deliverables and ensuring timely completion of projects.  

As a Junior Financial Analyst you will play a crucial role in supporting our financial analysis and reporting needs. You will monitor key financial metrics, contribute to business metric reporting, and provide insightful analyses to assist in decision-making for senior management. Your work will involve consolidating and analyzing financial data, assisting with financial planning, and ensuring clarity and accuracy in financial reporting. Youll need a Bachelors degree in finance or a related field, strong analytical skills, proficiency in Excel/Sheets and PowerPoint, and a curiosity for data analysis. This role is ideal for a driven, detail-oriented individual eager to collaborate and grow in a dynamic team environment. Responsibilities Monitoring financial performance and identifying trends. Supporting monthly and quarterly business metric reporting. Conducting ad-hoc analysis for senior management. Consolidating and analyzing financial data. Assisting with financial planning and forecasting. Maintaining a corporate repository of metric definitions.  

We are looking for a passionate political analyst to conduct research on political ideas and analyze government policies, political trends and related issues. As a political analyst you should be able to study the development of political systems, research various political subjects and collect and analyze data. Ultimately, you should be able to predict political, social and economic trends, evaluate cultures, values and political ideologies and present unbiased reports. Responsibilities Research political subjects such as foreign relations and political ideologies Collect data from sources such as public opinion surveys and election results Use statistical analysis to interpret research findings Develop political theories based on research and historical documents Forecast political, economic and social trends Present research results by writing reports, giving presentations and publishing articles Evaluate the effects of policies and laws on government, businesses and people Monitor current events, policy decisions and legislation changes Stay up-to-date with international trends and developments Raise public awareness of important political and social issues Establish contacts and sources to use in future research