1830 Data Mining Jobs - Page 29

As a Senior Analyst - Business Systems, you will be responsible for developing, deploying, and supporting business applications which automate exiting manual process and reporting for the assigned organization(s). Responsibilities: Develop solutions to streamline and automate processes while identifying and addressing technical issues to maximize overall business results for the assigned organization(s). Analyze business processes, identify process deficiencies, research solutions, and plan and coordinate correction of these deficiencies. Consult with various teams within the organization to identify opportunities for automation and process improvement. Design, develop, debug, release, and support new .NET, Robotic Process Automation (RPA), and SQL code as needed to implement identified opportunities. Improve, troubleshoot, maintain, and handle support for existing applications. Support internal teams of the assigned areas to ensure all technology is working correctly and all data is being processed accurately and timely. Maintain all databases and jobs on SQL Server and handle any issues, failures, or modifications that may arise. May produce ad-hoc reporting for assigned teams to get them access to the data needed to maximize business results. Qualifications: Bachelor s Degree - IT, Computer Science, Math, MIS or Data Analytics. 4-6 years experience required creating/developing and delivering/implementing software and technology solutions. 4-6 years experience required working with core software applications (examples include .NET, SQL, GIT, Subversion, etc.). Strong working knowledge of Microsoft Excel, Access and other Office software. Strong organization skills. Strong communication and interpersonal skills. Excellent ability to accurately communicate complex concepts in ways that resonate with various audiences. Strong data analysis skills with the ability to use data from various sources to draw insights that inform strategy and prioritization. Strong problem-solving skills and the ability to analyze workflow and processes. Ability to exercise judgment about the most productive course of action. 1 year creating and troubleshooting RPA bots using MS Flows and UI Path. Experience in project management and planning. Experience in distribution industry software implementation. Strong data mining and data analysis. Knowledge of IT design, testing and documentation methods. Ability to travel up to 25%.

HSBC electronic data processing india pvt ltd is looking for Consultant Specialist to join our dynamic team and embark on a rewarding career journeyThe Consultant Specialist plays a critical role in providing specialized expertise and consulting services to clients or within the organization This position involves offering strategic insights, solving complex problems, and delivering high-quality solutions tailored to the unique needs of clients or projects Key Responsibilities:Consultation and Analysis:Conduct in-depth analysis and assessment of client needs, challenges, and objectives Offer expert advice and guidance to clients on relevant industry trends, best practices, and strategies Develop comprehensive solutions to address client issues and achieve desired outcomes Project Management:Plan and execute consultancy projects, ensuring adherence to timelines and budgets Monitor project progress, identify potential risks, and implement mitigation strategies Collaborate with cross-functional teams to deliver integrated solutions Data Analysis and Research:Collect, analyze, and interpret data to provide data-driven insights Conduct research to stay updated on industry developments and emerging trends Create reports and presentations to communicate findings effectively Client Relationship Management:Cultivate strong, long-term relationships with clients and stakeholders Communicate regularly with clients to ensure their needs are met and expectations are exceeded Identify opportunities for additional services and business growth Training and Knowledge Sharing:Provide training, workshops, or presentations to clients or internal teams as needed Share expertise and knowledge with colleagues to enhance overall team capabilities

HSBC electronic data processing india pvt ltd is looking for Consultant Specialist to join our dynamic team and embark on a rewarding career journeyThe Consultant Specialist plays a critical role in providing specialized expertise and consulting services to clients or within the organization. This position involves offering strategic insights, solving complex problems, and delivering high-quality solutions tailored to the unique needs of clients or projects.Key Responsibilities:Consultation and Analysis:Conduct in-depth analysis and assessment of client needs, challenges, and objectives.Offer expert advice and guidance to clients on relevant industry trends, best practices, and strategies.Develop comprehensive solutions to address client issues and achieve desired outcomes.Project Management:Plan and execute consultancy projects, ensuring adherence to timelines and budgets.Monitor project progress, identify potential risks, and implement mitigation strategies.Collaborate with cross-functional teams to deliver integrated solutions.Data Analysis and Research:Collect, analyze, and interpret data to provide data-driven insights.Conduct research to stay updated on industry developments and emerging trends.Create reports and presentations to communicate findings effectively.Client Relationship Management:Cultivate strong, long-term relationships with clients and stakeholders.Communicate regularly with clients to ensure their needs are met and expectations are exceeded.Identify opportunities for additional services and business growth.Training and Knowledge Sharing:Provide training, workshops, or presentations to clients or internal teams as needed.Share expertise and knowledge with colleagues to enhance overall team capabilities.

The role In this role, you will contribute towards solution development using Python, Tableau/Power BI and Advanced Excel for a range of data analytics problems. You will be working within the Wolters Kluwer FSS organization to support the Financial Leadership in identifying financial strategic needs and directions for FSS. Key responsibilities Report and Dashboard Maintenance and Improvement: Simplify, standardize, and automate existing reports and dashboards. Enhance visualization and drill-down capabilities to provide better insights for Root Cause Analysis. Data Mining and Analytics Skills: Proficient in data mining and data analytics to derive insights from various datasets. Stakeholder Management Foster positive and professional relationships with all stakeholders in the workplace for effective collaboration and communication Forecast Model Preparation: Create forecast models based on historical trends, vendor invoices, and volume data to predict future trends. Business Opportunity Identification and Optimization: Assist in identifying business unit opportunities and challenges by continually reviewing and analyzing financial and operational data. Model trends, identify relationships, and spot opportunities. Test hypotheses and alternatives to find optimal solutions. Collaborate with other leaders to identify new business models and workflows. Key skills and experience required Required experience in Data science/analysis 3 years at least Required: Bachelor s degree in data science/analytics, finance, accounting, or economics or Engineering in Computer Science, or related quantitative field Required - Visualization tools (like Tableau, Power BI etc) Strong python programming skills for data transformations with packages such as numpy and pandas Preferred: Advanced Excel & SQL Sound Knowledge of statistical modelling Strong analytical skills; capable of multi-tasking in fast-paced, dynamic environment Ability to communicate effectively to multiple constituencies in multiple platforms including email.

" About the role: PSS has been mandated to hire a Relationship Manager Alternatives Investment Managers for a diversified financial services organization with broad experience in financial markets. Role Responsibilities: Consistently mapping out the distribution landscape and sourcing new demand Distribution outreach by telephone/e-mail to secure meetings with key prospects Develop and deepen relationships with distributors Regularly update the Distributor Database Gather intel through efficient data mining and analysis to drive business development efforts Liaise with the investment team to effectively articulate the investment philosophy with large distributors Focusing and creating a plan to minimise brokerage/commission to increase the revenue growth of sales. Plan events with distributors to maximise business conversion in the respective counter Role Requirements: Excellent academic credentials from a prestigious MBA or equivalent programme A minimum of 8+ years of relevant experience in the financial services industry Strong presentation and communication skills Unquestionable integrity and strong work ethic Strong experience in the distribution segment (IFA, Wealth), preferably in AMC/Credit fund/Private Equity Fund Deep knowledge of fixed income markets Must be able to conceptualize and communicate complex information through presentations/reports #LI-NV1 ",

" About the Client: PSS has been mandated to hire a Lead Analytics for a leading Indian Consumer Appliances and Lighting Solutions company. Reporting to: Chief Information Officer Type of Role: Team Lead Job Purpose: The Analytics Manager will work closely with leaders across product, sales, supply-chain and marketing to support and implement high-quality, data-driven decisions. They will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow. They will use advanced data modeling, predictive modeling and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business outcomes. The right person for the job will apply their exhaustive knowledge of data analysis to solving real-world problems faced by our company and finding opportunities for improvement across multiple projects, teams, and business units. KEY RESPONSIBILITIES: Develop and implement a comprehensive analytics strategy to support the organizations business objectives. Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Build, develop, and maintain data models, reporting systems, data automation systems, dashboards, and performance metrics support that support key business decisions on Microsoft Power BI and Snowflake. Driving key business-impacting processes like demand forecast generation and SNOP processes. Generating sales recommendations for the trade sales team. Optimizing business processes like network, inventory, etc., with data modeling and predicting / prescribing algorithms. Oversee the design and delivery of reports and insights that analyze business functions and key operations, and performance metrics. Manage and optimize processes for data intake, validation, mining, and engineering, as well as modeling, visualization, and communication deliverables. Anticipate future demands of initiatives related to people, technology, budget, and business within your department and design/implement solutions to meet these needs. Apply advanced analytics techniques to improve commercial routines and processes. Organize and drive the successful completion of data insight initiatives through effective management of analysts and data employees and effective collaboration with stakeholders. Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company. Ability to look, analyse, critically think, and communicate insights to support data-driven decisions. EDUCATIONAL QUALIFICATIONS: B.E/ BTech / M.Tech (Computer Science, Statistics, Data Management, Business Intelligence) or MBA/ PGDM (Data Science/Business Analytics/Business Intelligence/Sales/Marketing) WORK EXPERIENCE: With 10+ years of experience in a position monitoring, managing, manipulating, and drawing insights from data, and someone with at least 3 years of experience leading a team Experience with data visualization tools: Power BI, Tableau, Raw, chart.js, etc. Experience in understanding and managing the data flow across multiple systems to the data warehouse. CERTIFICATIONS: Prefer to have SAS / Microsoft / AWS Certified Analytics Professional PREFERRED/ ADDITIONAL REQUIREMENT: Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources. Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units. FUNCTIONAL COMPETENCIES: Strong problem-solving, quantitative, and analytical abilities. Strong ability to plan and manage numerous processes, people, and projects simultaneously. Excellent communication, collaboration, and delegation skills. BEHAVIORAL COMPETENCIES: Critical Thinking. Exercise sound reasoning to analyze issues, make decisions, and find innovative solutions. Professionalism. Demonstrate Integrity through work ethic, personal accountability, professional image, and ethical behaviour. #LI-NV1 ",

HERE is searching for a Lead Data Scientist for our Foundation Engineering Development Group. You will be part of an engineering team that works closely with Data Scientists to develop Data extraction, Data visualization, Data labelling and Data validation software with a focus on continuous delivery. In this team, you will have opportunity to work on full stack development technologies and is an excellent opportunity to work with an energetic and dedicated team of software engineers and computer vision/machine learning experts on highly visible, technology-driven problems with a direct connection to the success of the company. The Lead Data Scientist in this team would have to be passionate about innovating and developing machine learning and data analytics solutions to build our industry-leading map. We provide the opportunity to collaborate with an energetic and dedicated team that works on cutting-edge technology to create tools and services. The candidate will work with researchers, developers, architects, IT to develop, deploy, and maintain applications in multiple environments. What You ll Get: Challenging problems to solve Opportunities to learn cool new things Work that makes a difference in the world Freedom to decide how to perform your work Variety in the types of projects Feedback so you will know how well you are doing Collaborative, Supportive Colleagues Responsibilities: Help design and build the next iteration of process automation in HERE Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making. Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-maing data decisions and system control needs. Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling. Function as a predictive modeling or application team lead on Core Map projects. Who are you? Requirements: MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization. Minimum of 8+ years related professional experience. Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. Should have expert-level knowledge in one or more of these areas. Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms. Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc. Programming experience with SQL, shell script, Python, etc. Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis. Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques. Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions. Preferred Qualifications: Development experience with and Scala Development experience with Docker Development experience with GIS data Development experience with NoSQL (i.e. DynamoDB) At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel. In this role you be part of the Content Automation group. You will work alongside high energy, innovative teams leveraging cutting edge technology to identify new technologies, processes, and sources to build the best-in-class high definition map used in autonomous driving. You will be enabling one of the largest technological and cultural shifts in the modern world, creating enhanced road safety, reduced congestion, lower emissions, and expanded mobility, paving the way for a more efficient and sustainable transportation future.

Job Responsibilities Use predictive modeling to increase and optimize customer experiences, revenue generation, campaign optimization and other business outcomes Work with product management to develop data use cases and embed predictive models in workflows on resource constrained platforms and cloud enabled. Selecting features, building and optimizing classifiers using machine learning and deep learning techniques Collaborates with Data Engineers to enhance data collection and ingestion/curation techniques to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Develop processes and tools to monitor and analyze model performance and data accuracy. Life cycle management of predictive models. Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. Managing and designing the reporting environment, including data sources security, and metadata. Job Qualifications: Master s degree or PhD in Computer Science, Information management, Statistics or related field, with 5 to 7 years of experience in the Consumer or Healthcare industry manipulating data sets and building predictive models with focus on product development Experience in statistical modelling, machine learning, data mining, unstructured data analytics and natural language processing. Sound understanding of - Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Nonparametric Methods, Multivariate Statistics, etc. Strong hands on knowledge of ML techniques like regression algorithms, K-NN, Na ve Bayes, SVM and ensemble techniques like Random forest, AdaBoost etc Having strong knowledge in unsupervised learning algorithms using Neural networks and Deep-Learning Strong knowledge in Data Wrangling and Exploration techniques to identify the patterns, trends and outliners. Deep knowledge and practical experience with data science toolkits, such as NumPy, Pandas, scikit-learn or equivalent Experience with data visualization tools, such as QlikView, Matplotlib, seaborn or equivalent tools. Proficiency in using query languages, such as SQL, PL/SQL Hands on experience in the one or more databases like Hadoop, AWS Redshift, Snowflake etc. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good ETL scripting and programming skills, such as Python, R or Scala to integrate developed solution into the proposition. A team player capable of working and integrating across cross-functional team for implementing project requirements. Experience in technical requirements gathering and documentation. Ability to work effectively and independently in a fast-paced global collaborative agile team environment with tight deadlines A flexible, pragmatic and collaborative team player with innate ability to engage with stakeholders at all levels in the organization. A self-starter with high levels of drive, energy, resilience and a desire for professional excellence with a passion for data and data science

Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies. The Supply Quality team in Bangalore has the charter to build data-science focused products and platforms for indexing and modulating the quality of supply in Amazon Advertising. One of our key focus areas is Traffic Quality where we endeavour to identify non-human and invalid traffic within programmatic ad sources, and weed them out to ensure a high quality advertising marketplace. We do this by building machine learning, large language models, and optimization algorithms that operate at scale, and leverage nuanced features about user, context, and creative engagement to determine the validity of traffic. The challenge is to stay one step ahead by investing in deep analytics and developing new algorithms, including advanced LLM-based detection systems, that address emergent attack vectors in a structured and scalable fashion. We are committed to building a long-term traffic quality solution that encompasses all Amazon advertising channels and provides state-of-the-art traffic filtering that preserves advertiser trust and saves them hundreds of millions of dollars of wasted spend. We typically process ad-impressions and clicks in the orders of billions per day. To handle data at this scale, we use open source technologies like Hadoop, Spark, Redis and Amazons cloud services like EC2, S3, EMR, DynamoDB and RedShift. We build and deploy complex machine learning, LLM-powered systems, and advanced optimization algorithms that operate at scale. All of our systems tend to be loosely coupled, communicating using synchronous and asynchronous messaging, leading to a classic distributed processing architecture. We are building real-time platforms to detect robotic clicks by evaluating complex bot patterns on the traffic data, enhanced by LLM-based pattern recognition. We are also building a large-scale data mining platform to automatically detect anomalies in traffic patterns and identify complex feature combinations that explain the anomaly. The Traffic Quality team is looking for talented Engineers who enjoy working on creative algorithms, building large-scale systems and who thrive in a fast paced fun environment. As an engineer you would design business critical systems, write high quality code and mentor other engineers. You should have owned, designed and delivered multiple products. You have deep knowledge of Java/C++, Object-oriented Design, Service Oriented Architecture, and experience with LLM integration. You are passionate about building massively scalable solutions and distributed systems. Amazon.com offers competitive salary, stock grants, health and other benefits. 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelors degree in computer science or equivalent

: As a PM I, IXD Flow Execution, you will have the opportunity to manage and develop a team who are tasked with maintaining the flow between Fulfilment centers (INFC) and Crossdock fulfillment centers (IXD) across IN. You have to influence stakeholders and have the ability to solve complex, technical problems with simple, innovative and practical solutions. Flow managers are data driven, leveraging mechanisms and creating scalable solutions that eliminate these ambiguities. They are comfortable leading teams with advanced analytical, mathematical, and quantitative capabilities. Basic qualifications 1.At least 4 years of experience in a top tier company driving programs or projects. 2.Supply Chain background preferable but not mandatory. We hire for core skills, not specializations. 3.Bachelor s degree in Computer Science, Physics, Mathematics, Statistics, Engineering, or similar. 4.Ability to grasp the operational concepts of flow settings for multiple FCs with different volume and demand patterns. 5.Able to manage a business that can operate 24/7 and commit the time required to get the job done. 6.Business analysis and partnership across Amazon with AFT, SME and INFC leaders to develop new operating opportunities. 7.Continuously monitor performance of FCs that are attributable to Central Flow and take corrective steps whenever required to optimize outbound productivity performance and Customer Experience. 8.Ability to deal with a high degree of ambiguity 9.You should be very analytical and be able to justify your decisions and approaches with data. 10.Need high degree of ownership and have backbone. 11.You should be able to deal with varied stakeholders and earn their trust. 12.Working knowledge of data mining using SQL, ETL, data warehouse as well as Excel. Preferred qualifications 1.You should be comfortable with processes and process design/analysis. 2.You should have the ability to influence without authority and do so by using data and facts. 3.You are mature and able to function independently with limited guidance 4.You should have excellent written communication skills data oriented & brevity being key words in your style of writing. 5.Proficiency in VBA Macro, Python and R is a plus. Bachelors degree or equivalent 2+ years of program or project management experience

Amazon.com s Buyer Risk Prevention (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. Amazon runs one of the most dynamic e-commerce marketplaces in the world, with nearly 2 million sellers worldwide selling hundreds of millions of items in ten countries. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com. BRP organization is looking for a Business Analyst for its In Region support team. The team is being grown to provide insights and support for BRP in our emerging marketplaces and provide analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors and bad debt, improve customer experience and predict & recommend the optimizations for future state of BRP buyer abuse in each country. As a Business Analyst, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of business intelligence, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidate should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Responsibilities: Use analytics and data mining techniques to solve complex problems and drive business decisions. Employ the appropriate tools, methodologies to discover patterns of risks, abuse and help reduce bad debt Design experiments, test hypotheses, and build actionable models to optimize BRP in a specific country Solve analytical problems, and effectively communicate methodologies and results Build analyses for product launches Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area 1+ years of tax, finance or a related analytical field experience Experience defining requirements and using data and metrics to draw business insights Experience with SQL or ETL 2+ years of experience in SQL and data visualization tools like power BI or tableau

Business Function The Data Chapter is a strategic partner to the business, leveraging cutting-edge AI and ML technologies to drive data-led initiatives that mitigate risk, generate revenue, and improve operational efficiency. We ensure data integrity and governance, providing high-quality analysis, insights, and automation to empower data-driven decision-making across DBS. Our collaborative approach ensures timely and actionable solutions that support the organizations strategic objectives Responsibilities Develop and implement advanced data science models and algorithms to drive business insights and decision-making Collaborate with cross-functional teams to identify and solve complex business problems using statistical analysis and machine learning techniques Conduct risk and business model analysis to assess the impact of data-driven initiatives on the organization Explore and experiment with emerging technologies, such as generative AI, to enhance data science capabilities and drive innovation Demonstrate strong problem-solving skills and the ability to work independently as well as part of a team Requirements 2-6 years of experience in data science, machine learning, or a related field Proficient in statistical analysis, data mining, and the application of advanced analytical techniques Hand on experience in Python coding and familiarity with cloud storage and computing is must, proficiency in excel is preferred Hands-on experience in developing and deploying data science models and algorithms, including those involving generative AI Excellent aptitude for problem-solving and critical thinking Strong communication and collaboration skills to work effectively with cross-functional teams Apply Now We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements. -en

Education - Bachelor Engineering degree Experience - 5 to 8 years of related experience (Automotive buying experience preferred) 1) Excellent research, data mining, analytical and problem-solving skills 2) Extremely good Presentation & Communication skills (written and verbal) 3) Attitude to work in a challenging environment & Attitude to improve is a must 4) Ability to understand cost drivers and achieve desired cost structures 5) Good Manufacturing Process knowledge of various commodities 6) Able to lead structured supplier meetings and drive desired outcomes 7) Be an excellent negotiator, drive creative solutions & self-starter. 8) Keep up commitments on time; Be Proactive and question logically 9) Willing to learn/teach and share experiences with team members Manufacturing Process knowledge, Negotiation, Project Management, and GPDS skills Able to work in different time zone and manage relationships with regional supply base / Cross-functional / JV team; Proficiency in below competencies Negotiations Excellent Commodity Knowledge - Excellent Strategy Development - Excellent Analytical Skills - Part Cost Estimating - Good Buying Systems, Policies and Processes - Excellent Analytical Skills - Balance Sheet and Ratios - Good Analytical Skills - Lean Manufacturing - Good Project Management - Excellent Knowledge Transfer - Excellent Education - Bachelor Engineering degree Experience - 5 to 8 years of related experience (Automotive buying experience preferred) The primary responsibilities of the Buyer are the execution of strategies to deliver program targets, TVM goals, Global Commodity Business Plans covering regional objectives and execution of supply base development strategies

Key Responsibilities: Data Management and Mapping: Prepare portfolio data with insurance and/or reinsurance terms. Manage data mappings between policy systems and modelling systems. Ensure data quality and integrity in the modelling system. Probabilistic Loss Estimation: Generate probabilistic loss estimates using AIR Touchstone. Analyze exposure and loss summaries to understand loss drivers. Model Evaluation and Event Response: Work on various model evaluation projects to assess model performance and accuracy. Participate in event response activities, including analyzing catastrophe events and their impact on portfolios. Process Improvement and Upskilling: Take initiatives to add value to the modelling process and improve the quality of loss estimation. Continuously upskill in advanced catastrophe modelling concepts and stay updated on new technologies in the field. Stakeholder Management: Manage relationships with internal and external stakeholders, ensuring effective communication and alignment of project goals. Handle ambiguity in complex scenarios and provide clarity in decision-making. Problem Solving and Multitasking: Tackle complex problems related to catastrophe modelling and loss estimation. Manage multiple tasks and projects efficiently in a dynamic environment. Skills & Qualifications: Technical Skills: AIR CEDE Database Schema: Intermediate to advanced knowledge in manipulating tables and automating tasks through the backend. Statistics: Intermediate to advanced knowledge in statistical techniques, simulation methodologies, AAL (Average Annual Loss), PML (Probable Maximum Loss), and TVAR (Tail Value at Risk) calculations using SQL. Insurance and Reinsurance Terms Coding: Intermediate to advanced understanding of insurance/reinsurance terminology and coding. Event Response: Intermediate to advanced knowledge and experience in responding to catastrophe events and their modeling. SQL: Intermediate to advanced, including dynamic stored procedures for database manipulation. Excel: Intermediate to advanced, including proficiency in VBA for automating tasks and analyses. Programming Skills: Proficiency in Python (preferred, but not required). GIS Tools (QGIS/ArcGIS): Intermediate to advanced knowledge of Geographic Information Systems for mapping and analyzing catastrophe data. Soft Skills: Stakeholder Management: Ability to manage relationships and communicate effectively with internal and external stakeholders. Problem Solving: Strong analytical skills to solve complex problems. Multitasking: Ability to manage multiple projects and deadlines in a fast-paced environment. Dealing with Ambiguity: Comfort in working in ambiguous situations and providing clarity. Education & Experience: Graduate/Post-Graduate degree in a Quantitative Discipline (Mathematics, Statistics, Economics, Engineering, or related fields). Experience in catastrophe modelling or insurance/reinsurance is a plus. Preferred Qualifications: Experience with AIR Touchstone software and catastrophe modelling. Familiarity with data automation, statistical simulation, and risk analysis. Experience working with large datasets and performing advanced analyses.

As a Research Analyst, youll collaborate with experts to develop cutting-edge ML solutions for business needs. Youll drive product pilots, demonstrating innovative thinking and customer focus. Youll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. Youll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. Collaborate with seasoned Applied Scientists and propose best in class ML solutions for business requirements Dive deep to drive product pilots, demonstrate think big and customer obsession LPs to steer the product roadmap Build scalable solutions in partnership with Applied Scientists by developing technical intuition to write high quality code and develop state of the art ML models utilizing most recent research breakthroughs in academia and industry Coordinate design efforts between Sciences and Software teams to deliver optimized solutions Ability to thrive in an ambiguous, uncertain and fast moving ML usecase developments. Familiar with ML models and work independent. About the team Retail Business Services Technology (RBS Tech) team develops the systems and science to accelerate Amazon s flywheel. The team drives three core themes: 1) Find and Fix all customer and selling partner experience (CX and SPX) defects using technology, 2) Generate comprehensive insights for brand growth opportunities, and 3) Completely automate Stores tasks. We work to solve problems related to entity extraction for Catalog completeness and consistency, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, image and text similarity and retrieval using NLP and Computer Vision. RBS Sciences team has grown to 11+ Applied Scientists and created multi-million dollar impact by developing foundational models for these business problems. Team has also contributed significantly in innovation space by publishing research papers (both internal Amazon and external conferences) and Patents over last 3 years. Basic Qualifications Bachelors degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics) 1+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Strong analytical thinking Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. Preferred Qualifications Masters degree with specialization in ML, NLP or Computer Vision preferred 1+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) Diverse experience will be favored eg. a mix of experience across different roles In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service Technical expertise, experience in Data science, ML and Statistics

Sustainext is looking for a Data Analyst with 3+ years of experience in the SaaS space, with strong communication skills, and a passion for ESG to join our growing team. The ideal candidate will have hands-on experience working with data management, building ETL pipelines, and creating insights that drive informed decision-making around sustainability. If you are passionate about sustainability, have a strong background in SaaS data analysis, and want to make a tangible impact on the future of ESG, we encourage you to apply! Position Title : Data Analyst Reporting To : Head Sustainability & Product Design Location : Bangalore Role & responsibilities 1. Data Integration & Management: Collect, organize, and analyze large sets of ESG data from various sources using ETL (Extract, Transform, Load) pipelines. Design, build, and maintain efficient ETL processes to ensure smooth and accurate data flow. Integrate data from various sources, including APIs and internal systems, to support sustainability reporting. 2. Data Visualization and Dashboard Development: Create insightful, clear visualizations using tools like PowerBI, Tableau, Apache Superset, Zoho Analytics, or similar to support internal and client-facing reports. Collaborate with stakeholders to gather requirements and ensure dashboards meet user needs. Implement best practices in data visualization to enhance the clarity and impact of reports. 3. Metrics and Data Analysis: Work closely with the ESG research, product development, and client-facing teams to understand their data needs. Conduct detailed data analysis to identify trends, patterns, and insights related to ESG performance. Provide actionable recommendations based on data analysis to support decision-making. Prepare and present analysis findings to internal teams and stakeholders. 4. Quality Assurance and Testing: Prepare comprehensive data reports for internal stakeholders and clients, ensuring accuracy, relevance, and clarity. Perform thorough testing and validation of dashboards and reports to ensure accuracy and functionality. Continuously improve data quality and reporting processes through regular reviews and updates. Proactively suggest improvements to existing processes, tools, and methodologies. Required Technical Skills and Competencies 1. Data Analysis and Statistics: Proficiency in statistical analysis methods such as descriptive statistics, hypothesis testing, and regression analysis. Experience using statistical software packages such as R, Python (pandas, NumPy), or SPSS. 2. Data Visualization: Proficiency in data visualization tools such as Tableau, Power BI, or matplotlib for creating insightful and interactive visualizations. Ability to design clear and effective visualizations that communicate complex data patterns and insights. 3 . SQL and Database Management: Strong SQL skills for querying and manipulating data from relational databases. Experience working with database management systems (e.g., MySQL, PostgreSQL, SQL Server). 4. Excel and Spreadsheet Analysis: Advanced proficiency in Microsoft Excel for data manipulation, analysis, and reporting. Ability to use Excel functions, pivot tables, and macros to automate repetitive tasks. 5. Domain Knowledge in ESG: Understanding of environmental sustainability, social responsibility, and corporate governance principles. Familiarity with ESG reporting frameworks, sustainability metrics, and industry-specific challenges. 6. Critical Thinking and Problem-Solving: Strong analytical and problem-solving skills, with the ability to identify trends, patterns, and outliers in data. Ability to think critically and draw actionable insights from complex datasets. Desired Candidate profile Bachelor's degree in any field. Minimum 3 years of experience in a Data Analyst role. Demonstrated experience working with SaaS platforms. Proficiency with data visualization tools such as PowerBI, Tableau, Apache Superset, Zoho Analytics, or similar. Strong experience building ETL pipelines and managing data workflows. Knowledge of SQL and experience working with large datasets. Experience with API integration and data automation. Experience working with cloud-based data platforms such as AWS, Google Cloud, or Azure. Experience with scripting languages like Python or R for data manipulation. Excellent communication skills to collaborate with non-technical stakeholders and effectively present ESG data insights. Strong problem-solving skills and the ability to turn complex data into actionable insights. High level of accuracy and attention to detail when dealing with large datasets and sustainability metrics. Genuine interest in ESG and sustainability trends, with a desire to contribute to a company focused on driving positive environmental and social impact.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: Position responsibilities and expectations Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. Ability to learn new scripting language or analytics platform. Technical Skills required (must have) HandsOn Exposure to Generative AI (Design, development of GenAI application in production) Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. Strong understanding of deploying and optimizing AI application in production. Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. Experience in advanced Text Analytics (NLP, NLU, NLG). Strong hands-on experience of end-to-end statistical model development and implementation Understanding of LLMOps, ML Ops for scalable ML development. Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) Experience in video/ image analytics (Computer Vision) Experience in IoT/ machine logs data analysis Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME Expertise in Cloud analytics platforms (Azure, AWS or Google) Experience in Process Mining with expertise in Celonis or other tools Proven capability in using Generative AI services like OpenAI, Google (Gemini) Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. Proven capability in building customized models from open-source distributions like Llama, Stable Diffusion Mandatory skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Preferred skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Years of experience required: 3-10 Years Education qualification: BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

-MySQL DBA, Database Design, Relational Database -B3 Role Purpose The purpose of this role is to provide significant technical expertise in architecture planning and design of the concerned tower (platform, database, middleware, backup etc) as well as managing its day-to-day operations Excellent knowledge of MySQL Database Administration Monitor databases for performance, bottlenecks, and other issues, identify and deploy solutions. strong knowledge of MySQL Installations, Upgradations, Replications. Basic knowledge of one of AWS, Azure cloud infrastructures Good Experience on Workbench tool. Experience in design and implementation of platform architectures to support business requirements. Create / refine database complex queries, indexes, stored procedures & data mining Perform appropriate backup and restoration of database servers like MySQL dump/Percona backups tools. Hands-on experience with managing various HA implementations like bin-log replication and clustering. General understanding of InnoDB & MyISAM architectures General understanding of the design and development of applications that access MySQL. Deep understanding of security & authentication models with MySQL Working knowledge of MySQL on Windows and Linux Experience with large-scale, complex distributed Linux / Unix applications. Strong understanding of RDBMS and SQL database concepts. Strong desire to continue learning and expand the knowledge on to other RDBMS and MySQL architectures and administrative procedures. Good to have knowledge of other DBMS such as MSSQL. Ability to effectively communicate with internal support personnel and Navisite customers. Experience in performance tuning and database monitoring tools(workbench). Excellent knowledge of MySQL Database Administration Monitor databases for performance, bottlenecks, and other issues, identify and deploy solutions. strong knowledge of MySQL Installations, Upgradations, Replications. Basic knowledge of one of AWS, Azure cloud infrastructures Good Experience on Workbench tool. Experience in design and implementation of platform architectures to support business requirements. Create / refine database complex queries, indexes, stored procedures & data mining Perform appropriate backup and restoration of database servers like MySQL dump/Percona backups tools. Hands-on experience with managing various HA implementations like bin-log replication and clustering. General understanding of InnoDB & MyISAM architectures General understanding of the design and development of applications that access MySQL. Deep understanding of security & authentication models with MySQL Working knowledge of MySQL on Windows and Linux Experience with large-scale, complex distributed Linux / Unix applications. Strong understanding of RDBMS and SQL database concepts. Strong desire to continue learning and expand the knowledge on to other RDBMS and MySQL architectures and administrative procedures. Good to have knowledge of other DBMS such as MSSQL. Ability to effectively communicate with internal support personnel and Navisite customers. Experience in performance tuning and database monitoring tools(workbench). Deliver NoPerformance ParameterMeasure1Operations of the towerSLA adherence Knowledge management CSAT/ Customer Experience Identification of risk issues and mitigation plans Knowledge management2New projectsTimely delivery Avoid unauthorised changes No formal escalations Mandatory Skills: MYSQL Database Admin. Experience5-8 Years.

Role Purpose The purpose of the role is to facilitate visual interpretation of data from multiple sources and use this information to develop data driven solutions as per the clients requirements. Do 1. Develop valuable insights from multiple data source as per client requirements a. Customer engagement and requirements gathering i. Understand customer needs and objectives, technology trends and requirements to define how data will be seen as final output ii. Develop wireframes, prototypes, use cases in order to demonstrate the final data output as is required by customer iii. Analyse, propose and implement the data technology and tools used for data visualization iv. Provide solutioning of RFPs received from clients and ensure the final data output is as per business needs v. Validate the solution/ prototype from technology, cost structure and customer differentiation point of view b. Design and Implementation of data visual aspects i. Architect and build data visualization capabilities to produce classical BI dashboards and solutions ii. Create the solutions by using a variety of data mining/data analysis methods, variety of data tools, data models and data semantics iii. Contribute to the design and implementation of the data platform architecture related to data visualization needs iv. Collaborate with other data architects to establish and run a data governance processes v. Manage metadata, semantic layer data on data domains and other enterprise data assets vi. Identify problem areas and perform root cause analysis of overall data flow and provide relevant solutions to the problem c. Enable Pre-Sales Team i. Support pre-sales team while presenting the entire data design and its principles to the client ii. Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create visual data output as proposed iii. Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor 2. Capability Building and Team Management a. Ensure completion of necessary trainings and certifications b. Develop and present a point of view of Wipro on data visualization concepts and architect by writing white papers, blogs etc. c. Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) d. Mentor developers, designers and Junior architects for their further career development and enhancement e. Anticipate new talent requirements as per the market/ industry trends or client requirements f. Hire adequate and right resources for the team g. Contribute to the data visualization practice by conducting selection interviews etc Deliver No Performance Parameter Measure 1. Project Delivery Quality of design/ architecture, delivery as per cost, quality and timeline. Mandatory Skills: Business Analyst/ Data Analyst(Maps). Experience8-10 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Deliver NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy Mandatory Skills: Power BI Visualization on cloud. Experience5-8 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Deliver NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy Mandatory Skills: Ipython. Experience5-8 Years.

Educational Qualification: BE in Computer Science/IT or BCA/MCA RESPONSIBILITIES: - Understanding automation possibilities in the organization - Build, deploy and monitor automations REQUIREMENTS: Must Have: - Good communication skills - Good problem solving skills - Expertise in RPA softwares (preferably UIPath, PowerAutomate) - Python programming skills - Excel VBA programming skills Good to Have: - Experience in working with International clients - Experience of working with different functions (eg. RD, Finance, HR etc.)

As the Assistant/Deputy Manager - Crop Protection, you will be responsible for: Ensuring Revenue achievement of the Crop Protection Subcategory (Insecticide / Herbicide /Fungicide). Analyzing studying customer requirements market trends. Working on the positioning of the current and future products for planning and implementing marketing activities. Analyzing Data and Present Market Trends Working closely with the sales and cross-functional teams to monitor and track product movement, category contribution and develop strategies to liquidate slow movers and distress inventory with regional sales teams and initiate actions. Building the Agrostar brand in the external market Qualifications we look for: B.Sc. Agri / MBA with Agri background preferred. Experience of 1-5 years working in a Product Management/ Marketing or Head Office Roles in the Agrochemical (CP) industry. A good understanding of the Crop Protection category (Herbicides, Fungicides, Insecticides etc). Hands on experience creating Presentations, and handling data on MS Excel. Strong Data Analytical capabilities and good presentation skills. Understanding of Product lifecycle. Strong market and technical knowledge. Exposure to market study, research, analysis, and segmentation. Effective and efficient communication skills. Desired personality traits of being a self-learner, collaborator, and extra miler. Ability to own and execute with a Hands-on attitude Most importantly, we are looking for passionate intrapreneurs who want to work at the grass root level, drive impact in Indias biggest sector Help Farmers Win

0px> Who are we Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our employees around the globe are here to accelerate service providers migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $5. 00 billion in fiscal 2024. For more information, visit www. amdocs. com In one sentence This is a hands-on position for a motivated and talented innovator. The Data Scientist performs data mining and develops algorithms that provide insight from data. What will your job look like Key responsibilities: Horizon Role : Data Scientist Horizon Job: Machine Learning Engineer Location : Pune have Hands on Experience of handling GenAI Use cases Developer should have expertise and experience on Developing Databricks Jobs for Ingestion of Data for Learnings. Create partnership with project stakeholders to provide technical assistance regarding important decisions. Extensive exposure of working with Various LLM s such as Lama, Gpt and pthers Developer will work on Development and implementation of Gen AI Use-cases in Live Production, as per requirement from Business /Users All you need is. . . Technical Skills: Mandatory Skills: Experience in Deep learning engineering (mostly on MLOps) Strong NLP/LLM experience and processing text using LLM Proficient in Pyspark/Databricks & Python programming. Building backend applications (data processing etc) using Python and Deep learning frame works. Deploying models and building APIS (FAST API , FLASK API) Need to have experience working with GPU S. Working knowledge of Vector databases like 1) Milvus 2) azure cognitive search 3) quadrant etc Experience in transformers and working with hugging face models like llama, Mixtral AI and embedding models etc. Good to have: Knowledge and experience in Kubernetes, docker etc Cloud Experience working with VM S and azure storage. Sound data engineering experience. Why you will love this job: You will ensure timely resolution or critical issue within the agreed SLA. This includes creating a positive customer support experience and build strong relationships through problem understanding, presenting promptly on progress, and handling customers with a professional demeanour. You will be able to demonstrates an understanding of key business drivers and ensures strategic directions are followed and the organization succeeds We are a dynamic, multi-cultural organization that constantly innovates and empowers our employees to grow. Our people our passionate, daring, and phenomenal teammates that stand by each other with a dedication to creating a diverse, inclusive workplace! We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave!

Job title: Business Analyst Responsibilities : Analytical Support : Gather all operational and financial data across all centers to provide inputs into the weekly MIS as well as a Monthly Review Meeting. Drive meaningful weekly / monthly reports that will help the regional Managers to take decisions on their centers health Analyse financial data (budgets, income statements, etc.) to understand Oasis Fertility's financial health. Coordinate all operational issues captured at center level and program manager the closure through cross functional collaboration Evaluate operational expenditures (OPEX) and capital expenditures (Capex) against the budget to identify variances. Analyse operational data to identify trends and areas for improvement. Conduct ad-hoc analytics towards a hypothesis and derive insights that will impact business performance Operational support : Coordinate assimilation of data for calculating doctor payouts and facilitate the final file to finance Coordinate and assimilate data to calculate incentives for the eligible operations team members. Use key metrics like yearly growth, return on assets (ROA), return on equity (ROE), and earnings per share (EPS) to assess operational performance. Collaborate with the operations and finance teams to ensure alignment between operational and financial goals. Strategic Support : Conduct business studies to understand past, present, and potential future performance. Conduct market research to stay updated on financial trends in the fertility industry. Evaluate the effectiveness of current processes and recommend changes for better efficiency. Develop data-driven recommendations to improve operational efficiency. Prepare financial models to assess the profitability of different business units and potential investment opportunities. Participate in process improvement initiatives and policy development to optimize business functions.