Statistical Analyst Jobs in Chennai

Position: Quality Analyst Location: Chennai Designation: Quality Analyst Education: Any Graduate Job Description Call Auditing: Perform random audits on a specified number of calls daily to ensure compliance with quality standards. Feedback & Improvement: Provide timely, constructive feedback to agents, highlighting areas for improvement. Data Analysis: Conduct thorough data analysis to identify trends and take corrective actions to enhance process efficiency. Action Plan Development: Create and implement action plans to improve overall quality scores and team performance. Candidate Profile Experience: 1-4 years of experience in call auditing or as a Quality Analyst in a BPO/Call Center environment. Skills Excellent communication skills (multilingual skills are a plus). Strong analytical and problem-solving abilities to improve processes. Preference: Immediate joiners are highly preferred. Qualification : Any Graduate

Position: Data Scientist Experience: 2+ Years Type: Full-time Location: Chennai About the Role As a Data Scientist at FinnUp, you will transform raw data into actionable insights that drive strategic decisions. You will work with complex datasets, build predictive models, and collaborate closely with cross-functional teams. Your expertise in analytics engineering, combined with your proficiency in Python especially pandas data frames and dictionaries will be critical in optimizing data workflows and delivering impactful results. Key Responsibilities Analyze large, complex datasets to extract meaningful insights that support business decision-making. Develop, implement, and maintain predictive models and machine learning algorithms to solve key business problems. Use pandas extensively for data manipulation, analysis, and visualization. Work closely with product, marketing, and business teams to understand requirements and provide data-driven solutions. Design and implement scalable data pipelines and ELT processes to ensure data integrity and accuracy. Create insightful dashboards and reports using Metabase to communicate findings to stakeholders. Stay current with the latest trends, tools, and advancements in data science, AI, and analytics engineering. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or related field. 2-3 years of experience as a Data Scientist or in a similar analytical role. Strong proficiency in Python with deep experience in pandas, dictionaries, and other core data structures. Experience with data visualization tools, especially Metabase. Solid understanding of statistical analysis and machine learning methods. Ability to write efficient SQL queries for data extraction and manipulation. Excellent problem-solving skills with high attention to detail. Strong communication and collaboration skills. Preferred Qualifications Hands-on experience building and deploying machine learning models in production environments. Familiarity with cloud platforms such as AWS or Google Cloud. Knowledge of additional programming languages like R or Julia. Experience with other data visualization tools and libraries. Competitive salary and benefits package. Opportunities for professional growth and skill development. A collaborative, innovative, and supportive work environment. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or related field

Business Analyst Scrum Master Location: Chennai Employment Type: Full-Time Job Summary We are seeking a dynamic Business Analyst / Scrum Master to join our team in a hybrid role that bridges business needs with Agile execution. This position demands a proactive individual who can effectively gather and analyze requirements while also driving Agile ceremonies and team collaboration. The ideal candidate will enable efficient solution delivery by aligning stakeholders, refining product backlogs, and ensuring adherence to Agile best practices. Key Responsibilities Business Analysis Engage with stakeholders to gather, document, and analyze business and functional requirements Create detailed user stories, process flows, wireframes, and business cases Perform gap analysis and recommend improvements to existing processes or systems Collaborate with development teams to ensure technical solutions align with business objectives Define KPIs and success metrics for evaluating solution effectiveness Scrum Master Responsibilities Lead Agile ceremonies: Daily Stand-ups, Sprint Planning, Sprint Reviews, and Retrospectives Identify and remove impediments to keep teams moving efficiently Work with Product Owners to groom and prioritize the product backlog Track and report sprint progress using burn-down charts, velocity, and other Agile metrics Foster a culture of continuous improvement and Agile maturity Mentor team members on Agile and Scrum principles Required Skills & Qualifications 6 10 years of experience as a Business Analyst and/or Scrum Master Strong knowledge of Agile methodologies (Scrum, Kanban, SAFe) Proficiency in Agile project management tools: Jira, Confluence, Azure DevOps (preferred), or Trello Excellent communication, stakeholder management, and facilitation skills Proven ability to translate business requirements into actionable development tasks Solid understanding of SDLC and business process modeling Familiarity with SQL, data analysis, and tools like MS Excel, MS Word, etc. Scrum Master Certification (CSM, PSM) is a plus Business Analysis Certification (CBAP, CCBA) is a plus Preferred Qualifications Knowledge of DevOps practices and Agile scaling frameworks (e.g., SAFe, LeSS) Experience working in cross-functional Agile teams within fast-paced environments

Job Title: AR Analyst / Senior AR Analyst Experience Required: 1 5 Years Job Category: Billing Operations Job Location: Chennai Eligibility: Graduates from any stream About the Role: We are seeking a detail-oriented and self-motivated AR Analyst / Senior AR Analyst to join our Billing Operations team. The ideal candidate will have a strong understanding of provider billing, denial management, and Accounts Receivable (AR) processes, along with solid analytical and communication skills. Key Responsibilities: Manage accounts receivable follow-up for assigned payors effectively and independently. Analyze denials and take timely and appropriate action to resolve them. Work on correspondence, rejections, and appeal processes as needed. Apply knowledge of CPT, ICD, and Modifiers in analyzing and processing claims. Think analytically and use logical reasoning to troubleshoot AR issues. Ensure HIPAA compliance and maintain confidentiality of patient data. Collaborate with team members and contribute to achieving departmental goals. Required Skills: 1 5 years of experience in Accounts Receivable (AR) analysis within the provider billing domain. Strong verbal and written communication skills. Good interpersonal and team collaboration abilities. Proficiency in MS Office, especially Excel. Fast and accurate typing skills. Good computer literacy and system navigation skills. Preferred Qualifications: Exposure to correspondence and rejections is a plus. Understanding of modifiers, CPT, and ICD coding is essential. Qualification : Graduates from any stream

Position: Junior Manager MIS & Analytics Location: Chennai Experience Required: 2 7 years Education: Graduate / Postgraduate / MBA (any stream) Industry Preference: BFSI / NBFC Role Overview We are looking for a highly analytical and detail-oriented Junior Manager MIS & Analytics to support reporting, dashboard management, and data analysis activities. The role involves working closely with senior leadership and regional teams to drive data-based decision-making and ensure accuracy, timeliness, and usability of business reports. Key Responsibilities Collaborate with National Head, Zonal, State & Branch teams for data management and reporting needs. Gather and analyze business requirements for reports, dashboards, and data solutions. Support in transitioning legacy reports to modern BI tools or centralized systems. Ensure accurate and timely delivery of reports and dashboards across teams. Maintain and improve report performance and data availability for end-users. Provide ad-hoc analytical support and generate insights to support operational decisions. Follow and implement best practices in report design, data structuring, and process repeatability. Manage linear data analysis and maintain reporting precision with minimal supervision. Skills & Competencies Advanced Excel proficiency (including pivot tables, VLOOKUP, formulas, etc.) Strong command of the English language (verbal & written) Excellent data analysis, time management, and organizational skills High attention to detail and process accuracy Ability to prioritize tasks and work under pressure Effective communication and stakeholder management Collaborative team player with strong networking skills Preferred Qualifications Graduate or Postgraduate in any discipline (MBA preferred) 1 3 years of relevant experience in MIS reporting, preferably in BFSI or NBFC sectors Experience with BI tools, basic knowledge of data visualization platforms is a plus A data-centric role working directly with leadership across zones Opportunity to shape data practices and dashboarding for business teams Dynamic, fast-paced work environment with long-term career potential Qualification : Graduate / Postgraduate / MBA (any stream)

Senior Data Scientist AI/ML Location: Chennai About the Team Join the ZF Center of Excellence (COE) team, where we translate complex AI, Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL) concepts into impactful solutions. Our team communicates cutting-edge research insights to both technical and non-technical audiences, including presentations at conferences and publications in academic journals. What to Expect in this Role Conduct advanced research to develop innovative AI/ML methodologies, with a focus on DL and RL techniques. Design and execute experiments to validate new approaches and benchmark machine learning algorithms. Analyze complex datasets to discover hidden patterns that drive AI innovation. Stay current with the latest advancements in algorithms, tools, and theoretical frameworks, exploring areas such as model interpretability and efficient deep learning training. Prototype and evaluate advanced models like CNNs, RNNs, and other deep learning architectures. Develop foundational algorithms and frameworks applicable across diverse machine learning challenges. Focus on enhancing model efficiency, reducing bias, and improving explainability. Document research methods, experiments, and theoretical contributions to facilitate knowledge sharing. Shape the team s long-term research vision and strategic goals. Candidate Profile Master s degree in Mathematics, Computer Science, or related fields; PhD is a strong plus. 8+ years of research and development experience with deep knowledge of data structures and algorithms. 5+ years experience deploying ML models in production environments. Proficient with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with distributed computing and large-scale data processing systems. Strong communication and teamwork skills. Experience contributing to invention disclosures and intellectual property processes. Proven publication record in leading machine learning conferences or journals. Innovative Environment: Work at the forefront of technology with a culture that fosters creativity and continuous growth. Diverse & Inclusive Culture: Thrive in an environment that values diversity, equity, and mutual respect. Career Development: Benefit from extensive training, clear advancement paths, and global project opportunities. Global Presence: Collaborate with international teams and contribute to world-class driveline and chassis technologies. Sustainability Commitment: Play a role in eco-friendly initiatives and reducing environmental impact. Employee Well-being: Enjoy health and wellness programs, flexible work options, and a supportive work-life balance. Join Us Take your AI/ML expertise to the next level with ZF. Apply now for the Senior Data Scientist AI/ML role and contribute to shaping the future of mobility! Our Commitment to Diversity, Equity & Inclusion (DEI) At ZF, we are dedicated to building a culture of inclusion where diversity is celebrated. We work to remove barriers so every employee can thrive and contribute to our shared legacy of innovation and excellence. Qualification : Masters degree in Mathematics, Computer Science, or related fields; PhD is a strong plus

Job Title: Business Analyst Finance (Fresher, Chartered Accountant) Location: Chennai, India Employment Type: Full-Time Experience: Fresher Qualification: Chartered Accountant (CA) Mandatory Job Summary: Ramco Systems invites a proactive and analytical fresher Chartered Accountant to join our team as a Business Analyst Finance. This role is pivotal in managing the lifecycle of financial modules within our ERP system, covering product development, implementation, and post-go-live support. The ideal candidate will combine strong financial expertise with a passion for technology and excellent communication skills, helping align our products with client needs and industry standards. Key Responsibilities: Develop and maintain the product roadmap for ERP financial modules, aligning with business objectives and industry trends. Gather and analyze client financial requirements, translating them into detailed user stories, process flows, and technical specifications. Collaborate closely with product development teams to ensure compliance with accounting standards such as IFRS and GAAP. Drive end-to-end ERP finance module implementation including requirements gathering, data migration, user training, testing, and go-live support. Facilitate workshops and client interactions to document requirements and provide timely solutions. Assist in configuration, testing, and ensuring smooth integration of finance modules with procurement, HR, supply chain, and other ERP components. Develop user manuals, training materials, and conduct training sessions to empower users. Act as the key point of contact for all ERP finance module queries post-implementation. Stay abreast of evolving financial regulations, ERP technologies, and automation trends to recommend product improvements. Educational & Professional Qualifications: Chartered Accountant (CA) qualification is mandatory. Solid understanding of finance functions and operating models including General Ledger (GL), Accounts Payable (AP), Accounts Receivable (AR), Fixed Assets (FA), and Cash Management (CE). Familiarity with ERP systems and finance automation technologies preferred. Professional Skills: Passion for finance automation and emerging technologies. Exposure to client-facing roles or ERP implementation internships is a plus. Excellent verbal and written communication skills with strong facilitation and interpersonal abilities. Proven aptitude for working collaboratively in team settings and engaging effectively with clients. Highly motivated, adaptable, and capable of thriving in a fast-paced, dynamic environment. Willingness to travel internationally as required. Opportunity to work on cutting-edge ERP finance products and influence product development. Collaborative and energetic work culture focused on innovation. Exposure to global clients and cross-functional teams. Growth opportunities in a leading software solutions company.

Job Title: Data Scientist Company: Blackstraw.ai Job Location: Chennai (Work from Office) Job Type: Full-time Experience: 2 10 Years Job Summary: We are looking for Data Scientists to analyze large amounts of raw information to find patterns that will help improve our clients business. We will rely on you to build data products to extract valuable business insights. You will be part of our AI team in developing AI based products through the latest cutting edge technology. Key Responsibilities: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Communicate your findings to the appropriate teams through visualisations Collaborate and communicate findings to diverse stakeholders Provide solutions but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering, Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization. Follow/maintain an agile methodology for delivering on project milestones. Excellent oral, presentation, and written communication skills. Preferred Qualifications: Bachelors in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degree with ability to break complex business problems down to smaller more solvable parts. Minimum of 3+ years of experience in a related position, as a data scientist building predictive analytics or NLP or CV solutions for various types of business problems. Working knowledge of statistical techniques, NLP, machine learning algorithms and deep learning frameworks like Tensorflow, Pytorch, PySpark. Programming background and expertise in building models using at least one of the following languages: Python, R, C, C++, Spark, Scala. Good knowledge in the implementation of deep learning models for image classification, Document classification models, object detection, logo detection. Self-motivated and driven to deliver agreed results on-time. Company Profile: Conceptualized as far back as 2015, and commencing full-time operations in 2018, Blackstraw technologies Pvt Ltd. is a software products and services company specializing in Artificial Intelligence (AI) and Machine Learning solutions for various industries. We support businesses around the world, including North America, Europe and Asia, working to simplify AI implementation through our platform that expedites data labelling, AI model-training, and cloud or on-premise deployments. With more than 900 years of combined work-experience, the 250+-strong Blackstraw Team comprises various experts in the AI value chain. We are a fast-moving team that prides ourselves in rapidly identifying different use-cases and fine-tuning our products to suit specific business needs. We are focused on providing solutions related to computer vision, natural language processing, Data annotation tools for deep learning models, etc. To stay competitive in business, it is key for organizations to adopt and implement smart AI solutions and service offerings. However, most companies are unable to implement AI rapidly due to the complexity of existing solutions, inadequate data and cost implications. Our mission is to enable enterprises to adopt AI in an easier, cost-effective and time-efficient manner with a plug-and-play approach to their data. Blackstraw operations are based out of Canada, USA & India. Our head office is based in Florida. Qualification : Bachelors in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degree with ability to break complex business problems down to smaller more solvable parts.

Role: Assistant Manager Data Science Location: Chennai, Tamil Nadu, India Experience: 6 8 Years Employment Type: Permanent, Full-Time About the Role We are hiring an experienced Assistant Manager Data Science to join our dynamic analytics team in Chennai. This role requires 6 8 years of hands-on experience in data science, applied analytics, machine learning (ML), and statistical modeling. The ideal candidate will have a strong analytical mindset, excellent problem-solving abilities, and the ability to transform data into strategic business insights. Key Responsibilities Design and develop machine learning models and data analytics frameworks to solve real-world business problems. Apply statistical techniques to analyze structured and unstructured data. Write complex and optimized SQL queries to manage and extract data from large datasets. Build insightful and interactive dashboards and visualizations using tools like Tableau. Collaborate with cross-functional stakeholders to understand requirements and deliver data-driven solutions. Translate business challenges into analytical problems and structure approaches for resolution. Keep up-to-date with the latest trends in data science, artificial intelligence (AI), ML, and data visualization. Required Skills & Qualifications 5+ years of experience in data science, applied analytics, or machine learning. Strong command of Advanced SQL and hands-on experience with large-scale datasets. Proficient in Python for ML and statistical analysis. Expertise in data visualization, preferably with Tableau. Solid understanding of statistical methods, predictive modeling, and data interpretation. Excellent communication and stakeholder management skills. Analytical, detail-oriented, and innovative approach to problem-solving. Work on impactful and high-visibility data science projects. Be part of a collaborative and forward-thinking analytics team. Gain exposure to cutting-edge technologies and business strategies. Competitive salary and benefits package.

Job Title: Control Hardware Quality Engineer Experience: 4 to 6 Years Location: Chennai Company Overview: At Capgemini Engineering, a global leader in engineering services, we bring together a world-class team of engineers, scientists, and architects to assist the world s most innovative companies in unlocking their full potential. From autonomous vehicles to life-saving robots, our digital and software technology experts deliver groundbreaking R&D and engineering services across various industries. Join us for a dynamic career that s full of opportunities, where every day brings new challenges and ways to make an impact. Job Description: We are seeking a Control Hardware Quality Engineer who will be responsible for ensuring the integrity and functionality of hardware systems in line with industry standards and requirements. The ideal candidate will have experience interpreting electrical schematic diagrams and working with hardware components, such as MCCB, switchgear, circuit breakers, and cable harnesses. Key Responsibilities: Interpret and analyze electrical schematic diagrams, panels, cables, and components like MCCB, switchgear, and relays. Experience with UPS systems, backup solutions, batteries, DCN controls, CT modules, and network/electronic buses. Work with sensors (pressure, temperature, smoke), PLCs, and digital & analog components. Previous experience in commissioning and troubleshooting hardware systems is highly preferred. Apply knowledge of IEC, UL, and EN standards for hardware compliance. Experience with quality tools like DMAIC, DFSS is a plus. Investigate alarm triggers, identifying and diagnosing false messages. Collaborate with site technicians and design engineers to resolve failures reported from turbines in the field. Perform root cause analysis to identify issues and their impact on fleet performance. Align with stakeholders (module owners, service, construction, legal teams) to ensure effective communication and actions. Identify short-term and long-term solutions to mitigate failures. Lead the development and testing of improvement solutions. Prepare communication materials for customers and stakeholders regarding technical issues and solutions. Prioritize and address hardware failures, aiming for continuous improvements and reduced downtime. Preferred Qualifications: Field experience in the Wind Industry, particularly with Wind Turbine Generators (WTGs). Familiarity with DMAIC, Six Sigma, SCRUM, and gate models is highly advantageous. Basic knowledge of applying Q tools like DMAIC and DFSS for process improvement. Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world. As a member of Capgemini, you ll be part of a diverse and responsible team of 340,000 professionals across 50+ countries, driving tangible impact for enterprises and society. Capgemini offers end-to-end services, from strategy and design to engineering, powered by AI, cloud, and data solutions. With a strong 55+ year legacy and 22.5 billion in global revenues in 2023, Capgemini is a trusted partner for leading businesses worldwide.

About Comcast: Comcast is a Fortune 50 leader at the intersection of media and technology. With a focus on innovation, we create groundbreaking entertainment and online experiences for millions of customers worldwide. If you're passionate about teamwork, revolutionizing industries, and leading the future of media and technology, Comcast is the place to grow your career. Job Summary: The Data Analyst will work cross-functionally to collect, analyze, and model data to uncover trends and provide actionable insights. You'll support key business decisions through exploratory analysis, forecasting, and optimization. This role requires in-depth technical expertise, independent prioritization, and clear communication of findings to stakeholders. Core Responsibilities: Data Collection & Analysis: Work with business leaders to understand requirements and develop technical specifications. Retrieve, analyze, and summarize complex data from platforms like Teradata, SQL Server, Hadoop, and AWS. Identify relevant data sources and combine disparate datasets for actionable insights. Exploratory & Predictive Analysis: Conduct exploratory data analysis and hypothesis testing to uncover trends and drivers. Develop forecasting models for key business metrics such as sales and demand. Measure the impact of campaigns, features, or initiatives and identify opportunities for improvement. Visualization & Communication: Create narrative-driven presentations and effective data visualizations for executives and decision-makers. Communicate insights clearly and concisely to influence strategic business decisions. Innovation & Collaboration: Stay updated on trends in analytics, statistics, and machine learning, and apply them to solve business challenges. Promote a culture of knowledge sharing, healthy skepticism, and teamwork within the organization. Customer-Focused Approach: Drive results by integrating feedback from customers and employees via Comcast s Net Promoter System (NPS). Champion the customer experience and advocate for seamless digital interactions. Compliance & Accountability: Adhere to Comcast s Operating Principles and ensure regular, consistent, and punctual attendance. Fulfill additional duties as needed. Qualifications: Must-Have: Proven experience with big data platforms (e.g., Teradata, SQL Server, Hadoop, AWS). Strong proficiency in data analysis, hypothesis testing, and forecasting techniques. Ability to develop clear and compelling data visualizations and presentations. Exceptional problem-solving and independent judgment skills. Preferred: Knowledge of emerging analytics trends, statistics, and machine learning. Experience with business operating frameworks and a results-driven approach. Familiarity with Net Promoter System (NPS) feedback integration. Diversity & Inclusion: We believe diverse perspectives drive innovation and success. Growth-Oriented Culture: We foster an environment of learning and collaboration. Employee Benefits: Comprehensive benefits package, flexible schedules, and career development opportunities. Impactful Work: Be part of an organization that shapes the future of media and technology. Disclaimer: This description provides a general overview of the role. It is not intended to encompass all responsibilities or qualifications. Comcast is proud to be an equal-opportunity workplace, considering all applicants regardless of race, religion, gender, disability, or veteran status.

We are seeking a Senior Data Scientist with experience in various data science techniques, tools, and cloud providers. The ideal candidate will be responsible for designing, developing, and implementing cutting-edge data science models and machine learning algorithms to tackle complex problems in various domains. You will work closely with cross-functional teams to understand business requirements, identify opportunities for applying machine learning/deep learning/AI techniques, and deliver innovative solutions that push the boundaries of AI technology. This role requires a strong background in machine learning, deep learning, and computer vision, along with a passion for exploring and experimenting with state-of-the-art models. Responsibilities Design, develop, and implement novel data science models and machine learning algorithms that solve complex problems. This includes architectural design, data preprocessing, training, optimization, and evaluation of models Collaborate with data engineers and data scientists to collect, pre-process, and curate datasets suitable for training Train and fine-tune machine learning/deep learning models using large-scale datasets and distributed computing frameworks. Optimize models for performance, efficiency, and scalability Design and conduct experiments to evaluate the performance, robustness, and generalization of machine learning/deep learning models Use appropriate metrics and statistical analysis to measure and interpret results Prepare technical documentation, including model architecture, implementation details, and experimental results. Communicate findings, insights, and recommendations to both technical and non-technical stakeholders Requirements Bachelor s or master s degree in computer science, Data Science, Statistics, or related field 5 to 8 years of solid foundation in Machine Learning, Deep Learning, Computer Vision, NLP Proficiency in Python Experience Deep Learning frameworks like Tensorflow, Pytorch, Keras, Jax, etc Experience with pandas, scikit-learn, matplotlib, spacy, statsmodel, etc General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts Knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability Familiarity with cloud services (AWS, Google Cloud, Azure) Excellent written and verbal communication skills Nice to have Proficiency in Docker and Kubernetes We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or masters degree in computer science, Data Science, Statistics, or related field

About ICON: ICON is a world leader in clinical research, providing services to the pharmaceutical, biotechnology, and medical device industries. Our mission is to help improve patients' lives by accelerating the development of life-saving drugs and devices. ICON s commitment to diversity, performance, and development makes us an ideal place for talent to thrive and grow professionally. Role Overview: The Senior Clinical Data Science Programmer will focus on SQL development and visualization design within clinical data management. You will be responsible for designing data management reports, including Clean Patient Trackers, DM Metrics, and Coding Listings, as well as ensuring efficient data flow across various functions. You will collaborate across teams and organizations, using tools like Elluminate, Spotfire, Qlik, and Tableau, to deliver impactful reports and data insights. Key Responsibilities: Technical Data Management: Strong SQL skills in the context of clinical data management, including report generation and data visualization. Design, develop, and maintain Data Management Reports and Listings (Clean Patient Tracker, DM Metrics, Coding Listings). Have an in-depth understanding of end-to-end data flow in clinical data management. Create and manage technical specifications and documentation related to data reporting. Collaboration & Problem Solving: Work effectively in a matrix environment, collaborating across multiple functions and teams. Influence stakeholders and drive data management best practices without authority. Demonstrate leadership and contribute to conflict resolution, team building, and fostering a collaborative work environment. Compliance & Standards: Ensure compliance with Good Clinical Practices (GCP) and relevant regulations. Have strong knowledge of CDISC, SDTM standards, and ensure reports align with these standards. Visualization & Reporting: Lead visualization design and ensure the creation of clear, informative, and actionable data visualizations. Use Elluminate, Spotfire, Qlik, and Tableau to build and maintain dashboards and data visualizations that aid in clinical data analysis. Leadership & Communication: Provide clear and concise communication to stakeholders regarding data findings, issues, and resolutions. Demonstrate excellent problem-solving and conflict resolution skills, fostering strong working relationships. Required Qualifications: Life science graduation or equivalent. 5+ years of experience in clinical data management and programming. Strong expertise in SQL and data visualization tools such as Elluminate, Spotfire, Qlik, Tableau. In-depth experience with Data Management Reports and an understanding of the clinical data management environment. Strong knowledge of CDISC, SDTM standards. Excellent written and oral communication skills. Experience working in the biotechnology or pharmaceutical industry is highly preferred. Benefits of Working at ICON: Competitive salary with variable pay and recognition programs. Comprehensive benefits package: Health insurance, retirement planning, and more. Work-life balance initiatives including flexible country-specific benefits such as childcare vouchers, gym memberships, travel passes, and health assessments. Global Employee Assistance Programme offering 24-hour access to a global network of over 80,000 independent professionals. Life assurance and additional family-focused benefits. Why Choose ICON? At ICON, we believe our people are the key to our success. Join us and be a part of a dynamic, global team that fosters a culture of growth, development, and collaboration. If you are ready to take on an exciting role where you can make a direct impact on the advancement of clinical research, we would love to hear from you. How to Apply: If you're passionate about leveraging data to drive clinical insights and improve patient outcomes, apply now to join the ICON team. Qualification : 5+ years of experience in clinical data management and programming.

Department Name AT-GTEL, Chennai Job Title Senior Associate Scientist (Chem Analytical) Global Job levels Job Family Group: Research and Development Job Family: 093- Chemistry-Analytical Job Category: Research Job Level: R02 - Senior Associate Scientist Job Code: 602689 Management Level: J050 Reports to Group Lead Location(s) GTEL, IITM-RP. Job Summary ( Summarize the primary purpose & key accountabilities of the job function.) Responsible for Analytical Method development, Method Validation, Method transfer, Investigation, Regulatory support, Routine analytical and stability study support for API, Intermediates and different DP formulations. Job Responsibilities ( Indicate the primary responsibilities critical to the job function.) ROLE RESPONSIBILITIES Responsible to Perform all activities as per GxP He should adhere both quality and safety compliance according to organizational policies/procedures and regulatory guidance Should be able to perform trouble shooting of analytical challenges which includes method and machine. Responsible for development analytical methods and analytical method validation by UPLC, HPLC, GC, Dissolution for API, DP, Intermediate and Raw materials. Support the analytical activities of lab trial batches, feasibility batches, lab scale batches, stability batches, stability studies as per plan. Perform assessments of existing data packages, feasibilities and concluded remediation. Ensure technical output is compliant with all Global Training Curriculum for the Instrument operations, material handling and Certifications related to Quality Operations, Manufacturing and EHS. Work with the Quality Assurance and other cross functional teams to facilitate the consistent, disciplined execution of the LIR\ER\CAPA quality system ensuring the completeness and comprehensiveness of the assigned task. Ensures Compliances to local and corporate procedures and ensures all data packages are audit ready and transferable. Coordinate with cross functional teams to ensure timely execution and resolution of all Deliverable versus target milestones Qualifications/Skills: Education - Experience - Additional Requirements ( Indicate qualifications and skills that are necessary for performance of responsibilities including: education, relevant experience, licenses, certifications, and other job-related technical and managerial skills.) Requirements for all Global Job Levels PREFERRED QUALIFICATIONS M.Sc. in Chemistry/M.Pharm PREFERRED YEARS OF EXPERIENCE 3 to 6 years of Experience TYPE OF EXPERIENCE Experience in Analytical Research and Development, possesses knowledge of oral solid dosage forms, liquids, semisolids, and API. Understand regulatory expectations and possess exceptional expertise in data interpretation and scientific outputs. Hands on experience in handling HPLC, Dissolution, UV, GC and Wet Chemistry. Organizational Relationships: (Provide the primary groups or key role(s) that this role will interact with as a regular part of the job responsibilities. Include any external interactions as appropriate.) Small Molecule Technology Global Technology & Engineering Launch Excellence Pfizer Manufacturing Sites External Supply Global Supply Chain Regulatory Sciences Global EHS Procurement Pharmaceutical Sciences Small Molecule Contract Research, Development and Manufacturing Organizations Academic Institutes Not Applicable. Supervision Not Applicable. Work Location Assignment:On Premise Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Research and Development #LI-PFE Qualification : M.Sc. in Chemistry/M.Pharm

Business Intelligence Lead Experience: 6+ Years Location: Chennai Company: Kaleidofin About Kaleidofin Kaleidofin is a pioneering fintech platform creating a digital ecosystem to provide financial access for everyone, everywhere. Through our ki credit platform, we deliver credit health assessments, middleware integration, advanced risk management dashboards, and debt capital market structuring enabling financial institutions to serve underserved segments like women entrepreneurs, farmers, and MSMEs across India, Bangladesh, and Kenya. With over 6 million customers impacted and more than $3 billion facilitated in debt capital, Kaleidofin is backed by global investors including the Gates Foundation, Omidyar Network, and Blume Ventures. Recognized internationally by Forbes Asia and the United Nations, and winner of RBI s Swanari TechSprint and G20 TechSprint 2024, we are committed to innovation and impact. Role Overview We are seeking an experienced Business Intelligence Lead to drive data analytics and reporting efforts that inform strategic decisions across risk, credit, compliance, fraud detection, and product performance. The ideal candidate will bring strong leadership, a deep understanding of financial services data, and hands-on expertise in BI tools and data governance. Key Responsibilities Team Leadership & Development Lead and mentor the Data Analytics team; identify skill gaps and implement training plans. Data Analysis & Insights Leverage BI tools (Power BI, Tableau, Looker) to deliver actionable insights that drive business and partner strategies. Develop and optimize dashboards and reports aligned with business goals. Data Visualization & Reporting Create clear, interactive visualizations for diverse stakeholders, ensuring accessibility and timeliness. Manage robust data pipelines using ETL/ELT tools like Informatica, Talend, or Airflow. Collaboration & Stakeholder Management Partner with cross-functional teams to gather data requirements and support executive, regulatory, and product reporting needs. Present insights to senior leadership to promote data-driven decision-making. Process Improvement & Automation Automate routine reporting and continuously enhance BI tools and workflows for efficiency and accuracy. Data Governance & Compliance Maintain data quality standards and governance practices ensuring compliance with data privacy regulations. Interface with auditors and compliance teams as required. KPI Management Achieve >90% data accuracy through audits and corrections. Ensure >80% user adoption of BI products by monitoring engagement metrics. Deliver cost savings by evaluating BI-driven efficiency improvements. Who You Are Bachelor s or Master s degree in Computer Science, Data Science, Information Systems, or related fields. 6+ years in BI, analytics, or data architecture, with 3+ years in leadership or architect roles. Hands-on experience with BI platforms (Power BI, Tableau, Looker) and proficient in SQL querying. Strong knowledge of financial data domains: credit scoring, transactions, KYC, fraud, lending, payments. Experience with credit bureau data (Experian, Equifax, CRIF) preferred. Experience with cloud data platforms (AWS, GCP, Azure) and data warehousing concepts. Familiarity with machine learning applications in BI or data science is a plus. Relevant certifications such as Microsoft Data Analyst Associate or AWS Certified Data Analytics are advantageous. Join a high-impact team revolutionizing financial inclusion. Work with cutting-edge BI technologies in a fast-growing fintech startup. Thrive in a culture that values innovation, collaboration, and continuous learning. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Information Systems, or related fields

Job Title: Business Analyst / Functional EAM Location: Chennai, India (with travel) Experience: 3 to 6 Years Qualification: BE/B.Tech or Equivalent Job Purpose: The Business Analyst will manage assignments involving both functional and technical aspects, acting as a bridge between clients and internal teams. This role demands strong domain knowledge, particularly in Maintenance or Fleet Management, along with the ability to adapt and learn on both business and technology fronts. Key Responsibilities: Engage with clients to understand requirements and business processes via meetings and discussions. Collaborate closely with client teams and stakeholders for comprehensive business process mapping. Manage client relationships, including handling change requests, solution planning, and testing coordination. Define and document business functions and processes aligned with customer needs. Develop requirements for new systems and enhancements to existing ERP systems. Lead business process reengineering and improvement initiatives. Validate requirements and analysis models through reviews and walkthroughs. Support writing user acceptance test (UAT) cases and act as liaison between stakeholders and testing teams during UAT. Proactively identify opportunities to improve monitoring, detect issues early, and deliver enhanced customer value. Perform first-level defect analysis, coordinate with engineering teams on fixes, and plan deployments in production. Required Skills & Experience: 3 to 5+ years of solid domain experience in Maintenance or Fleet Management. Exposure to ERP applications and implementation experience preferred. Thorough understanding of end-to-end maintenance processes including Equipment Registration, Spare Parts Management, Work Logs, Preventive Maintenance, Work Orders, Clearance Permits, and Calibration. Strong documentation, specification, and problem-solving skills. Excellent verbal and written communication skills. Ability to work effectively with cross-functional teams. Willingness to travel domestically and internationally as per business needs. Competencies: Domain and industry knowledge relevant to EAM. Visual modeling and process mapping capabilities. Client engagement and stakeholder management. Analytical thinking and adaptability. Qualification : BE/B.Tech or Equivalent

Job Title: Business Analyst / Functional Consultant SCM Location: Chennai, India (with travel) Experience: 3 to 6 Years Qualification: BE/B.Tech or Equivalent Job Purpose: The Business Analyst / Functional Consultant will manage client assignments with a focus on Supply Chain Management (SCM) domain processes like Manufacturing, Procurement, Inventory, and Sales & Distribution. This role combines functional and technical expertise to understand client needs, translate requirements, and ensure successful ERP implementation and support. Key Responsibilities: Interface with clients to understand business requirements and processes through meetings and discussions. Collaborate closely with client teams and stakeholders to map overall business processes. Manage client relationships including change request management, solution planning, and testing coordination. Define and document customer business functions and processes accurately. Develop requirements for new system implementations and enhancements to existing ERP solutions ensuring fit-for-purpose design. Lead business process reengineering and improvement initiatives aligned to SCM domain. Validate requirements and analysis models via reviews and walkthroughs with project stakeholders. Support preparation and review of user acceptance test (UAT) cases; act as liaison during UAT execution. Continuously seek improvements in process monitoring, issue detection, and customer value delivery. Perform first-level defect analysis, coordinate fixes with engineering teams, and plan deployment in production environments. Required Skills & Experience: 3 to 5+ years of strong domain experience in Manufacturing, Procurement, Inventory, or Sales & Distribution within an ERP context. Thorough understanding of end-to-end processes such as Procure to Pay (P2P), Order to Cash (O2C), and Stores Administration. ERP implementation experience preferred. Excellent verbal and written communication skills. Willingness to travel nationally and internationally based on business requirements. Competencies: Strong documentation and specification skills. Ability to work collaboratively across cross-functional teams. Deep domain and industry knowledge in SCM. Proficient in problem-solving and visual modeling techniques. Strong client engagement and relationship management skills. Work Location: Chennai (Base location) with readiness for travel and relocation for short or long-term assignments across other locations/countries. Qualification : BE/B.Tech or Equivalent

Job Title: Business Architect/Senior Business Analyst Location: Chennai, India Job Type: Full Time CTC: Negotiable Posted on: 11/04/2025 Project Role Description: Define opportunities to create tangible business value for our banking clients by leading current state assessments and identifying high-level customer requirements, defining the business solutions and structures needed to realize these opportunities, and developing a business case to achieve the vision. Your typical day will involve conducting current state assessments, analyzing customer requirements, and collaborating with stakeholders to develop innovative business solutions. Must Have Skills: Finastra Fusion Global PAYplus (GPP) Good to Have Skills: Business Requirements Analysis Experience Requirement: Minimum 2 years of experience is required. Educational Qualification: 15 years full-time education. Responsibilities & Deliverables: Strong experience in Finastra GPP Product as Business Analyst. Should be aware of all flows and rules confirmation in GPP Application. Should have experience on GPP Business Rule/Profile configuration, GPP Logs reading, and exposure to important database tables. Read and understand requirement & solution documents. Should be able to do requirement analysis inline with Payment flows and GPP Applications for all clearings. Able to do GAP analysis and define solutions for GAPs. Configure GPP flows by using rules and system parameters available in GPP. Should be able to set up business entities, offices, and workflows independently. Simulation & Triage of issues raised by customers. Address functional queries from various stakeholders. Ability to create scalable and reusable functional solutions based on requirements/scope. Ability to create and maintain system, functional, and reference documentation. Ability to create requirement specifications based on Architecture / Design / Detailed Processes. Strong Analytical, Communication, Planning, and Coordination skills. Ability to collaborate with all stakeholders (lines of Business Units, vendor partners, technical implementation teams) to balance the complexities of technical implementation. Functional expertise in the relevant domain. For example, Faster Payments, RTGS, SEPA, ISO messaging standard in Payments domain. Detailed understanding of end-to-end Payments processing To/From Scheme SEPA/BACS/Faster/FedWire Payments is very useful.

Job Title: Process Analyst Procure to Pay (P2P) Location: Chennai Entity: IBM Consulting Introduction A career in IBM Consulting offers an opportunity to build long-term relationships and work closely with clients worldwide. In this role, you will be part of IBM BPO, leveraging agile methodologies, process mining, and AI-powered workflows to drive digital transformation. Working with visionaries across various industries, you will play a crucial role in enhancing the hybrid cloud and AI journey for some of the most innovative companies globally. IBM's vast technology portfolio, including IBM Software and Red Hat, provides you with the tools and strategic partnerships needed to create impactful solutions for clients. In this role, curiosity and a passion for knowledge are essential for success. You will have mentorship and coaching to encourage you to explore ideas outside of your immediate role, push boundaries, and make a meaningful impact for clients. Our culture prioritizes career growth, learning, and a supportive environment where your unique skills and experiences are valued. Your Role and Responsibilities As a Process Analyst Procure to Pay (P2P), you will be responsible for various financial tasks such as invoice processing, vendor master management, query resolution, and invoice reconciliation. Your role will also involve handling both manual and automatic payment requests. Flexibility to work in shifts is a key requirement for this position. Your primary responsibilities include: Invoice Processing: Recording and maintaining PO and Non-PO invoices, handling both manual and automatic payment requests. Vendor Master Management: Managing end-to-end vendor activities, including creation, changes, verification, cleansing, and identifying duplicate records. Stakeholder Collaboration: Coordinating with stakeholders for coding, approvals, and resolving blocked invoices. Ensuring timely posting in accounting software for payments and expenses. Travel and Expense Claims: Processing travel and expense claims, managing payments, addressing duplicate payment issues, recovering funds, and executing payment proposals. Adherence to SLAs: Ensuring compliance with client Service Level Agreements (SLAs) and meeting specified timelines. Required Education Bachelor s Degree in Commerce or related fields. Preferred Education Master s Degree Required Technical and Professional Expertise Commerce graduate with a minimum of 2-4 years of experience in Accounts Payable. Experience in Invoice and Vendor Management, along with resolving queries and conducting invoice reconciliation. Proven expertise in managing payment reporting and reconciliation activities. Preferred Technical and Professional Experience Proficiency in MS Office applications and experience using ERP software as an end-user. Self-directed, motivated, and able to meet targets effectively. Strong ability to thrive under deadlines, contribute to change management, and collaborate well with team members. How You ll Grow At IBM Consulting, you will be supported by mentors and coaches who will encourage you to challenge norms, investigate new ideas, and provide groundbreaking solutions. Your development is important to us, and you will have access to continuous learning opportunities in an environment that embraces your unique skills and experience. IBM is where you ll find unparalleled opportunities to grow and develop your career. If you re passionate about digital transformation and want to play a role in helping companies innovate and evolve, this is the place for you. Join IBM and be a part of a global team driving change. Qualification : Bachelors Degree in Commerce or related fields.

Job Title: Senior Analyst BFS (Mortgage Underwriting) Job Summary We are seeking a Senior Analyst BFS to support our Mortgage Underwriting process. This role involves analyzing loan parameters and borrower details, including income, credit, and assets, to determine loan eligibility. The candidate will be responsible for rendering credit decisions based on established criteria while ensuring compliance with Fair Lending and regulatory requirements. Key Responsibilities Mortgage Underwriting Support: Analyze borrower details, income, creditworthiness, and assets. Conduct income verification and employment validation. Perform credit history reviews, including bankruptcy, fraud alerts, foreclosures, and delinquencies. Evaluate collateral value and property specifications against loan terms and regulatory requirements. Decision-Making & Risk Assessment: Assess credit applications and determine borrower risk levels. Ensure compliance with Fair Lending and other regulatory guidelines. Apply prudent underwriting judgment based on industry best practices. Process & Compliance Management: Participate in planning and forecasting exercises with onshore and business associates. Prepare and analyze financial reports on costs and allocations. Ensure SLA compliance, report progress to clients, and run governance meetings. Act as the first escalation point for service delivery issues. Implement continuous process improvements to enhance efficiency. Team & Stakeholder Management: Conduct team meetings and address people-related concerns. Review deliverables on defined parameters for quality assurance. Required Skills & Experience Core Skills: Strong reading comprehension & analytical skills. Excellent decision-making and auditing skills. Knowledge of mortgage lending regulations. Strong logical reasoning and attention to detail. Additional Requirements: Bachelor s degree or equivalent experience. 4 to 6 years of banking experience, including 3+ years in residential Mortgage Underwriting (Conventional/FHA/VA loans). Ability to multitask, meet deadlines, and handle stress effectively. Willingness to work night shifts. Apply Now to join a team where your expertise in mortgage underwriting will make a significant impact!