3878 R Jobs - Page 7

The role involves designing, developing, and maintaining Qlik Sense and Power BI applications to support data analysis and visualization needs of the organization. You will be responsible for designing and creating Qlik Sense and Power BI dashboards and reports based on predefined requirements. You will identify trends, insights, and provide actionable recommendations to business teams. Regularly updating and maintaining existing dashboards to ensure data accuracy will be part of your responsibilities. Implementing security and access controls for dashboards and reports is also key. You will translate data into clear and effective visualizations for business users. Using QlikSense and PowerBI, you will create interactive reports that highlight key metrics and trends. Data gathering and analysis will involve extracting, cleaning, and transforming large datasets from multiple sources, including databases, APIs, and cloud platforms. Ensuring data integrity by performing data quality checks and validation is crucial. Creating DAX queries, calculated columns, and measures in Power BI for advanced analytics, as well as developing QlikSense scripts for data transformations and load processes, will be part of your tasks. Collaboration with business users to understand reporting needs and deliver solutions that meet those requirements is essential. Collaborating with team members to optimize the use of QlikSense and Power BI features and functionalities is expected. You will also assist users with basic troubleshooting related to QlikSense and PowerBI reports and dashboards. Providing user support for navigating and interpreting data visualizations is part of your role. Location: Pune, India Essential Skills: - Strong understanding of data visualization best practices and UI/UX principles. - Experience working with relational databases (SQL Server, MySQL, PostgreSQL, etc.). - Knowledge of ETL processes, data warehousing, and data modeling concepts. - Experience with Power Automate, Power Apps, and Qlik NPrinting (nice to have). - Experience in Python or R for data analysis. Education Requirements & Experience: - 3-6 years of experience in Power BI and Qlik Sense development. - Education: MS or bachelor's degree in engineering, computer science, or a related field.,

As a Data Scientist at our company, you will play a crucial role in understanding and solving business problems by utilizing your expertise in data science. Your responsibilities will include engaging with customer stakeholders to grasp business challenges, determining suitable data science methodologies, and identifying necessary data sources for project implementation. You will be tasked with conducting thorough Data Quality (DQ) checks, documenting issues, and communicating effectively with customers regarding data-related barriers. Your role will involve generating hypotheses, performing exploratory analyses, and presenting findings to clients in a compelling manner that highlights the business value. Utilizing a variety of learning algorithms, you will drive analytical modeling initiatives, assess model outputs objectively, and ensure the deployment of impactful analytical models into production. Additionally, you will be responsible for selecting appropriate data technologies, leading data pipelining efforts, and orchestrating data and machine learning solutions using cloud services. Your contributions will extend to promoting continuous integration and continuous deployment (CI/CD) practices in model deployment, ensuring effective customer communication, maintaining coding standards, and fostering a culture of best practices within the team. Moreover, you will lead by example in documenting project details via tools like Confluence and JIRA, as well as authoring technical blogs to showcase the team's achievements internally and externally. To excel in this role, you should hold a BS/MS degree in Computer Science, Math, Physics, Engineering, Statistics, or a related quantitative field. Your proficiency in regression, classification, and cluster analysis, along with a strong grasp of statistical concepts, will be vital. Expertise in Python, R, and SQL programming languages, coupled with experience in data visualization tools and libraries, will further enhance your capabilities as a Data Scientist. Your personal attributes, including strong communication skills, teamwork, self-motivation, and process orientation, will be key in driving projects to successful completion with minimal supervision. While previous experience with machine learning algorithms, cloud platforms, and distributed computing is advantageous, a passion for leveraging data to derive actionable insights is essential for this role. Desirable qualifications such as an M.S. degree, expertise in deploying models on cloud platforms, and knowledge of NoSQL databases and deep learning technologies will be beneficial. Your ability to articulate complex concepts, work effectively within a team, and prioritize tasks efficiently will contribute to your success in this dynamic and challenging position.,

The Research Assistant Position in Economics and Finance with Prof. Tanmoy Majilla at the Indian Institute of Management Ahmedabad entails assisting with ongoing research projects in (Development) Economics and Finance. The role will involve both empirical and theoretical analysis, requiring proficiency in basic econometrics and causal analysis methodologies like difference-in-differences and regression discontinuity designs. The responsibilities include coding and running surveys and experiments, data collection, organization, visualization, and analysis, as well as report writing. Theoretical tasks will involve organizing literature, replicating papers, and potentially solving models. This position is ideal for a student aiming to gain pre-doctoral research experience for transitioning to a top PhD program in Economics/finance or a related discipline. Candidates should be at a minimum in the final year of their Bachelor's degree in Economics/Engineering disciplines/Statistics/Operations Research/Physics/Applied Mathematics or equivalent, with preference given to those with a Master's degree or higher. Proficiency in at least one programming language among STATA, R, and Python is required, with knowledge of Matlab and LaTeX being beneficial. Prior experience/training in handling datasets, understanding econometric techniques, economic concepts, and strong English communication skills are preferred. The initial appointment for this position is six months, with the possibility of extension up to one year or beyond based on performance appraisal and academic progress. The selection process will involve testing shortlisted applicants on their ability to understand research papers, perform required analyses, and write codes through Zoom interviews. The selected candidate will receive a competitive monthly salary based on qualifications and experience, following IIM Ahmedabad's guidelines. Office space will be provided on the IIM Ahmedabad campus, with flexibility in location possible. Applicants are required to email their CV to Ms. Vinodini Raveendran at vinodini@iima.ac.in with the title RA application (TM) 2025. The CV should include a brief paragraph explaining why they are a good fit, and an analytical writing sample along with associated codes is encouraged but not mandatory. The application deadline is 10th January 2025, and the selected candidate is expected to join as soon as possible after selection.,

As an AI Expert with a minimum of 10 years of experience, you will play a critical role in our organization by serving as a technical expert and solving technical blockers faced by our development teams. Your primary responsibility will be to provide guidance and expertise in the development and implementation of AI solutions. You will work closely with cross-functional teams to ensure successful integration of AI technologies into our products and services. Additionally, your role will involve actively participating in Agile methodologies, with a focus on Scaled Agile and PI planning. Key Responsibilities: - Development Governance: Guide internal and external developers and help to remove technical dependencies and impediments during the product development. - Support Product Owner from a technical perspective. - Support in technical planning of the product. - Define enablers for the product backlog. - Consult AI Architect for questions regarding technical requirements. - Contribute to the self-organizing spirit of agile delivery teams and work in a full agile process. - Provide technical expertise and guidance to development teams in the implementation of AI solutions. - Analyze and understand technical requirements and propose AI-based solutions to address complex problems. - Collaborate with cross-functional teams to design and develop AI models and algorithms that meet business objectives. - Investigate and resolve technical blockers and challenges faced by development teams during the AI implementation process. - Stay up to date with the latest advancements and trends in AI technologies and bring innovative ideas to the organization. - Actively participate in Agile methodologies, including Scaled Agile Framework (SAFe), and contribute to PI planning, backlog grooming, and sprint reviews. - Conduct code reviews, provide constructive feedback, and mentor junior team members in AI best practices and techniques. - Collaborate with stakeholders to identify opportunities for applying AI technologies and drive their adoption across the organization. Qualifications, Experience & Skills: Mandatory skills, competencies & certifications: - Bachelor's or master's degree in Computer Science, Engineering, or a related field. - Minimum of 5 years of experience working in the field of AI, with a focus on solving technical challenges and implementing AI solutions. - Strong knowledge and understanding of AI technologies, including machine learning, deep learning, natural language processing, and computer vision. - Deep understanding of AI design patterns as well as their immediate implementation. - Deep technical understanding of data processing for consumption/delivery by AI microservices. - Established knowledge of modern software development and microservice frameworks. - Deep understanding of the relevant technology landscape for AI & BI products. - Proficiency in programming languages such as Python, R, or Java, and experience with popular AI frameworks (e.g., TensorFlow, PyTorch). - In-depth understanding of Agile methodologies, especially Scaled Agile Framework (SAFe), and experience with PI planning and related activities. - Excellent problem-solving and analytical skills, with the ability to think creatively and propose innovative AI-based solutions. - Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders. - Proven track record of successfully delivering AI projects and overcoming technical challenges in complex environments. Preferred skills, competencies & certifications: - Very high proficiency in Python. - Very high proficiency in the most common Python libraries for data science and machine learning: Pandas, Numpy, Scikit-Learn, SciPy, Statsmodels, Keras, TensorFlow, PyTorch, Matplotlib. - High proficiency in dependency management via Pip and Conda. - High proficiency in code versioning via Git. - High proficiency with Jupyter notebooks. - Very good knowledge of MLFlow, both operational and deployment strategies/architectures on cloud and on-premise. - Very good knowledge of Spark (pyspark), Kafka, Hadoop, and data formats for Big Data. - Good knowledge of Flask for the development of microservices. - Good knowledge of containerization via Docker. - Good knowledge of Openshift. - Optional: data visualization tools (Power BI, Tableau). Cloud Experience: - Azure Machine Learning. - Azure Language Service. - Azure OpenAI Service. - Azure Data Lake. - Azure Kubernetes Service. - Databricks.,

As a Technical Leader in our organization, you will play a pivotal role in architecting, designing, developing, and supporting a diverse suite of applications. Your expertise will be crucial in leading the design of secure and scalable software architectures, as well as developing data processing engines capable of handling large volumes of data. You will be driving the development of web-based platforms dedicated to healthcare analytics, and championing the adoption of best practices in software development, database management, and analytics implementation. In addition to your technical leadership responsibilities, you will also be instrumental in team building and mentorship. Your role will involve recruiting, onboarding, and cultivating a high-performing technical team. By mentoring team members and fostering skill development in coding, software architecture, and data visualization tools, you will contribute to promoting a collaborative and innovative team culture within our organization. Furthermore, your engagement with clients will be essential as you provide technical insights during discussions and presentations. Working closely with stakeholders, you will refine technical solutions to align them with business goals, ensuring a seamless integration of technology and strategic objectives. Key qualifications for this role include proficiency in leading the design of secure and scalable software architectures utilizing a wide range of technologies such as AWS/Azure, Docker, React.js, Node.js, Hasura, APIs, Microservices, Django, Flask, terraform, and more. Your hands-on experience in data analysis and software engineering, along with expertise in Python and other coding languages like SQL, R, or JavaScript, will be highly valued. Experience in web-based dashboard development using tools like Tableau, Power BI, or custom frameworks, as well as familiarity with US-based pharma clients and datasets, would be advantageous. Leadership and management skills are essential, with a strong emphasis on building and managing technical teams, problem-solving abilities, and a strategic mindset. A preferred experience of 8+ years in technical roles as a Solutions Architect or a similar position would be beneficial for this role. Joining our team offers you the opportunity to work on transformative healthcare projects in a collaborative and inclusive work environment. We provide a competitive salary, performance-based bonuses, and professional development opportunities to support your growth and success in this dynamic role.,

Genpact (NYSE: G) is a global professional services and solutions firm dedicated to shaping the future by delivering impactful outcomes. With a team of over 125,000 professionals spread across more than 30 countries, we are characterized by our inherent curiosity, entrepreneurial spirit, and commitment to creating enduring value for our clients. Fueled by our overarching purpose of continually striving towards a world that functions better for individuals, we partner with and enhance leading enterprises, including members of the prestigious Fortune Global 500. Our core competencies revolve around in-depth business and industry expertise, digital operational services, and proficiency in data, technology, and AI. We are currently seeking applications for the position of Business Analyst - Data Scientist to join our dynamic team. As a Business Analyst - Data Scientist at Genpact, you will play a pivotal role in the development and implementation of NLP (Natural Language Processing) models and algorithms, extracting actionable insights from textual data, and collaborating with cross-functional teams to deliver innovative AI solutions. **Responsibilities:** **Model Development:** - Proficiency in various statistical, machine learning, and ensemble algorithms. - Strong understanding of time series algorithms and forecasting use cases. - Ability to discern the strengths and weaknesses of different models and select appropriate ones for specific problems. - Proficiency in evaluating metrics and recommending suitable evaluation metrics for different problem types. **Data Analysis:** - Extracting meaningful insights from structured data. - Preprocessing data for machine learning/artificial intelligence applications. **Collaboration:** - Close collaboration with data scientists, engineers, and business stakeholders. - Providing technical guidance and mentorship to team members. **Integration and Deployment:** - Integrating machine learning models into production systems. - Implementing CI/CD pipelines for continuous integration and deployment. **Documentation and Training:** - Documenting processes, models, and results. - Providing training and support to stakeholders on NLP techniques and tools. **Qualifications we seek in you:** **Minimum Qualifications / Skills:** - Bachelor's degree in computer science, engineering, or a related field. - Proficient programming skills in Python and R. - Experience with data science frameworks such as SKLEARN and NUMPY. - Knowledge of machine learning concepts and frameworks like TensorFlow and PyTorch. - Strong problem-solving and analytical capabilities. - Excellent communication and collaboration skills. **Preferred Qualifications/Skills:** - Experience in predictive analytics and machine learning techniques. - Proficiency in Python/R or any other open-source programming language. - Building and implementing models, using algorithms, and running simulations with various tools. - Familiarity with visualization tools such as Tableau, Power BI, Qlikview, etc. - Proficiency in applied statistics skills, including distributions, statistical testing, regression, etc. - Knowledge and experience in various tools and techniques like forecasting, linear regression, logistic regression, machine learning algorithms (e.g., Random Forest, Gradient Boosting, SVM, XGBoost, Deep Learning), etc. - Experience with big data technologies (Hadoop, Spark). - Familiarity with cloud platforms like AWS, Azure, GCP. **Job Details:** **Title:** Business Analyst - Data Scientist **Primary Location:** India-Hyderabad **Education Level:** Bachelor's / Graduation / Equivalent **Job Posting:** Apr 1, 2025, 2:47:23 AM **Unposting Date:** May 1, 2025, 1:29:00 PM **Master Skills List:** Digital **Job Category:** Full Time,

Are you seeking an exciting opportunity to become a part of a dynamic and expanding team in a fast-paced and challenging environment This unique opening offers you the chance to collaborate with the Business team in providing a comprehensive perspective. As a key member of the Risk Management and Compliance sector, you play a crucial role in maintaining the strength and resilience of JPMorgan Chase. Your expertise aids the firm in growing its business responsibly by anticipating and addressing new and emerging risks. By leveraging your expert judgment, you tackle real-world challenges that impact not only our company but also our customers and communities. The culture within Risk Management and Compliance encourages innovative thinking, questioning of the status quo, and striving for excellence. MRGR, a global team of modeling experts within the organization, is dedicated to conducting independent model validation and governance activities to identify, measure, and mitigate Model Risk at the firm. The primary goal is to ensure that models are suitable for their intended purposes, employed correctly within the business context, and that users are knowledgeable about any limitations that could affect business decisions. **Job Responsibilities:** - Establish standards for robust qualitative model development practices and adapt them as necessary to meet evolving industry norms. - Assess adherence to development standards, including the soundness of design, reasonableness of assumptions, reliability of inputs, completeness of testing, correctness of implementation, and suitability of performance metrics. - Identify weaknesses, limitations, and emerging risks through independent testing, benchmark creation, and continuous monitoring. - Communicate risk evaluations and findings to stakeholders while maintaining high-quality technical documentation. - Aid the firm in ensuring the ongoing qualitative model usage is appropriate and maintaining the aggregate model risk within the established risk appetite. **Required Qualifications, Capabilities, and Skills:** We are searching for an individual enthusiastic about joining our team. If you meet the minimum requirements listed below, we invite you to apply for consideration for this position. - Bachelor's or Master's degree in business, finance, economics, or accounting. - Prior experience in a business modeling role. Candidates with extensive experience may be considered for more senior positions. - Excellent verbal and written communication skills, with the ability to interact effectively with various functional areas within the firm on model-related matters and produce high-quality technical reports. - Possess a risk and control mindset, with the ability to ask pertinent questions, evaluate the significance of model issues, and escalate concerns appropriately. - Proficiency in Python, R, or equivalent programming languages. - Familiarity with statistics and econometric modeling. **Preferred Qualifications, Capabilities, and Skills:** While not mandatory, the following additional qualifications will be taken into account: - Previous experience in financial products/markets and regulatory stress testing (CCAR/ICAAP) is advantageous.,

You will be responsible for creating a catalogue of reports to support data cleaning activities with low to medium complexity. Your tasks will include automating manual checks, reconciliation, and program edit checks for TPV data to ensure quality. Additionally, you will develop tools and repositories to minimize data errors at the source for the collection of lab reference ranges. You will program reports to identify missing pages, detect errors at the Subject level, and create reports to measure metrics for assessing data cleaning status. Furthermore, you will be tasked with creating visualizations and dashboards to identify discrepancies and trends in EDC and TPV data. In addition to the above responsibilities, you will contribute to the implementation of cross-functional projects as part of the clinical programming roadmap. This will involve collaborating with various teams including data management, development operations, clinical, biometrics, and other relevant multi-functional teams supporting clinical trials to deliver end-user reporting needs. As a Clinical Programmer, your duties will encompass designing, developing, implementing, and validating programs created in SAS/Python/R/SQL or dashboard applications such as PowerBI/Spotfire/MicroStrategy to process, analyze, and report clinical trial data for review by clinical study teams. To be successful in this role, you should possess a Bachelor's degree or equivalent in computer science, life science, or statistics. You must have good programming skills and prior experience in SAS/Python/R/SQL, as well as familiarity with business intelligence technologies like Power BI and MicroStrategy. An understanding of data collection and industry data standards, EDC systems such as Medidata Rave/Inform/Veeva, and basic knowledge of the clinical development process are also required. Desirable skills include proficiency in Python/SAS/SQL programming, data visualization, and analytics using tools like MicroStrategy/PowerBI or other BI tools. Exposure to tools like Saama/SAS LSAF and knowledge of the Clinical Trial Life Cycle and Data Management domain would be advantageous. In summary, as a member of Virtusa, you will be part of a global team that values teamwork, quality of life, and professional development. You will have the opportunity to work on exciting projects, leverage state-of-the-art technologies, and collaborate with great minds in a dynamic environment that fosters excellence.,

As a Manager, Data Insights at our company located in Gurugram HR, your primary responsibility will be to lead the Data Insights team to ensure the delivery of high-quality data analysis and reporting. You will be tasked with defining and executing strategies that promote data-driven decision-making in AI search products. Collaboration with engineering, product, and operations teams will be essential to enhance search experiences. Implementing best practices in data collection, processing, and visualization will also fall under your purview. Your role will involve leading investigations based on critical user feedback to ensure timely escalation and resolution. It will be crucial for you to stay updated on industry trends in AI, NLP, and search technologies to keep our strategies ahead of the curve. Additionally, presenting insights and recommendations to senior leadership for product enhancements will be a key aspect of your job. To be successful in this role, you should possess a minimum of 5 years of experience in data analytics, user research, or AI-driven insights. Proven leadership experience in data teams within a fast-paced tech environment is required. Proficiency in SQL, Python, R, and data visualization tools is essential. Your ability to synthesize complex data into clear and actionable business insights will be highly valued. Any experience in trust & safety, AI, or search technology will be considered a plus. Strong stakeholder management skills with the ability to influence decisions are also important traits for this role.,

As the Lead Data Science Expert (ML/AI/Data Science) at Egnify, you will play a crucial role in uncovering valuable insights from large volumes of data sourced from various internal and external outlets. Your expertise will be instrumental in making informed decisions that contribute to the enhancement of our products and services. Your key responsibilities will include: - Demonstrating a comprehensive understanding of the business challenges at hand. - Driving data analysis and developing models that directly impact our operational efficiency. - Collaborating with professionals from diverse scientific, engineering, and business backgrounds. - Partnering with engineers to implement and monitor the performance of data-driven recommendations, proofs-of-concept, and models. - Employing machine learning techniques to select features, optimize classifiers, and build predictive systems of high quality. - Conducting data mining using cutting-edge methodologies. - Extracting insights from authentic and publicly available sources to enrich data science initiatives and address data-related challenges. - Processing, cleansing, and validating data integrity for analytical purposes. - Performing ad-hoc analyses and presenting findings in a clear and concise manner. - Developing automated anomaly detection systems and continuously evaluating their efficacy. Qualifications: - B.Tech / M.Tech / PhD in Computer Science from prestigious institutions such as IITs or IISc, with a preference for leading engineering schools. - A minimum of 6 years of overall experience, including 2-3 years of demonstrable expertise in ML/AI/Data Sciences. - Proficiency in Data and Web Data Analytics. - Experience in utilizing machine vision, data mining, or machine learning to address real-world challenges with extensive image and/or video datasets. - Proficient in Python (e.g., pandas, numpy, scikit) or equivalent scripting languages. - Familiarity with R, Matlab, or other statistical tools. - Hands-on experience with deep learning frameworks like PyTorch, Tensorflow, Keras, etc. - Strong grasp of statistics, algebra, probability, and mathematical optimization. - Interest in leveraging scientific approaches to tackle educational issues on a large scale. - Excellent communication and collaboration skills to engage effectively with individuals from diverse technical backgrounds. - Possession of patents and/or technical publications is advantageous. - Prior experience in the Ed-Tech sector is desirable. In conclusion, at Egnify, we value a culture that fosters organizational success and individual satisfaction. Upholding principles such as thinking big, solving challenging problems, focusing on experiences, promoting accountability, nurturing talent, embracing failure as a means of growth, and ensuring an enjoyable work environment are key aspects of our ethos.,

You will collaborate with stakeholders, including Domain Leads in Operations, IT, and Data, to understand the business needs and shape the vision and roadmap for data-driven initiatives aligned with strategic priorities. You will contribute to the development of the program vision and communicate the product and portfolio vision to your team. Working closely with data scientists, engineers, and designers, you will ensure products are built efficiently, meet user needs, and provide actionable insights. As a Data Product Owner, you will analyze data sources, data technologies, and vendors providing data services to leverage in the data product roadmap development. You will create necessary ER diagrams, data models, PRD/BRD to convey requirements and be accountable for developing and achieving product level KPIs. Managing data products with a moderate degree of strategy, scope, and complexity, you will ensure data accuracy, consistency, and security by establishing data governance frameworks and implementing data management best practices. In this role, you will collaborate with technology and business leadership to align system/application integrations inline with business goals and priorities. You will own and maintain the product backlog, prioritize its contents, and ensure clear, actionable user stories. Additionally, you will set priorities, actively participate in squad/team quarterly planning, and work closely with the agile working group to clarify business requirements, remove roadblocks, and support alignment around product strategy. Monitoring and maintaining the product health, supporting long-term product viability and efficiency, you will balance long and short-term costs with desired outcomes. You will analyze and report on feasibility, cost of delay ramifications, economies, or other aspects of planned or potential changes to the product. Understanding regulatory, compliance, and industry constraints on the product, you will negotiate with internal and external teams to ensure priorities are aligned across squads/teams both within and outside the portfolio. To qualify for this position, you should hold a Bachelor's degree in computer science, Business Administration, or related field, with a Master's degree preferred. You must have a good understanding of data technologies such as databases, data warehouses, and data lakes, along with proven experience of 5+ years as a Data Product Owner, Data Product Manager, or similar role in data or software development. Strong understanding of Agile methodologies, including Scrum and Kanban, and proficiency in programming languages such as Python, R, SQL, or SAS, and cloud technologies like AWS, Azure, are essential. Excellent analytical, problem-solving, decision-making, communication, negotiation, and interpersonal skills are required, along with proficiency in product management tools and the Microsoft Office Suite. Familiarity with UX/UI design principles, software development lifecycle, and software engineering concepts is a plus, as well as experience in insurance, particularly Commercial & Specialty Insurance products. Experience with product management tools such as JIRA, Trello, or Asana, and proficiency in Microsoft Office Suite is preferred. Familiarity with UX/UI design principles, software development lifecycle (SDLC), and software engineering concepts is a plus. Agile practitioner capabilities and experience working with or in Agile teams are highly valued. Strong teamwork, coordination, organization, and planning skills are necessary. Ability to capture complex requirements in a prioritized backlog and managing stakeholders" requirements are vital for success in this role.,

As a Microsoft Fabric Consultant - Senior at EY, you will leverage your expertise to contribute to the design, development, and deployment of Business Intelligence (BI) solutions. With 4+ years of experience in Power BI, you will be responsible for translating business requirements into technical specifications and creating visualizations to support data-driven decision-making. Your primary responsibilities will include designing database architecture for dashboards, conducting unit testing, troubleshooting BI systems, and collaborating with global teams to integrate systems. Your proficiency in Power BI tools such as DAX, Power Query, and SQL will be essential in developing and executing database queries, conducting analyses, and creating reports for various projects. In addition to your technical skills, your soft skills will play a crucial role in this role. Excellent communication skills, being a team player, self-starter, and highly motivated individual, along with the ability to handle high-pressure and fast-paced situations will be key attributes for success. Your presentation skills and experience working with globally distributed teams will be valuable in effectively collaborating and delivering exceptional BI solutions. While experience with Azure Data Factory, Azure Synapse, Python/R, PowerApps, Power Automate, and design skills like Adobe XD/Figma are considered beneficial, they are not mandatory. Your focus will be on designing, building, and deploying BI solutions, evaluating and improving existing systems, and developing and updating technical documentation to ensure the success of projects. At EY, we are committed to building a better working world by providing trust through assurance and helping clients grow, transform, and operate in over 150 countries. By joining our diverse team, you will have the opportunity to contribute your unique voice and perspective to drive innovation and create a positive impact on clients, people, and society. Join us at EY and embark on a rewarding journey to become the best version of yourself while contributing to a better working world for all.,

As a .Net AI Developer at Unified Cloud Pvt. Ltd., you will be an integral part of the Azure Open AI Solution Team in Noida. Unified Cloud LLC, a leading provider of cloud modernization and migration services focusing on Azure technologies, is looking for an experienced professional to enhance their cloud services with AI-driven innovation. Your responsibilities will include creating and maintaining web-based applications using cutting-edge .NET technologies such as ASP.NET, C#, MVC, and Web API. Collaborating with the team, you will define software requirements and technical designs while ensuring clean, efficient, and well-documented code adhering to industry best practices. Additionally, you will implement front-end interfaces using HTML, CSS, and JavaScript frameworks like Angular, React, or Vue.js, along with designing and optimizing relational databases for optimal performance. To excel in this role, you should demonstrate proficiency in SQL, MVC, .NET, and Azure Cloud, with expertise in AI/ML technologies, especially Azure OpenAI. Your programming skills in languages like C#, Python, and R will be crucial, along with familiarity in AI technologies such as LLM, NLP, and DL. A comprehensive understanding of cloud services, particularly Azure, and adaptability to a dynamic work environment are essential. Preferred skills include experience with Azure OpenAI, general AI, and Generative AI, as well as knowledge of other cloud platforms like GCP and AWS. If you are passionate about cloud technology and AI-driven innovation, and if you meet the requirements mentioned above, we encourage you to apply. Please submit your resume and a cover letter highlighting your relevant experience and contributions you can bring to our team. For more details or to apply for this position, please contact us at snehlataj@unifycloud.com.,

The Bioinformatics Scientist position requires a candidate with expertise in single-cell transcriptomics and multi-omics analysis to develop AI-driven solutions using Elucidatas platform. As a Bioinformatics Scientist, you will be responsible for utilizing your knowledge of biology and computational methods to analyze omics data, extract valuable insights, and assist clients in solving complex biological challenges. This role is suitable for individuals who excel at the convergence of biology, data science, and client engagement, possessing strong communication abilities and a dedication to advancing life science research through data. Your primary responsibilities will include interpreting biological problem statements and multi-omics data to create compelling scientific presentations and scalable solutions. You will be expected to analyze various biological data types (genomics, transcriptomics, proteomics, metabolomics) using advanced statistical techniques, with a specific emphasis on single-cell transcriptomics. Additionally, you will play a key role in innovating and enhancing tools, pipelines, and algorithms for multi-omics data analysis and visualization. Collaborating with a diverse team of ML specialists, data scientists, and bioinformatics engineers, you will translate customer needs into innovative solutions while working closely with technical owners and solution managers to drive account growth and maintain customer relationships. The ideal candidate should hold a PhD or Master's degree in Bioinformatics, Computational Biology, Biotechnology, or a related technical field, with proven experience in processing and analyzing multi-omics data, particularly single-cell transcriptomics data. Proficiency in programming languages like Python or R is essential, along with practical experience in applying computational algorithms and statistical methods to large and varied data sets. A successful track record of collaboration and individual work, coupled with excellent communication and presentation skills, are also crucial for this role. Desirable qualifications for this position include familiarity with cloud technologies and scalable computing platforms, as well as experience in AI/ML applications for biomedical data analysis and prior involvement in customer collaboration and project delivery.,

We are seeking a self-motivated and energetic Reporting and Analytical professional to join our Global Human Resources (GHR) Workforce Analytics and Insights Team. As an Analyst, you will play a key role in supporting the evolution of our reporting function by providing timely and high-quality reporting and analysis on HR data. Your insights will help identify trends and guide global business decisions. Additionally, you will collaborate with internal teams to enhance reporting processes and optimize delivery solutions to align with State Street's strategies. This role also involves supporting technology platforms, implementing functionality, and ensuring maintenance. Key Responsibilities: - Managing ad-hoc reporting and analysis needs - Establishing collaborative relationships with internal clients, HR Centers of Excellence (CoEs), HR Business Partners (HRBPs), corporate functions, and business leaders - Providing consultation, data interpretation, and presentation services, managing all phases of reporting projects - Designing and developing metrics, intuitive reports/dashboards, and visual aids for actionable insights - Documenting/updating reporting processes, identifying opportunities for standardization and efficiency improvements - Collaborating with team members to share knowledge, remove roadblocks, and find optimal resolutions - Building and maintaining HR Data Governance Structure and Dictionary - Connecting with the HR analyst community, supporting knowledge sharing and best practices - Translating data insights into actionable recommendations - Determining analytical approaches to evaluate scenarios and potential outcomes - Applying statistical techniques and mathematical analyses to analyze large datasets Qualifications And Required Skills: - Bachelor's degree in Human Resources, Business, Finance, Computer Science, or Information Management preferred - 5+ years of experience with SQL, R, and data visualization tools like Tableau - Knowledge and hands-on experience with Workday - Strong technical skills with expertise in MS Office Suite, including Advanced Excel, PowerPoint, and Visio - Prior experience with Optimization models - Strong verbal and written communication skills for non-technical audiences - Ability to thrive in a fast-paced, changing environment and manage ambiguity - Proven ability to work independently and in a team setting - 7-10 years of experience in HR reporting and analysis is a plus - Demonstrated business acumen, analytical, and problem-solving skills About State Street: State Street is a global leader that institutional investors rely on to manage risk, respond to challenges, and drive performance and profitability. Our commitment to creating an inclusive and engaging environment where employees can reach their full potential is reflected in our values. We provide tools for work-life balance, paid volunteer days, and access to employee networks that matter to you. Join us at State Street, an Affirmative Action/Equal Opportunity Employer/Vet/Disability. Job ID: R-756245,

You will be responsible for architecting and delivering Automation and AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. Working closely with business stakeholders, you will understand business requirements and design custom AI solutions to address complex challenges. This role offers the opportunity to accelerate AI adoption across the business landscape in the Statistical Applications and Data domain. Your key responsibilities include defining and leading AI use cases in clinical projects from start-up through close-out. This involves tasks such as protocol development, site management, and data review. To excel in this role, you must be a proficient programmer capable of developing AI solutions thoroughly. Additionally, you will be expected to coach and mentor junior AI/ML engineers to enhance and accelerate AI adoption in business processes. Required Technical Skills: - Bachelors degree in a relevant scientific discipline (e.g., Biomedical engineering, Life Sciences, Nursing, Pharmacy) or clinical background (e.g., MD- Doctor of Medicine OR RN - Registered Nurse) - Advanced degree (e.g., Masters or Ph.D.) in Data Science, AI/ML - Overall experience of 10-12 years with a minimum of 5-7 years in clinical research, particularly managing clinical trials in pharmaceutical, biotechnology, or contract research organization (CRO) settings - Minimum of 5-7 years of experience in AI research and development, specifically focusing on healthcare or life sciences applications - Strong understanding of clinical trial regulations and guidelines, including Good Clinical Practice (GCP), International Conference on Harmonization (ICH), and applicable local regulations - Proven track record in designing and delivering AI solutions, emphasizing foundation models, large language models, or similar technologies - Experience in natural language processing (NLP) and text analytics is highly desirable - Proficiency in programming languages such as Python, R, and experience with AI frameworks like TensorFlow, PyTorch, or Hugging Face - Knowledge of libraries such as SciKit Learn, Pandas, Matplotlib, etc. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus - Experience working with large datasets, performing data pre-processing, feature engineering, and model evaluation - Proficiency in solution architecture and design, translating business requirements into technical specifications, and developing scalable and robust AI solutions In summary, this role requires a seasoned professional with a strong background in AI, clinical research, and technical expertise to drive innovation and AI adoption in the pharmaceutical domain, particularly in clinical settings.,

You will be responsible for refining ambiguous questions and generating new hypotheses about the product through a deep understanding of the data, customers, and business. Designing experiments and interpreting the results to draw detailed and impactful conclusions will also be a key aspect of your role. You will define how our teams measure success by developing Key Performance Indicators and other user/business metrics in close partnership with Product and other subject areas such as engineering, operations, and marketing. Collaboration with applied scientists and engineers to build and improve the availability, integrity, accuracy, and reliability of data logging and data pipelines will be essential. Additionally, you will develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritization of product, growth, and optimization initiatives. To be successful in this role, you should have an undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields. With at least 6 years of experience as a Product Analyst, Sr. Data Analyst, or in other data analysis-focused functions, you should possess an excellent understanding of statistical principles supported by an academic foundation. Advanced SQL expertise and experience with either Python or R for data analysis are required. You should also have significant experience in setting up and evaluating complex experiments, along with a proven track record of wrangling large datasets, extracting insights, and summarizing learnings. Proficiency in Excel and some dashboarding/data visualization tools like Tableau, Mixpanel, or Looker is preferred. Preferred qualifications include a proven aptitude for Data Storytelling and Root Cause Analysis using data, the ability to learn and adapt to new methodologies for data collection and analysis, and delivering on tight timelines while prioritizing multiple tasks with attention to quality and detail. You should be able to work in a self-guided manner, mentor, coach, and develop junior team members, and possess superb communication and organizational skills.,

As the Revenue Optimization and Pricing Strategy Manager, you will be responsible for developing and implementing strategies to maximize revenue with a target-driven approach. Your key responsibilities will include identifying, planning, and executing opportunities to optimize the channel mix while focusing on maximizing profit margins. You will also be in charge of controlling discounts, promotions, and channel campaigns to achieve revenue targets. In this role, you will serve as the primary point of contact for revenue communications and insights for both internal (operations team) and external stakeholders (hotel owners, managers). Collaboration with cross-functional teams will be essential to drive issue resolution and lead key revenue projects in coordination with the ground Operations team. Additionally, you will work closely with the central pricing team to enhance pricing algorithm functionality and provide inputs for revenue maximization. Furthermore, you will collaborate with global teams to introduce best practices to US markets, acting as a bridge between global and local strategies for knowledge sharing. You will oversee and ensure a successful Revenue Launch cycle for new hotel assets joining the portfolio. To excel in this role, you should possess experience in designing and executing projects, have a strong data orientation with the ability to analyze numbers effectively, and identify trends and patterns. Proficiency in R and SQL is advantageous. Effective communication skills, both verbal and written, are crucial, along with a demonstration of high ethical values. The ability to manage multiple stakeholders is essential. The ideal candidate will have a minimum of 6 years of experience in category or revenue management and hold an MBA/PGDM from the 2010 to 2016 batch only. Additionally, candidates should be comfortable working in UK/US shifts.,

We are looking for an experienced AI/ML Architect to spearhead the design, development, and deployment of cutting-edge AI and machine learning systems. As the ideal candidate, you should possess a strong technical background in Python and data science libraries, profound expertise in AI and ML algorithms, and hands-on experience in crafting scalable AI solutions. This role demands a blend of technical acumen, leadership skills, and innovative thinking to enhance our AI capabilities. Your responsibilities will include identifying, cleaning, and summarizing complex datasets from various sources, developing Python/PySpark scripts for data processing and transformation, and applying advanced machine learning techniques like Bayesian methods and deep learning algorithms. You will design and fine-tune machine learning models, build efficient data pipelines, and leverage distributed databases and frameworks for large-scale data processing. In addition, you will lead the design and architecture of AI systems, with a focus on Retrieval-Augmented Generation (RAG) techniques and large language models. Your qualifications should encompass 5-7 years of total experience with 2-3 years in AI/ML, proficiency in Python and data science libraries, hands-on experience with PySpark scripting and AWS services, strong knowledge of Bayesian methods and time series forecasting, and expertise in machine learning algorithms and deep learning frameworks. You should also have experience in structured, unstructured, and semi-structured data, advanced knowledge of distributed databases, and familiarity with RAG systems and large language models for AI outputs. Strong collaboration, leadership, and mentorship skills are essential. Preferred qualifications include experience with Spark MLlib, SciPy, StatsModels, SAS, and R, a proven track record in developing RAG systems, and the ability to innovate and apply the latest AI techniques to real-world business challenges. Join our team at TechAhead, a global digital transformation company known for AI-first product design thinking and bespoke development solutions. With over 14 years of experience and partnerships with Fortune 500 companies, we are committed to driving digital innovation and delivering excellence. At TechAhead, you will be part of a dynamic team that values continuous learning, growth, and crafting tailored solutions for our clients. Together, let's shape the future of digital innovation worldwide!,

As a global leader in assurance, tax, transaction, and advisory services, EY is dedicated to hiring and developing passionate professionals to contribute to building a better working world. At EY, you are offered a culture that values training, opportunities, and creative freedom, focusing not just on your current abilities but also on your potential for growth. Your career at EY is yours to shape, with limitless possibilities, motivating experiences, and continuous support to help you reach your professional best. EY has an exciting opportunity for the position of Senior Consultant in the National-Assurance-ASU - Audit - Standards and Methodologies team based in Kolkata. The Assurance team at EY aims to inspire confidence and trust in a complex world by protecting the public interest, promoting transparency, supporting investor confidence, and fostering talent for future business leaders. You will be involved in ensuring compliance with audit standards, providing clear perspectives to audit committees, and delivering critical information for stakeholders. Your responsibilities will include demonstrating technical excellence in audit analytics, foundational analytics, visualization, data extraction, risk-based analytics, and business understanding. Proficiency in databases, ETL, SQL, visualization tools like Tableau, Spotfire, or Qlikview, and experience in Machine Learning using R or Python is required. You should also have expertise in MS Office Suite, NLP, Web Scraping, Log Analytics, TensorFlow, AI, and Beautiful Soup. To qualify for this role, you should hold a qualification in BE/B.Tech, MSC in Computer Science/Statistics, or M.C.A, along with 5-7 years of relevant experience. EY is looking for individuals who can work collaboratively across various client departments, offer practical solutions to complex problems, and possess agility, curiosity, mindfulness, and positive energy. EY offers a dynamic work environment with a focus on skills development, learning, and career progression. As a part of EY, you will have access to personalized career journeys and resources to enhance your roles, skills, and opportunities. EY is dedicated to being an inclusive employer, ensuring the well-being and career growth of its employees while delivering excellent client service. If you meet the criteria mentioned above and are ready to contribute to building a better working world, apply now to join EY and be a part of a team committed to making a positive impact.,

As a Statistical Modeller - Clinical, you will be responsible for utilizing your expertise in clinical trials and clinical data monitoring to develop and implement statistical models. Your role will involve working with Bayesian and Frequentist models, as well as handling EDC, CTMS, ePro, and eCOA systems. You will also be involved in RBQM, signal detection, KRI analysis, and outlier detection. In this position, a strong understanding of GCP ICH E6/8 and EMA Guidelines is essential. Proficiency in statistical software such as SAS, R, JMP Clinical, and Python will be required for data analysis and modelling. Experience with visualization tools like Tableau and Power BI will also be beneficial. Additionally, familiarity with project management tools like Jira and Confluence is necessary to collaborate effectively with cross-functional teams. An advanced knowledge of R, HTML, and GitHub will further support your role in this dynamic environment.,

Company Description CPVIA Private Limited is a clinical data analytics solutions company offering statistical programming outsourcing and statistical consulting services. Our mission is to help customers accelerate drug development activities across therapeutic areas with increased quality and optimum cost through our experienced and expert team. We provide specialized services including CDISC Data Standardization, Statistical programming, and biostatistics consultancy. We serve pharmaceutical, biotechnology, and medical device companies. Role Description This role is for Senior & Principal Statistical Programmers located in Hyderabad . The role involves performing day-to-day statistical programming tasks, supporting clinical data management, developing and maintaining macros, and contributing to statistical data analysis. Responsibilities also include but not limited to: Writing and validating complex statistical programs, maintaining data integrity, and ensuring compliance with regulatory requirements. Strong experience with CDISC SDTM and ADaM standards with solid understanding of GCP, ICH guidelines, and regulatory submission requirements. Extensive experience with SDTM, ADaM and TFL programming using SAS (and optionally R) . Provide technical leadership and oversight to fellow programmers. Contribute to create and develop macros, utilities and automation tools for reuse across projects. Should be flexible and available to work in overlapping US and/or UK business hours . Qualifications Minimum 6+ years (for Sr.)/ 10+ years (for Principal) expertise in Statistical Programming in Clinical Research. Bachelor&aposs or Masters degree in Statistics, Biostatistics, Life Sciences, Computer Science, or a related field. Strong understanding of Statistics and Data Management activities. Experience in developing and maintaining Macros. Excellent written and verbal communication skills. Ability to work collaboratively in a team-oriented environment. How to Apply: If you are eligible with the above requirements, please send your CVs to [HIDDEN TEXT] Show more Show less

Job Description Position: Associate Director Artificial Intelligence Organizations: The selected candidate with oversee the following SBUs; Health Parliament | Academy of Digital Health Sciences | International Patients Union Location: New Delhi Reports to President About the Role We are seeking a visionary and highly skilled Associate Director Artificial Intelligence to lead the strategy, development, and deployment of AI-driven initiatives across platforms. The ideal candidate will combine deep technical expertise with strategic leadership and a passion for transforming healthcare through AI. This role spans three pioneering institutions: Health Parliament A global think tank and leadership development organization shaping global healthcare policy, governance and reforms. Academy of Digital Health Sciences leading digital health education and training. International Patients Union (IPU) empowering patients and amplifying their voices globally. Key Responsibilities Strategic Leadership Develop and execute the AI strategy across healthcare policy, training, and patient engagement initiatives. Lead AI governance frameworks focusing on ethics, bias mitigation, safety, and transparency. Identify global collaborations in AI for healthcare. AI Research & Development Design, pilot, and scale AI-driven healthcare models Oversee data integration and interoperability projects ensuring compliance with GDPR, HIPAA, and other applicable guidelines. Capacity Building Represent the organizations in global forums such as WHO, UN IGF, and Commonwealth Operational Leadership Build and manage a multidisciplinary AI innovation team. Work closely with investors, regulators, and advisory boards. Qualifications Education Masters or PhD in Artificial Intelligence, Computer Science, Data Science, and Digital Health. Certifications in AI ethics, healthcare informatics, or digital health policy are highly desirable. Experience 35 years of progressive experience in AI/ML with at least 2 years in healthcare AI applications. Proven track record in AI strategy, implementation, or policy advocacy at national or international level. Experience with health data governance, federated learning, natural language processing (NLP), or generative AI solutions. Skills Expertise in Python, R, TensorFlow, PyTorch, and other leading AI/ML frameworks. Understanding of digital therapeutics, telemedicine, remote monitoring, and patient engagement platforms. Excellent communication and leadership skills with ability to interact policy and industry leaders. Ability to balance technical depth with strategic foresight. Why Join Us Be at the epicenter of global healthcare transformation. Work with a world-class board, advisory board and visionary leadership. Drive initiatives that impact millions of patients and healthcare providers globally. Shape the future of digital health policy, education, and patient empowerment. Apply via: [HIDDEN TEXT] Show more Show less

Othor AI is seeking a talented and motivated Mathematician Research Intern to join our decision intelligence team. This internship offers an exceptional opportunity to work at the intersection of advanced mathematics, artificial intelligence, and real-world decision-making systems. You&aposll contribute to cutting-edge research that transforms how organizations make complex decisions through mathematical modeling and AI-driven insights. Key Responsibilities Develop and analyze mathematical models for decision optimization problems Research and implement novel algorithms for multi-criteria decision analysis Collaborate with AI researchers to integrate mathematical frameworks into machine learning pipelines Conduct theoretical analysis of decision intelligence algorithms and their convergence properties Prototype mathematical solutions using Python, R, or MATLAB Contribute to research publications and technical documentation Present findings to cross-functional teams and external stakeholders Assist in developing mathematical foundations for explainable AI decision systems Required Qualifications Currently pursuing or recently completed Master&aposs or PhD in Mathematics, Applied Mathematics, Operations Research, or related field Strong background in optimization theory, linear algebra, and probability theory Experience with mathematical modeling and algorithm development Proficiency in at least one programming language (Python, R, MATLAB, or Julia preferred) Knowledge of statistical analysis and numerical methods Excellent analytical and problem-solving skills Strong written and verbal communication abilities Ability to work independently and collaboratively in a fast-paced research environment Preferred Qualifications Experience with machine learning and artificial intelligence concepts Background in game theory, decision theory, or multi-objective optimization Familiarity with deep learning frameworks (TensorFlow, PyTorch) Experience with mathematical software (Mathematica, Maple, or similar) Previous research experience in applied mathematics or related fields Publications in peer-reviewed journals or conferences Knowledge of reinforcement learning or Bayesian methods What We Offer Mentorship from leading researchers in decision intelligence and AI Opportunity to work on challenging, real-world mathematical problems Access to cutting-edge computational resources and research tools Collaborative environment with opportunities for professional growth Competitive internship compensation Potential for publication opportunities and conference presentations Flexible hybrid work arrangements Networking opportunities within the AI and decision science community Duration & Commitment 3-6 month internship with potential for extension Full-time commitment (40 hours/week) preferred Part-time arrangements considered for exceptional candidates Start date flexible based on candidate availability About Othor AI Othor AI is at the forefront of decision intelligence, developing AI systems that help organizations make better decisions through advanced mathematical modeling and machine learning. Our multidisciplinary team combines expertise in mathematics, computer science, and domain-specific knowledge to solve complex real-world problems. Show more Show less

Colt provides network, voice and data centre services to thousands of businesses around the world, allowing them to focus on delivering their business goals instead of the underlying infrastructure. Why we need this role This is a 1 year interim position covering Maternity Leave. Leading a small international team you will help us to continue our journey to build and grow our analytics capability. In this pivotal role, you will be building on existing foundations to deliver data-driven insights that inform strategic HR decisions across the globe. This is a unique opportunity to make a meaningful impact in a growing function, contributing to the development of tools, processes, and reporting that support our global workforce. We are looking for someone who brings their own fresh thinking and a proactive mindset, someone whos excited to create new solutions, drive innovation, and introduce compelling, insight-driven storytelling Join us and you will be part of a fast-growing community of like-minded experts to grow and learn alongside you in your career. What You Will Do Manage the People Analytics activities across all areas of HR and build effective and collaborative partnerships with stakeholders. Work with HR business partners and leaders of the different HR COIs to understand their objectives and establish their reporting needs and key performance indicators. Support the team to introduce visualisation and the use of Power BI adapting current dashboards and creating new solutions making insights digestible. Introduce analytical methodologies using storytelling to describe trends, patterns and insights. Influence and partner with a wide range of cross-functional stakeholders from within the HR, Colt CEO Office, IT, Finance, Data Office, Projects & Process Transformation team, as well as the wider business, to design and implement robust, globally scalable HR solutions. Work with stakeholders to build a strategy for data and analytics. Lead ad hoc projects as required, working in partnership with global stakeholders, including on-time closure of Audit actions. Champion insight driven approaches to problem solving, decision-making, and help to enhance the data and insight culture across the business. Outline, establish and ensure the delivery of high quality and timely HR reporting products to the respective HR teams. Own the development of the Global HR reporting and analytics roadmap. Ensure reporting processes and items are fully documented. Ensure appropriate access and privacy controls are in place for all reporting products within HR. Develop the Global People Analytics team members through exposure to transformation initiatives and direct coaching to maintain a high performing team. What We&aposre Looking For Skills & Experience People Analytics Leadership Experience Experience leading small to mid-sized analytics teams or cross-functional project teams. Strong program management skills: managing global initiatives, timelines, and deliverables. Proven track record of developing team capability, using data to solve HR problems: workforce planning, retention modelling, employee sentiment analysis, etc. HR Domain Expertise In-depth understanding of People functions: talent acquisition, performance management, engagement, attrition, DEI, learning & development. Familiarity with global HR practices, legal considerations, and cultural nuances. Data & Analytical Skills Proficiency in tools like SQL, Python, or R for data analysis. Expertise in HRIS systems (e.g. SAP SuccessFactors, Workday, Oracle Fusion), survey platforms (e.g. Qualtrics, Glint), and data visualization tools (e.g. Power BI, Tableau). Ability to build and interpret statistical models, predictive analytics, and advanced dashboards. Strategic & Consulting Skills Experience working closely with senior HR and business leaders to shape people strategies. Ability to influence stakeholders, present complex data clearly, and connect analytics to business outcomes. Strong storytelling skills using data. High emotional intelligence (EQ) and resiliency.? Qualifications Preferred Degrees: Statistics, Data Science, Organizational Psychology, Business Analytics, or related fields. Expertise in HRIS systems (e.g. SAP SuccessFactors, Workday, Oracle Fusion), survey platforms (e.g. Qualtrics, Glint), and data visualization tools (e.g. Power BI, Tableau). Proficiency in tools like SQL, Python, or R for data analysis. Experience in supporting setup of big data / data lake /data warehousing (e.g. GCP, AWS, Azure) for HR desirable. What We Offer You Looking to make a mark At Colt, youll make a difference. Because around here, we empower people. We dont tell you what to do. Instead, we employ people we trust, who come together across the globe to create intelligent solutions. Our global teams are full of ambitious, driven people, all working together towards one shared purpose: to put the power of the digital universe in the hands of our customers wherever, whenever and however they want. We give our people the opportunity to inspire and lead teams, and work on projects that connect people, cities, businesses, and ideas. We want you to help us change the world, for the better. Diversity and inclusion Inclusion and valuing diversity of thought and experience are at the heart of our culture here at Colt. From day one, youll be encouraged to be yourself because we believe thats what helps our people to thrive. We welcome people with diverse backgrounds and experiences, regardless of their gender identity or expression, sexual orientation, race, religion, disability, neurodiversity, age, marital status, pregnancy status, or place of birth. Most Recently We Have Signed the UN Women Empowerment Principles which guide our Gender Action Plan Trained 60 (and growing) Colties to be Mental Health First Aiders Please speak with a member of our recruitment team if you require adjustments to our recruitment process to support you. For more information about our Inclusion and Diversity agenda, visit our DEI pages. Benefits Our benefits support you through all parts of life, for both physical and mental health. Flexible working hours and the option to work from home. Extensive induction program with experienced mentors and buddies. Opportunities for further development and educational opportunities. Global Family Leave Policy. Employee Assistance Program. Internal inclusion & diversity employee networks. A global network When you join Colt you become part of our global network. We are proud of our colleagues and the stories and experience they bring take a look at Our People site including our Empowered Women in Tech. Show more Show less