8388 Data Management Jobs - Page 16

Your Role Develop, design & Implement Enterprise Data Management Consolidation (EDMCS) Enterprise Profitability & Cost Management Cloud Services (EPCM) Oracle Integration cloud (OIC). Full life cycle Oracle EPM Cloud Implementation. Creating forms, OIC Integrations, and complex Business Rules. Understanding dependencies and interrelationships between various components of Oracle EPM Cloud. Keep abreast of Oracle EPM roadmap and key functionality to identify opportunities where it will enhance the current process within the entire Financials ecosystem. Collaborate with the FP&A to facilitate the Planning, Forecasting and Reporting process for the organization. Create and maintain system documentation, both functional and technical Your Profile Experience in Implementation in EDMCS Modules Proven ability to collaborate with internal clients in an agile manner, leveraging design thinking approaches. Collaborate with the FP&A to facilitate the Planning, Forecasting and Reporting process for the organization. Create and maintain system documentation, both functional and technical Experience of Python, AWS Cloud (Lambda, Step functions, EventBridge etc.) is preferred. What you"ll love about Capgemini You can shape yourcareerwith us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learnon one of the industry"s largest digital learning platforms, with access to 250,000+ courses and numerous certifications. About Capgemini Location - Bengaluru,Chennai,Hyderabad,Mumbai,Pune

Your Role Leading requirements discussions Analyzing requirements around accounts reconciliation processes Designing detailed components of the Oracle ARCS solution Mentoring the development team around complex situations Client co-ordination and driving discussions for design sign-offs Support UAT activites Support production deployment Your profile EPM experience with at least 2 end-to-end ARCS implemenation experience Demonstrated designing and implementation experience on Oracle ARCS solution Good ARCS architectural and design concepts Hyperion ARM (On-Prem) Good knowledge of accounts reconciliation processes What youll love about working here You can shape yourcareerwith us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learnon one of the industry"s largest digital learning platforms, with access to 250,000+ courses and numerous certifications. About Capgemini Location - Bengaluru,Chennai,Mumbai,Pune

Your Role This role includes leading a project for implementation of Financial Close, Consolidation and Reporting using Oracle Financial Consolidation and Close Cloud Services (FCCS) Leading requirements discussions Analysing requirements around financial close, consolidation and reporting requirements Designing detailed components of the FCCS solution Mentoring the development team around complex situations Client co-ordination and driving discussions for design sign-offs Support UAT activities and production deployment Your Profile Experience in Hyperion Financial Management (HFM), FDM/ FDMEE, HFR/Smart View and FCCS Experience in demonstrated designing and implementation experience on HFM, FCCS technologies Good knowledge of financial close, consolidation and reporting processes Good oral and written communication skills What youll love about working here You can shape yourcareerwith us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learnon one of the industry"s largest digital learning platforms, with access to 250,000+ courses and numerous certifications. About Capgemini Location - Bengaluru,Chennai,Hyderabad,Mumbai,Pune

This role involves the development and application of engineering practice and knowledge in the following technologiesElectronic logic programs (FPGA, ASICs); Design layout and verification of integrated circuits (ICs),printed circuit boards(PCBs), and electronic systems; and developing and designing methods of using electrical power and electronic equipment; - Grade Specific Focus on Electrical, Electronics and Semiconductor. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

The Enterprise Data Architect will enhancethe company's strategic use of data by designing, developing, and implementingdata models for enterprise applications and systems at conceptual, logical,business area, and application layers. This role advocates data modelingmethodologies and best practices. We seek a skilled Data Architect with deepknowledge of data architecture principles, extensive data modeling experience,and the ability to create scalable data solutions. Responsibilities includedeveloping and maintaining enterprise data architecture, ensuring dataintegrity, interoperability, security, and availability, with a focus onongoing digital transformation projects. Key Responsibilities 1. Strategy Planning o Develop and deliver long-term strategic goalsfor data architecture vision and standards in conjunction with data users,department managers, clients, and other key stakeholders. o Create short-term tactical solutions toachieve long-term objectives and an overall data management roadmap. o Establish processes for governing theidentification, collection, and use of corporate metadata; take steps to assuremetadata accuracy and validity. o Establish methods and procedures for trackingdata quality, completeness, redundancy, and improvement. o Conduct data capacity planning, life cycle,duration, usage requirements, feasibility studies, and other tasks. o Create strategies and plans for data security,backup, disaster recovery, business continuity, and archiving. o Ensure that data strategies and architecturesare aligned with regulatory compliance. o Develop a comprehensive data strategy incollaboration with different stakeholders that aligns with the transformationalprojects goals. o Ensure effective data management throughoutthe project lifecycle. 2. Acquisition Deployment o Ensure the success of enterprise-levelapplication rollouts (e.g. ERP, CRM, HCM, FPA, etc.) Liaise with vendorsand service providers to select the products or services that best meet company goals 3. Operational Management Assess and determine governance, stewardship, and frameworks for managing data across the organization. Develop and promote data management methodologies and standards. Document information products from business processes and create data entities Create entity relationship diagrams to show the digital thread across the value streams and enterprise Create data normalization across all systems and data base to ensure there is common definition of data entities across the enterprise Document enterprise reporting needs develop the data strategy to enable single source of truth for all reporting data Address the regulatory compliance requirements of each country and ensure our data is secure and compliant Select and implement the appropriate tools, software, applications, and systems to support data technology goals. Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. Collaborate with project managers and business unit leaders for all projects involving enterprise data. Address data-related problems regarding systems integration, compatibility, and multiple-platform integration. Act as a leader and advocate of data management, including coaching, training, and career development to staff. Develop and implement key components as needed to create testing criteria to guarantee the fidelity and performance of data architecture. Document the data architecture and environment to maintain a current and accurate view of the larger data picture. Identify and develop opportunities for data reuse, migration, or retirement. 4. Data Architecture Design: Develop and maintain the enterprise data architecture, including data models, databases, data warehouses, and data lakes. Design and implement scalable, high-performance data solutions that meet business requirements. 5. Data Governance: Establish and enforce data governance policies and procedures as agreed with stakeholders. Maintain data integrity, quality, and security within Finance, HR and other such enterprise systems. 6. Data Migration: Oversee the data migration process from legacy systems to the new systems being put in place. Define & Manage data mappings, cleansing, transformation, and validation to ensure accuracy and completeness. 7. Master Data Management: Devise processes to manage master data (e.g., customer, vendor, product information) to ensure consistency and accuracy across enterprise systems and business processes. Provide data management (create, update and delimit) methods to ensure master data is governed 8. Stakeholder Collaboration: Collaborate with various stakeholders, including business users, other system vendors, and stakeholders to understand data requirements. Ensure the enterprise system meets the organization's data needs. 9. Training and Support: Provide training and support to end-users on data entry, retrieval, and reporting within the candidate enterprise systems. Promote user adoption and proper use of data. 10. Data Quality Assurance: Implement data quality assurance measures to identify and correct data issues. Ensure the Oracle Fusion and other enterprise systems contain reliable and up-to-date information. 11. Reporting and Analytics: Facilitate the development of reporting and analytics capabilities within the Oracle Fusion and other systems Enable data-driven decision-making through robust data analysis. 1.Continuous Improvement: Continuously monitor and improve data processes and the Oracle Fusion and other system's data capabilities. Leverage new technologies for enhanced data management to support evolving business needs. Technology and Tools: Oracle Fusion Cloud Data modeling tools (e.g., ER/Studio, ERwin) ETL tools (e.g., Informatica, Talend, Azure Data Factory) Data Pipelines: Understanding of data pipeline tools like Apache Airflow and AWS Glue. Database management systems: Oracle Database, MySQL, SQL Server, PostgreSQL, MongoDB, Cassandra, Couchbase, Redis, Hadoop, Apache Spark, Amazon RDS, Google BigQuery, Microsoft Azure SQL Database, Neo4j, OrientDB, Memcached) Data governance tools (e.g., Collibra, Informatica Axon, Oracle EDM, Oracle MDM) Reporting and analytics tools (e.g., Oracle Analytics Cloud, Power BI, Tableau, Oracle BIP) Hyperscalers / Cloud platforms (e.g., AWS, Azure) Big Data Technologies such as Hadoop, HDFS, MapReduce, and Spark Cloud Platforms such as Amazon Web Services, including RDS, Redshift, and S3, Microsoft Azure services like Azure SQL Database and Cosmos DB and experience in Google Cloud Platform services such as BigQuery and Cloud Storage. Programming Languages: (e.g. using Java, J2EE, EJB, .NET, WebSphere, etc.) SQL: Strong SQL skills for querying and managing databases Python: Proficiency in Python for data manipulation and analysis. Java: Knowledge of Java for building data-driven applications. Data Security and Protocols: Understanding of data security protocols and compliance standards. Education: Bachelor’s degree in computer science, Information Technology, or a related field. Master’s degree preferred. Experience: 10+ years overall and at least 7 years of experience in data architecture, data modeling, and database design. Proven experience with data warehousing, data lakes, and big data technologies. Expertise in SQL and experience with NoSQL databases. Experience with cloud platforms (e.g., AWS, Azure) and related data services. Experience with Oracle Fusion or similar ERP systems is highly desirable. Skills: Strong understanding of data governance and data security best practices. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work effectively in a collaborative team environment. Leadership experience with a track record of mentoring and developing team members. Excellent in documentation and presentations. Good knowledge of applicable data privacy practices and laws. Certifications: Relevant certifications (e.g., Certified Data Management Professional, AWS Certified Big Data – Specialty) are a plus. Behavioral A self-starter, an excellent planner and executor and above all, a good team player Excellent communication skills and inter-personal skills are a must Must possess organizational skills, including multi-task capability, priority setting and meeting deadlines Ability to build collaborative relationships and effectively leverage networks to mobilize resources Initiative to learn business domain is highly desirable Likes dynamic and constantly evolving environment and requirements

Job Role: Supplier Quality Engineer Duration: 3 months contract Top 3 skills are: Experience with maintaining supplier qualification documentation within GxP systems Experience in creating and maintaining data reports for Supplier Quality function Proficient in Microsoft Excel. Requirements: Minimum 3 years of work experience, preferably in Quality within Pharmaceutical, Life Sciences, Medical Devices, or similar industry Bachelor's degree required Data administrative support for the Global Supplier Quality team including: Maintain weekly Supplier Quality data report in SharePoint Create and/or maintain Supplier Quality reports including monthly KPI bowler, quarterly PO/QSL report, etc. in SharePoint Maintain supplier certificates by monitoring expiration dates & obtaining updated certificates from suppliers to upload into supplier quality system of record Log and communicate supplier change requests upon receipt into specified trackers, as needed Support overall Supplier Quality Operations team with data maintenance in Supplier Quality system or creating/supporting project data reports, as required

Job Summary: We are seeking a motivated and dynamic Admission Counsellor to join our team. The successful candidate will be vital in assisting prospective students through the admissions process, providing them with guidance and support as they navigate their educational journey. Roles and Responsibilities: Student Guidance: Assist prospective students and their families through the admissions process, providing information on academic programs, admissions requirements, and campus life. Admissions Process: Manage the admissions process from initial inquiry to enrollment, including reviewing applications, scheduling interviews, and conducting follow-up communications. Relationship Building: Develop and maintain relationships with high schools, community organizations, and other partners to promote the institution and attract prospective students. Events and Recruitment: Represent the institution at recruitment events, college fairs, and high school visits to promote awareness and generate interest in our programs. Data Management: Maintain accurate records of prospective students and their application status using our CRM system, ensuring timely follow-up and communication. Support Services: Provide support to students and families regarding financial aid options, scholarships, and other resources available to them. Team Collaboration: Collaborate with admissions team members and other departments to ensure a seamless and positive experience for prospective students throughout the admissions process. Requirements: Bachelor's degree in any field. Strong communication and interpersonal skills. Ability to work independently and as part of a team. Excellent organizational and time management skills. Education: Any UG or PG -Any Specialization Required Skills: Communication skills, Interpersonal Skills, Negotiation skills, Convinicing skills.

We are seeking a proactive and detail-oriented Operations Executive to support and manage the daily operations of our business. This role involves coordinating tasks across teams, maintaining accurate records, monitoring workflow, and contributing to process improvements. The right candidate will be organized, adaptable, and capable of working in a fast-paced environment. Key Responsibilities: Oversee and support daily business operations Coordinate with departments to ensure smooth workflows Maintain documentation and operational reports Assist in identifying and resolving operational issues Requirements: Graduate in any field Strong communication and organizational skills Required Computer knowledge (MS Office, spreadsheets, etc.) Experience in an operations role is a plus

6 months contract (extendable) Location: Noida Mode: Hybrid , candidate needs to travel 4 days in a month to office 2+ years of experience in Data Operations BGV is mandatory

Job Description: Join Pitney Bowes as an Intern Location - Noida/Pune Impact As a Product Security-intern, you will be part of our Innovation Group spanning across multiple product lines. The team will help streamline Product Security across the business unit and standardize best practices in the space. The candidate will also be able to work on SecDevOps and cover all the phases of the same if they show an aptitude for learning new technologies and have skills. The Job * Understand the different Security processes and tools * Understand the vulnerabilities coming in and help remediate them * Run basic DAST scans * Familiarize with security best practices. * Understand the nuances of security on the cloud Qualifications * UG - B. Tech/B.E. OR PG M.S. / M. Tech from REC or any other reputed institute * This role requires a talented self-directed individual with a strong work ethic and the following skills: * Software engineering experience in at least one high level language like Java/Python. * Scripting experience PowerShell * Good analytical skills and interest in security. * Technology agnostic & Flexibility to learn and adapt to new technologies. The Team Pitney Bowes, a global technology company, provides shipping & mailing solutions, data management software, and location intelligence offerings, powering billions of physical and digital transactions in the connected and borderless world of commerce. Helping clients achieve their greatest commerce potential are Pitney Bowes 16,000+ passionate employees around the world, our relentless pursuit of innovation with over 2,300 active patents, and our focus on clients, who are at the center of all that we do - from small businesses to 90% of the Fortune 500. We will: Provide the will: opportunity to grow and develop your career Offer an inclusive environment that encourages diverse perspectives and ideas Deliver challenging and unique opportunities to contribute to the success of a transforming organization Offer comprehensive benefits globally ( P B Live Well ) Pitney Bowes is an equal opportunity employer that values diversity and inclusiveness in the workplace. All interested individuals must apply online.

Senior Data Scientist AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercards AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercards competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities All About You Experience Experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: oDeep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL oBig Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning oClassical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil oDeep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks Feedforward, CNN, LSTM s GRU s is a plus. Optimization techniques Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing oDeep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: oConfluence (Documentation) oBitbucket/Stash (Code Sharing) oShared Folders (File Sharing) oALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organizations effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required

We are looking for a dynamic and results-driven sales leader to spearhead our business expansion across Central and State Government departments/Ministries, Public Sector Undertakings (PSUs), and Defence agencies. This role is pivotal in driving strategic growth for our Digital forensics, Data Recovery and data erasure portfolio within the Government and public sector.The ideal candidate will have strong experience in IT and software sales to the government sector,preferably with leading OEMs or Tier-1 system integrators, and a proven track record of successfully selling technology solutions to government clients. A thorough understanding of government procurement processes, compliance requirements, and public sector engagement protocols is essential. Key Responsibilities Sales Strategy Development & Execution o Lead the development and execution of sales strategies to expand business opportunities within the government, PSUs, and defense agencies for our digital forensics and data care solutions portfolio. o Identify market trends, client needs, and competitive dynamics to refine sales strategies,pricing models, and product positioning within the government sector. Sales Process Management o Oversee the entire sales process, including Suspecting, prospecting, qualifying leads,and executing bidding and tendering processes, ensuring timely and compliant submissions o Manage end-to-end sales processes from lead generation and qualification through tocontract negotiation and closing, ensuring alignment with government procurement policies. o Drive channel development by managing existing partnerships, onboarding new partners, and expanding product reach across India. Relationship Building & Stakeholder Management o Build and nurture long-term relationships with key stakeholders within government departments, PSUs, defense agencies, and related entities, fostering trust and collaboration Bidding & Tendering Process o Lead and manage the bidding process, ensuring timely submission of competitive,well-documented bids in line with tender requirements and government regulations. o Oversee the tendering process, identifying relevant opportunities, drafting tender responses, and coordinating with internal teams to ensure accurate, compliant, and compelling proposals. o Scrutinize and evaluate government tenders, ensuring the alignment of our offerings with client specifications while seeking opportunities for continuous improvement in submissions. Compliance & Government Regulations o Monitor and drive compliance with government procurement regulations, ensuring that all sales activities and proposals adhere to applicable standards. Cross-functional Collaboration o Collaborate with internal teams, including product management, marketing, legal,and technical experts, to develop customized solutions that meet the specific requirements of government entities. Desired Experience A minimum of 7 to 10 years of experience in selling IT security solutions, digital forensic solutions, IT Software s specifically within the Government sector (State Police / Investigation / Defense / Forensic Department) Central/State Government, PSUs etc. Proven track record of successfully selling IT/software products (cybersecurity solutions/networking solutions/ data management tools/ ERP systems/ remote infrastructure services/security solutions/Antivirus) to government clients. Strong understanding of government procurement processes, compliance standards, and regulatory frameworks. Hands on experience on Gem portal is essential for the role. Experience working with leading OEMs or Tier-1 system integrators is highly desirable. Strong technical acumen to understand and articulate the value proposition of complex IT solutions. Successful history of meeting or exceeding sales quotas and KPIs in a similar role Key Skills IT Solution Selling Government Sales Channel Development Qualification Bachelors degree in any discipline (Masters degree or MBA in Marketing, Sales, or a related field is preferred). Preferred: Certifications or a diploma in Forensic Science, Cybersecurity, or a related domain Forensics degree/diploma from National Forensics Science university is preferred. Core Competencies Customer Centricity Result Orientation Strategic Orientation Risk Taking Influencing Communication Shift Timings 9:00 PM - 6:00 PM Perks Health & Wellness Work-Life Balance Recognition & Awards Collaborative Culture Learning & Development Professional Growth Job Skills Analytical Skills Communication Confidence Negotiation Share this Job via Other Jobs IT Sales Gurugram July 15, 2025 Stellar is looking for a dynamic and results-driven Outbound Sales Executive to join our sales team. In this role, you will be responsible for generating leads, reaching out to potential clients, and closing deals for our data wiping software. You will play a crucial role in driving revenue growth and.... IT Sales Gurugram July 15, 2025 Role: Stellar is looking for a dynamic and results-driven Inbound Sales Professionals (BD) to join our sales team. The ideal candidate should have proven Software sales experience, preferably B2B, demonstrating a track record of success in Lead Generation and end-to-end sales. Job Overview Date Posted: July 28, 2025 Location: Gurugram Experience: 7-10 Years Number Of Position: 1 Technology You Can Trust Data Care Experts Since 1993 This website uses cookies in order to provide you with the best possible experience and to monitor and improve the performance of the site in accordance with our .

We re not yesterday s IT department, were Digital Technology. The world around us keeps changing and so do we. We re redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth. We re all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow s journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it. Ultimately, we strive to make the world work better for our employees and customers when you work in ServiceNow Digital Technology, you work for them. Position Summary: We are seeking a results-driven Director of Data Informatics Management to lead the execution and delivery of our enterprise Master Data and AI initiatives in a fast-paced, high-growth environment. This role is responsible for establishing a single, trusted source of truth across critical data domains such as Customer, Product, Vendor, and Person, leveraging the latest NOW and AI technologies and enabling business agility through clean, consistent, and governed data. You will work closely with cross-functional business and technology leaders to accelerate data readiness for business outcomes like revenue, pipeline, operational efficiency, compliance, and AI/analytics initiatives. Key Responsibilities : Own the delivery of Master Data initiatives from implementation through business adoption leveraging the NOW platform and related technologies Lead Master Data workstreams with clear timelines, milestones, and accountability; ensure deliverables are met on time and within scope and budget Break down complex requirements into rapid, incremental delivery sprints (Agile mindset). Drive issue resolution and escalate roadblocks with urgency to maintain momentum. Partner with business and DT leaders to ensure alignment between Master Data initiatives and business outcomes. Advocate for data as a strategic asset and champion data-driven decision-making. Establish and lead enterprise Master Data governance policies, stewardship programs, and data quality standards. Define ownership, accountability, and controls for master data domains. Ensure compliance with regulatory requirements and data privacy laws. Oversee the design and implementation of Master Data solutions including data models, taxonomies, hierarchies, and reference data. Develop and monitor KPIs for data quality and master data lifecycle management. Drive continuous improvement in data accuracy, completeness, consistency, and usability. Partner with Enterprise Architecture on Enterprise Standards and Reviews Work closely with product management teams to translate stakeholder feedback into product features and improvements. Partner with Functional and Engineering Leads across DT and business teams in the US and India to deliver high impact and high velocity programs from India Deliver integration programs for Master Data with enterprise applications Lead the roadmap for Master Data tool enhancements and scalability Evaluate emerging technologies and third-party solutions to drive innovation and maintain a competitive edge. Champion adoption of new tools, architectures (e.g., cloud, microservices), and automation practices that support scalability and agility Build and lead a high-performing team of data professionals including data engineers, quality engineers and analysts Foster a culture of collaboration, innovation, and accountability. Provide mentorship, professional development, and performance management. What will help you succeed Understanding of the NOW Platform and implementation strategies Curiosity about the latest AI technologies Strong communication The ability to work with ambiguity The ability to provide quick solutions with little information Proactiveness to connect the dots and tie efforts and outcomes to business priorities Agility to switch gears and context Strong Team Ethics Required Qualifications: Bachelor s degree in Information Systems, Computer Science, Business, or a related field (Master s preferred) Over 15 years of experience in data management, including 5+ years in Master Data leadership roles Proven success in implementing enterprise Master Data platforms, cloud-based Master Data solutions, and modern data architectures Extensive hands-on experience collaborating with cross-functional teams, particularly in alignment with Sales teams Deep knowledge of data quality, data modeling, and metadata management principles Experienced in building and leading high-performing teams of data professionals, including data engineers, quality engineers, and analysts Demonstrated ability to influence and collaborate effectively across both business and technology teams Excellent communication, strategic thinking, and stakeholder management skills Strong background in industries with complex data ecosystems, such as [insert example industries here e.g., pharmaceuticals, manufacturing, finance, etc.]

We are looking Project Manager with Data Management. Experience - 12 to 15 Years Notice Period - Immediate to max 30 days Location - Chennai & Noida Experience with Project Management and Data Migration, Data management, ETL, SQL.

Job Summary : We are seeking a highly skilled and motivated Data Analyst to join our team. The ideal candidate will have a strong aptitude for problem-solving and the ability to utilize a range of tools, including Excel, Power BI, SQL, and Python, to analyze and interpret complex data sets. As a Data Analyst, you will be responsible for gathering, analyzing, and presenting data-driven insights to support strategic decision-making and process optimization. Key Responsibilities : 1. Perform efficient and accurate manual data extraction from various document formats using advanced Microsoft Excel skills . This includes leveraging complex formulas, data validation, and efficient navigation techniques to expedite the extraction process. Analyze project data to identify trends, patterns, and insights. Develop and maintain data queries and reports using SQL (preferred). Automate data processing tasks using Python scripting where applicable(advantageous). Organize and maintain project-related data and documentation effectively. Identify and troubleshoot technical issues, escalating them as needed. Assist in optimizing internal processes and workflows. Collaborate with team members to meet project objectives. Potentially support the administration and use of eDiscovery platforms like Relativity (a plus). Requirements: 1. Proven working experience as a Data Analyst or Business Data Analyst. Technical expertise regarding data models, database design development, data mining. Advanced proficiency in Microsoft Excel, particularly for efficient manual data extraction. Keen attention to detail with a strong commitment to accuracy. Excellent organizational and time-management skills. Ability to work both independently and collaboratively in a team setting. Strong analytical and problem-solving capabilities. Clear and concise communication skills for presenting technical findings. Only Kolkata candidates are eligible for this post. Essential Skills: 1. Expertise in Microsoft Excel , including advanced formulas (e.g., VLOOKUP, INDEX/MATCH, SUMIFS), data validation, pivot tables, and keyboard shortcuts for rapid data extraction. 2. Strong analytical and logical thinking abilities. 3. Exceptional written and verbal communication skills. 4. Ability to quickly adapt to and learn new software and technologies. Beneficial Skills: 1. Experience with SQL for querying and managing databases. Familiarity with Python for scripting and data automation. Experience in the DataBreach/Incident Response domain, including search strategies and data management (a plus). Exposure to other data visualization tools. Understanding of data warehousing concepts.

MDM Specialist The aspirant will have a good exposure on the end-to end Master Data Management Any graduate with 6 months relevant exp CTC up to 5 LPA + Inc 5 Days working-2off Immediate Joiners Location-Pune Call or WhatsApp:-Nikita :-7744984200 Required Candidate profile min 6 months Experience Excellent communication skills Perks and benefits 2 way Cab Performance bonus+ Incentives

What Youll Do Design & Implement an enterprise data management strategy aligned with business process, focusing on data models designs, database development standards and data management frameworks Develop and maintain data management and governance frameworks to ensure data quality, consistency and compliance for different Discover domains such as Multi omics, In Vivo, Ex Vivo, In Vitro datasets Design and develop scalable cloud based (AWS or Azure) solutions following enterprise standards Design robust data model for semi-structured/structured datasets by following various modelling techniques Design & implement of complex ETL data-pipelines to handle various semi-structured/structured datasets coming from Labs and scientific platforms Work with LAB ecosystems (ELNs, LIMS, CDS etc) to build Integration & data solutions around them Collaborate with various stakeholders, including data scientists, researchers, and IT, to optimize data utilization and align data strategies with organizational goals Stay abreast of the latest trends in Data management technologies and introduce innovative approaches to data analysis and pipeline development. Lead projects from conception to completion, ensuring alignment with enterprise goals and standards. Communicate complex technical details effectively to both technical and non-technical stakeholders. What Youll Bring Minimum of 7+ years of hands-on experience in developing data management solutions solving problems in Discovery/ Research domain Advanced knowledge of data management tools and frameworks, such as SQL/NoSQL, ETL/ELT tools, and data visualization tools across various private clouds Strong experience in following: Cloud based DBMS/Data warehouse offerings AWS Redshift, AWS RDS/Aurora, Snowflake, Databricks ETL tools Cloud based tools Well versed with different cloud computing offerings in AWS and Azure Well aware of Industry followed data security and governance norms Building API Integration layers b/w multiple systems Hands-on experience with data platforms technologies like: Databricks, AWS, Snowflake, HPC ( certifications will be a plus) Strong programming skills in languages such as Python, R Strong organizational and leadership skills. Bachelors or Masters degree in Computational Biology, Computer Science, or a related field. Ph.D. is a plus. Preferred/Good To Have MLOps expertise leveraging ML Platforms like Dataiku, Databricks, Sagemaker Experience with Other technologies like Data Sharing (eg. Starburst), Data Virtualization (Denodo), API Management (mulesoft etc) Cloud Solution Architect certification (like AWS SA Professional or others)

You as Business Technology Solutions Manager will take ownership of one or more client delivery at a cross office level encompassing the area of digital experience transformation. The successful candidate will work closely with ZS Technology leadership and be responsible for building and managing client relationships, generating new business engagements, and providing thought leadership in the Digital Area. Responsibilities - Lead the delivery process right from discovery/ POC to managing operations, across 3-4 client engagements helping to deliver world-class MDM solutions Ownership to ensure the proposed design/ architecture, deliverables meets the client expectation and solves the business problem with high degree of quality; Partner with Senior Leadership team and assist in project management responsibility i.e. Project planning, staffing management, people growth, etc.; Develop and implement master data management strategies and processes to maintain high-quality master data across the organization. Design and manage data governance frameworks, including data quality standards, policies, and procedures. Outlook for continuous improvement, innovation and provide necessary mentorship and guidance to the team; Liaison with Staffing partner, HR business partners for team building/ planning; Lead efforts for building POV on new technology or problem solving, Innovation to build firm intellectual capital: Actively lead unstructured problem solving to design and build complex solutions, tune to meet expected performance and functional requirements; Stay current with industry trends and emerging technologies in master data management and data governance. Qualification & Experience - Bachelor's/Master's degree with specialization in Computer Science, MIS, IT or other computer related disciplines; 10-14 years of relevant consulting-industry experience (Preferably Healthcare bad Life Science) working on medium-large scale MDM solution delivery engagements: 5+ years of hands-on experience on designing, implementation MDM services & capabilities using tools such as Informatica MDM, Reltio etc Strong understanding of data management principles, including data modeling, data quality, and metadata management. Strong understanding of various cloud based data management (ETL Tools) platforms such as AWS, Azure, Snowflake etc.,; Experience in designing and driving delivery of mid-large-scale solutions on Cloud platforms; Experience with ETL design and development, and (OLAP) tools to support business applications Additional Skills Ability to manage a virtual global team environment that contributes to the overall timely delivery of multiple projects; Knowledge of current data modeling, and data warehouse concepts, issues, practices, methodologies, and trends in the Business Intelligence domain; Experience with analyzing and troubleshooting the interaction between databases, operating systems, and applications; Significant supervisory, coaching and hands-on project management skills; Willingness to travel to other global offices as needed to work with client or other internal project teams.

ZS Life Science R&D Technologist in Clinical development ZS life science R&D team partners with client to discover and develop innovative medicines that improve patient's lives. Our work spans across consulting, analytics and technology (services and platforms) projects across the several domains. We have 3500+ zs professional that are delivering R&D programs, $100MM+ invested in R&D data, analytics and technology assets and 100+ clients on R&D programs. Our Clinical/Drug Development division displays a substantial history of contributing to numerous client projects with significant results in the drug development. The Drug Development R&D Technologists possess a deep understanding of technological solutions for clinical development processes including clinical study design, data management, analytics, and quality risk management platforms and products. They are well-versed in software related to clinical trial protocol design, electronic data capture (EDC), external data capture, data conformance, transformation, analysis, and reporting. Our team is well versed about industry standards such as CDISC, FHIR, OMOP, and their respective usage. Our team specializes in designing bespoke solutions or products implementation for clinical design, data management, and analytics systems. Our team has deep understanding of EDC tools like Rave, Veeva, InForm, openClinica, clinical data repositories like SAS LSAF, Oracle LSH, eCS elluminate, Metadata Repositories like Nurocor, Sycamore, Formedix, statistical computing environments like Sycamore, Domino, Sas Viya systems, Clinical data review systems, RBQM systems, and more. With experience as solution architects, business analysts, or techno-functional SMEs in GXP compliant validated environments, they guide the creation of solution, data flows and strategies for building clinical development and data management systems. Their offerings encompass technical advisory, consultancy, developing of clinical data platforms and products, system integration, and intelligent automation. Additionally, the team has created innovative tools through advanced technology and data science, aiding numerous clients in expediting the drug development process. What Youll Do You will spearhead the design & implementation of various innovative solutions in the realms of clinical trial, data management, analytics and RBQM. As a solution leader, your role will involve strategizing, offering tech consultancy, conducting assessments, and overseeing technology projects as the solution leader. You will be engaging with clients to review clinical business processes, determining requirements, establishing user narratives, and delivering solutions that have significant impact. You will lead requirements gathering activities and collaborate with product owner to prioritize and groom the backlog to ensure appropriate level of detail is captured at the right time You will lead team who review and Author high-level user stories and develop related tasks, acceptance criteria and review test cases Your team will work closely with project teams in creating requirement Specifications, requirement traceability metrics , user guides and other project requirement documents You will plan and facilitate various requirement gathering, solution meetings and artefacts You will work on creating process flows based on client and internal project discussions You will work to perform business process modelling, data flow, user experience modeling, and basic solution architecture diagramming Your team will act as techno-functional Liaison between client business user and project engineering team to provide correct business context, business rules You will work in building a Business Analysis capability, mentoring and upscaling more junior colleagues, and contributing to the growth of a BA community. What Youll Bring Bachelors degree in engineering / Pharma/ Bioinformatics / Medicine or related disciplines Masters degree in business analyst, Engineering or Science preferred. 8+ years of experience working within Life Science Domain as solution architect / business analyst / data analyst is required. Experience of working in any of Clinical trial design, data management, analytics and RBQM system development, product implementation and Integration like EDC (Rave, Veeva, InForm), Non-EDC(ePRO, LAB,eCOA) , clinical data repository (CDR SAS LSAF, Oracle LSH, eClinical elluminate ), Metadata Repository (MDR Nurocor, Sycamore, Formedix) , statistical computing environment (Domino, Sas Viya) system, CTMS, eTMF, CDMS is required. Strong verbal and written communication skills with ability to articulate results and issues to internal and client teams Experience in driving requirements discussions, workshops and coordinating with internal and external stakeholders, across time zones, during the planning and delivery of technology projects is required Experience working in end-to-end Clinical Data Repository implementation with Biometrics space will be preferred. Exposure to clinical data standards like CDISC (SDTM, ADaM), FHIR, HL7, USDM is required. Experience in building and delivering GxP compliant solutions for large enterprise program is required. Exposure to programming language like R, Python and SAS is preferred. Additional Skills Strong client presence and ability to communicate verbally and in writing complex domain concepts to all audiences. Significant supervisory, coaching and hands-on project management skills. Ability to manage a virtual global team environment that contributes to the overall timely delivery of multiple projects. Willingness to travel to other global offices as needed to work with client or other internal project teams. In-silico, digital twin, and/or modeling experience.

What youll do : Strong understanding of data management, data cataloguing, and data governance best practice. Enterprise data integration and management experience working with data management, EDW technologies and data governance solutions. The ideal data governance & data Catalog lead will call on their expertise in master data management (#MDM), data governance, and data quality control to effectively oversee the data elements of a complex product catalog. Showcasing thorough understanding of design and developing data catalog & data assets on industry known leading tool (Open-source catalog tool, Informatica Cloud data catalog, Alation, Collibra or Atlan) that would be the inventory of collective data assets to help data owners, stewards, and business users to discover relevant data for analytics and reporting. Must have experience on Collibra, Data Quality experience, including executing at least 2 large Data Governance, Quality projects from inception to production, working as technology expert. Must have 5+ years of practical experience configuring data governance resources including business glossaries, resources, dashboards, policies, search. Management of Enterprise Glossary through the review of common business terms and definitions and continuous assessments to ensure data adheres to Data Governance Standards, Development and configuration of Collibra/Alation data catalog resources, data lineage, custom resources, custom data lineage, relationships, data domains, data domain groups and composite data domains. Implement Critical Data Elements to govern, corresponding Data Quality rules, policy, regulation, roles, Users, data source systems, dashboard/visualization for multiple data domain. Administration and management of Collibra/Alation data catalogue tool, user groups, permissions Configuration of Data profiling and data lineage Work with Data Owners, stewards, and various stakeholders to understand Collibra/Alation Catalogue requirements and configure it in the tool. What youll bring: Bachelor's or Master's degree in Business Analytics, Computer Science, MIS or related field with academic excellence 3+ years of relevant professional experience in delivering small/medium-scale technology solutions Ability to lead project teams, drive end-to-end activities, meet milestones, and provide mentorship/guidance for the team growth Strong understanding of RDBMS concepts, SQL, data warehousing and reporting Experience with big data concepts, data management, data analytics and cloud platforms Proficiency in programming languages like Python Strong analytical and problem-solving skills, includingexpertise in algorithms and data structures Additional Skills: Strong communication skills, both verbal and written, with the ability to structure thoughts logically during discussions and presentations Capability to simplify complex concepts into easily understandable frameworks and presentations Proficiency in working within a virtual global team environment, contributing to the timely delivery of multiple projects Travel to other offices as required to collaborate with clients and internal project teams Location - Bengaluru,Gurugram,Noida,Pune

Key Responsibilities: Requirement Gathering & Analysis Engage with stakeholders to understand business needs and translate them into Salesforce solutions. Process Optimization Improve workflows using Flows, Process Builder, and Validation Rules for automation. Data Management & Reporting Maintain data integrity, create reports, and analyze key business metrics to support decision-making. Customization & Configuration Configure Custom Objects, Fields, Page Layouts, and Record Types to align with business requirements. User Training & Support Provide training and documentation to ensure smooth Salesforce adoption and best practices. Collaboration with Development Teams Work closely with Apex, Lightning Web Components (LWC), and API integration teams to implement effective solutions. Testing & Quality Assurance Conduct User Acceptance Testing (UAT) and regression testing to validate system enhancements. Required Skills: Strong Salesforce Knowledge Hands-on expertise in Sales Cloud, Service Cloud, CPQ, and Experience Cloud. Automation & Reporting Experience working with Flows, Reports, Dashboards, SOQL/SOSL queries. Business Process Mapping Ability to analyze gaps and recommend process improvements. Project Methodologies Understanding of Agile, Scrum, and SDLC best practices. Communication & Stakeholder Management Strong ability to liaise between business and technical teams. Skills : - Salesforce Knowledge (Sales Cloud, Service Cloud, CPQ, Experience Cloud), Requirement Gathering, Process Optimization, Flows, Reports, Dashboards, SOQL, SOSL, Custom Objects, Testing (UAT, Regression), Agile, Scrum, SDLC, Communication, Stakeholder Management, Salesforce Business Analyst, Requirement Gathering, Process Optimization, Salesforce Automation, Flows & Process Builder, Sales Cloud, Service Cloud, CPQ, Experience Cloud, Data Management, Reporting, SOQL, SOSL, Customization, Apex, LWC, API Integrations, UAT, Regression Testing, Business Process Mapping, Agile, Scrum, SDLC, Stakeholder Management

As the Data Analytics Manager at MostEdge, you will initially start as an individual contributor during the business concept validation and pilot phases and eventually lead a team of analytics professionals dedicated to transforming complex transactional data into actionable insights that drive growth and profitability for both MostEdge and its customers. You will play a critical role in analyzing the companys transaction data to- (a) convert those insights into viable revenue streams for the company, and (b) ensure that companys customers make informed decisions that optimize their retail operations. Additionally, you will also be responsible for publishing insightful reports that represent the "Voice of the Shopper," enabling MostEdge to communicate key market trends and consumer behaviors to stakeholders. The role requires a deep understanding of analytics, retail dynamics, and the ability to translate data into meaningful action plans that drive growth and customer success. What Are We Looking For: You will thrive in MostEdge if you have: Values of customer first, service excellence, keeping it simple, teamwork, urgency. Student of the market and is in tune with what is happening around them. Passion for doing something amazing and let others achieve the same. Commitment to making something happen and inspiring others. Ability to learn fast and recognize there is an invisible line between success and short comings. Mindset of not giving up...help team completing things today vs. tomorrow. Drive and excitement for working in a fast-paced environment. The desire to work collaboratively with a tight knit but quickly growing team. Flexibility, humility, and a sense of humour Responsibilities: Accountability Work closely with internal teams (e.g., product, marketing, sales) to understand business needs and align data analytics efforts with overall company goals. Convert data into actionable revenue streams by identifying new sales opportunities, optimizing customer engagement, and enhancing operational efficiencies. Develop actionable insights and recommendations that directly impact the bottom line, focusing on profitability and sustainable growth. Develop use case financial drivers and implementation risks. Establish data driven culture across the organization. Deploy tools and methodologies that help capture, version control, regression testing, and sharing of the analytic assets in the organization. Accountable for data accuracy, validity, regulation compliance, privacy, and security. Oversee the data use operations. Ensure that the data is available and meaningful Scope Analyze complex transactional data to identify key trends, customer behaviors, and market opportunities. Establish methodology to identify, validate, prioritize, and document the key business of the organization and the operational use cases. Create a methodology that facilitates the capture, refinement, enhancement, and sharing of data assets in an organization. Manage the data and analytics operations, which includes the architecture, user requirements, software development, and AI and ML integration. Drive the development of frameworks, control policies, and help employees understand data usage. Demonstrate the value of data by monetizing the data assets of the organization Outcomes Extract value from data from one use case every 90 -120 days Work directly with customers to provide insights and data-driven action plans that help them achieve their business objectives. Help clients understand the potential of data analytics in driving their retail strategies, improving customer experience, and increasing profitability. Collaborate with clients to track performance, measure impact, and continuously improve analytics-driven strategies. Deliver data-related insights on time for pricing management and store360 customers, which will impact the organizations responsiveness, profitability, and business processes to customers. Implement PowerBI or other data visualization infrastructure within 30 days for the use case approval Develop and implement a business plan for data monetization in 60 days after the use case approval Qualifications: Education: Bachelors degree in Data Analytics, Business Intelligence, Economics, Statistics, Computer Science, or a related field (Masters degree preferred). Experience: o 7+ years of experience in data analysis or business analytics within the retail industry (experience in a leadership role preferred). o Proven track record of generating actionable insights from transactional data and transforming them into profitable outcomes. o Experience in leading and mentoring a team of data analysts. o Strong understanding of retail operations, consumer behavior, and sales strategy. Skills & Competencies: o Proficiency in data analysis tools (e.g., SQL, Excel, Tableau, Power BI, Python, R). o Strong ability to create and present data-driven reports and presentations. o Excellent communication and interpersonal skills, with the ability to interact effectively with clients, team members, and senior executives. o Strong problem-solving abilities and the capacity to turn complex data into actionable recommendations. o Knowledge of retail management software, POS systems, and e-commerce platforms is a plus. Personal Attributes: o Analytical mindset with the ability to see the big picture while diving deep into the details. o Strong leadership and people management skills with a passion for mentoring. o Results-driven with a focus on measurable outcomes and long-term growth. o Curiosity and a commitment to staying up-to-date with industry trends and data analytics best practices.

Join our digital revolution in NatWest Digital X In everything we do, we work to one aim To make digital experiences which are effortless and secure, So we organise ourselves around three principles: engineer, protect, and operate We engineer simple solutions, we protect our customers, and we operate smarter, Our people work differently depending on their jobs and needs From hybrid working to flexible hours, we have plenty of options that help our people to thrive, This role is based in India and as such all normal working days must be carried out in India, Job Description Join us as a Payments Data Principal Engineer As a key member of our Payments Technology senior leadership team, youll oversee the safe and high-quality delivery of changes across diverse payment technology environments, with a strong emphasis on data engineering and Payments data products Your focus will extend to the delivery of changes from a people, process, and technology perspective, with the aim of embedding a new customer and product led delivery model that promotes engineering excellence, including robust data architecture and modelling practices This role offers you the opportunity to enhance your career profile and forge long-lasting relationships with a variety of stakeholders, including senior management, through effective data-driven decision-making We're offering this role at director level What you'll do As a Senior Principal Engineer, youll be accountable for the efficiency, stability, enhancement, responsiveness, performance, security, support, life-cycling and maintenance of Payments Technologys systems, applications, utilities, tools, and services with a particular focus on the integrity and usability of data assets Day-to-day, youll govern the implementation and adherence to standards, principles, and policies, leading various disciplines Youll will collaborate closely with your peers to ensure the utilisation of optimal technical solutions within Payments and across the bank, particularly in relation to data management and analytics, With a fine blend of hands-on and hands-off engineering, youll coordinate, support and guide your teams to design and engineer software, scripts and tools that are customer centric, high performing, secure and robust And with a sharp focus on opportunities for automation, youll create efficiency where it doesnt already exist by exploring and anticipating the impact of strategic challenges, and developing the proposed strategy, architecture and roadmap to drive them forward, Youll also be responsible for: Developing and executing a cohesive strategy that aligns product, design and business priorities, and converting these into technological solutions Empowering and enabling your teams to grow by facilitating discussions, sharing insights, driving collaboration, and guiding the direction of work Working with software engineers to prototype innovative ideas, and engaging with our architects to validate and leverage them across the bank Developing design patterns, advocating our design principles and methodologies, and signposting the latest trends, technologies and tools Enhancing our software engineering capability and inspiring our community of engineers to fulfil their potential by facilitating internal mobility, shaping career paths and coaching talent The skills you'll need Youll bring a wealth of practical experience and technical knowledge to this role From knowledge of our applications, interfaces, services and platforms, to hands-on experience developing and implementing deployment patterns, application tooling and legacy and industry-leading technologies, youll have the knowledge, skills and insights to support and guide your teams to engineer innovative, value-adding solutions, And, by harnessing your ability to engage and rally people around a tech cause, youll enable success at both a team and executive level and make a long-lasting impact through your work, You'll demonstrate: Excellent leadership and management skills Significant experience of leading software development teams, executing strategies and implementing programming best practice Expertise in multiple high-level programming languages Great interpersonal and relationship building skills Good communication skills Show

We are hiring a Zoho Consultant with 3+ years of experience in Zoho CRM, Creator, Books, Desk, and more. Responsibilities include implementation, team building , customization, data migration, and workflow automation. Competitive salary, benefits, and career growth opportunities. 1. Zoho Implementation & Customization Configure and customize Zoho CRM, Zoho One, Zoho Desk, Zoho Creator, Zoho Books, and other Zoho apps as per business needs. Develop and automate workflows, blueprints, and business processes. Create and customize reports, dashboards, and modules within Zoho applications. Integrate Zoho applications with third-party tools and APIs. 2. Business Process Optimization Analyze business workflows and recommend Zoho solutions to improve efficiency. Automate repetitive tasks using Deluge scripting, workflows, and Zoho Flow. Provide solutions for lead management, sales automation, customer support, and finance operations. 3. Data Management & Reporting Migrate and clean data from other CRMs or legacy systems into Zoho. Build advanced reports and analytics dashboards for decision-making. Maintain data integrity, security, and user access controls. 4. Training & Support Provide training sessions to internal teams on Zoho applications and best practices. Troubleshoot and resolve Zoho-related issues efficiently. Keep up with Zoho updates and new features to enhance business processes. Technical Skills: 3+ years of experience working with Zoho CRM and Zoho applications. Strong knowledge of Deluge scripting, API integration, and workflow automation. Experience in customizing modules, layouts, reports, dashboards, and automation. Understanding of business processes such as Sales, Marketing, HR, Finance, and Customer Support. Familiarity with Zoho Analytics, Zoho Sign, Zoho Mail, and Zoho Flow is a plus. Soft Skills: Strong problem-solving and analytical skills. Excellent communication and presentation abilities. Ability to work independently and collaborate with cross-functional teams. Strong project management and documentation skills.

What is the Fund Administration & Oversight Lead Analyst responsible for? Alcentra, acquired by Benefit Street Partners ("BSP") in November 2022, is a wholly owned subsidiary of Franklin Resources, Inc. that, together with its various subsidiaries, operates as Franklin Templeton. The BSP/Alcentra combined organization is a leading credit-focused alternative asset management firm with approximately $77 billion in assets under management. Established in 2008, the BSP platform manages funds for institutions, high-net-worth and retail investors across various strategies including: private/opportunistic debt, liquid loans, high yield, special situations, long-short liquid credit and commercial real estate debt. Established in 2002, the Alcentra platform manages funds for institutions, high-net-worth and retail investors with a focus on the sub-investment grade debt capital markets in Europe and the U.S. Their objective is to deliver strong, risk-adjusted returns that are less correlated, through a complementary suite of traditional and alternative credit strategies. In pursuing this objective, their investment strategy and approach to credit selection are based on intensive fundamental research and credit analysis, combined with active portfolio management to minimize credit losses. The successful candidate will be employed as a Fund Controller in the Syndicated Loan & Multi-Credit Fund Finance team. The role encompasses Fund Accounting, Investor Reporting and Data Management oversight. The candidate must be well versed in accounting principles and have experience in Performance Return calculations. Knowledge of both open-ended funds is also advantageous. What are the ongoing responsibilities of Fund Administration & Oversight Lead Analyst? Fund Accounting overseeing production/review of NAVs produced by Alcentras third-party Administrators, monitoring balance sheets, profit & loss, class performance and hedging efficiency Performance Return calculations Portfolio and Share Class Attribution overseeing production and submission Expense Budgets Calculations overseeing management and performance fees, expense budgets and TERs Reporting - Regulatory and Investor reporting Audit - oversight and sign-off of Financial Statements/fund audits Data ensuring accuracy of data in the Front Office Systems and Data Warehouse Liquidity managing cash using bridge facility, capital calls and distributions. What ideal qualifications, skills & experience would help someone to be successful? 3 to 5 years of experience working in financial services. Educated to degree level or equivalent. Qualified chartered accountant - ACCA ACA CIMA or equivalent. Strong mathematical skills as well as proficiency in Excel are essential. Possess strong interpersonal, verbal, and written communication skills and have the ability to clearly articulate complex concepts, ideas and processes. The candidate must be a strong team player but also work with a fair degree of autonomy and take responsibility & ownership of their work. An understanding of syndicated loans and CLO products is advantageous. Work Shift Timings - 2:00 PM - 11:00 PM IST