518 Data Munging Jobs

Role Proficiency: Collect information about cyberattacks and vectors attack groups new vulnerabilities and exploits and new campaigns and trends. Create of threat intelligence reports that communicate the results of the analysis - e.g. sharing information with decision-makers security officials senior corporate officials etc. Create innovative research reports. Mentor junior members of the team as well as assist the Team Lead. Outcomes: Independently monitor cyber security news from the clear deep and dark web on a daily basis. Keep up to date with industry news security threats outside of their network and the intentions of potentially threatening entities. Closely follow the documented process to ensure consistent and repeatable guideline to report about threats (finished intelligence). Ensure documentation included in ThreatConnect/ CDC as predefined / agreed standards. Learn from review process for continuous improvement. Communicate and report appropriately as per defined process. Measures of Outcomes: Case studies and value delivered to CyberProof/ externally (blogs webinars) as well as implementing new research types new analysis tools. Number of threat intelligence finished reports including threat landscape and asset-based intelligence Percent of security incidents opened based on the CTI analyst's reports. Adherence to process - validation formatting documentation improvement suggestion. Evidence of skill development including training certification etc. Outputs Expected: Collection: Work with OSINT sources. Use WEBINT techniques to collect and enrich intelligence data. Develop and maintain deep web sources. Processing and analysis: Analyse the threat data into a finished report including technical recommendations MITRE ATT&CK mapping and valid IOCs. Reach out to other SOC teams (DFIR TH L2 etc) for validating and enriching your intelligence. Complete documentation including annotation in ThreatConnect / CDC to ensure audit trail as per defined standards and quality requirements. In accordance with the defined process ensure that the defined reports are created and published to stakeholders. Support the team: Assist the team lead in ensuring quality of service across the team. Seek advice from senior members of the team when in doubt. Continuous Learning innovation and optimization : Ensure completion of learning program. Lead ideas that will help innovation and optimization of processes. Continually learn new technology and stay updated on cyber threats. Conduct new types of research and recommend topics for inclusion or upgrade team workflows. Skill Examples: User level skills in use of CDC ThreatConnect Sixgill IntSights VT Premium. Excellent logical problem-solving ability and analytical skills for intelligence processing and analysis Great oral and written communication skills. Ability to conduct presentation of finished intelligence to team members management clients. Ability to create innovative research reports (global trends cross clients collaboration with other teams in the company). Proficiency in data analytics tools - SQL BI reports. Proficiency in Python. Knowledge Examples: Knowledge Examples Understanding of cybersecurity threat landscape. Understanding of enterprise IT Infrastructure including Networks OS Databases Web Applications etc. Experience conducting research in the areas of WEBINT OSINT social media platforms and virtual HUMINT. Experience in gathering dark web intelligence. Training / Certification in Ethical Hacking etc. Additional Comments: Job Description - Threat Intelligence Analyst II - Cyber Security Experience- 12+ years Responsibilities: Focus on automation of threat hunting exercises, designated threat hunting projects, customer onboarding, build customer relation. Perform threat hunting on various enterprise assets by exploring and correlating large data sets resulting in timely notifications for customers. Enable and improve inhouse automation threat hunting projects that use Jupyter notebook, mysticpy etc Uncover novel attack techniques, monitor and catalogue changes in activity group tradecraft. Acquire new and leverage existing knowledge of attacker tools, tactics and procedures to improve the security posture of customers. Effectively engage and collaborate with partners in data science, and threat research to develop and maintain high-fidelity detection rules. Build or identify hunting tools and automation for use in the discovery of human adversaries You would be expected to support a 24/7 operation model that sometimes involves working in night shifts. Deep knowledge of the attacker landscape and rich telemetry from our sensors to perform root- cause analysis and generate custom s, ensuring that customers are well equipped to quickly respond to human adversaries identified in their unique environments. Skilled hunters harness the power of available telemtry / signals to quickly identify and report the latest human adversary behaviours, drive critical context-rich s, build new tools and automation in support of hunting objectives, and drive innovations for detecting advanced attacker tradecraft. Build strong cross team relationship with CTI, Detection engineering/UCM, automation, R&D and sales. Skilled working with extremely large data sets, using tools and scripting languages such as: Excel, SQL, Python, Splunk, and PowerBI. Preferred Qualifications: Bachelor degree preferred in Computer Science, Computer Engineering, Information Security. Knowledge ofoperating system internals, OS security mitigations & understanding of Security challenges in Windows, Linux, Mac, Android & iOSplatforms. Knowledge of kill-chain model, ATT&CK framework, and modern penetration testing techniques. Experience with reverse engineering, digital forensics (DFIR) or incident response, or machine learning models. Experience with system administration in a large enterprise environment including Windows and Linux servers and workstations, network administration. Experience with offensive security including tools such as Metasploit, exploit development, Open Source Intelligence Gathering (OSINT), and designing ways to breach enterprise networks. Additional advanced technical degrees or cyber security certifications such as CISSP, OSCP, CEH, or GIAC certifications. Required Skills Soc,Network Security,Cyber Security

About The Role Skill required: Capacity Planning & Forecasting - Customer Acquisition Strategy & Implementation Designation: Workforce Services Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be aligned with our Customer Support vertical and help us in managing/ resolving customers query, handling escalations and complaints of the dissatisfied customers & giving best resolutions. You will also be responsible for closing the fault and complaints within SLA s.Responsible for developing and managing accurate long-term forecasting models. These forecasts inform staffing, budgeting, and operational decisions across multiple business units and channelsDesign and implement strategies to assist our clients in their strategies to grow and acquire customers. What are we looking for Analyze historical data, run rate efficiency assumptions and future trends and operational data to deliver accurate forecasts. Run sensitivity-based analyses to identify risks. Develop, maintain, and continuously improve forecasting models (volume, workload, and shrinkage) using historical data, trends, and predictive analytics. Ensure all product outlooks are understood and reflect expectation based on detailed knowledge of the product area, ensure that this is clearly articulated both verbally and in writing to all Stakeholders Forecast long term visit demand and job times for field mobility workforce, using historical propensities and commercial drivers. Forecast long term contact demand and call handling time (AHT) for service contact center, using historical propensities and commercial drivers Analyze daily, weekly, and monthly patterns to support dynamic staffing recommendations and capacity planning. Collaborate with business stakeholders (Operations, Finance, HR, etc.) to align forecasts with business objectives and known drivers (marketing campaigns, product launches, seasonality). Create scenario planning models to simulate and present impacts of potential business changes or disruptions. Python (Programming Language) NICE IEX, Genesys5+ years of experience in workforce management forecasting, preferably in a contact center or service operations environment. Advanced proficiency in Excel and data analytics tools (e.g., R, Python). Experience with WFM software (e.g., NICE IEX, Genesys) Strong analytical skills, attention to detail, and a passion for using data to drive operational outcomes Real sense of ownership and accountability to deliver against plan. Exceptional analytical and problem-solving skills, with attention to detail and accuracy. Ability to forge positive, objective relationships with Client, Operations and Support teams. Adapt, thrive and multitask in a demanding workplace while managing pressure, deadlines and conflicting and shifting priorities. Proficiency in basic arithmetic and statistical concepts and strong logical ability desired with strong mathematical calibration skill. Must demonstrate perceptive, thorough and decisive approach to problem solving. Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Communicate forecasts and insights to stakeholders through clear visualizations, reports, and presentations. Monitor actual performance against forecasts, perform variance analyses, and refine forecasting methods accordingly. Lead or contribute to workforce planning projects, tools, or initiatives aimed at improving forecast accuracy and operational efficiency. Mentor junior analysts and forecasters, sharing best practices and helping to develop team capability. Work closely with the Capacity planning team and communicate the changes in demand proactively to be baked in the capacity planning team. Create process maps, standard working instructions for the areas they are responsible for. Qualification Any Graduation

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : PySpark Good to have skills : Apache SparkMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring that the applications are developed according to the specified requirements and are aligned with the business goals. Your typical day will involve collaborating with the team to understand the application requirements, designing and developing the applications using PySpark, and configuring the applications to meet the business process needs. You will also be responsible for testing and debugging the applications to ensure their functionality and performance. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Design and build applications using PySpark.- Configure applications to meet business process requirements.- Collaborate with the team to understand application requirements.- Test and debug applications to ensure functionality and performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Good To Have Skills: Experience with Apache Spark.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 5 years of experience in PySpark.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytms mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Job Summary: We are seeking an experienced and highly analytical professional to join our Internal Audit team. This role is critical in providing independent assurance, enhancing the control environment, and leveraging data analytics to identify anomalies, control gaps, and potential fraud risks. The ideal candidate will have a strong background in internal audit, forensic investigations, and data analytics with extensive exposure to fintech or large service-based organizations. Key Responsibilities: ‚ Lead and execute risk-based internal audits, including operational, financial, and compliance reviews. ‚ Design and implement data analytics frameworks and continuous auditing techniques to enhance audit efficiency and coverage. ‚ Conduct forensic reviews and investigations into suspected fraud, misconduct, or control failures. ‚ Collaborate with cross-functional teams to understand key business processes and identify risks and controls. ‚ Develop automated dashboards and data-driven tools to monitor key risk indicators and red flags. ‚ Report audit findings to senior management and stakeholders with actionable recommendations. ‚ Oversee documentation of working papers, audit procedures, and evidence in line with professional standards. ‚ Mentor junior audit staff and build analytics capability within the team. ‚ Liaise with external auditors, regulators (as needed) on investigations or audits. ‚ Monitor regulatory and industry developments to ensure audit approaches are up to date. Required Qualifications ; Skills: ‚ Chartered Accountant (CA), Certified Internal Auditor (CIA), or Certified Fraud Examiner (CFE) preferred. ‚ 2"“10 years of relevant experience in internal audit, forensic investigations, or risk advisory in a fintech, BFSI, or large service industry setup. ‚ Strong command of data analytics tools (e.g., SQL, ACL, IDEA, Power BI, Python, R). ‚ Proficient in audit management systems and GRC platforms. ‚ Exceptional analytical, investigative, and report-writing skills. ‚ High ethical standards, sound judgment, and the ability to handle confidential information with discretion. ‚ Excellent communication and stakeholder management abilities. Preferred Attributes: ‚ Exposure to digital lending, payments, or financial services platforms. ‚ Experience in automating audit processes and developing audit analytics strategy. ‚ Managing multiple project and execution at a very faster speed. ‚ Go to person for any audit / review SME skills ‚ Hustler and managing end to end projects with minimal handholding.

S&P Global Commodity Insights The Role: Consultant/ Senior Consultant, Oil Markets, Midstream & Downstream (OMD) Consulting within the S&P Global Commodity Insights Consulting Team The Team: This position is in the fast-growing Middle East and Indian Subcontinent (MDEI) consulting team of the Oil Markets, Midstream & Downstream (OMD) in S&P Global Commodity Insights division. We advise clients on crude oil, refined product, storage, retail markets and custom scenarios in the MDEI region and support our clients understanding of the increasing interdependence between crude markets, refining, petrochemical, energy transition (including biofuels) & mobility. The Impact: We are proud to have developed many pivotal market strategies for several National Oil Companies (NOCs), Independents and key stakeholders in the region and acted as com mercial advisors in several recent large capital formation deals in the region. Our clients range from leading NOCs, Governments, Lenders, Investment companies, and their associated industry bodies. We will continue leveraging our extensive regional experience, capabilities, and synergies with other S&P Global teams to deliver an aggressive growth plan in the next three years. Whats in it for you: The successful candidate will have the opportunity to work with a diverse, dynamic, and fast-growing team of consultants with wide-ranging backgrounds in energy and the hydrocarbon value chain. The varied and changing nature of our projects leads to the development of a diverse set of skills and exposure to different industries and clients, including senior industry leaders and policy makers. An outstanding culture, S&P Global consistently returns exceptional employee feedback in surveys identifying the company as a great place to work Responsibilities: Maintain general knowledge of oil and refining market for interaction with project managers and clients. Maintain a fundamental working knowledge of the basic company databases and tools, (Supply/Demand, Global Pricing System, Capacity Data Base and Trade Grids). Execution of projects requested by clients using the knowledge of these databases, tools, and other unique analytical approaches for the OMD Consulting team or the different wider consulting teams across Commodity Insights community. Capable of independent work to support project delivery. Support development, maintenance, and improvement of financial and economic models and lead project streams when directed. Prepare reports or presentations following company standards. Be capable of summarizing project information for clear presentation of results and conclusions to clients. Interface with client, if necessary, in the presentation of the final results. Work on preparing techno-commercial proposals based on client needs and if required to interface with other teams, following company standards and protocols. Work on capabilities building within the team, and knowledge sharing as an ongoing basis. What Were Looking For: 6-10 years of experience in the oil, refining & energy industry within operational, consulting, technology or engineering companies related to the segment. Minimum qualifications are bachelors degree, with chemical engineering will be preferred. MBA will be a strong plus. Ability to work well in a collegiate approach in a team-oriented environment, influencing stakeholders, providing ideas and open feedback. Strong written and oral presentation skills. The candidate must have an analytical frame of mind and be prepared to use data to back up opinions. Experience in downstream refining segment is a must have and can include retail, technical services, biofuels, lubricants, economic planning and scheduling, Corporate Strategy/ or trading segments. Experience in refining LP modelling tool PIMS, Data Analytics tools would be an added advantage.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP EWM Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will collaborate with multiple teams, contribute to key decisions, and provide solutions to problems for your immediate team and across multiple teams. A typical day in this role involves analyzing business requirements, designing and implementing application solutions, and ensuring the quality and integrity of the data. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Design and implement application solutions- Analyze business requirements- Ensure the quality and integrity of the data Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP EWM- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP EWM- A 15 years full time education is required Qualification 15 years full time education

Project Role : Engineering Services Practitioner Project Role Description : Assist with end-to-end engineering services to develop technical engineering solutions to solve problems and achieve business objectives. Solve engineering problems and achieve business objectives using scientific, socio-economic, technical knowledge and practical experience. Work across structural and stress design, qualification, configuration and technical management. Must have skills : Aircraft Systems Good to have skills : Aircraft Design, Airbus Configuration ToolsMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a skilled and detail-oriented Design Engineer to support the structural repair design of aircraft wing components. The role involves evaluating in-service damage, developing repair schemes, supporting fleet issues, and ensuring compliance with airworthiness requirements. The ideal candidate will have a strong background in aircraft structural design, repair practices, and regulatory standards. Roles & Responsibilities:Evaluate structural damage on aircraft wings and provide suitable repair solutions in compliance with OEM standards and airworthiness requirements.Design and validate structural repairs using Airbus Methodology and approved engineering tools.Develop repair drawings, technical schemes, and engineering reports.Coordinate with team members and OEM for repair approvals and clarifications.Support fleet engineering by investigating damage trends and recommending design or operational improvements.Contribute to continuous improvement initiatives in repair development and engineering processes.Ensure timely delivery of engineering documentation with accuracy and compliance to internal and regulatory requirements.Participate in technical reviews, risk assessments, and design validation activities. Professional & Technical Skills: - Must To Have Skills: Proficiency in Aircraft Systems.- Strong understanding of statistical analysis and machine learning algorithms.- Solid grasp of data munging techniques. Additional Information:- The candidate should have a minimum of 28 years of experience in aircraft structures design or repair, preferably with a focus on wings.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Company: Marsh Description: We are seeking a talented individual to join our Claims team at Marsh Mc Lennan. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. The Knowledge Services team is an essential part of the strategic vision for Claims Advocacy. The Claims Advocacy team in Mumbai consists of dedicated claims professionals who support Casualty and Property claim advocates in the U.S. region. This role involves assisting Marine, Cargo & Logistics Claims Advocates in the U.S. Responsibilities include helping clients navigate their claims and managing complex insurance issues. The selected candidate will provide high-quality claims advocacy services tailored to the needs of the U.S. region. This position is located in the Mumbai office at Hiranandani. We will count on you to: Receive claim notices from US advocates and promptly notify relevant markets through the Operations team. Follow up with each market and the assigned claim adjuster to secure timely acknowledgment of the claim. Ensure that all correspondence and actions from the lead insurer are effectively communicated to all following markets. Proactively review all claims (new and old) and establish a plan of action to achieve a favourable claims resolution. Verify claims in accordance with the terms and conditions of the policy. Provide professional and timely communication with clients, brokers, and third parties to gather information and update them on the claims process. Provide regular and comprehensive status reports to account executives and claims managers. Work with the wider claims team to ensure the effective handling, processing and filing of claims on market and internal systems. Develop PowerPoint presentations for internal and external stakeholders. Chase for payments from insurers once claims have been approved to ensure prompt financial resolution. Ensure that the MClaim file is closed correctly, and all necessary documentation is completed. Collaborate with US claims advocates to support the management of complex and high-value claims, providing assistance as needed to ensure effective resolution. Assist US claims advocates by delivering data and analytics insights on high-frequency accounts, helping to identify trends and inform decision-making. What you need to have: 7-8 years of experience in the General Insurance domain across different types of claims, claims lifecycle and claim data. Graduate or masters in commerce or business administration or any equivalent education programme in Insurance domain. Should possess sound knowledge of Marine insurance claims related to cargo, vessels, or liabilities along with marine insurance laws and maritime regulations. Strong leadership skills with the ability to guide teams, make confident decisions, and drive results through collaboration and clear direction. MS Office proficiency (Word, Excel, Outlook, PowerPoint). Strong Excel proficiency. Strong verbal and written communication skills - excellent email writing skills. Must be comfortable with working on new age data management tools What makes you stand out Strong persistence and follow-up skills. Possession of relevant insurance designations such as AIC (Associate in Claims) or AII (Associate in Insurance) is highly beneficial. Knowledge and experience of resolving complex claims across a variety of relevant business lines. Proficient in data analytics tools, with a strong ability to derive actionable insights from complex datasets. Experienced in working with AI models, leveraging advanced technologies to enhance decision-making processes. Proven track record of collaborating with offshore colleagues, fostering teamwork and driving project success across geographical boundaries Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Company: Oliver Wyman Description: Oliver Wyman DNA team is now looking to hire a Senior Data Analytics Specialist - we are looking for individuals with strong experience in Power BI and Tableau OW DNA Overview The Oliver Wyman DNA is a distinguished center of excellence for business analytics and data analytics within Oliver Wyman. This group leverages data and information to provide business insights to Oliver Wyman consulting teams driving positive outcomes and tangible impact for Oliver Wymans clients. The group combines cutting edge data science expertise with core consulting expertise to augment engagement teams with analytical firepower to deliver outstanding results. Key Responsibilities: Design and create interactive dashboards to effectively communicate data insights to stakeholders. Gather and extract data from various databases, Excel, and other relevant sources to support BI reporting and analysis. Engage with stakeholders to understand their reporting needs and define key performance indicators (KPIs) and ensure alignment with business objectives. Coordinate with various stakeholders to understand the data structure, collect, clean, transform, validate, and visualize datasets, ensuring the integrity of our data flows Develop data models to identify relationships and trends within the data, enhancing the understanding of business performance. Perform analysis in SQL and Python to derive actionable insights and support data-driven decision-making. Maintain and optimize existing BI reports and dashboards, ensuring accuracy and relevance of the information presented. Manage the design, development, and delivery of self-service data infrastructure Identify and manage dependencies and risks across various analytics datasets and models Education: Bachelors degree in science, Finance, Mathematics, Economics or equivalent. MS or Certificate courses in analytics preferred Experience: Overall experience of 2+ years in business intelligence tools such as Power BI, Tableau. Excellent analytical and problem-solving skills with proven ability to deliver actionable insights and proficiency in data modelling and visualization skills. Proven experience with data automation, creating dashboards in Power BI and Tableau and analytical models. Strong written and verbal communication skills with demonstrated ability to interact effectively with all levels of stakeholders (both internal and external) Fast learner with ability to learn and pick up a new tool/ platform quickly Advanced skills in MS-office, along with familiarity with Gen AI and other analytical tools preferred Experience in data analytics tools such as SQL and python is preferred Willingness to travel as required to meet client needs. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Company: Oliver Wyman Description: Oliver Wyman DNA team is now looking to hire a Lead Data Analytics Specialist based in our Hyderabad office. OW DNA Overview The Oliver Wyman DNA is a distinguished center of excellence for business analytics and data analytics within Oliver Wyman. This group leverages data and information to provide business insights to Oliver Wyman consulting teams driving positive outcomes and tangible impact for Oliver Wymans clients. The group combines cutting edge data science expertise with core consulting expertise to augment engagement teams with analytical firepower to deliver outstanding results. Key Responsibilities: Serve as the primary analytical resource for client teams, building trusted relationships with key stakeholders. Collaborate with senior team members to identify risks and growth opportunities, utilizing analytical insights for client benefit. Extract and manipulate data from various sources using SQL and Python for business intelligence reporting. Engage with stakeholders to understand reporting needs and align KPIs with strategic objectives. Coordinate with stakeholders to collect, clean, and validate datasets, ensuring data integrity through coding techniques. Develop and implement data models in SQL and Python to uncover trends and enhance business performance insights. Conduct in-depth analyses with SQL and Python to provide actionable insights for client decision-making. Maintain and optimize BI reports through coding improvements to ensure accuracy and relevance. Stay updated on market trends and best practices in data analytics to enhance service offerings and quality standards. Mentor junior team members in analytical coding practices, fostering a collaborative learning environment. Education: Bachelors degree in science, Finance, Mathematics, Economics or equivalent. MS or Certificate courses in analytics preferred Experience: Over 4+ years of experience in data analytics, focused on SQL and Python coding. Proficient in data analytics tools such as SQL and Python, with a solid track record of managing complex analytical projects Strong analytical and problem-solving skills, delivering actionable insights through data modelling and analysis Excellent client-facing abilities, building relationships with senior stakeholders and influencing decision-makers. Strong written and verbal communication skills, effectively engaging with stakeholders at all levels. Adaptive learner with the ability to rapidly adopt new tools and platforms, including knowledge of Gen AI Entrepreneurial mindset with a collaborative approach to problem-solving and a commitment to mentoring and developing talent. Familiarity with creating visualizations in Power BI and Tableau is a plus. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your responsibilities include ensuring the smooth functioning of applications, addressing any arising issues, collaborating with the team, making team decisions, and engaging with multiple teams. Your problem-solving abilities and expertise in SAP Global Trade Services will be crucial in contributing to the success of the project. You are expected to be a Subject Matter Expert (SME) and manage the team to perform effectively. Your role involves making team decisions, contributing to key decisions, providing solutions to problems within and across multiple teams, and ensuring the applications" smooth operation. Proficiency in SAP Global Trade Services, statistical analysis, machine learning algorithms, data visualization tools like Tableau or Power BI, and hands-on experience with various machine learning algorithms are essential. Additionally, you should have a strong grasp of data munging techniques to maintain data quality and integrity. The ideal candidate should possess a minimum of 7.5 years of experience in SAP Global Trade Services. This full-time position is based in Hyderabad and requires a 15 years full-time education.,

Key Responsibilities:Design, develop, and maintain advanced dashboards and reports in Tableau that provide insights into user engagement, product performance, and business metrics.Utilize Databricks to process, clean, and analyze large volumes of data efficiently.Develop complex SQL queries and optimize data pipelines for analytics workflows.Collaborate with cross-functional teams to define key metrics, data requirements, and analytical approaches.Conduct deep-dive analyses and present findings with clear data storytelling to influence product and business strategies.Automate routine reporting and data validation tasks to ensure accuracy and timeliness.Mentor junior analysts and promote best practices in data visualization and analytics.Stay current with latest trends and tools in data analytics, visualization, and big data platforms.

Responsibilities Data engineering lead role for D&Ai data modernization (MDIP) Ideally Candidate must be flexible to work an alternative schedule either on tradition work week from Monday to Friday; or Tuesday to Saturday or Sunday to Thursday depending upon coverage requirements of the job. The can didate can work with immediate supervisor to change the work schedule on rotational basis depending on the product and project requirements. Responsibilities Manage a team of data engineers and data analysts by delegating project responsibilities and managing their flow of work as well as empowering them to realize their full potential. Design, structure and store data into unified data models and link them together to make the data reusable for downstream products. Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products. Create reusable accelerators and solutions to migrate data from legacy data warehouse platforms such as Teradata to Azure Databricks and Azure SQL. Enable and accelerate standards-based development prioritizing reuse of code, adopt test-driven development, unit testing and test automation with end-to-end observability of data Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality, performance and cost. Collaborate with internal clients (product teams, sector leads, data science teams) and external partners (SI partners/data providers) to drive solutioning and clarify solution requirements. Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects to build and support the right domain architecture for each application following well-architected design standards. Define and manage SLAs for data products and processes running in production. Create documentation for learnings and knowledge transfer to internal associates. Qualifications 12+ years of engineering and data management experience Qualifications 12+ years of overall technology experience that includes at least 5+ years of hands-on software development, data engineering, and systems architecture. 8+ years of experience with Data Lakehouse, Data Warehousing, and Data Analytics tools. 6+ years of experience in SQL optimization and performance tuning on MS SQL Server, Azure SQL or any other popular RDBMS 6+ years of experience in Python/Pyspark/Scala programming on big data platforms like Databricks 4+ years in cloud data engineering experience in Azure or AWS. Fluent with Azure cloud services. Azure Data Engineering certification is a plus. Experience with integration of multi cloud services with on-premises technologies. Experience with data modelling, data warehousing, and building high-volume ETL/ELT pipelines. Experience with data profiling and data quality tools like Great Expectations. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one business intelligence tool such as Power BI or Tableau Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes. Experience with version control systems like ADO, Github and CI/CD tools for DevOps automation and deployments. Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools. Experience with Statistical/ML techniques is a plus. Experience with building solutions in the retail or in the supply chain space is a plus. Understanding of metadata management, data lineage, and data glossaries is a plus. BA/BS in Computer Science, Math, Physics, or other technical fields. Candidate must be flexible to work an alternative work schedule either on tradition work week from Monday to Friday; or Tuesday to Saturday or Sunday to Thursday depending upon product and project coverage requirements of the job. Candidates are expected to be in the office at the assigned location at least 3 days a week and the days at work needs to be coordinated with immediate supervisor Skills, Abilities, Knowledge: Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management. Proven track record of leading, mentoring data teams. Strong change manager. Comfortable with change, especially that which arises through company growth. Ability to understand and translate business requirements into data and technical requirements. High degree of organization and ability to manage multiple, competing projects and priorities simultaneously. Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment. Strong leadership, organizational and interpersonal skills; comfortable managing trade-offs. Foster a team culture of accountability, communication, and self-management. Proactively drives impact and engagement while bringing others along. Consistently attain/exceed individual and team goals. Ability to lead others without direct authority in a matrixed environment. Comfortable working in a hybrid environment with teams consisting of contractors as well as FTEs spread across multiple PepsiCo locations. Domain Knowledge in CPG industry with Supply chain/GTM background is preferred.

As an IT Service Management Representative, you will oversee the delivery of IT production systems and services, supporting the infrastructure service management lifecycle to ensure client satisfaction and manage service risks. Your role involves providing operational support to keep production systems and devices online and available. Expected to perform independently and become a Subject Matter Expert (SME), you will actively participate and contribute in team discussions, providing solutions to work-related problems. Your responsibilities include managing delivery for IT production systems and services, supporting the infrastructure service management lifecycle, ensuring client satisfaction, and managing risk to services. Additionally, you will collaborate with team members to troubleshoot and resolve issues. Required professional and technical skills include proficiency in Reporting Analytics, a strong understanding of statistical analysis and machine learning algorithms, experience with data visualization tools like Tableau or Power BI, and hands-on experience in implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. You should also have a solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Candidates should possess a minimum of 3 years of experience in Reporting Analytics. This position is based at our Nagpur office, and a 15 years full-time education is required.,

Project Role : Business Architect Project Role Description : Define opportunities to create tangible business value for the client by leading current state assessments and identifying high level customer requirements, defining the business solutions and structures needed to realize these opportunities, and developing business case to achieve the vision. Must have skills : Business Requirements Analysis Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : BE or Btech Summary :As a Business Architect, you will define opportunities to create tangible business value for the client by leading current state assessments and identifying high-level customer requirements. You will be responsible for defining the business solutions and structures needed to realize these opportunities and developing a business case to achieve the vision. Your role will involve collaborating with multiple teams and engaging in key decision-making processes to provide solutions for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute to key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead current state assessments to identify high-level customer requirements- Define business solutions and structures to realize opportunities- Develop a business case to achieve the vision Professional & Technical Skills: - Must To Have Skills: Proficiency in Business Requirements Analysis- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in Business Requirements Analysis- This position is based at our Coimbatore office- A BE or Btech is required Qualification BE or Btech

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead research and development initiatives- Implement cutting-edge AI/ML algorithms- Stay updated on industry trends and advancements Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in Large Language Models- This position is based at our Hyderabad office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Business Function Implementation Lead Project Role Description : Plan and lead the implementation of all activities for a specific business function to improve performance for the business function end to end. Ensure alignment with business requirements including process analysis, design/re-design and/or organization structure definition. Must have skills : SAP CO Management Accounting Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Function Implementation Lead, you will plan and lead the implementation of all activities for a specific business function to improve performance for the business function end to end. You will ensure alignment with business requirements including process analysis, design/re-design, and/or organization structure definition. Your typical day will involve strategizing and executing plans to optimize the performance of the business function, analyzing processes, and identifying areas for improvement. You will collaborate with cross-functional teams and provide guidance to achieve business goals. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of all activities for a specific business function.- Ensure alignment with business requirements including process analysis, design/re-design, and/or organization structure definition.- Strategize and execute plans to optimize the performance of the business function.- Analyze processes and identify areas for improvement. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP CO Product Cost Controlling.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP CO Product Cost Controlling.- This position is based at our Chennai office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP FI S/4HANA Accounting Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP FI CO Finance- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP FI CO Finance- This position is based at our Hyderabad office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Guidewire Digital Portals Good to have skills : React.jsMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Process Architect, you will analyze and design new business processes to create the documentation that guides the implementation of new processes and technologies. Partner with the business to define product requirements and use cases to meet process and functional requirements. Participate in user and task analysis to represent business needs. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Analyze and design new business processes to create documentation for implementation.- Partner with the business to define product requirements and use cases.- Participate in user and task analysis to represent business needs.- Collaborate with cross-functional teams to ensure successful process implementation.- Identify areas for process improvement and recommend solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Guidewire Digital Portals.- Good To Have Skills: Experience with React.js.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 2 years of experience in Guidewire Digital Portals.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Sales and Distribution (SD) Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute to key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Sales and Distribution (SD)- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP Sales and Distribution (SD)- This position is based in Mumbai- A 15 years full-time education is required Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems that utilize AI tools and Cloud AI services. You will be responsible for creating a proper cloud or on-prem application pipeline with production-ready quality. Additionally, you will apply GenAI models as part of the solution, which may include deep learning, neural networks, chatbots, and image processing. Your role will contribute to the advancement of AI technology and its applications in various industries. Roles & Responsibilities:- Expected to be an SME in AI/ML Computational Science- Collaborate and manage the team to perform effectively- Responsible for team decisions and ensuring their successful implementation- Engage with multiple teams and contribute to key decisions- Expected to provide solutions to problems that apply across multiple teams- Contribute to the development of AI applications and systems- Utilize AI tools and Cloud AI services to create robust solutions- Implement proper cloud or on-prem application pipelines with production-ready quality- Apply GenAI models as part of the solution- Explore and implement deep learning techniques and neural networks- Develop chatbots and work on image processing projects Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on experience implementing various machine learning algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 12 years of experience in Machine Learning- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring the smooth functioning of applications and providing solutions to work-related problems. A typical day in this role involves collaborating with the team, analyzing business requirements, and developing efficient applications to meet those requirements. You will also actively participate in team discussions and contribute to providing solutions to work-related problems. This role requires a strong understanding of SAP ABAP Development for HANA and proficiency in SAP ABAP Development. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Collaborate with the team to analyze business requirements.- Design and build efficient applications to meet business process and application requirements.- Configure applications to ensure smooth functioning.- Troubleshoot and debug applications to identify and resolve issues.- Provide technical support and guidance to end-users.- Stay updated with the latest industry trends and technologies.- Continuously enhance skills and knowledge in SAP ABAP Development for HANA. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA, SAP ABAP Development.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in SAP ABAP Development for HANA.- This position is based at our Bengaluru office.- A 15 years full-time education is required.- Should support in the US timings (Afternoon and Night India time) Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP CO Management Accounting Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP CO Product Cost Controlling, SAP CO Management Accounting- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP CO Product Cost Controlling- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Business Analyst Project Role Description : Analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Assess current state, identify customer requirements, and define the future state and/or business solution. Research, gather and synthesize information. Must have skills : Property and Casualty Insurance Good to have skills : Business Requirements AnalysisMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Analyst, you will analyze an organization and design its processes and systems, assessing the business model and its integration with technology. You will assess the current state, identify customer requirements, and define the future state and/or business solution. Additionally, you will research, gather, and synthesize information to contribute to the success of the organization. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Conduct thorough analysis of business processes and systems.- Identify areas for improvement and propose solutions.- Collaborate with stakeholders to gather and document business requirements.- Create and maintain project documentation.- Assist in the development and execution of test plans.- Conduct user acceptance testing and provide feedback.- Support the implementation of new processes and systems.- Provide training and support to end-users.- Stay up-to-date with industry trends and best practices.- Assist in the development and implementation of change management strategies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Property and Casualty Insurance, Business Requirements Analysis.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.- Strong understanding of business process modeling and analysis.- Experience in conducting stakeholder interviews and workshops.- Ability to translate business requirements into functional specifications.- Familiarity with data analysis and visualization tools.- Ability to work effectively in a cross-functional team environment. Additional Information:- The candidate should have a minimum of 5 years of experience in Property and Casualty Insurance and Business Requirements Analysis.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. You will collaborate with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Your typical day will involve working on the data platform blueprint and design, collaborating with architects, and ensuring seamless integration between systems and data models. Expected to perform independently and become an SME, you will actively participate/contribute in team discussions and provide solutions to work-related problems. Your responsibilities will include assisting with the data platform blueprint and design, collaborating with Integration Architects and Data Architects, ensuring cohesive integration between systems and data models, implementing data platform components, and troubleshooting and resolving data platform issues. In terms of professional & technical skills, proficiency in Databricks Unified Data Analytics Platform is a must-have. You should have a strong understanding of statistical analysis and machine learning algorithms, experience with data visualization tools like Tableau or Power BI, and hands-on experience implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Furthermore, a solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity, is essential. The candidate for this position should have a minimum of 3 years of experience in Databricks Unified Data Analytics Platform. This position is based at the Bengaluru office and requires a 15 years full-time education.,