3878 R Jobs - Page 3

As a Lead Vice President - Data and Analytics at HSBC International Wealth & Premier Banking, you will play a crucial role in driving marketing effectiveness strategies and analytics to enhance business performance. Your expertise in marketing analytics tools and techniques will be instrumental in identifying trends, areas of improvement, and opportunities to improve marketing performance and Return on Marketing Investment (ROMI). You will collaborate with marketing teams to define shared Objectives and Key Results (OKRs) and develop roadmaps to deliver agreed OKRs. By leveraging your subject matter expertise, you will lead the implementation of marketing effectiveness analytics, supporting stakeholder teams in identifying insights, creating hypotheses, and making recommendations to enhance marketing performance. In this role, you will be responsible for creating performance marketing effectiveness dashboards, guiding markets to improve campaign measurement, and driving in-depth analysis to identify trends and opportunities for the business. Your proficiency in AI/ML concepts and tools will enable you to improve marketing effectiveness through advanced analytics techniques. As a leader in the Data and Analytics community, you will build relationships with stakeholders, promote a culture of innovation, and ensure outstanding customer service. Your strong communication skills and collaborative approach will be essential in working with teams across regions and functions to drive marketing effectiveness and analytics expertise. To excel in this role, you should possess specialized expertise in marketing effectiveness, proven track record in delivering analytics insights in global organizations, and proficiency in marketing effectiveness tools such as Market Mix Modelling and campaign measurement approaches. Your analytical, numerical, and presentation skills, along with expertise in analytics tools like R/Python/SAS and data visualization tools, will be key assets in driving data-driven decision-making. Additionally, your role will involve collaborating with global, regional, and local marketing teams, promoting data-driven culture, and ensuring compliance with data governance standards. By continuously reviewing risks, driving process improvements, and aligning with data security protocols, you will contribute to the success of marketing effectiveness initiatives and support the broader goals of HSBC International Wealth & Premier Banking. Join HSBC and be part of a diverse and inclusive environment that values continuous professional development, flexible working arrangements, and opportunities for growth. Your contributions will help HSBC maintain its commitment to delivering exceptional customer experiences and achieving business objectives in the dynamic landscape of banking and financial services.,

Resolute is a forward-thinking investment firm committed to strategic diversification and sustainable growth across high-impact sectors. Our diversified portfolio includes Hair Drama Company, Sanghi Industries Limited, ShareSquare, and Resolute Sports. We nurture ventures that redefine industry benchmarks and create long-lasting value. We are now seeking a visionary Analytics Head who can lead our data initiatives, drive strategic insights, and help translate complex data into powerful business decisions. Define and lead the end-to-end data strategy, encompassing data acquisition, integration, processing, and visualization to deliver scalable analytics solutions across the organization. Identify trends and key business opportunities through deep analysis of large and complex datasets, including internal sources, third-party data, research publications, and digital channels such as social media. Partner with executive leadership and key business stakeholders to translate strategic goals into analytical frameworks, KPIs, and data-driven solutions that drive decision-making. Establish robust data protocols, models, and pipelines ensuring high data quality, consistency, and governance across the enterprise. Build, implement, and maintain leading-edge analytics frameworks for descriptive, predictive, and prescriptive insights using tools like Python, R, SQL, and cloud-based platforms (AWS, GCP, Azure). Drive innovation in analytics, including the application of machine learning, AI, and automation to solve business challenges and create competitive advantage. Enable cross-functional teams with the tools, platforms, and reports necessary to analyze and act on data effectively. Develop dashboards and interactive reports aligned with industry standards. Design and maintain critical metrics and KPIs dashboards to track business performance, operational efficiency, and strategic alignment. Proven 7+ years of experience in analytics, data science, or business intelligence, including at least 2 years in a leadership role. Strong proficiency in SQL, Python, R, and modern data visualization tools (Tableau, Power BI, Looker, etc.). Expertise in data modelling, cloud data platforms (MS Azure, AWS Redshift, BigQuery, Snowflake), and ETL tools. Hands-on experience with machine learning models, statistical techniques, and AI-driven solutions. Strong understanding of data governance, security, and compliance standards. Excellent problem-solving and communication skills with the ability to convey complex data insights to non-technical stakeholders. Bachelors or Masters degree in Data Science, Statistics, Computer Science, or a related field. Preferred Qualifications: Prior experience in an investment firm, financial services, or high-growth startup environment. Familiarity with business operations across finance, product, and marketing. Experience with open-source data science libraries and deployment of ML models into production. Strong project management capabilities and familiarity with Agile methodologies.,

You are being hired for a global investment bank with 2-16 years of experience. Based in Mumbai, the Portfolio Analytics/Monitoring team is looking for a motivated candidate to utilize their skills in performance and risk attribution for fund portfolios, using proprietary analytical tools. Your role will involve demonstrating strong business acumen, process management, and interpersonal skills to ensure timely and effective client deliverables. Your key responsibilities will include managing daily team functions to ensure prompt client deliverables, preparing customized client reports with risk and performance calculations, contributing to automation efforts using VBA or IT solutions for tailored client solutions, engaging stakeholders to streamline processes and improve operational efficiency, actively participating in the development of new analytical tools, providing process training for new team members, and establishing robust business continuity backups. Desired skills and qualifications for this role include a BE/BTech + MBA (Finance) with 2+ years in financial services, hedge fund experience and CFA/FRM certification are advantageous. Proven experience in coding languages such as Excel-VBA or R is necessary. A solid understanding of equities, fixed income, and derivatives is essential, along with exceptional analytical and problem-solving abilities. You should be self-driven with strong verbal and written communication skills, able to take ownership and independently drive assigned tasks.,

As a Developer - Business Intelligence at Wesco, you will be reporting to the Business Intelligence Manager, who oversees tools and technology supporting the company's profitability initiative. Your primary responsibilities will include creating Power BI reporting and design, PowerApps applications, SQL table design, automation tooling, and potentially machine learning models. You will be tasked with developing and maintaining new Power BI reporting, building and maintaining PowerApps for the business, working with SQL databases to create new tables and views, and querying existing data. Additionally, you will participate in User Acceptance Testing for new enhancements, provide technical support for existing and new toolsets to the Profitability team, collaborate with Business Units to develop enhancements, and work with IT to automate and enhance processes for the new consolidated organization. It will also be your responsibility to maintain process documentation and technical specifications based on changing IT landscape and business requirements. To qualify for this role, you should have an Associates Degree (U.S.)/College Diploma (Canada) as a minimum requirement, with a preference for a Bachelor's Degree in Computer Science, Software Engineering, or a related discipline. Additionally, being Power BI or Tableau certified is preferred. You should have 2-4 years of experience in BI development or coding with SQL, a background in programming (SQL, Python, DAX, R, or M), experience with Power BI or other visualization software, and intermediate/expert knowledge of Access and Excel, including Pivot tables, VLOOKUPs, complex logic statements, VBA knowledge, and complex queries/macros. Strong analytical and problem-solving skills, decision-making abilities, oral and written communication skills, and interpersonal skills are essential. Knowledge of star schema data modeling, experience with Microsoft PowerApps and/or Power Automate, familiarity with SSRS and Report Builder, and an interest in AI/ML development or knowledge of Azure Cognitive are also desirable qualifications. At Wesco, we are dedicated to building, connecting, powering, and protecting the world. As a FORTUNE 500 company and a leading provider of business-to-business distribution, logistics services, and supply chain solutions, we strive to create a workplace where every individual is respected, valued, and empowered to succeed. Our culture is rooted in teamwork and respect, and we believe in embracing the unique perspectives that each team member brings. With a global workforce of over 20,000 people, we offer comprehensive benefits and engage actively with the community to create an environment where every team member can thrive. If you are a qualified candidate located in Los Angeles Unincorporated County with arrest or conviction records, you will be considered for employment in compliance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act. To learn more about working at Wesco and apply online, please visit our website. Founded in 1922 and headquartered in Pittsburgh, Wesco is a publicly traded company listed on the NYSE under the ticker symbol WCC.,

You will be part of Maruti Suzuki's Analytics Centre of Excellence (ACE) CoE team as a Data Scientist. Your responsibilities will include designing and implementing workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python. You should have demonstrable competency in Probability and Statistics, with the ability to use ideas of Data Distributions, Hypothesis Testing, and other Statistical Tests. Experience in handling outliers, denoising data, and managing the impact of pandemic-like situations will be crucial. Additionally, you will be expected to perform Exploratory Data Analysis (EDA) of raw data, conduct feature engineering where applicable, and showcase competency in Data Visualization using the Python/R Data Science Stack. Leveraging cloud platforms for training and deploying large-scale solutions, as well as training and evaluating ML models using various machine learning and deep learning algorithms, will be part of your role. You will also need to retrain and maintain model accuracy in deployment and package & deploy large-scale models on on-premise systems using multiple approaches including docker. Taking complete ownership of the assigned project, working in Agile environments, and being well-versed with project tracking tools like JIRA or equivalent will be expected. Your competencies should include knowledge of cloud platforms (AWS, Azure, and GCP), exposure to NoSQL databases (MongoDB, Cassandra, Cosmos DB, HBase), and forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts), experience with large datasets and distributed computing (Hive/Hadoop/Spark), and transfer learning using state-of-the-art models in different spaces such as vision, NLP, and speech will be beneficial. Integration with external services and Cloud API, as well as working with data annotation approaches and tools for text, images, and videos, will also be part of your responsibilities. The ideal candidate should have a minimum of 2 years and a maximum of 8 years of work experience, along with a Bachelor of Technology (B.Tech) or equivalent educational qualification.,

As an Optimization Specialist, you will be responsible for building and scaling mathematical models and process optimization. Your role will involve designing and implementing optimization models such as LP, MIP, and MILP for real-world scheduling, routing, and planning scenarios. Additionally, you will be expected to construct simulation models to evaluate performance under uncertainty, collaborate with cross-functional teams to refine problem definitions, and translate them into quantitative models. You will work closely with data scientists, software engineers, and business analysts to drive predictive optimization workflows using AI/ML algorithms for forecasting, clustering, and classification. Conducting what-if analyses and sensitivity testing to support decision-making will be a crucial part of your responsibilities. Furthermore, you will support research and pilot initiatives involving Quantum-Inspired Optimization (QUBO, hybrid models) and present findings and model performance to stakeholders through clear and concise visualizations and documentation. To excel in this role, you must possess a strong knowledge of Linear Programming (LP), Mixed Integer Programming (MIP/MILP), Constraint Programming, and have experience formulating and solving large-scale combinatorial problems. Hands-on experience with Optimization libraries like Pyomo, PuLP, and solvers such as CPLEX, Gurobi, GLPK, or CBC will be beneficial. Proficiency in programming languages like Python, R, or MATLAB is essential, along with simulation expertise in tools like SimPy, AnyLogic, Arena, or equivalent for discrete-event or agent-based simulation. Your educational background should include a PhD in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related field. Additionally, applied machine learning knowledge including forecasting models, clustering, and model evaluation metrics (e.g., MAPE, RMSE) will be advantageous. Strong communication and documentation skills are necessary to effectively present models and insights to non-technical audiences.,

You will join Salesforce, a company that aims to inspire the future of business through the integration of AI, data, and CRM. Upholding core values, Salesforce empowers companies across various industries to innovate and engage with customers in unique ways. As a member of the team, you will have the opportunity to become a Trailblazer, enhancing your performance, advancing your career, and contributing to positive change in the world. As an experienced Data Scientist, your primary responsibility will be to develop marketing attribution, causal inference, and uplift models to enhance the efficiency and effectiveness of marketing initiatives. This role will involve designing experiments and ensuring a consistent approach to experimentation and campaign measurement across marketing, customer engagement, and digital use cases. The ideal candidate will possess extensive experience in creating statistical models and AI/ML algorithms for marketing and digital optimization on large-scale datasets within a cloud environment. Rigorous testing and evaluation of algorithm performance will be essential, both during development and in production. Moreover, a deep understanding of statistical and machine learning techniques is necessary, along with a commitment to the ethical use of data in algorithm design. Key Responsibilities: - Develop statistical and machine learning models to enhance marketing effectiveness, including attribution models, causal inference models, and uplift models. - Create optimization and simulation algorithms to optimize marketing spend across channels and improve ROI. - Lead the entire model development lifecycle from ideation to deployment, monitoring, and tuning. - Design experiments to support marketing, customer experience, and digital campaigns, and collaborate with peers to establish consistent experimentation and measurement approaches. - Cultivate strong cross-functional relationships and collaborate with key partners throughout the organization. - Stay updated on innovations in enterprise SaaS, AdTech, paid media, data science, customer data, and analytics fields. Required Skills: - 8+ years of experience in designing models for marketing optimization using statistical and machine learning techniques. - Proficiency in developing advanced statistical techniques for experiment design and causal inference methods. - Expertise in programming languages such as Python, R, PySpark, Java, and SQL. - Experience with cloud platforms like GCP and AWS for model development and deployment is preferred. - Strong quantitative reasoning skills and the ability to provide data-driven business insights. - Excellent written and verbal communication skills with a collaborative mindset. - Ability to simplify complex problems and a creative approach to finding solutions. - B2B customer data experience and knowledge of Salesforce products are advantageous.,

As a Model Validation/Audit/Review Specialist at KGS, your primary responsibility will be to conduct validation, audit, and review of credit loss forecasting models within the retail or wholesale domain, specifically focusing on IFRS9/IRB models and their PD/EAD/LGD components. In this role, you will need to understand relevant regulatory requirements, review development documentation, perform testing and benchmarking, create challenger models using SAS, R, or Python, and prepare comprehensive reports. Your duties will also include providing support for other model validation activities related to Underwriting scorecards, Credit Scoring, behavioral models, economic scenario models, and validation-related automation tasks as required. You will be responsible for assessing the conceptual soundness of models, critically evaluating testing conducted by developers, ensuring model integrity and accuracy, evaluating predictive power and robustness, and ensuring compliance with regulatory standards. Collaboration with seniors, AMs, and Managers will be essential to meet key project deliverables. You will be expected to take ownership of key deliverables, engage with Partners/Directors to understand project scope and business requirements, and coordinate with onshore and offshore teams for successful project delivery. Additionally, you will provide advice to non-audit clients on the implications of evolving provision accounting standards (IFRS9) and help them validate or develop credit risk measurement models. Qualifications for this role at KGS include an advanced degree in Mathematics, Statistics, Economics, or other analytical disciplines. Alternatively, a graduate degree along with an MBA in Finance and relevant experience or exposure will be considered. Additional certifications such as FRM or CFA are preferred. Ideal candidates should have 2-12 years of experience in Risk Management/Analytics at major banks, top-tier consulting firms like Big 4, or captives of well-known banks. Proficiency in programming languages such as Python, SAS, and R is required. Advanced skills in statistical and quantitative modeling, including various techniques like linear regression, logistic regression, ARIMA, Markov Chain, Merton Model, CHAID, and other predictive modeling methods, are essential. In-depth knowledge of regulatory requirements related to model risk management, such as SR11-7, SR15-18, PRA, and EBA guidelines, is also expected.,

You are invited to join our team as a GIS Executive, where you will be responsible for managing all GIS activities within the organization. Your role will involve analyzing spatial data, creating visualizations, and supporting decision-making processes across departments. As a GIS Executive, you should have a strong background in GIS technology, data management, and spatial analysis, coupled with excellent organizational and communication skills. Your responsibilities will include developing and maintaining GIS databases, managing spatial data acquisition and integration, conducting spatial analysis and modeling, collaborating with cross-functional teams, utilizing GIS software for geospatial analysis, designing GIS projects, maintaining GIS standards, training staff on GIS applications, staying updated on GIS technology trends, and collaborating with external parties for GIS projects. To qualify for this position, you should hold a Bachelor's or Master's degree in Geography, Geoinformatics, GIS, or a related field, with at least 3 years of proven experience in GIS technology. Proficiency in GIS software tools like ArcGIS and QGIS, knowledge of cartographic principles, experience in database management, strong analytical skills, problem-solving abilities, and effective communication skills are essential. Familiarity with programming languages like Python or R is a plus. We offer a competitive salary package, a stimulating work environment that fosters professional growth and innovation, along with benefits such as health insurance and provident fund. If you are passionate about GIS technology and meet the requirements for this role, we encourage you to apply for the GIS Executive position and be part of a team that makes informed decisions through spatial analysis and visualization. Education: Master's degree preferred Job Types: Full-time, Permanent Benefits: Health insurance, Provident Fund Work Location: In person,

About Company Welcome to Policybazaars official LinkedIn page. We believe in insurance for all, and we drive it through unbiased information and time-efficient processes for all Indian customers. As India&aposs largest insurance brokers, we consider it our responsibility to be every Indian customer&aposs one-stop portal for protection against death, disease and disability -- as well as for mindful investment planning. We understand customers' anxiety about claim settlement, so we offer 24x7 online support, on-ground support, as well and even host special claim samadhan events where stuck claims can be reopened and resolved instantly. Our mission, in keeping with IRDAI&aposs inspiring vision, is Har Family Hogi Insured by 204 7 . Group Companies Paisabazaar.com, QuickFixCars, Policybazaar.ae, Zp hin Visit policybazaar.com to know more about u s. Job Descripti on: We&aposre looking for a highly analytical and data-orien ted Product Ana lyst with 1.5-2 years of experience to join our team. This is a high-impact role where you&aposll empower our Product Manager with deep insights, driving the development of effective features and ensuring we hit our targ ets. What You&aposl l Do:Derive & Showcase Insi ghts: Proactively analyze complex data to uncover product performance trends, user behaviors, and areas for optimization. You&aposll build the required data pipelines and dashboards with accurate insi ghts.Guide Product Stra tegy: Provide Product Managers with clear, actionable insights into feature impact, user engagement, and overall product health, fueling continuous improve ment.Understand Operat ions: Collaborate with our operations to grasp execution nuances and identify where data can drive effici ency.Measure & Mon itor: Define key metrics, set up tracking, and continuously monitor product performance against g oals. What You&aposll Bring:1.5-2+ years in a Product Analyst or similar data-focused role with a track record of actionable ins ights.Strong Data S kills: Advanced proficiency with data manipulation (SQL, Python/R) and visualization tools (Tableau, Power BI, Looker, Quicks ight).Analytical Mi ndset: Excellent statistical understanding for A/B testing and data mod eling.Proactive & Cu rious: A self-starter with a strong drive to identify opportunities through data.Clear Communi cator: Ability to present complex data findings clearly to all audi ences.High Owne rship: Accountable and responsible for delivering high-quality ins ights.Passion for Data: A genuine love for transforming data into impactful business out comes. Show more Show less

About the Role: We are seeking an A.I. Developer responsible for reviewing and maintaining internal legal and data teams by designing and improving automation tools and artificial intelligence solutions to streamline workflows. This role focuses on identifying repetitive, manual processes and replacing them with efficient, user-friendly systems, with an emphasis on accuracy, compliance, and usability. The developer will collaborate closely with teams in both the U.S. and India, while actively contributing to innovation and ongoing technical support across the firm. Job Responsibilities: Identify opportunities to apply artificial intelligence and automation to improve legal and data workflows across the firm. Collaborate with analysts, paralegals, and operations staff to understand time-intensive tasks and recommend AI-driven solutions. Maintain, refine, and expand existing AI tools, starting with automating the custodian confirmation process. Support the Data Analyst (Custodian Confirmations) by enhancing tools and systems for better data accuracy and process efficiency. Work with both U.S. and India-based teams to assess technology needs and build intuitive, secure tools and interfaces. Participate in special projects by providing technical insight and developing custom solutions where needed. Document all development work, maintain version control, and deliver basic user training or tool demonstrations. Stay current on emerging A.I. and automation trends relevant to the legal, financial, and data analysis industries. Ensure that all tools comply with firm policies and integrate smoothly with systems like Excel, NetDocuments, and GPS. Assist with database development and management, including the creation, updating, and optimization of internal databases. Education and Experience: A bachelors degree in a relevant field like Computer Science, Software Engineering, Data Science, Mathematics, Statistics, or Physics. 3 years of experience as a developer. Proficient in Python, Java/R/C++; ML/DL frameworks (PyTorch, TensorFlow); math/statistics machine learning libraries (e.g. Scikit-learn, TensorFlow), database management (SQL), automation tools (e.g., UiPath, Power Automate), and integration with systems like Excel, NetDocuments, or SharePoint. Strong understanding of how to design and deploy AI tools that reduce manual tasks, improve data accuracy, and support business users. Demonstrated ability to understand user needs, analyze workflows, and propose innovative yet practical technical solutions. Can clearly explain complex technical concepts to non-technical stakeholders. Capable of writing documentation and conducting demos or basic training. Aware of data privacy, compliance requirements, and version control. Build tools that are reliable, secure, and easy to maintain. Works well with global teams, particularly in supporting U.S.-based companies. Eager to stay current on AI trends relevant to legal and financial industries, and capable of expanding their role as new needs arise. Skills and Abilities: Experience with Data Systems, including Excel (advanced functions/macros), MS Access, and database design/management. Ability to contribute both independently and as part of a team Ability to meet deadlines in high-pressure situations Ability to QA and troubleshoot data Ability to prioritize tasks and projects based on departmental needs Highly self-motivated, self-starter with a critical thinking mindset Excellent interpersonal, verbal, attention to detail, and written communication skills Dependable, detailed-oriented, great attitude and team player Show more Show less

Are you seeking a thrilling opportunity to become a part of a vibrant and expanding team in a fast-paced and challenging domain As an Analytics Solutions Manager specializing in Applied AI/ML and holding the title of Vice President within the Asset & Wealth Management (AWM) Risk Management team, your primary responsibility will be to conceptualize, create, and deploy advanced AI/ML solutions that cater to a variety of business requirements. Your focus will be on ensuring scalability and optimal performance. As a Generative AI/ML Specialist operating within the AWM Risk Management sector, you will play a critical role as a key member of an agile team dedicated to crafting and implementing cutting-edge generative AI and machine learning solutions. Your duties will revolve around offering strategic guidance in crafting and executing innovative generative AI/ML models and algorithms that drive business transformation and enhance decision-making processes. Your task will involve designing adaptable and scalable solutions that retain robustness at their core while being flexible enough to adapt to evolving business demands. Serving as a pivotal technical and strategic contributor, you will collaborate across various business functions to embed AI/ML capabilities that resonate with the firm's objectives. Furthermore, you will engage closely with leadership to provide insightful leadership, formulate strategic roadmaps, and assess emerging AI/ML technologies, necessitating a blend of technical acumen and strategic foresight. **Job Responsibilities:** - Design, develop, and implement advanced AI/ML solutions to address diverse business needs, ensuring scalability and performance. Enhance state-of-the-art Gen-AI models to support use cases like Document Q&A, Information Retrieval/Summarization, and Search. - Collaborate closely with leadership to establish the technical vision and execute strategic roadmaps, translating business requirements into actionable AI/ML specifications. - Lead AI/ML projects throughout the ML development lifecycle. Utilize agile methodology, define crucial milestones, and guarantee timely delivery. - Stay abreast of data science and machine learning advancements by collaborating with the internal AI/ML community to introduce innovative solutions to the AWM Risk organization. - Mentor junior data scientists and analysts, and devise training initiatives to boost AI/ML awareness and adoption within the team. - Develop and manage efficient data pipelines and workflows, ensuring data quality and integrity through meticulous cleaning, preprocessing, and validation. - Conduct exploratory data analysis to unveil trends and insights, perform statistical analysis and hypothesis testing to support data-driven decision-making. - Present findings through clear and impactful visualizations and reports, facilitating informed decision-making across the organization. **Required Qualifications, Skills and Capabilities:** - Bachelor's degree or higher in a quantitative field like Computer Science, Data Science, or Machine Learning, accompanied by 7+ years of experience. - Proficiency in programming languages such as Python or R, along with expertise in SQL and relational databases. - In-depth knowledge of machine learning, artificial intelligence, and statistical analysis and modeling techniques. - Strong problem-solving abilities, keen attention to detail, and the capacity to work autonomously and as part of a team. - Excellent communication and collaboration skills, inspiring and leading teams comprising both technical and non-technical members. **Preferred Qualifications, Skills and Capabilities:** - Proficiency with large language models (LLMs), prompt engineering techniques, and generative AI. - Sound background in natural language processing (NLP), deep learning methods, and experience in implementing ML solutions for insights, pattern detection, and forecasting. - Experience with Graph Databases, Large Graph Models (LGM), and GraphRAG applications.,

Description Description Position Summary: Managers combine best-in-class analytic skills with strong problem-solving and communication abilities to help clients solve strategic and tactical business problems. Managers are skilled at all aspects of project execution with the ability to prepare client-ready materials with limited oversight / guidance from project managers. They are expected to independently manage specific tasks / workstreams within projects and mentor junior team members. Managers may work on multiple projects simultaneously and lead a small team in each one of them. Position Responsibilities: Ensures development of a successful project / workstream plan after high level direction from the senior project lead with a clear understanding of project objectives Takes ownership of methodology instrument design for market research projects to address key objectives based on high level guidance provided by senior project team member Translates understanding of brand strategy and client needs & beliefs into likely hypotheses, and ensures analytical approach is effective in testing hypotheses to find most relevant insights Anticipates potential challenges in analysis and proactively works with team to figure out a mitigation strategy Demonstrates creative flexibility and innovation to modify design approach as necessary with more abstract client feedback or changing business project objectives Is able to use the prior experience to apply advanced statistical knowledge (CHAID, Choice modeling, Clustering, kNN, Regression etc.) to solve a business problem Ensures that team members are able to execute the analysis with right analytical approach and proper quality check guidelines Proactively creates good processes and automation set ups to increase the efficiency and quality of the deliverables Responsible for quality of entire team and all materials; double-checks all project materials and analysis provided from other team members Maintains focus on strategic implications of analytical insights, and effectively guides junior team member(s) to achieve necessary depth and breadth of insights Ensure client needs and preferences are incorporated into slide development; customizes report to audience and format of presentation when developing deliverables Guides development of new slide frameworks and visual templates that can present key data / insights powerfully Sends timely and thoughtful responses to client/leadership requests, questions, and needs Presents project findings & recommendations to clients in a compelling and engaging way (when appropriate based on client presentation preferences) Responsible for professional development, engagement and coaching of junior team members Teaches best practices to junior team members for structured written and verbal communication Demonstrates a desire and willingness to learn, and learns for all interactions and team members on a project/team Adapts working style as needed, developing strong collaboration and trust across team members Demonstrates good judgement across all interactions, and a respect for all team members internally and externally Qualifications Education: A bachelor or masters degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Economics, Management Science, Data Science, Statistics, or Engineering will be preferred Manager - Minimum 5 years of experience in Market Research and marketing consulting work. Knowledge of US healthcare market will be a plus Experience in execution of advanced analytical methods CHAID, Hypothesis Testing, A/B testing, CART, Regression, Clustering, Factor Analysis, MNL, Choice Modeling, kNN, K-means, Predictive analysis, Generalized Linear Models etc. Knowledge of tools/programming platforms Sawtooth, R, SAS, SPSS, Advanced Excel, Advanced Powerpoint Experience in writing surveys and discussion guides with knowledge of biases and ways to make instruments easier for respondents Evidence of leading and managing teams/projects Evidence of strong oral and written communication Evidence of working in a fast-paced versatile environment Comfort and flexibility with ambiguity Strong attention to detail with a quality focused mindset Evidence for high motivation and good professional attitude/work ethics Show more Show less

Northern Trust, a Fortune 500 company with a legacy dating back to 1889, is a renowned financial institution offering innovative financial services to a diverse clientele worldwide. With a team of over 22,000 partners and a commitment to service, expertise, and integrity, Northern Trust has established itself as a leader in the financial industry. As a professional contributing to the success of Northern Trust, you will utilize your expertise and knowledge to drive projects and initiatives within your domain. Your role will involve providing analytical support to enhance data quality and performance calculation processes within the organization. Collaborating with various stakeholders, including data stewards, consultants, and technology partners, you will play a key role in maintaining data standards and governance structures. Key responsibilities include assisting in post-implementation testing, facilitating index migrations, and engaging with internal and external partners to address automation needs. Your role will also involve analyzing complex data, communicating effectively with stakeholders, and ensuring data accuracy through meticulous reporting. To excel in this role, you should possess a strong understanding of financial operations, portfolio management, and project management. Proficiency in data analysis tools such as SQL, Microsoft Excel, and Data Visualization, along with technical skills in systems like Snowflake and Azure, will be essential. Additionally, a background in investment analysis and knowledge of market indices will be advantageous. At Northern Trust, we foster a culture of collaboration, flexibility, and continuous learning. As a valued partner, you will have the opportunity to grow within the organization, interact with senior leaders, and contribute to our commitment to supporting the communities we serve. If you are a driven professional seeking a rewarding career with a socially responsible company, we invite you to explore the possibilities with Northern Trust. Apply today and let's work together towards greater achievements. #MadeForGreater Northern Trust is dedicated to providing reasonable accommodations to individuals with disabilities throughout the employment process. If you require assistance, please contact our HR Service Center at MyHRHelp@ntrs.com. We embrace diversity and understand that flexibility is essential for a productive workplace. Share your flexible working requirements with us, and let's create a path to success together.,

Internship Opportunity: Data Analytics Intern Company : Ignitern Location : Remote Duration : 36 Months Stipend : Unpaid (Internship Certificate Provided) About Us Ignitern is an innovation-led IT and consulting firm dedicated to shaping the next generation of data professionals. We offer early-stage talent the opportunity to work on impactful, real-world projects that connect data with decision-making. About the Internship We are looking for motivated and detail-oriented individuals who are excited to learn, analyze, and extract insights from data. This internship is a great opportunity to sharpen your skills in data analytics and business intelligence while working in a collaborative, project-based environment. Key Responsibilities Collect, clean, and organize datasets from multiple sources Analyze trends and generate actionable insights Build dashboards and reports using Excel, Power BI, or Tableau Write queries using SQL or manipulate data using Python/R Collaborate with internal teams to support ongoing data initiatives Assist in tracking performance metrics and business KPIs Preferred Skills Basic knowledge of Excel, SQL, or Python Understanding of data visualization techniques Familiarity with Power BI or Tableau is a plus Strong analytical mindset with attention to detail Good communication and teamwork skills Eagerness to learn and grow What Youll Gain Real-world exposure to data analytics and BI tools Mentorship from experienced professionals Hands-on learning with live business data Internship completion certificate Stronger portfolio and enhanced career readiness Eligibility Open to students and recent graduates from any academic background Preferred fields include data science, statistics, computer science, or business analytics Must be available for a minimum of 3 months How to Apply Send your resume and any relevant portfolio links to [HIDDEN TEXT] Use the subject line: Application for Data Analytics Intern [Your Name] Shortlisted candidates will be contacted for a brief screening process. Ready to turn data into decisions Start your journey with Ignitern. ? #Ignitern #DataAnalyticsInternship #RemoteInternship #BusinessIntelligence #AnalyticsCareers #InternshipOpportunity #SQL #Excel #PowerBI #Python Show more Show less

Job Title: Head of Options Trading Location: Gurgaon, India Company: Univest Salary: No bar for the right candidate Experience Required: 7+ years in Options Trading Role Overview We are seeking an exceptional Head of Options Trading to lead our options trading desk, provide high-accuracy daily trading calls, and build scalable trading systems. This is a Gurgaon-based leadership role ideal for a seasoned trader with a proven track record in options strategy, risk management, and team leadership. Key Responsibilities Lead the Options Trading Desk: Take full ownership of options trading strategies, execution, and team operations. Generate High-Accuracy Calls: Deliver daily options market calls with an accuracy rate of 80%+ , maintaining a strong risk-reward ratio. Market Research & Analysis: Conduct and share real-time market research, technical and derivative analysis to guide users and internal teams. Team Management: Lead, mentor, and scale a team of traders and analysts; establish a performance-driven culture. System Development: Work closely with product and tech teams to design robust trading and risk management systems, dashboards, and automation tools. Compliance & Risk Oversight: Ensure all trades comply with regulatory requirements and internal risk controls. User Engagement: Actively contribute to user-facing content, webinars, and market outlooks to enhance brand credibility. Ideal Candidate Profile Experience: 7+ years of hands-on experience in options trading (index and/or stock derivatives). Proven Track Record: Demonstrated history of delivering profitable and consistent trading performance. Strong Analytical Mindset: Proficient in technical analysis, derivative strategies, and data-driven decision-making. Leadership Skills: Experience leading a high-performance trading or research team. Communication: Excellent verbal and written communication skills for sharing calls, views, and reports with the community. Technology Friendly: Comfort working with tools like TradingView, Excel, Python/R (optional), and backtesting platforms. Certifications (Preferred): NISM Series VIII (Equity Derivatives) or relevant industry certifications. Show more Show less

Line of Service Advisory Industry/Sector FS X-Sector Specialism Risk Management Level Associate Job Description & Summary At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure systems, and provide proactive solutions to safeguard sensitive data. Those in penetration testing at PwC will focus on penetration testing (or pen testing) which is a security exercise where a cybersecurity consultant attempts to find and exploit vulnerabilities in a computer system. The purpose of this simulated attack is to identify any weak spots in a system&aposs defences which attackers could take advantage of. 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 firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations Job Description & Summary: Bachelor&aposs or Master&aposs degree in finance, economics, mathematics, or a related field 6+ years of relevant experience in credit risk management, with knowledge of PD/LGD/EAD, CCAR loss estimation & PPNR, PRA stress testing, Scenario analysis, IRB, IFRS 9, CCEL, credit rating models, and other credit risk models Advanced statistical and quantitative modelling skills: Linear regression, logistic regression, ARIMA modelling, Markov Chain, Merton Model, and other data mining/predictive modelling skills Strong programming skills in Python, R, SAS, Excel VBA, and other programming languages Good soft skills, including effective communication, team collaboration, and client engagement Strong project management skills FRM, CFA, CQF would be a plus Responsibilities Expert in the Model development primarily for PD/LGD/EAD, CCAR loss estimation & PPNR, PRA stress testing, Scenario analysis, IRB, IFRS 9, CCEL, credit rating models, and other credit risk models for retail, commercial or wholesale domain as per regulatory guidelines such as Capital Requirement Regulation (CRR) / Capital Regulation Directive (CRD) IV/ IFRS9 and BASEL Expert in the Model validation process involves understanding of model validation/ Risk Management guidelines such as SR 11/7 and SS 3/18, model development document, testing, and benchmarking and report writing Sound knowledge of current market trends and the regulatory agenda related to credit risk models particularly from a UK/US/European context Ability to independently review model documentations, undertake appropriate qualitative & quantitative analysis and author high quality analytical documentation Assist clients in developing and implementing credit risk models, providing advice and guidance as needed Prepare and deliver presentations to clients on credit risk topics Manage projects and ensure deliverables are completed on time and within budget Good written and verbal communication and presentation skills and ability to build report with the stakeholders to suggest the solution and communicate the impacts Mandatory Skill Sets Credit Risk Quant Preferred Skill Sets Model Development / Validation Years Of Experience Required 4+ Years Education Qualification MBA/CA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Credit Risk Management Optional Skills SoCs 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 Show more Show less

Req ID: 329385 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Supply Chain-Data & Analytics to join our team in Bengaluru, Karn?taka (IN-KA), India (IN). Title: Business Consulting Consultant Job Description As a Consultant/Sr. Consultant at NTT DATA Supply Chain Consulting, you join a team that helps craft supply chain strategies for the worlds largest and most dynamic firms. You will work in small teams of analytical thinkers and supply chain experts with a passion for problem solving. As part of a rapidly growing global firm, you will have opportunities to contribute, gain experience, learn, grow and advance in a stimulating small company environment. Responsibilities Your will be working with a project team from NTT DATA Supply Chain Consulting and our clients to design, manage, and deliver analysis-driven, actionable supply chain design/optimization recommendations. Your primary roles will be to perform data ETL (extract, transform, load), build supply chain optimization models/digital twins, execute & evaluate supply chain scenarios, perform data analytics on input data, optimization model outputs with the help of reports, visualization charts/dashboards. Client and/or other NTT DATA SCC team members can be in multiple geographies. Specific responsibilities include Work closely with the project manager to gather, transform, analyze, summarize, and report client data Contribute to the design of the optimization model; build models according to specifications Use tools like Tableau and PowerBI to draw insights from large data sets using KNIME, SQL, Alteryx etc Develop comprehensive output reports from optimization scenarios Work closely with the project manager to design, develop, and integrate material for client presentations and support the project manager during presentations to the client Engage and collaborate with client teams to identify data issues, solution review & acceptance Identify and communicate ways to improve NTT DATA Supply Chain Consulting analysis tools and techniques Identify and communicate issues that may impact project schedule or quality Learn client industry & business challenges Create content, solve problems using qualitative & quantitative methodsOwn discrete elements in the project and drive them to completion Develop and maintain positive client relationships Refine problem solving & consulting skills Support marketing (blogs, success stories) & talent acquisition Qualifications The ideal candidate will:Hold a Bachelors or Masters degree or equivalent equivalent from a leading institution in Industrial Engineering, Operations Research, Supply Chain Management, Logistics, or related major; Have two or more years of experience in using quantitative methods to analyze supply chain decisions. Have expertise in tools/packages such as Excel, Access, Tableau, Power BI, Alteryx, R, SPSS, SQL, Python etc. Advanced skills in managing large data via relational databases is a plus Demonstrate a track record of playing a pivotal role on supply chain projects (focus on Supply Chain Design and Inventory Optimization is preferred) Preferably have experience with Optilogic, LLamasoft Supply Chain Guru, ToolsGroup SO99+, AIIMS, River logic, JDA Supply Chain Strategist, and/or IBM LogicNet Plus, or similar supply chain modeling environments for Network Design and Inventory Optimization Have experience of working with teams in multiple geographies and cultures Demonstrate strong analytical skills & critical thinking Possess excellent communication (written& verbal) and presentation skills Manage multiple tasks and priorities concurrently and work well under tight timelines Reside in or be willing to relocate to Bengaluru, Karnataka, India with some travel to client sites Consultants/Sr. Consultants at NTT DATA Supply Chain Consulting must be comfortable operating in these roles: Doer: Ability to successfully complete critical project deliverables adhering to project deadlines Communicator: Ability to understand & communicate requirements, gaps and analyses with internal and client teams performing your own data analysis as necessary Problem Solver: Ability to utilize problem-solving skills to work through difficult challenges About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you&aposd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here . Show more Show less

Role: Senior Analyst Location: Bengaluru WHAT YOULL DO Were MiQ, a global programmatic media partner for marketers and agencies. Our people are at the heart of everything we do, so you will be too. No matter the role or the location, were all united in the vision to lead the programmatic industry and make it better. As part of DnA team, you will work as an independent individual contributor who is an analytics expert with technical proficiency. You will be responsible for bringing new analytics ideas and innovation to the campaign optimization strategies, KPI reporting, automation, and QBR/Insights. You will also be the face of the project execution team to build cutting-edge technical tools for business growth. Own entire delivery for Strategic/Grow accounts: Wow the client with high quality bespoke insights and campaign performance. Own delivery of advanced insights and QBRs with recommendations Active involvement in developing Presales/Pre-Campaign decks and proactive insights Partner with AMs and Traders to maintain stickiness for these accounts through repeated campaign success and top-notch client servicing. Bring in innovative analytics solutions to solve client business problem with the focus of increasing Share of Wallet Brainstorm & identify upselling and cross-selling opportunities. Identify opportunities & implement advanced activation use cases like Pred. Rtg., custom segmentation etc. Build automated solutions for Strategic accounts for better client engagement. New Data/API explorations and integration: Execution, Measure adoption & impact Identify automation opportunities and collaborating with Analyst for execution. Provide technical expertise to the team in Python/R, Spark, Databricks, SQL, etc. and ensure tech best practices through code optimizations. Function as a stakeholder for key Products to provide new feature testing, feature improvement and recommendations to improve MiQ product suite. Proactive involvement in central DnA initiatives and arranging knowledge sharing sessions. Responsible for mentoring and guiding Analysts and interns on core analytics competencies and programmatic/MiQ landscape Active participation in hiring and onboarding initiatives for Analyst & Interns Who are your stakeholders As a Senior Analyst you are required to work with different stakeholders across the MiQ ecosystem: Programmatic Traders: As an analyst, you collaborate with traders to optimize campaigns. By leveraging your data analysis skills & understanding of the data landscape, you provide insights on audience targeting, ad performance, and bidding strategies. This helps traders make data-driven decisions, optimize their advertising campaigns, and improve overall campaign effectiveness and ROI. Account Managers: You work closely with account managers to leverage the power of data partnerships. Through your analysis, you help uncover valuable insights about customer behavior, market trends, and campaign performance. This information allows account managers to create a compelling narrative, enhance engagement with advertisers, and showcase the effectiveness of MiQ&aposs advertising solutions. Sales Representatives: You will also be helping the sales team by creating insights based on the key market trends and events. Your analysis helps identify potential opportunities and develop a gripping sales narrative. Additionally, you assist in responding to Request for Proposals (RFPs) by providing data-driven insights and recommendations that help us in increasing the revenue streams. Agencies & Clients: Your expertise in data analytics and data sciences is invaluable for agency and advertiser clients. By providing detailed analysis reports & solutions, you empower them to make informed decisions regarding their marketing strategies. Your insights will help clients optimize their advertising budgets, target the right audience, and maximize the effectiveness of their campaigns. Additionally, you promote MiQ&aposs internal solutions and capabilities, showcasing MiQ&aposs unique value proposition in the programmatic landscape. In summary, as a senior analyst, you add value by providing data-driven insights and recommendations to traders, account managers, sales teams, and agency/advertiser clients that empowers MiQ and its stakeholders reach the right audience with right content at the right time. What Youll Bring Bachelors degree in engineering or equivalent quantitative field (such as Statistics, Mathematics, Economics) 2+ years experience in the analytics domain Working knowledge of Python/R Proficient in advanced SQL/Hive/presto, Excel, MS PowerPoint Ability to break down and solve problems through quantitative thinking and analysis. Experience in handling large datasets and deriving insights out of it Data visualization skills Programmatic Media / Ad-tech domain knowledge Knowledge of Big Data processing tools like Qubole/Databricks/Spark Knowledge of Tableau/PowerBI/Google Data Studio API Integrations > Storytelling skills Ability to communicate effectively, both verbally and in writing on day-to-day deliverables Work collaboratively with peers and business/technical teams Focus on timely execution and quality of delivery with an attitude to excel. Passionate for data analysis, continuous learning and professional development to keep up with the fast-paced environment. Guide and mentor analysts and new members in the team Weve highlighted some key skills, experience, and requirements for this role. But please dont worry if you dont meet every single one. Our talent team strives to find the best people. They might see something in your background thats a fit for this role, or another opportunity at MiQ. If you have a passion for the role, please still apply. What impact will you create As a Senior Analyst, your role will create value for MiQ in the following ways: Driving client stickiness: With your ability to analyze and interpret data, you will help our stakeholders make informed decisions. By providing accurate and actionable insights, you contribute to improving campaign performance and identifying new opportunities thereby improving customer stickiness. Driving Profitability: By leveraging the power of data you are expected to identify areas where we can optimize costs & improve performance of campaigns, while maintaining a competitive edge & profitability in our spends. MiQ Growth: Being on top of market trends & developments to suggest strategic measures that can help support MiQ&aposs business & tap into new revenue streams to drive growth Support Key Decision Making: Your expertise in data analysis and reporting provides decision-makers with the necessary information to make informed choices. Your reports, dashboards, and presentations help guide agencies, advertisers & internal stakeholders in making strategic and tactical decisions that align with the MiQ&aposs or client&aposs objectives. Analyst Best Practices: As a senior analyst, you are expected to introduce analytics & data best practices within the team, helping in setting up structures and quality frameworks within the team & internal stakeholders Whats in it for you Our Center of Excellence is the very heart of MiQ, and its where the magic happens. It means everything you do and everything you create will have a huge impact across our entire global business. MiQ is incredibly proud to foster a welcoming culture. We do everything possible to make sure everyone feels valued for what they bring. With global teams committed to diversity, equity, and inclusion, were always moving towards becoming an even better place to work. Values Our values are so much more than statements . They unite MiQers in every corner of the world. They shape the way we work and the decisions we make. And they inspire us to stay true to ourselves and to aim for better. Our values are there to be embraced by everyone, so that we naturally live and breathe them. Just like inclusivity, our values flow through everything we do - no matter how big or small. We do what we love - Passion We figure it out - Determination We anticipate the unexpected - Agility We always unite - Unite We dare to be unconventional - Courage Benefits Every region and office have specific perks and benefits, but every person joining MiQ can expect: A hybrid work environment New hire orientation with job specific onboarding and training Internal and global mobility opportunities Competitive healthcare benefits Bonus and performance incentives Generous annual PTO paid parental leave, with two additional paid days to acknowledge holidays, cultural events, or inclusion initiatives. Employee resource groups designed to connect people across all MiQ regions, drive action, and support our communities. Apply today! Equal Opportunity Employer Show more Show less

Job Title: Analyst Data Engineer Introduction To Role Are you ready to make a difference in the world of data science and advanced analytics As a Data Engineer within the Commercial Strategic Data Management team, you&aposll play a pivotal role in transforming data science solutions for the Rare Disease Unit. Your mission will be to craft, develop, and deploy data science solutions that have a real impact on patients' lives. By leveraging cutting-edge tools and technology, you&aposll enhance delivery performance and data engineering capabilities, creating a seamless platform for the Data Science team and driving business growth. Collaborate closely with the Data Science and Advanced Analytics team, US Commercial leadership, Sales Field Team, and Field Operations to build data science capabilities that meet commercial needs. Are you ready to take on this exciting challenge Accountabilities Collaborate with the Commercial Multi-functional team to find opportunities for using internal and external data to enhance business solutions. Work closely with business and advanced data science teams on cross-functional projects, delivering complex data science solutions that contribute to the Commercial Organization. Manage platforms and processes for complex projects using a wide range of data engineering techniques in advanced analytics. Prioritize business and information needs with management; translate business logic into technical requirements, such as creating queries, stored procedures, and scripts. Interpret data, process it, analyze results, present findings, and provide ongoing reports. Develop and implement databases, data collection systems, data analytics, and strategies that optimize data efficiency and quality. Acquire data from primary or secondary sources and maintain databases/data systems. Identify and define new process improvement opportunities. Manage and support data solutions in BAU scenarios, including data profiling, designing data flow, creating business alerts for fields, and query optimization for ML models. Essential Skills/Experience BS/MS in a quantitative field (Computer Science, Data Science, Engineering, Information Systems, Economics) 5+ years of work experience with DB skills like Python, SQL, Snowflake, Amazon Redshift, MongoDB, Apache Spark, Apache Airflow, AWS cloud and Amazon S3 experience, Oracle, Teradata Good experience in Apache Spark or Talend Administration Center or AWS Lambda, MongoDB, Informatica, SQL Server Integration Services Experience in building ETL pipeline and data integration Build efficient Data Management (Extract, consolidate and store large datasets with improved data quality and consistency) Streamlined data transformation: Convert raw data into usable formats at scale, automate tasks, and apply business rules Good written and verbal skills to communicate complex methods and results to diverse audiences; willing to work in a cross-cultural environment Analytical mind with problem-solving inclination; proficiency in data manipulation, cleansing, and interpretation Experience in support and maintenance projects, including ticket handling and process improvement Setting up Workflow Orchestration (Schedule and manage data pipelines for smooth flow and automation) Importance of Scalability and Performance (handling large data volumes with optimized processing capabilities) Experience with Git Desirable Skills/Experience Knowledge of distributed computing and Big Data Technologies like Hive, Spark, Scala, HDFS; use these technologies along with statistical tools like Python/R Experience working with HTTP requests/responses and API REST services Familiarity with data visualization tools like Tableau, Qlik, Power BI, Excel charts/reports Working knowledge of Salesforce/Veeva CRM, Data governance, and Data mining algorithms Hands-on experience with EHR, administrative claims, and laboratory data (e.g., Prognos, IQVIA, Komodo, Symphony claims data) Good experience in consulting, healthcare, or biopharmaceuticals When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That&aposs why we work, on average, a minimum of three days per week from the office. But that doesn&apost mean we&aposre not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca&aposs Alexion division, you&aposll find an environment where your work truly matters. Embrace the opportunity to grow and innovate within a rapidly expanding portfolio. Experience the entrepreneurial spirit of a leading biotech combined with the resources of a global pharma. You&aposll be part of an energizing culture where connections are built to explore new ideas. As a member of our commercial team, you&aposll meet the needs of under-served patients worldwide. With tailored development programs designed for skill enhancement and fostering empathy for patients' journeys, you&aposll align your growth with our mission. Supported by exceptional leaders and peers across marketing and compliance, you&aposll drive change with integrity in a culture celebrating diversity and innovation. Ready to make an impact Apply now to join our team! Date Posted 29-Jul-2025 Closing Date 04-Aug-2025 Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin an interactive dialogue with Alexion regarding an accommodation, please contact [HIDDEN TEXT]. Alexion participates in E-Verify. Show more Show less

The Model/Anlys/Valid Analyst II position is ideal for a developing professional who applies specialty area knowledge in monitoring, assessing, analyzing, and evaluating processes and data. You will be responsible for identifying policy gaps, formulating policies, interpreting data, making recommendations, and researching factual information. In this role, you will also be expected to identify inconsistencies in data, define business issues, and formulate recommendations on policies, procedures, or practices. It is important to integrate established disciplinary knowledge within your specialty area with a basic understanding of related industry practices as well as understand how your team interacts with others to accomplish objectives. Your role will have a limited but direct impact on the business through the quality of the tasks/services provided, with the impact restricted to your own team. Responsibilities include developing, enhancing, and validating methods of measuring and analyzing risk across all risk types, leading projects in terms of model development, programming, integration, testing, and validation, providing analytical support on analysis and benchmarking, and preparing regular and ad-hoc reports. You will participate in projects aimed at continuously improving risk analytics, modeling and validation systems, and optimizing reports. Furthermore, you will work on improving the reporting system and optimizing Credit MIS Reports. It is crucial to appropriately assess risk when making business decisions, demonstrating consideration for the firm's reputation, and ensuring compliance with applicable laws, rules, and regulations. Key qualifications for this role include demonstrated programming skills (SAS, SQL, R, etc.), knowledge of tools like VBA, basic knowledge of secured/unsecured banking products and US banking, good communication skills to convey technical information to both technical and non-technical audiences, proven analytical skills to identify root causes and trends, proficiency in Microsoft Office applications, and at least 2 years of experience in model implementation/validation/development. A Bachelors/University degree or equivalent experience is required. This is a full-time position within the Risk Management job family group, specifically in the Risk Analytics, Modeling, and Validation job family. Citi is an equal opportunity and affirmative action employer, welcoming all qualified interested applicants to apply for career opportunities. If you are a person with a disability and require a reasonable accommodation for using search tools or applying for a career opportunity, please review Accessibility at Citi.,

As a Business Analytics Int Analyst at our organization, you will be responsible for leveraging analytics to identify enhancement opportunities and more granular insights that can be acted upon, while ensuring adherence to Fraud Policy. Your role will involve ownership and management of fraud rules, scores, and detection strategies. You will analyze customer data and transactional data to identify emerging fraud trends, develop, and improve fraud strategies. Collaboration with cross-functional teams to provide strategy recommendations based on data and trend analysis, and implement mitigation strategies will also be a key aspect of your responsibilities. In this role, you will be tasked with generating and managing regular and ad-hoc reporting to enable effective monitoring and identification of emerging trends. Continually assessing manual and automated processes to identify potential process gaps and opportunities will be crucial. Your analytical skills will be utilized to develop MIS reports, dashboards, and communicate fraud results internally and to the business using advanced visualization techniques. Furthermore, you will work with various stakeholders during strategy development and conversion efforts to identify and fulfill data/analytical needs, as well as develop a comprehensive transition plan. Additionally, mentoring and coaching junior team members will be part of your responsibilities. To be successful in this role, you should hold a Bachelor's degree in Statistics, Economics, Finance, Mathematics, or a related quantitative field. A background in Engineering or MBA from a premier institute is preferred. You should have a minimum of 6+ years of hands-on analytical experience and at least 4+ years of experience in statistical analysis with working knowledge of SAS/SQL (mandatory) and R/Python (desired). The ability to work in a fast-paced, dynamic environment and hands-on experience in data visualization tools, such as Tableau, are essential. Strong analytical and problem-solving abilities are required to deliver projects in a fast-paced environment. Excellent verbal and written communication skills, experience with stakeholder management, and excellent presentation skills to eloquently explain and drive the agenda are also necessary for this role. While experience in fraud strategy/processes and/or fraud analytics is desired, it is not mandatory. This job description provides a high-level review of the types of work performed, and other job-related duties may be assigned as required. If you are looking for a challenging role where you can utilize your analytical skills and contribute to the development and improvement of fraud strategies, then this position may be the right fit for you. Join our team and be a part of a dynamic environment where your contributions will have a direct impact on the effectiveness of the team and other closely related teams.,

As an HR Analyst (Data Analysis and Data Visualization) at Omnicom Global Solutions, you will be responsible for collecting and consolidating data from multiple platforms. Your role will involve creating visually appealing and informative dashboards, reports, and presentations to effectively communicate key findings to stakeholders. Omnicom Global Solutions is a crucial part of Omnicom Group, a global marketing and corporate communications company with networks and specialty firms providing services to clients in over 70 countries. In India, we offer stellar products and solutions in various areas including Creative Services, Technology, Marketing Science, Advanced Analytics, Market Research, and more. In this role, you will collect and consolidate data from platforms like Culture Amp, One Learning, Open Door, and Greenhouse to analyze trends related to employee engagement and satisfaction. You will use statistical methods and data analysis tools to derive insights, perform predictive analytics, and create visually appealing reports using tools like Tableau and Power BI. To excel in this role, you should have at least 3 years of experience in data analysis, preferably within HR or Employee Experience. Join us in our journey of growth and innovation as we work together to enhance employee engagement and experience.,

You should possess a ME/M Tech or PhD in Computer Science or a related field to qualify for the role of Assistant Professor in Artificial Intelligence/Data Science at ASIET Kalady. As an Assistant Professor, your responsibilities will include conducting lectures, developing curriculum, mentoring students, and conducting research in the field of AI and Data Science. To excel in this role, you must have strong programming skills in languages such as Python, R, or Java. Additionally, experience in machine learning, deep learning, and data analysis will be beneficial. Knowledge of data visualization tools like Tableau or Power BI is also required. Excellent communication and presentation skills are essential for effectively conveying information to students and peers. If you hold a PhD in Computer Science, Data Science, or a related field, and meet the aforementioned qualifications, you are encouraged to apply for this challenging and rewarding position.,

As the Manager, Acceptance Analytics, you will work closely with data sets and Mastercard's systems, leveraging your expertise in analytics to connect data insights to broader business performance and strategy. You will be an integral part of the Business Insights, Analytics & Experience team for Global Acceptance, where your role involves identifying trends and insights across products and performance. By collaborating with business teams, you will structure data to drive actionable insights that inform strategy development. Your responsibilities will include leading KPI definition reporting for Global Acceptance, identifying trends and emerging patterns in data sets for actionable insights, and providing timely and relevant insights to support strategic objectives. Partnering with cross-functional teams to organize data effectively and drive valuable insights for key business initiatives will be crucial. You will play a key role in providing strategic insights that shape business strategies based on data-driven decisions. Additionally, you will continuously assess and enhance analytics practices and reporting processes to drive efficiency and effectiveness across the organization. To excel in this role, you should possess strong analytical skills to work with large datasets, proficiency in Mastercard's data systems and tools, and a strategic mindset to align data insights with the broader business strategy. Your ability to quickly learn, identify new patterns, and drive innovation will be essential for spotting growth opportunities and supporting business growth. Effective communication skills are key to translating complex data into clear insights that drive business decisions, while collaboration skills will enable you to work with cross-functional teams towards shared goals. Your interest in actively contributing to strategy development through data-driven insights, self-driven and adaptable nature, and motivation to thrive in a fast-paced environment will be valued. Knowledge of programming languages such as Python, R, or SQL for querying databases, manipulating data, and automating tasks is desired. Advanced Excel skills, including pivot tables, advanced formulas, and macros, are crucial for analyzing and organizing data effectively. Your ability to communicate complex data findings in a clear and compelling manner, making data accessible to non-technical stakeholders, will be essential in this role.,