Junior Data Analyst Jobs in Chennai

Position: Senior Quality Control Location: Chennai Department: Publishing Services Job Type: Full-time Industry: E-Publishing About Us At Kriyadocs, we simplify the entire publishing process from authoring and reviewing to distribution through our flagship platform. With over 15 years of experience, we support top-tier publishing houses globally with digital and print content, leveraging cutting-edge technology, streamlined workflows, and industry expertise. Our extensive services include copyediting, typesetting, project management, and more, delivering high-quality, publication-ready content. We re proud to partner with over 30 global customers, driving growth with a values-driven culture and a vision to be the world s preferred partner in knowledge sharing. What It s Like to Work Here At Kriyadocs, we re more than a team we re Kriyators. Our culture is built on a foundation of: Delivering Excellence, Delivering Delight Staying Curious, Staying Driven Dreaming Big, Rising Together You ll thrive here if you re: Fearless in embracing challenges Focused on learning, improving, and driving successful outcomes Passionate about taking ownership of your work with pride Cloud-Based Innovation: We re a SaaS company creating products powered by the latest in Machine Learning (ML) and Artificial Intelligence (AI). Global Exposure: Work with international customers and teams, gaining experience in a fast-evolving global market. Impactful Work: We offer you the chance to bring your ideas to life and create meaningful experiences for our clients. Agile & Collaborative Environment: Join a dynamic, growing team that values learning, quality, and ownership. Role Overview We re looking for a skilled Senior Quality Controller to ensure that our published materials meet the highest standards of quality and accuracy. You ll work closely with production teams to review manuscripts, proofs, and final outputs, ensuring compliance with publishing guidelines and company standards. This role demands expertise in quality control processes and the ability to collaborate across departments to improve overall output. What You ll Do Review manuscripts, proofs, and final materials for accuracy, consistency, and adherence to publisher guidelines. Provide constructive feedback to production teams to enhance the overall quality of published materials. Ensure all work meets established publishing standards and guidelines. Address and resolve any quality control issues that arise during the publishing process. Track and analyze quality control metrics to identify opportunities for improvement. Mentor and train junior staff as required, helping them grow in their roles. Collaborate with various publishing teams to ensure alignment with quality control processes and company objectives. Develop and implement robust quality control procedures for all published materials. Skills & Experience Minimum 3-4 years of experience in typesetting and e-publishing, with strong knowledge of book quality control processes. Expertise in reviewing styles, layout consistency, and ensuring corrections from authors and publishers are accurately implemented post-page proofs. Proficiency with proofreading symbols, math typesetting, scientific notations, and equation formatting. Strong analytical thinking and attention to detail in project evaluation. In-depth understanding of typography and typesetting standards. Experience with printer quality control, preflight reports, and document comparison processes. Advanced proficiency in MS Office and Adobe Acrobat Professional. Able to work independently as well as collaboratively within a team. Excellent organizational skills with a keen eye for detail. Flexibility to manage a variety of projects simultaneously. Experience in journal publishing is a plus.

Position: Senior Data Conversion Specialist Location: Chennai Department: Publishing Services Job Type: Full-time Industry: E-Publishing About Us At Kriyadocs , we ve partnered with prestigious publishing houses around the world for over 15 years, delivering world-class digital and print content. By leveraging cutting-edge technology, streamlined processes, and deep domain expertise, we simplify publishing workflows from authoring to distribution. Our peer review and production platforms are complemented by services like copyediting, typesetting, and project & author management. Our mission is to create outstanding experiences for authors, publishers, and employees through innovation and technology, helping bring authors work to life and share it with the world. We re driven by a passion for customer-first solutions, and we empower our team to take on challenges, exchange knowledge, and enrich processes across the publishing ecosystem. What It s Like to Work Here We re a fast-growing team of smart, enthusiastic individuals with a can-do attitude. We believe in: Customer-First: We put our customers at the heart of everything we do. Continuous Learning: We embrace innovation and encourage growth. Collaboration: We work as a team, solving challenges together. If you're looking for a place where you can make a real impact, come join us! Role Overview We re looking for an experienced Senior Data Conversion Specialist to join our dynamic team. You ll be responsible for converting content into various formats, ensuring high-quality deliverables while adhering to tight deadlines. Your role involves working with XML, digital technologies, and conversion tools, while collaborating with internal teams and clients to resolve issues and meet project goals. Key Responsibilities Meet daily benchmarks and ensure timely project delivery. Ensure there are no escalations or complaints from internal or external stakeholders. Maintain accurate project records and documentation. Communicate product-related issues with detailed information and improvement suggestions. Use appropriate tools to ensure the quality of delivered content. Deliver final files to clients on specified platforms in a timely manner. Adhere to client Service Level Agreements (SLAs). Evaluate and onboard freelancers/vendors as needed. Study and understand client requirements, create instruction documents, and produce conversion samples. Analyze customer requirements to define tool requirements and document for automation. Work independently or in a team to meet tight deadlines. Skills & Experience Strong knowledge of XML, including both book and journal XML formats. Hands-on experience working with DTD, MathML, and XML editors (Epsilon, XML Exchanger, Oxygen XML, Notepad++, etc.). Familiarity with digital technologies such as XPath, XSLT, Schema, and ePub. Experience with third-party deliverables like PubMed, PMC, Ingenta, HighWire, Atypon, and Crossref. Excellent communication, problem-solving, and analytical skills. Strong attention to detail, ability to maintain quality under pressure, and a proactive learning attitude. Eligibility Criteria Role: Senior Data Conversion Specialist Location: Chennai Experience: 5+ years of related experience in data conversion or a similar field. Qualification: Bachelor's degree preferred. Equivalent years of experience may be considered in lieu of a degree. Qualification : Bachelor's degree preferred

Role: Senior Relationship Manager Wealth Manager Location: Chennai Experience Required: 6 8 Years Job Type: Full-Time About Scripbox Founded in 2012, Scripbox is India s leading Digital Wealth Management platform. Our mission is simple: to demystify investing using technology, data, and science. With a customer-first approach, we guide individuals through their investment journey, helping them build wealth and achieve long-term financial goals. Be a Change-Maker: Join a company that s transforming wealth management through technology and innovation. Drive Real Impact: Play a strategic role in scaling a high-growth business channel. Collaborate & Innovate: Be part of a team that thrives on ownership, collaboration, and continuous learning. Empower Financial Futures: Help clients make confident, informed decisions about their wealth. Grow Your Career: We invest in our people your growth matters as much as our success. Role Overview As a Senior Relationship Manager Wealth Manager, you ll manage a portfolio of high-net-worth clients, delivering personalized financial advice and wealth planning. You ll also lead and mentor a team of Junior and Trainee Relationship Managers, helping them excel while contributing to strategic business growth. Key Responsibilities Client Portfolio Management Serve as the lead advisor for a portfolio of HNI clients, offering tailored investment strategies. Conduct deep-dive financial planning, goal-based asset allocation, and risk profiling. Handle complex financial situations, guiding clients through volatile markets and critical decisions. Team Leadership Coach and mentor Junior and Trainee RMs, promoting a high-performance, client-first culture. Conduct regular feedback sessions and performance reviews. Ensure adherence to Scripbox s standards of credibility, reliability, and trust. Business Growth & Strategy Drive growth in Net AUA by deepening relationships and securing referrals. Initiate and implement strategies to enhance client experience and operational processes. Represent Scripbox at client events, industry forums, and thought leadership platforms. Who We re Looking For Experience & Qualifications 7+ years in wealth management or a related financial advisory role. Proven experience in team management or mentoring roles. Bachelor s degree (Finance/Economics preferred). Advanced certifications such as CFP or CFA Level 2/3 are highly preferred. Skills & Competencies Strong expertise in financial planning, mutual funds, portfolio structuring, and client engagement. Exceptional communication and relationship-building skills. High emotional intelligence and empathy, with the ability to earn trust and build lasting client relationships. Strategic thinking with a sharp focus on growth, efficiency, and team excellence. Career Path This role offers clear growth opportunities into Regional Manager and senior leadership roles within Scripbox s Wealth Management division. Qualification : Bachelors degree (Finance/Economics preferred)

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

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)

Job Title: Senior Functional Consultant I Location: Chennai, India Experience: 4+ years Qualification: Bachelor s Degree and Master s Degree (preferred) Job Summary: The Senior Functional Consultant will be responsible for end-to-end solution design, configuration, testing, deployment, training, and support of HR & Payroll products. The role requires excellent communication skills to engage with internal teams, customers, and stakeholders. The candidate should have strong domain knowledge in HR & Payroll, experience with multiple modules, and the ability to manage project deliverables under tight deadlines, including willingness to support ANZ time zones. Key Responsibilities: Design & Documentation: Conduct solution design workshops; prepare design documentation such as Solution Design Document (SDD), Process Flow Sheets (PFS), and integration documents. Collaborate with Center of Excellence (COE), Product, and Product Backlog (PB) teams for customer requirements. Conduct solution playback sessions. Provide knowledge transfer (KT) to Operations teams to prepare process books. Configuration & Engineering: Configure the product based on finalized design documents. Test configurations and customizations thoroughly. Deploy and package configured solutions/customizations/data for migration to subsequent environments. Training: Conduct user training sessions using standard or customized training materials aligned with the solution. Testing & UAT Support: Assist customers in developing test cases and data. Triage and resolve issues raised during testing. Coordinate with COE/Product/PB teams for new requirements. Prepare updated solutions and data for deployment to next environments. Parallel Run & Go-Live Support: Provide KT to Operations teams for parallel run initiation. Assist customers with parallel run strategies. Address issues raised by customers and Operations teams. Collaborate on production cut-over plans with Project Managers. Update SDD documents during Go-Live and Hypercare. Provide BAU support during Hypercare phase. Transition: Prepare transition checklists. Deliver KT sessions to Support teams. Product & Domain Expertise: Experience with HR & Payroll products with at least 3-4 full lifecycle implementations. Strong knowledge of at least 3 modules apart from Payroll (e.g., Core HR, Employee Information, Leave, Time Management, Compensation Planning, Expense). Good understanding of AU & NZ statutory requirements (at least one region). Preferably experience with Workday (WD), SuccessFactors (SF), and Oracle integrations. Basic understanding of integration systems and architecture. Demonstrated domain knowledge of HR and Payroll processes. Implementation & Methodology: Document test cases for configured solutions and customizations; support system and user acceptance testing to ensure quality. Independently conduct requirement gathering sessions, solution demos, and data migration activities. Ensure adherence to RAMCO MAGNA Enterprise Methodology. Assist project/program managers in drafting Entry, Exit, and Acceptance Criteria. Coordinate with product teams on bug tracking, feature requests, and roadmap items. Ensure timely submission of deliverables following governance processes. Provide knowledge transfers and handovers to support teams. Adhere strictly to Statement of Work (SOW), contractual, and management commitments. Mentor and guide junior consultants on product knowledge and processes. Other Requirements: Strong verbal and written communication skills to represent product and solutions to internal and external stakeholders. Ability to work under pressure and meet strict timelines. Willingness to work extended hours / support ANZ time zone as required. Qualification : Bachelors Degree and Masters Degree (preferred)

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 Overview Senior Engineer - Data Engineering in the Automotive domain with 3-7 years of experience Extensive expertise in pyspark, hadoop, and gcp for designing and implementing data pipelines Proficient in tensorflow, python, and SQL for automation, data quality, and optimization Skilled in big data technologies like numpy, pandas, and data manipulation Responsible for architecting scalable data pipelines, data transformation, performance optimization, monitoring, and collaboration with cross-functional teams Bachelor's degree in Computer Science or equivalent; preferred certifications include Professional Data Engineer and Google Cloud Certified - Professional Data Engineer Good to have experience with CI/CD practices, data processing libraries, data quality, Pub/Sub architectures, and Tekton pipelines management Roles & Responsibilities Architect and Develop Data Pipelines: Lead the design, development, and maintenance of scalable and efficient data pipelines using GCP services like Pub/Sub for real-time data ingestion and BigQuery for storage and analysis. Data Transformation and Processing: Implement data transformation processes to cleanse, enrich, and aggregate raw data from diverse sources, ensuring data quality and consistency. Performance Optimization: Fine-tune data pipelines and queries to enhance performance, reduce latency, and ensure timely data access for stakeholders. Monitoring and Maintenance: Implement monitoring solutions for tracking pipeline performance, addressing issues proactively, and conducting regular maintenance tasks to uphold data infrastructure reliability. Collaboration: Collaborate with Data Scientists, Software Engineers, and Business Analysts to understand data requirements and provide technical solutions to meet business needs. Documentation: Document data pipelines, processes, and best practices to facilitate knowledge sharing and maintain a comprehensive understanding of data architecture. Our ideal candidate Extensive knowledge and proficiency in pyspark, hadoop, and gcp Advanced skills in designing and implementing data pipelines, data modeling, and data warehousing solutions Proficiency in tensorflow and python for automation scripts and data quality Strong SQL skills for querying and optimizing data warehouse operations Expertise in big data technologies like numpy, pandas, and libraries for data manipulation and analysis Monitoring data processes, utilizing GCP services, and implementing data engineering best practices Prioritizing skills in GCP, BigQuery, Python, Data Modeling, SQL, and Data Warehousing Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or a Master of Technology (M.Tech) in Data Science or Big Data Analytics Certifications such as Professional Data Engineer and Google Cloud Certified - Professional Data Engineer preferred Company overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.Altimetrik helps get companies get unstuck . We re a technology company that lives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organization s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or a Master of Technology (M.Tech) in Data Science or Big Data Analytics

Job Summary: We are seeking a skilled Procurement and Supply Chain Analyst to assist in procurement and supply chain data analysis to support decision-making and enhance operational efficiency. The ideal candidate will possess experience in PR creation, expedition, processing, and customer support while supporting supplier interactions, contract administration, and data reporting. This role will involve collaborating with the procurement team on a variety of tasks and contributing to the tracking and reporting of departmental KPIs. Key Responsibilities: Assist in procurement and supply chain data analysis to provide actionable insights for decision-making. Support PR creation, expedition, and processing, ensuring smooth operations and timely customer support. Collaborate with the procurement team to efficiently handle tasks related to procurement and supplier interactions. Contribute to tracking and reporting KPIs, ensuring department goals and objectives are being met. Stay informed about industry trends and regulatory changes that impact procurement and supply chain practices. Basic Qualifications: Bachelor s degree in a relevant field or equivalent combination of education and experience. 2+ years of relevant experience in procurement and supply chain. Proven experience in data analysis and procurement support. Strong data-driven decision-making skills and effective communication with vendors. A continuous learner who stays updated with industry knowledge and technology advancements. Other Qualifications: Advanced degree in a relevant field is a plus. Relevant certifications in data analysis or procurement are a plus. Why Join Us? This is an exciting opportunity to contribute to the procurement and supply chain process while enhancing your skills in data analysis and supplier management. If you are a proactive individual with a strong background in procurement support and data analysis, this role will allow you to grow in a dynamic and ever-evolving industry. Qualification : Bachelor's degree in a relevant field or equivalent combination of education and experience.

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.

About Arcadia: Arcadia is at the forefront of the clean energy revolution, offering innovative software and APIs to help fight the climate crisis. Since its inception in 2014, Arcadia has been on a mission to break the fossil fuel monopoly and unlock decarbonization by connecting consumers and businesses to high-quality clean energy options. With the launch of the Arcadia Platform, an industry-defining SaaS platform, Arcadia is accelerating the transformation from an analog energy system to a digitized network. Arcadia s impact continues to grow, with a $1B valuation and over $500M in capital raised. Role Overview: As a Customer Service Representative at Arcadia, you will play a pivotal role in delivering exceptional customer support. This position requires someone with a passion for technology and clean energy, as you will engage with customers, troubleshoot issues, and help navigate them through energy solutions. If you thrive in a fast-paced environment and enjoy solving complex problems, this role is an ideal fit. Key Responsibilities: Provide outstanding customer support by answering queries and resolving issues via phone and online platforms. Investigate and troubleshoot issues, especially related to utility company accounts and clean energy options. Make phone calls to US utility companies to enroll new accounts or fix broken credentials. Conduct data analysis in MS Excel/Google Sheets to monitor customer accounts. Collaborate with engineers and other team members to address customer issues and improve product offerings. Ensure all customer issues are addressed in a timely, accurate, and efficient manner. Required Qualifications: Fluent English speaker (Level C1 or higher), with strong verbal and written communication skills. 1-2 years of customer service experience, preferably supporting customers via phone. Strong attention to detail and problem-solving skills, with good investigative instincts. Basic proficiency in MS Excel/Google Sheets for data analysis. Availability to work from 7 am - 4 pm ET. What Arcadia Offers: Competitive compensation based on market standards. Hybrid work model with a remote-first policy. Flexible leave policy to accommodate personal needs. Comprehensive medical insurance (1+5 family members), accident coverage, and life insurance. Annual performance cycle with opportunities for rewards and recognition. Quarterly team engagement activities and learning and development programs. A supportive engineering culture that values diversity, empathy, teamwork, trust, and efficiency. Why Arcadia? Arcadia believes in diversity and individuality, where unique perspectives are valued. If you're passionate about clean energy and want to be part of a team working toward a decarbonized energy grid, Arcadia is the place for you. We foster an inclusive environment where every team member has the opportunity to grow and make a tangible impact. How to Apply: If you are eager to contribute to a clean energy future and enjoy engaging with cutting-edge technology, apply to join Arcadia s team. We re excited to learn how you can help us shape the future of energy.

About Arcadia: Arcadia is a cutting-edge technology company on a mission to fight the climate crisis by empowering energy innovators and consumers. Our software and APIs are revolutionizing the outdated energy industry, unlocking access to clean energy data, and contributing to a decarbonized energy grid. Since our founding in 2014, we've been working to break the fossil fuel monopoly and provide clean energy options to consumers and small businesses. Today, we ve launched Arcadia Platform, an industry-defining SaaS solution that is transforming the energy landscape into a data-driven, digitized network. With a $1.5B valuation and $380 million in funding, we are committed to expanding access to clean energy, and we are building a diverse team to help us tackle one of the world s most significant challenges. Join us as we scale and innovate for a better, cleaner future. What We re Looking For: We re seeking a Full Stack Engineer who is resourceful, versatile, and passionate about building software that expands renewable energy access to millions of households. The ideal candidate will be a team player who approaches problems from a holistic perspective and is excited to explore new domains when conventional methods fall short. You should have a strong ability to iterate, collaborate with various teams, and adapt quickly to a fast-paced, changing regulatory landscape. This role is based in Chennai, India, with a hybrid remote-first approach, and offers the opportunity to work with cutting-edge technology and contribute to shaping how the energy industry evolves. What You'll Do: Collaborate across teams: Work closely with Product, Design, Marketing, and Analytics to build the best possible product for members and enterprise partners. Develop robust, scalable back-end systems: Design and develop scalable back-end systems for high-availability applications. Build and maintain APIs: Create secure, complex APIs that allow seamless communication between back-end and front-end applications. Create performant front-end applications: Develop front-end applications that are both highly performant and user-friendly. Deploy frequently: Use a streamlined CI/CD pipeline to deploy new features to production regularly. Explore new technologies: Stay open-minded and explore new technologies with your team to improve and evolve the platform. Improve reliability: Increase test coverage and troubleshoot production issues. Mentor junior engineers: Provide guidance, code reviews, and constructive feedback to junior engineers, fostering their professional growth. Drive continuous improvement: Identify and suggest opportunities for improvements that enhance both the user and developer experience. What Will Help You Succeed: We are looking for someone with experience across the full stack, but you don't need to match every technology listed. The following qualifications will help you thrive in this role: 8+ years of experience in a software engineering role, building high-availability, large-scale web applications. Strong communication skills and the ability to clearly translate technical concepts to non-technical stakeholders. Mentorship experience with a proven track record of providing constructive feedback during code and design reviews. Ability to architect, scope, prioritize, estimate, and deliver projects while balancing speed with quality. Familiarity with programming languages such as: Ruby JavaScript/TypeScript SQL Experience with back-end frameworks and platforms such as: Ruby on Rails Apollo (GraphQL) Front-end framework experience, especially: React NextJS Familiarity with infrastructure technologies like: Postgres or other relational databases Docker AWS (Lambda, SQS, etc.) CloudFormation Passion for sustainability and a drive to contribute to a clean energy future. Benefits: Competitive compensation based on market standards. Flexible leave policy to promote work-life balance. Medical insurance for you and your family (up to 6 members), including accident and life insurance. Annual performance reviews, rewards, and recognition for achievements. Quarterly team engagement activities to foster camaraderie and team spirit. Learning & Development programs to support professional growth. A supportive engineering culture that values diversity, empathy, teamwork, trust, and efficiency. Why Arcadia? Arcadia celebrates diversity and individuality, believing that unique perspectives are crucial to achieving success in our mission to create a clean energy future. We are committed to equal employment opportunities and welcome applicants regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any other status protected by law. While we are currently unable to consider candidates who will require visa sponsorship, we encourage all qualified candidates eligible to work in India to apply. We are committed to providing reasonable accommodations for individuals with disabilities during the application or interview process. Please contact us to request an accommodation. How to Apply: If you are passionate about our mission and excited to contribute your skills to the clean energy movement, we invite you to apply. We look forward to learning what you will uniquely bring to Arcadia!

Job Title: Cyber Security Reporting Analyst Career Level -D2 Introduction to role We are seeking a highly skilled and motivated Cyber Security Data Analyst to join our dynamic Cyber Security Risk & Reporting team. The successful candidate will have extensive experience in Power BI reporting, ETL (Extract, Transform, Load) processes, and AWS S3, and will be responsible for designing, developing, and maintaining our Cyber Security Reporting suite, enabling data-driven decision-making by our senior leaders. This role requires close collaboration with colleagues both within Cyber Security and IT functions across AstraZeneca s Enterprise Services and Business Technology Groups (BTGs). Accountabilities Data Analysis: Perform data analysis to identify trends, patterns, and anomalies. Work with large datasets to extract meaningful information and provide recommendations. Collaborate with business units to understand their data needs and deliver solutions accordingly. ETL Processes: Design, develop, and maintain ETL workflows to extract data from various sources, transform it according to business requirements, and load it into target systems. Ensure data integrity and quality throughout the ETL process. Fix, communicate, and support resolution of any ETL-related issues. Aws s3: Apply AWS S3 for data storage and management. Ensure effective data transfer and integration between AWS S3 and other data systems. Handle and maintain data security and access controls in AWS S3. Power BI Reporting: Develop, design, and maintain interactive Power BI dashboards and reports. Create data visualizations that provide actionable insights to stakeholders. Optimize Power BI models for performance and usability. Collaboration and Communication: Work closely with data and process owners, and business stakeholders to evaluate reporting needs. Communicate findings and insights effectively through presentations and reports. Deliver training and support to users on Power BI and data analysis techniques. Essential Skills/Experience A Bachelor s degree in Data Science, Computer Science, Information Technology, or a related field. 2 years+ experience as a Data Analyst or in a similar role within an IT capacity. High proficiency in Power BI, including DAX, Power Query, and the creation of complex data visualizations. Strong ETL (Extract, Transform, and Load) skills, with experience in tools such as SQL Server Integration Services (SSIS), Informatica, Talend, or similar. Experience using Power Automate to streamline repetitive processes. Experience with AWS S3 for data storage and integration. Solid understanding of databases and SQL. Ability to communicate at multiple levels within an organization and to confidently talk to and represent data sets. Skills and Capabilities Excellent analytical and problem-solving skills. Strong written and verbal communication skills along with the proven ability to present complex, technical information to both technical and non-technical audiences. Experience of autonomous working with direction and goal setting and ability to prioritize, re-schedule and adapt to changes in a dynamic environment. Be valued and respected for teamwork, integrity, and enablement. Desirable Skills/Experience Knowledge of cloud-based data warehousing solutions such as Azure Data Factory or AWS Glue. Familiarity with programming languages such as Python or R. Experience providing and delivering reports and metrics across multiple functions. Knowledge of presentation skills and styles. Experience in the pharmaceutical or healthcare industry. Experience of working in other IT disciplines and across a range of industries and sectors. Experience working in a global organization where stakeholders and team members are geographically dispersed. Qualification : Job Title: Cyber Security Reporting Analyst Career Level -D2 Introduction to role We are seeking a highly skilled and motivated Cyber Security Data Analyst to join our dynamic Cyber Security Risk & Reporting team. The successful candidate will have extensive experience in Power BI reporting, ETL (Extract, Transform, Load) processes, and AWS S3, and will be responsible for designing, developing, and maintaining our Cyber Security Reporting suite, enabling data-driven decision-making by our senior leaders. This role requires close collaboration with colleagues both within Cyber Security and IT functions across AstraZenecas Enterprise Services and Business Technology Groups (BTGs). Accountabilities Data Analysis: Perform data analysis to identify trends, patterns, and anomalies. Work with large datasets to extract meaningful information and provide recommendations. Collaborate with business units to understand their data needs and deliver solutions accordingly. ETL Processes: Design, develop, and maintain ETL workflows to extract data from various sources, transform it according to business requirements, and load it into target systems. Ensure data integrity and quality throughout the ETL process. Fix, communicate, and support resolution of any ETL-related issues. Aws s3: Apply AWS S3 for data storage and management. Ensure effective data transfer and integration between AWS S3 and other data systems. Handle and maintain data security and access controls in AWS S3. Power BI Reporting: Develop, design, and maintain interactive Power BI dashboards and reports. Create data visualizations that provide actionable insights to stakeholders. Optimize Power BI models for performance and usability. Collaboration and Communication: Work closely with data and process owners, and business stakeholders to evaluate reporting needs. Communicate findings and insights effectively through presentations and reports. Deliver training and support to users on Power BI and data analysis techniques. Essential Skills/Experience A Bachelors degree in Data Science, Computer Science, Information Technology, or a related field. 2 years+ experience as a Data Analyst or in a similar role within...

Ecommerce Executive / Specialist Department: Ecommerce Location: Chennai Type: Full-time Overview We are seeking a results-driven Ecommerce Executive/Specialist to manage Zebronics online category portfolio across multiple marketplaces. The role focuses on driving sales growth, improving product visibility, executing campaigns, and ensuring operational efficiency across platforms such as Amazon, Flipkart, and other e-commerce channels. The ideal candidate combines analytical skills with strong operational execution to manage multiple SKUs and categories effectively. Key Responsibilities Manage Zebronics category portfolio across e-commerce platforms, ensuring high product visibility and sales performance. Develop and execute platform-specific sales strategies to drive conversions, traffic, and category growth. Coordinate with platform category managers to plan and execute promotions, deals, and campaigns aligned with business goals. Maintain product data accuracy across platforms, updating specifications, images, and new product launches. Monitor and improve content scorecards as per platform guidelines to enhance product visibility and rankings. Plan and implement pricing strategies, discounts, and seasonal campaigns to maximize sales and profitability. Track category-level P&L, analyze spend versus ROI, and ensure profitability while achieving sales targets. Collaborate with finance teams to reconcile claims, commissions, and promotional spends with marketplaces. Analyze sales data, traffic, conversion rates, and platform metrics to identify trends, opportunities, and areas for improvement. Prepare and present weekly/monthly performance reports with insights on sales, growth, and competitive benchmarking. Recommend strategic adjustments to improve revenue and operational efficiency. Work closely with marketing, inventory, finance, and logistics teams to ensure smooth campaign execution and stock management. Liaise with marketplace representatives to resolve operational issues and ensure compliance with platform SLAs and policies. Required Skills & Competencies Strong knowledge of category management, product listing, and e-commerce operations across multiple platforms. Proven experience managing multiple SKUs and ensuring operational efficiency in a fast-paced e-commerce environment. Proficiency in MS Excel (Pivot Tables, VLOOKUP, Data Analysis) for reporting and performance tracking. Strong communication and stakeholder management skills. Ability to multitask, prioritize, and manage multiple projects simultaneously. Analytical mindset with a deep understanding of online consumer behavior and sales funnel optimization.

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

CRM Executive Location: Chennai Position Summary We are looking for a proactive CRM Executive to manage customer relationships throughout the post-sales process. This role involves maintaining effective communication with clients, coordinating with internal departments, and ensuring timely documentation, updates, and handovers. The ideal candidate will be customer-focused, organized, and experienced in using CRM or ERP systems to drive customer satisfaction and retention. Key Responsibilities Coordinate all post-sale documentation, including booking forms, KYC collection, and cost sheet confirmations. Conduct customer welcome calls/emails and share receipts, project documents, and key updates. Maintain and update CRM/ERP systems for lead management, project tracking, and payment schedules. Collaborate with the legal team and customers to prepare and process agreements. Assist customers in home loan processing by coordinating with banks and preparing necessary documentation. Generate demand letters based on construction milestones and follow up for stage-wise payments. Handle customer complaints and queries with professionalism, ensuring timely acknowledgment and resolution. Organize joint inspections, manage snag point resolutions, and facilitate final payment collection. Lead the final handover process, ensuring all documentation is complete and communication is clear. Qualifications Bachelor's degree in Business Administration, Sales, or a related field. Strong time management and organizational skills. Basic understanding of project management processes. Candidate Profile Familiarity with sales and negotiation techniques. Hands-on experience with CRM/ERP systems. Effective negotiation and communication skills. Ability to thrive in a high-pressure, deadline-driven environment. Strong relationship-building skills both with clients and internal teams. Decisive, efficient, and quality-focused. High standards of integrity and professionalism. A collaborative team player capable of working across multiple departments. Qualification : Bachelor's degree in Business Administration, Sales, or a related field