1360 Qlikview Jobs - Page 2

Job Description KPMG in India, a professional services firm, is the Indian member firm affiliated with KPMG International and was established in September 1993. Our professionals leverage the global network of firms, providing detailed knowledge of local laws, regulations, markets, and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, and Vadodara. KPMG in India offers services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused, and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment KPMG Advisory professionals provide advice and assistance to enable companies, intermediaries, and public sector bodies to mitigate risk, improve performance, and create value. KPMG firms provide a wide range of Risk Advisory and Financial Advisory Services that can help clients respond to immediate needs as well as put in place the strategies for the longer term. Projects in IT Advisory focus on the assessment and/or evaluation of IT systems and the mitigation of IT-related business risks. They are either IS audit, SOX reviews, Internal audit engagements, IT infrastructure review and/or risk advisory including but not limited to IT audit supports in nature. Responsibilities Perform testing of IT Application Controls, IPE, and Interface Controls through code reviews, IT General Controls review covering areas such as Change Management, Access Management, Backup Management, Incident and Problem Management, SDLC, Data Migration, Batch Job scheduling/monitoring and Business Continuity and Disaster Recovery Perform Risk Assessment, identification, and Evaluation of Controls, prepare process flow diagrams and document the same in Risk & Control Matrix. Perform business process walkthrough and controls testing for IT Audits. Performing planning and executing audits, including - SOX, Internal Audits, External Audits Conducting controls assessment in manual/ automated environment Prepare/Review of Policies, Procedures, SOPs Maintain relationships with client management and the project Manager to manage expectations of service, including work products, timing, and deliverables. Demonstrate a thorough understanding of complex information systems and apply it to client situations. Use extensive knowledge of the client's business/industry to identify technological developments and evaluate impacts on the work to be performed. Coordinate effectively and efficiently with the Engagement manager and the client management keeping both constantly updated regarding project’s progress. Collaborate with other members of the engagement team to plan the engagement and develop relevant workpapers/deliverables. Perform fieldwork and share the daily progress of fieldwork, informing supervisors of engagement status. Qualifications IT Audit + SAP experience with knowledge of IT governance practices Prior IT Audit knowledge in areas of ITGC, ITAC (application/automated controls) SOX 404, SOC-1 and SOC-2 Audits Good to have knowledge of other IT regulations, standards and benchmarks used by the IT industry (e.g. NIST, PCI-DSS, ITIL, OWASP, SOX, COBIT, SSAE18/ISAE 3402 etc.) Technical Knowledge of IT Audit Tools with excellent knowledge of IT Audit process and methodology Exposure to Risk Management and Governance Frameworks/ Systems will be an added advantage Exposure to ERP systems will be added advantage Strong project management, communication (written and verbal) and presentation skills Knowledge of security measures and auditing practices within various applications, operating systems, and databases. Strong self-directed work habits, exhibiting initiative, drive, creativity, maturity, self-assurance, and professionalism Preferred Certifications – CISA/CISSP//CISM Exposure to automation Data Analytics tools such as QlikView/Qlik sense, ACL, Power BI will be an advantage Proficiency with Microsoft Word, Excel, Visio, and other MS Office tools Equal Employment Opportunity Information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.

A career in National Special Functions at PwC provides you with the opportunity to support service, sector, and market leaders in delivering the unique PwC client experience. You will play an important role in continuously innovating and improving Firm operations to ensure the highest quality of services for current and prospective clients. The PwC Intelligence team serves as a strategic business partner for an assigned customer, identifying and pursuing new opportunities, conducting market analysis, and preparing revenue projections. Additionally, you will be involved in developing new service offerings and solutions, enhancing existing delivery capabilities, and supporting the delivery of solutions on engagements. To excel and contribute to shaping the future in a rapidly changing world, every individual at PwC needs to embody a purpose-led and values-driven leadership approach at all levels. The PwC Professional, our global leadership development framework, establishes a common set of expectations across our lines of service, geographies, and career paths. It offers transparency on the essential skills required for success and career advancement both presently and in the future. **Responsibilities:** - Develop new skills beyond your comfort zone. - Take action to resolve issues hindering team effectiveness. - Coach team members, identify their strengths, and empower them to drive their personal development. - Analyze complex ideas or proposals and formulate a variety of meaningful recommendations. - Utilize diverse information sources, including input from various stakeholders, to devise solutions and recommendations. - Address sub-standard work or deliverables that do not meet the firm's or client's expectations. - Leverage data and insights to guide conclusions and facilitate decision-making. - Formulate a perspective on major global trends and their implications for clients. - Manage differing viewpoints to achieve consensus and positive outcomes for all involved parties. - Simplify complex messages by highlighting and summarizing key points. - Adhere to the firm's code of ethics and business conduct. - Demonstrate understanding of Firm-wide business intelligence and reporting tools like PowerBI, QlikView, Thoughtspot, and other analytical resources. - Possess experience in designing and developing enterprise-class solutions on the cloud. - Establish and maintain relationships with business partners, finance leaders, and stakeholders. - Demonstrate extensive expertise in developing and delivering complex business intelligence solutions, with a primary focus on MS Power BI encompassing Reporting, Modeling, Dashboarding, DAX, and Power Query. - Collaborate with end users to strategize, design, develop, implement, and enhance business analytics capabilities using Microsoft Power BI and/or other BI reporting tools. - Consolidate and analyze data from multiple sources to derive meaningful insights.,

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

About This Role Wells Fargo is seeking a Analytics Consultant In This Role, You Will Consult with business line and enterprise functions on less complex research Use functional knowledge to assist in non-model quantitative tools that support strategic decision making Perform analysis of findings and trends using statistical analysis and document process Present recommendations to increase revenue, reduce expense, maximize operational efficiency, quality, and compliance Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency Participate in all group technology efforts including design and implementation of database structures, analytics software, storage, and processing Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff Understand compliance and risk management requirements for supported area Ensure adherence to data management or data governance regulations and policies Participate in company initiatives or processes to assist in meeting risk and capital objectives and other strategic goals Collaborate and consult with more experienced consultants and with partners in technology and other business groups Required Qualifications: 2+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 2+ years of experience in one or a combination of the following: strategy development and evaluation, analytics, reporting. Experience with partnering and collaborating across lines of business and with operations to deploy prevention and detection strategies. BS/BTech degree or higher in a quantitative field such as applied math, statistics, engineering, physics Strong analytical skills with high attention to detail and accuracy Fraud Strategy / Fraud domain understanding experience 2+ years of SAS (e.g. Enterprise Guide or Enterprise Miner or Base SAS) and/or Python or R experience Demonstrated experience with Strategy development and evaluation. Ability to create documentation of process flows, business analysis and metadata, and conduct root cause analysis. Experience in Financial services or knowledge of consumer/retail financial products Demonstrated critical thinking and problem-solving skills. Desired Qualifications Knowledge and understanding of fraud detection process in banking. Predictive modeling / AI-ML basics Strong analytical skills with high attention to detail and accuracy Dedicated, enthusiastic, self-driven and performance-oriented and capable of handling multiple projects simultaneously. Possesses a strong work ethic and thrives in a collaborative team environment. Excellent verbal, written, and interpersonal communication skills and demonstratable strong presentation skills; ability to tell the story to an executive audience. Engage with cross culture team members and stakeholders, and other lines of business with competing priorities. Understanding of retail branch, phone, and digital customer experience Experience working on BI Tools like QlikView or Tableau Experience with MS Office Suite (PowerPoint, Excel, Word) - intermediate at a minimum Posting End Date: 4 Aug 2025 Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants With Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment And Hiring Requirements Third-Party recordings are prohibited unless authorized by Wells Fargo. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. Reference Number R-477629

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions. Our data analytics and software platforms support data science, commercial operations, real world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence delivering analytical guidance to the field through SalesOps™, our cloud-based sales planning and operations platform. We are leaders in managing data using the latest cloud information management and big data technologies. We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform Key Responsibilities Data Analysis and Reporting: Develop and manage dashboards, reports, and data visualizations using BI tools such as Tableau, Power BI, or QlikView. Analyze sales trends, market performance, and customer behavior to identify opportunities and risks. Provide insights to support strategic decision-making for marketing campaigns, product launches, and portfolio management. Data Management: Ensure data accuracy, integrity, and security by collaborating with IT and data engineering teams. Manage large datasets from internal and external sources, including CRM systems, market intelligence platforms, and supply chain databases. Support the implementation and optimization of data warehouses and ETL processes. Strategic Collaboration: Work closely with cross-functional teams such as marketing, sales, R&D, and operations to understand their data needs and provide tailored solutions. Act as a liaison between technical teams and business stakeholders to ensure alignment on BI initiatives. Market and Competitive Intelligence: Monitor market trends, regulatory changes, and competitor activities to provide actionable intelligence. Support forecasting and scenario planning based on industry insights. Process Improvement: Identify and implement best practices in BI processes to enhance efficiency and accuracy. Train team members and stakeholders on the use of BI tools and data interpretation. Qualifications 3-5 years of experience in business intelligence or data analytics, preferably in the pharmaceutical industry. Proficiency in BI tools (Tableau, Power BI, QlikView, etc.) and advanced Excel skills. Strong SQL and data modeling capabilities; experience with Python or R is a plus. Solid understanding of pharmaceutical market dynamics, including knowledge of pharma market data sources such as IQVIA, IMS Health, or Symphony Health is a must. Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical audiences. Strong problem-solving skills and a proactive approach to addressing business challenges Familiarity with statistical analysis and predictive modeling techniques is a plus and good to have.

Position Overview Job Title: Tableau Developer AS Location: Pune, India Role Description As a Tableau Developer you will play a critical role in transforming data into actionable insights, You will work closely with our data analysis team to design and develop interactive dashboards and reports that facilitate data-driven decision-making across the organization, What Well Offer You As part of our flexible scheme, here are just some of the benefits that youll enjoy, Best in class leave policy, Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs and above Your Key Responsibilities Design, develop, and implement scalable Tableau dashboards and reports that meet the analytical needs of various business units Collaborate with data analysts and business stakeholders to gather requirements and translate them into technical solutions Support the maintenance and enhancement of existing Tableau reports and dashboards Perform data cleansing and preparation to ensure accuracy and reliability of visualizations Implement data visualization best practices to ensure clarity, accuracy, and usability of dashboards, Conduct user training sessions to promote effective use of Tableau tools Participate in code reviews and contribute to best practices in data visualization Your Skills And Experience Required: Strong analytical skills with the ability to interpret complex data and provide actionable recommendations Fundamental understanding of SQL and relational databases Experience in creating visually appealing and user-friendly dashboards that drive business insights Ability to work collaboratively in a team-oriented environment Experience with data modeling and ETL processes, ensuring data quality and integrity in reporting Preferred: Experience with other BI tools such as Power BI, QlikView Experience with programming languages such as Python Familiarity with data warehousing concepts and ETL processes Exposure to Agile methodologies Knowledge of data governance best practices and data quality frameworks Certifications related to Tableau ( e-g , Tableau Desktop Certified Professional) are an advantage Technical Skills and Relevant Technologies: Deep expertise in Tableau, including server architecture and administration Proficiency in SQL and experience with database technologies such as PostgreSQL, MySQL, or Oracle, Experience with data cleaning tools and techniques Solid understanding of relational databases and data modeling concepts Experience with cloud data warehousing solutions is a plus How Well Support You Training and development to help you excel in your career, Coaching and support from experts in your team, A culture of continuous learning to aid progression, A range of flexible benefits that you can tailor to suit your needs, About Us And Our Teams Please visit our company website for further information: https:// db /company/company htm We strive for a culture in which we are empowered to excel together every day This includes acting responsibly, thinking commercially, taking initiative and working collaboratively, Together we share and celebrate the successes of our people Together we are Deutsche Bank Group, We welcome applications from all people and promote a positive, fair and inclusive work environment, Show

Role: Data Engineer I Location: Bengaluru What you ll do We re MiQ, a global programmatic media partner for marketers and agencies. Our people are at the heart of everything we do, so you will be too. No matter the role or the location, we re all united in the vision to lead the programmatic industry and make it better. As a Data Engineer I in our technology department, you ll have the chance to: Excellent analytical and problem-solving skills Expert in at least one of the Big Data Technologies Expert in SQL, worked on advanced SQL Software solution development using Technologies such as MapReduce, Hive, Spark, Kafka, Yarn/Mesos etc Good Development and coding skills in Python, Java and RDBMS(Sql Queries) Who are your stakeholders The platform enables Data Scientists and Analysts to ingest, process, and analyze vast amounts of data effectively, leading to optimised models and insights With API first and data as a product approach, the product also has all the other capabilities as its customer base The platform is also leveraged quite extensively for all be-spoke market needs and hence local products also are stakeholders for Data Management platform What you ll bring Bachelor s or Master s degree in Engineering 1 - 2 years overall experience in Data Warehouse development and database design Software solution development using Hadoop Technologies such as MapReduce, Hive, Spark, Kafka, Yarn/Mesos etc Expert in SQL, worked on advanced SQL for at least 2+ years or as a Data warehouse administrator Good development skills in Java, Python or other languages Experience with EMR, S3 Knowledge and exposure to BI applications, e.g. Tableau, Qlikview We ve highlighted some key skills, experience and requirements for this role. But please don t worry if you don t meet every single one. Our talent team strives to find the best people. They might see something in your background that s a fit for this role, or another opportunity at MiQ. If you have a passion for the role, please still apply. What impact will you create As a Data Engineer I you will work on Data which is at the core of all programmatic decision-making. At MiQ we have our own interoperable and unified data platform that covers all aspects of data management from ingestion to processing to cataloguing. As a Data Engineer I you will work in a platform that enables Data Scientists and Analysts to ingest, process, and analyze vast amounts of data effectively, leading to optimised models and insights. You will work to bring the best-in-class platform that enables ease of data management with the right governance practises embedded in it. With stringent data security measures and ensuring compliance with regulations, engineers protect sensitive information and maintain customer trust. You will act as a pivot along with product who with their interactions with users and stakeholders, build the platform to accommodate business growth. You will continuously aspire to build and manage Data Platform with focus on scalability, future-proofing the data systems inline with changing programmatic trends. What s in it for you Our Center of Excellence is the very heart of MiQ, and it s where the magic happens. It means everything you do and everything you create will have a huge impact across our entire global business. MiQ is incredibly proud to foster a welcoming culture. We do everything possible to make sure everyone feels valued for what they bring. With global teams committed to diversity, equity, and inclusion, we re always moving towards becoming an even better place to work. Values Our values are so much more than statements . They unite MiQers in every corner of the world. They shape the way we work and the decisions we make. And they inspire us to stay true to ourselves and to aim for better. Our values are there to be embraced by everyone, so that we naturally live and breathe them. Just like inclusivity, our values flow through everything we do - no matter how big or small. We do what we love - Passion We figure it out - Determination We anticipate the unexpected - Agility We always unite - Unite We dare to be unconventional - Courage Benefits Every region and office have specific perks and benefits, but every person joining MiQ can expect: A hybrid work environment New hire orientation with job specific onboarding and training Internal and global mobility opportunities Competitive healthcare benefits Bonus and performance incentives Generous annual PTO paid parental leave, with two additional paid days to acknowledge holidays, cultural events, or inclusion initiatives. Employee resource groups designed to connect people across all MiQ regions, drive action, and support our communities. Apply today! Equal Opportunity Employer

Creating analytics and insight in a DQ setting (powerBI) Profiling and analysis skills (SAP Information Steward, Informatica) Solid understanding of data change methods incl. catalogues, glossaries and models Persuading, influencing and communication at a senior level Experience across both operational and analytics / science settings Builds and maintains effective analytics and escalation mechanisms which detect poor data and drive resolution Job Features Job Category IT Jobs inquiry now

We are looking for a dynamic and experienced Techno-Functional SAP SD + ABAP Consultant to support our SAP and BI integration initiatives. This role involves deep functional expertise in SAP SD, strong ABAP development skills, and the ability to collaborate with BI teams (QlikView/QlikSense) to enable seamless reporting and dashboard creation. The consultant will also help design foundational data models and security frameworks to support scalable, cross-platform analytics. Experience on SAP SD + ABAP SAP Version: ECC 6.0. Support QlikView or Qliksense team for building SAP reports by sharing technical details from SAP Drive SAP SD flow and validate output of reports as per client requirement. Skills and Knowledge: SAP SD, SAP ECC 6.0, SAP ABAP Apply We Are Looking For Ambitious, Experienced Developers! Glassdoor Have a referral?

Company Description The Smart Cube, a WNS company, is a trusted partner for high performing intelligence that answers critical business questions. And we work with our clients to figure out how to implement the answers, faster. Job Description Roles and ResponsibilitiesAssistant Managers are expected to understand client objectives and collaborate with the Project Lead to design appropriate analytical solutions. They should be able to translate business goals into structured deliverables with defined priorities and constraints. The role involves managing, organizing, and preparing data, conducting quality checks, and ensuring readiness for analysis.They should be proficient in applying statistical and machine learning techniques such as regression (linear/non-linear), decision trees, segmentation, time series forecasting, and algorithms like Random Forest, SVM, and ANN. Sanity checks and rigorous self-QC of all outputs, including work from junior analysts, are essential to ensure accuracy.Interpretation of results in the context of the client’s industry is necessary to generate meaningful insights. Assistant Managers should be comfortable handling client calls independently and coordinating regularly with onsite leads when applicable. They should be able to discuss specific deliverables or queries over calls or video conferences.They must manage projects from initiation through closure, ensuring timely and within-budget delivery. This includes collaborating with stakeholders to refine business needs and convert them into technical specifications, managing data teams, conducting performance evaluations, and ensuring high data quality. Effective communication between technical and business stakeholders is key to aligning expectations. Continuous improvement of analytics processes and methodologies is encouraged. The role also involves leading cross-functional teams and overseeing project timelines and deliverables.Client ManagementAssistant Managers will act as the primary point of contact for clients, maintaining strong relationships and making key decisions independently. They will participate in discussions on deliverables and guide project teams on next steps and solution approaches.Technical RequirementsCandidates must have hands-on experience connecting databases with Knime (e.g., Snowflake, SQL DB) and working with SQL concepts such as joins and unions. They should be able to read from and write to databases, utilize macros to automate tasks, and enable schedulers to run workflows. The ability to design and build ETL workflows and datasets in Knime for BI reporting tools is crucial. They must perform end-to-end data validation and maintain documentation supporting BI reports.They should be experienced in developing interactive dashboards and reports using PowerBI and leading analytics projects using PowerBI, Python, and SQL. Presenting insights clearly through PowerPoint or BI dashboards (e.g., Tableau, Qlikview) is also expected.Ideal CandidateThe ideal candidate will have 4 to 7 years of relevant experience in advanced analytics for Marketing, CRM, or Pricing within Retail or CPG; other B2C sectors may also be considered. Experience in managing and analyzing large datasets using Python, R, or SAS is required, along with the use of multiple analytics and machine learning techniques.They should be able to manage client communications independently and understand consumer-facing industries such as Retail, CPG, or Telecom. Familiarity with handling various data formats (flat files, RDBMS) and platforms (Knime, SQL Server, Teradata, Hadoop, Spark) in both on-premise and cloud environments is expected. A solid foundation in advanced statistical techniques such as regressions, decision trees, clustering, forecasting (ARIMA/X), and machine learning is essential.Other SkillsStrong verbal and written communication is a must. The candidate should be able to deliver client-ready outputs using Excel and PowerPoint. Knowledge of optimization techniques (linear/non-linear), supply chain concepts, VBA, Excel Macros, Tableau, and Qlikview is a plus. Qualifications Engineers from top tier institutes (IITs, DCE/NSIT, NITs) or Post Graduates in Maths/Statistics/OR from top Tier Colleges/UniversitiesMBA from top tier B-schools

Company Description The Smart Cube, a WNS company, is a trusted partner for high performing intelligence that answers critical business questions. And we work with our clients to figure out how to implement the answers, faster. Job Description Roles and ResponsibilitiesAssistant Managers must understand client objectives and collaborate with the Project Lead to design effective analytical frameworks. They should translate requirements into clear deliverables with defined priorities and constraints. Responsibilities include managing data preparation, performing quality checks, and ensuring analysis readiness. They should implement analytical techniques and machine learning methods such as regression, decision trees, segmentation, forecasting, and algorithms like Random Forest, SVM, and ANN.They are expected to perform sanity checks and quality control of their own work as well as that of junior analysts to ensure accuracy. The ability to interpret results in a business context and identify actionable insights is critical. Assistant Managers should handle client communications independently and interact with onsite leads, discussing deliverables and addressing queries over calls or video conferences.They are responsible for managing the entire project lifecycle from initiation to delivery, ensuring timelines and budgets are met. This includes translating business requirements into technical specifications, managing data teams, ensuring data integrity, and facilitating clear communication between business and technical stakeholders. They should lead process improvements in analytics and act as project leads for cross-functional coordination.Client ManagementThey serve as client leads, maintaining strong relationships and making key decisions. They participate in deliverable discussions and guide project teams on next steps and execution strategy.Technical RequirementsAssistant Managers must know how to connect databases with Knime (e.g., Snowflake, SQL) and understand SQL concepts such as joins and unions. They should be able to read/write data to and from databases and use macros and schedulers to automate workflows. They must design and manage Knime ETL workflows to support BI tools and ensure end-to-end data validation and documentation.Proficiency in PowerBI is required for building dashboards and supporting data-driven decision-making. They must be capable of leading analytics projects using PowerBI, Python, and SQL to generate insights. Visualizing key findings using PowerPoint or BI tools like Tableau or Qlikview is essential.Ideal CandidateCandidates should have 4–7 years of experience in advanced analytics across Marketing, CRM, or Pricing in Retail or CPG. Experience in other B2C domains is acceptable. They must be skilled in handling large datasets using Python, R, or SAS and have worked with multiple analytics or machine learning techniques. Comfort with client interactions and working independently is expected, along with a good understanding of consumer sectors such as Retail, CPG, or Telecom.They should have experience with various data formats and platforms including flat files, RDBMS, Knime workflows and server, SQL Server, Teradata, Hadoop, and Spark—on-prem or in the cloud. Basic knowledge of statistical and machine learning techniques like regression, clustering, decision trees, forecasting (e.g., ARIMA), and other ML models is required.Other SkillsStrong written and verbal communication is essential. They should be capable of creating client-ready deliverables using Excel and PowerPoint. Knowledge of optimization methods, supply chain concepts, VBA, Excel Macros, Tableau, and Qlikview will be an added advantage. Qualifications Engineers from top tier institutes (IITs, DCE/NSIT, NITs) or Post Graduates in Maths/Statistics/OR from top Tier Colleges/UniversitiesMBA from top tier B-schools

Your Role Administer and maintainQlik Replicateenvironments on bothLinux and Windowsplatforms. Perform regularversion upgrades, patching, and performance tuning of Qlik Replicate. Set up and manage variousendpointsand ensure secure data replication usingHTTPS/HTTP/SSL certificates. Develop and maintainautomation scriptsusingPerl, Shell, and PowerShellfor system integration and monitoring. Conductcapacity planningandtrend analysisto forecast database growth and resource requirements. Your Profile 4 to 12 yearsof experience inQlik Replicate administrationandLinux/Unix server management. Strong understanding ofrelational database architectureanddata replication concepts. Hands-on experience withQlik Replicate version upgrades, endpoint configuration, and SSL setup. Proficient inscripting languagessuch asPerl, Shell, and PowerShell. Experience inLinux system administration, including storage and filesystem setup. What You Will Love Working at Capgemini Work onenterprise-scale data replicationand infrastructure projects supporting global operations. Gain exposure tocutting-edge data integration toolsandcross-platform environments. Clear career progression fromoperations to architecture and leadership roles. Be part ofhigh-impact projectsthat drivedata reliability, availability, and performance.

Your role Responsible for conducting and successfully completing the training delivery of program(s) assigned, by applying various training methods / innovation / gamification to accommodate diverse learning styles and preferences Responsible for creation / curation of new programs/ courses/ assessment/artifacts and deliver training, on need basis Collaborate closely with stakeholders from different teams (L&D, CFMG, BU, Vendor) to ensure seamless execution of training programs, with quality outcome Assess training effectiveness, analyse feedback, refine/revamp training materials to align with curriculum signed off by BU SMEs to maximize the learning outcomes and improve learner experience Upskill/upgrade on new & relevant skills aligned to the organization need, get certifications, to further enhance the expertise, stay competitive and grow professionally, while keeping abreast of the skills, fostering culture of continuous learning and development Skills: Oracle SQL/ MS SQL Server DWH & ETL Concepts UNIX Python/Java Big Data Technologies ETL Tool - Informatica Powercenter Reporting Tool Tableau/Power BI Your profile Strategize, implement, and maintain program initiatives that adhere to organizational objectives Training Delivery for I&D Skills Develop program assessment protocols for evaluation and improvement Ensure overall program goal & objectives effectively Work closely with cross-functional teams Apply change, risk and resource management Analyse, evaluate, and overcome program risks, and produce program reports for management and stakeholders Ensuring effective quality outcome and the overall integrity of the program Proactively monitoring progress, resolving issues and initiating appropriate corrective action Project management What you"ll love about working here Were committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you canbring your original self to work. Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also get to participate in internalsports events, yoga challenges, or marathons. At Capgemini, you can work oncutting-edge projectsin tech and engineering with industry leaders or createsolutionsto overcome societal and environmental challenges.

Job Description What will you be doing? Develop Real Time Streaming & Batch Data Pipelines. Deliver high-quality data engineering components and services that are robust and scalable. Collaborate and communicate effectively with cross-functional teams to ensure delivery of strong results. Employ methodical approaches to Data Modeling, Data Quality, and Data Governance. Provide guidance on architecture, design, and quality engineering practices to the team. Leverage foundational Data Infrastructure to support analytics, BI, and visualization layers. Work closely with data scientists on feature engineering, model training frameworks, and model deployments at scale. What are we looking for? BS/MS in Computer Science or related field, or an equivalent combination of education and experience. A minimum of 6 years of experience in software engineering, with hands-on experience in building data pipelines and big data technologies. Proficiency with Big Data technologies such as Apache Spark, Apache Iceberg, Amazon Redshift, Athena, EMR, and other AWS services (S3, Lambda, EMR). Expertise in at least one programming language: Python, Java, or Scala. Extensive experience in designing and building data models, integrating data from various sources, building ETL/ELT and data-flow pipelines, and supporting all parts of the data platform. Expert-level SQL programming knowledge and experience. Experience with any enterprise reporting and/or data visualization tools like Strategy, Cognos, Tableau, Looker, PowerBI, Superset, QlikView etc. Strong data analysis skills, capable of making data-driven arguments and effective visualizations. Energetic, enthusiastic, and detail-oriented. Bonus Points Experience in e-commerce/retail domain. Knowledge on StarRocks. Knowledge in Web Services, API integration, and data exchanges with third parties. Familiarity with basic statistical analysis and machine learning concepts. A passion for producing high-quality analytics deliverables.

Description Amazon Ads is one of the fastest growing businesses within Amazon and has become a major driver of profitability WW. We strive to help shoppers in their buying journey by showing them relevant ads that empower them to make informed buying decisions. We help our advertisers (i.e. suppliers on Amazon) promote their products, tell their brand story, talk about their USPs and acquire new customers. We are looking for a Sr. Product Manager to lead a few large long term initiatives to drive growth. You will join a fast-paced team and work with a dedicated engineering and ML team to design, build, and roll-out products. You will be responsible for the complete roadmap of your product area including establishing key metrics, setting and meeting goals on business/product metrics. You will own and driving key business and CX metrics like advertising revenue, advertiser retention, etc. Key job responsibilities Identify India specific growth opportunities for the advertisement business, develop strategies to address them and drive initiatives that capitalize on these opportunities to further grow the business. Create high quality, simple product roadmaps with both a near term (2-3 quarters) and long term view. Develop detailed, crisp business requirements and user stories that can be used to create product specifications and architecture for each product and application. Prioritize projects basis the right tradeoffs between shopper experience, advertiser experience and ad revenue. Dive deep into data to identify opportunities to expand ad supply, coverage and ad monetization. Work with sellers, brands, media agencies, global product development teams and software development teams to identify and prioritize requirements for product roadmap. Manage all projects, including organizing and planning, estimating, managing resources, tracking and managing projects, managing risk & opportunity, managing quality. Solve advertiser and shopper pain points through product enhancements. Basic Qualifications Bachelor's degree Experience owning/driving roadmap strategy and definition Experience with feature delivery and tradeoffs of a product Experience contributing to engineering discussions around technology decisions and strategy related to a product Experience managing technical products or online services Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning Preferred Qualifications Experience in using analytical tools, such as Tableau, Qlikview, QuickSight Experience in building and driving adoption of new tools Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ASSPL - Karnataka Job ID: A3026169

What will you be doing? Develop Real Time Streaming & Batch Data Pipelines. Deliver high-quality data engineering components and services that are robust and scalable. Collaborate and communicate effectively with cross-functional teams to ensure delivery of strong results. Employ methodical approaches to Data Modeling, Data Quality, and Data Governance. Provide guidance on architecture, design, and quality engineering practices to the team. Leverage foundational Data Infrastructure to support analytics, BI, and visualization layers. Work closely with data scientists on feature engineering, model training frameworks, and model deployments at scale. What are we looking for? BS/MS in Computer Science or related field, or an equivalent combination of education and experience. A minimum of 6 years of experience in software engineering, with hands-on experience in building data pipelines and big data technologies. Proficiency with Big Data technologies such as Apache Spark, Apache Iceberg, Amazon Redshift, Athena, EMR, and other AWS services (S3, Lambda, EMR). Expertise in at least one programming language: Python, Java, or Scala. Extensive experience in designing and building data models, integrating data from various sources, building ETL/ELT and data-flow pipelines, and supporting all parts of the data platform. Expert-level SQL programming knowledge and experience. Experience with any enterprise reporting and/or data visualization tools like Strategy, Cognos, Tableau, Looker, PowerBI, Superset, QlikView etc. Strong data analysis skills, capable of making data-driven arguments and effective visualizations. Energetic, enthusiastic, and detail-oriented. Bonus Points Experience in e-commerce/retail domain. Knowledge on StarRocks. Knowledge in Web Services, API integration, and data exchanges with third parties. Familiarity with basic statistical analysis and machine learning concepts. A passion for producing high-quality analytics deliverables.

Join us as an Assistant Vice President Model Execution at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences, You may be assessed on the key critical skills relevant for success in role, such as experience with planning and stress testing, model validation, reporting as well as job-specific skillsets, To Be Successful In This Role, You Should Have Strong written and verbal communication skills, Sound understanding of financial statement analysis, Good understanding of financial markets and relationships with major macroeconomic variables, Experience in building and maintenance of financial models on MS Excel, and the ability to crunch numbers from large datasets and produce actionable insights/analytics, Robust analytical and problem solving skills, Ability to work with multiple teams to drive business outcomes, Some Other Highly Values Skills Include Post-graduate degree or equivalent in Finance / Accounting Candidates with CFA/FRM charters are desirable but this is not a mandate, Prior experience in forecasting, valuations and/or developing / execution of stress testing models in the banking industry, Understanding of key model risk management principles prescribed by global regulators, Hands-on experience in using tools such as Python, Alteryx, Tableau or Qlikview is desirable but not a mandate, This role will be based out of Chennai, Purpose of the role To develop strategic infrastructure requirements, onboard current model suite & new quantitative model methodologies, redevelop models based on monitoring, IVU feedback and business changes and perform validation process, Accountabilities Delivery of advanced model analytics, improve stability and bring consistency in calculation approach, Leading technical engagements with QA and IVU for strategic redevelopment project on behalf of FTC, Provision of model execution, output analysis and lifecycle management capabilities across use cases for both forecasting and BAU models, Implementation of process improvements though enhanced controls, automation and improved analytics, Delivery of advanced model analytics (Recalibration, Sensitivity, root cause analysis etc), Controls and testing: Addressing execution issues with IT and QA, Perform UAT as part of model product ionisation, Cataloguing of issues, potential improvement for model redevelopment, authoring technical documentation with QA, Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness Collaborate closely with other functions/ business divisions, Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard The four LEAD behaviours are: L Listen and be authentic, E Energise and inspire, A Align across the enterprise, D Develop others, OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes, Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues, Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda, Take ownership for managing risk and strengthening controls in relation to the work done, Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function, Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy, Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc) to solve problems creatively and effectively, Communicate complex information 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience, Influence or convince stakeholders to achieve outcomes, All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship our moral compass, helping us do what we believe is right They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge and Drive the operating manual for how we behave, Show

Roles and ResponsibilitiesAssistant Managers must understand client objectives and collaborate with the Project Lead to design effective analytical frameworks. They should translate requirements into clear deliverables with defined priorities and constraints. Responsibilities include managing data preparation, performing quality checks, and ensuring analysis readiness. They should implement analytical techniques and machine learning methods such as regression, decision trees, segmentation, forecasting, and algorithms like Random Forest, SVM, and ANN.They are expected to perform sanity checks and quality control of their own work as well as that of junior analysts to ensure accuracy. The ability to interpret results in a business context and identify actionable insights is critical. Assistant Managers should handle client communications independently and interact with onsite leads, discussing deliverables and addressing queries over calls or video conferences.They are responsible for managing the entire project lifecycle from initiation to delivery, ensuring timelines and budgets are met. This includes translating business requirements into technical specifications, managing data teams, ensuring data integrity, and facilitating clear communication between business and technical stakeholders. They should lead process improvements in analytics and act as project leads for cross-functional coordination.Client ManagementThey serve as client leads, maintaining strong relationships and making key decisions. They participate in deliverable discussions and guide project teams on next steps and execution strategy.Technical RequirementsAssistant Managers must know how to connect databases with Knime (e.g., Snowflake, SQL) and understand SQL concepts such as joins and unions. They should be able to read/write data to and from databases and use macros and schedulers to automate workflows. They must design and manage Knime ETL workflows to support BI tools and ensure end-to-end data validation and documentation.Proficiency in PowerBI is required for building dashboards and supporting data-driven decision-making. They must be capable of leading analytics projects using PowerBI, Python, and SQL to generate insights. Visualizing key findings using PowerPoint or BI tools like Tableau or Qlikview is essential.Ideal CandidateCandidates should have 4–7 years of experience in advanced analytics across Marketing, CRM, or Pricing in Retail or CPG. Experience in other B2C domains is acceptable. They must be skilled in handling large datasets using Python, R, or SAS and have worked with multiple analytics or machine learning techniques. Comfort with client interactions and working independently is expected, along with a good understanding of consumer sectors such as Retail, CPG, or Telecom.They should have experience with various data formats and platforms including flat files, RDBMS, Knime workflows and server, SQL Server, Teradata, Hadoop, and Spark—on-prem or in the cloud. Basic knowledge of statistical and machine learning techniques like regression, clustering, decision trees, forecasting (e.g., ARIMA), and other ML models is required.Other SkillsStrong written and verbal communication is essential. They should be capable of creating client-ready deliverables using Excel and PowerPoint. Knowledge of optimization methods, supply chain concepts, VBA, Excel Macros, Tableau, and Qlikview will be an added advantage. Qualifications Engineers from top tier institutes (IITs, DCE/NSIT, NITs) or Post Graduates in Maths/Statistics/OR from top Tier Colleges/UniversitiesMBA from top tier B-schools Job Location

Job Title: Business Intelligence (BI) Developer 27165 Location: Goregaon East, Mumbai (Nesco) Work Mode: Hybrid (4 days from office, 1 day remote) Work Hours: 12:30 PM – 9:30 PM IST Interview Process: 2 In-person rounds Notice Period: Immediate joiners preferred Travel Time: Should not exceed 1 hour Role Summary A key engineering role within the Technology Organization, this position supports the Information Solutions function, responsible for delivering and operating data architecture, pipelines, platforms, and analytic solutions in alignment with overall data strategy. The BI Developer will collaborate with stakeholders across the enterprise to implement modern data engineering practices, data integration, and insightful business intelligence solutions. Key Responsibilities Design and develop ETL routines to integrate data from diverse source systems. Define source-to-target mappings, transformation logic, and business rules. Develop dashboards and paginated reports using tools like Power BI and SSRS. Ensure data quality through process adherence and appropriate tooling. Contribute to and maintain data catalogs and dictionaries. Build and maintain data marts and data lakes to support enterprise initiatives. Perform business analysis to identify data requirements and drive insights. Translate business problems into data models and actionable solutions. Lead the design, development, and maintenance of complex BI reports and dashboards. Collaborate with business users to validate data outputs and train teams in BI tool usage. Initiate and lead analytics projects focused on business optimization. Provide technical support for the Microsoft BI stack. Conduct comprehensive data analysis and support warehouse/data mart solutions. Lead end-to-end design sessions for data integration projects. Deliver scalable and reusable BI solutions aligned with evolving business needs. Required Skills & Experience SQL Server Integration Services (SSIS): 3+ years SQL Server Reporting Services (SSRS): 3+ years SQL Server Analysis Services (SSAS): 3+ years Microsoft Business Intelligence (MSBI): 2+ years SQL Server databases: 4+ years Experience in data warehousing and data integration processes. Expertise in developing data models and visualizations with Power BI. Strong knowledge of paginated reports and SSRS design. Proficiency in data analysis, ETL optimization, and automation. Experience in designing dashboards, visual analytics, and reports. Solid command of Microsoft Excel. Excellent communication, documentation, and stakeholder engagement skills. Ability to work independently in a fast-paced environment. Nice To Have Experience with advanced analytics tools such as R, Python, SAS, or Scala. Exposure to DevOps practices and CI/CD pipelines. Familiarity with cloud platforms like Azure, AWS, or Snowflake. Experience with Power BI Report Server setup and administration. Background in data lake architecture and reference data management. Exposure to other BI tools such as Tableau, QlikView/QlikSense, or MicroStrategy. Skills: integration,data,design,data analysis,sql server integration services (ssis),intelligence,sql server reporting services (ssrs),etl optimization,business intelligence,dashboard design,data integration,microsoft excel,data warehousing,sql server analysis services (ssas),visualizations,microsoft business intelligence (msbi),sql server databases,power bi,data models

The Applications Development Manager position at our company involves providing leadership and direction to a team of employees to establish and implement new or revised application systems and programs in coordination with the Technology team. This role also includes resource planning and negotiating with external parties when necessary. Responsibilities: - Bachelor's degree with a minimum of 7 years of BI experience - Interact with Business users to understand their requirements from a data analytics, visualization, and UI/UX perspective - Design and Develop Dashboards in Tableau using different data sources - Analyze data to find patterns and valuable business insights - Facilitate change and innovation to legacy systems and processes - Manage deliverables, coordinate with onshore teams, and prioritize technical issue resolution - Requirement gathering, effort estimation, technical design, project planning, and monitoring - Review day-to-day delivery work, implement robust processes, identify project/program delivery risks, and work on risk mitigation Skills Required: - Professional experience in building Reports, Dashboards, and Scorecards - Strong knowledge of Tableau desktop, Tableau Prep, and Tableau server - Strong Data Modelling skills - Working knowledge of QlikView/QlikSense and MicroStrategy - Experience in creating functional and technical documents - Experience working in Agile projects - Proficiency in tuning Dashboards and Reports - Strong SQL skills in at least one DB - SQL server, Oracle, etc. - Exposure to Big Data connectivity with Tableau/Qlik - Experience in connecting API with Tableau server - Tableau mobile development - Integration of Tableau with R or Python Good to Have: - Knowledge of cloud technology - Knowledge of programming languages html, JavaScript Education: - Bachelors degree/University degree or equivalent experience Citi is an equal opportunity and affirmative action employer. Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi.,

About ZEISS Group ZEISS is an internationally leading technology enterprise operating in the fields o f optics and optoelectronics. In the previous fiscal year, the ZEISS Group generated annual revenue totaling 10 billion euros in its four segments Semiconductor Manufacturing Technology, Industrial Quality & Research, Medical Technology and Consumer Markets. Job purpose : The Supply Chain Analyst will be at the forefront of transforming our supply chain operations, leveraging cutting-edge technologies and data-driven insights to drive efficiency, reduce costs, and enhance quality. In this pivotal role, you will harness advanced analytical tools, including artificial intelligence (AI) and machine learning (ML), to uncover trends, forecast demand, and support smarter decision-making. We’re looking for a detail-oriented, forward-thinking professional with a deep understanding of supply chain processes and exceptional analytical skills. As a key collaborator, you’ll work across departments gather insights, solve complex problems, and recommend innovative strategies to optimize supply chain performance. Staying ahead of the latest advancements in supply chain analytics and technology will be essential to your success in this role. If you’re passionate about using data to create meaningful impact and thrive in a dynamic, fast-paced environment, this is your opportunity to make a difference and shape the future of supply chain excellence. Main Accountabilities : Data Analysis & Reporting AI-Driven Insights Trend Monitoring Collaboration Process Optimization Skills & Knowledge requirement : Skills : Handling multiple projects & demanding timelines Result oriented mindset with project management skills Ability to identify and implement cutting-edge solutions to complex supply chain challenges. Well versed in implementing Automation, AI-driven solutions in a supply chain environment. Knowledge of emerging technologies like blockchain and IoT in supply chain processes. Technical Skills: Proficiency in data visualization tools (e.g., Tableau, Power BI). Strong knowledge of supply chain management software (e.g., SAP, Oracle). Advanced Excel skills and familiarity with SQL and ETL for data extraction, integration and analysis. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and presentation abilities. A proactive mindset with a passion for innovation and continuous learning. Willingness to learn and adapt to rapidly evolving technologies and methodologies. Strong interpersonal skills to work effectively with internal and external stakeholders. Tools & Systems: Advanced MS Excel, Advance Excel Skills & macros. Good knowledge of SAP or any other ERP. Power BI development and administration. VBA Scripting (added advantage). Should be familiar and experienced in SQL. PMP Project Management skills. Hands on experience of analytics tools like QlikView, Tableau, R is a plus. Job Qualification: Education: Batchelor Degree with specialization in Data analytics / Supply chain Experience: 3+ Years in Supply Chain Planning/ Analytics/ Process improvement/ project delivery Certification in supply chain management (e.g., APICS, CSCP) six sigma or data analytics is an added advantage.

As the Manager- Data Science at Holcim, you will play a crucial role in the Groups Global Advanced Analytics CoE by enabling our Businesses for Insights Driven Operations and Decision making through the utilization of cutting edge Analytics tools and techniques. Your primary responsibility will involve working closely with Business / Domain Subject Matter Experts to understand pain points and opportunities, and develop analytical models to identify patterns and predict outcomes of key business processes. You will be required to identify the most suitable modeling techniques and apply Machine Learning and Deep Learning Algorithms to create self-correcting models and algorithms. It will be essential to collaborate with Product Development teams to industrialize AI / ML models and conduct rapid and iterative prototyping of minimum viable solutions. Additionally, you will test hypotheses on raw datasets to derive meaningful insights and identify new opportunity areas. Your role will encompass all aspects of data including data acquisition, data exploration, feature engineering, building and optimizing models, and deploying Gen AI Solutions. You will be involved in designing full stack ML solutions in a distributed computing environment such as AWS and GCP, with the possibility of developing ML solutions for deployment on the edge or mobile devices if required. To be successful in this role, you should possess a total experience of 12-15 years with at least 8 years of relevant Analytics experience. Industry Experience and knowledge, particularly in Manufacturing/ Operations Functions within the Building Material Industry, Manufacturing, Process, or Pharma sectors, is preferred. Hands-on experience in statistical and data science techniques, as well as developing and deploying Gen AI Solutions, will be critical for this position. In terms of technical skills, you should have over 8 years of hands-on experience in advanced Machine Learning & Deep Learning techniques and algorithms, such as Decision Trees, Random Forests, SVMs, Regression, Clustering, Neural Networks, CNNs, RNNs, LSTMs, and Transformers. Proficiency in statistical computer languages like Python and PySpark to manipulate data and draw insights from large datasets is essential. Experience with Cloud platforms like AWS, DL frameworks such as TensorFlow, Keras, or PyTorch, and familiarity with business intelligence tools and data frameworks will be advantageous. In addition to technical skills, leadership and soft skills are equally important for this role. You should lead by example on values and culture, be open-minded, collaborative, and an effective team player. Working in a multicultural and diverse team, dealing with ambiguity, and communicating openly and effectively with various stakeholders are key aspects of this position. Being driven for success, aspiring to a culture of service excellence, and always prioritizing customer satisfaction, people, and business are qualities that will set you up for success in this role. If you are motivated by the opportunity to make a significant impact through data-driven decisions and innovative solutions, we invite you to build your future with us at Holcim by applying for this role.,

As a QlikView Administrator at Strawberry InfoTech in Gurugram, you will be responsible for installing, configuring, and maintaining QlikView servers, developing and supporting QlikView applications, troubleshooting issues, and ensuring system performance and availability. You will provide 1st and 2nd level support for Qlik applications, including QlikView, Qlik Sense, and Qlik NPrinting. Your responsibilities will include troubleshooting and resolving issues related to data loads, application performance, and user access, as well as monitoring application performance, data load processes, and system health. You will assist end-users with navigation, report generation, and application functionalities, track and document issues, resolutions, and changes, and escalate complex issues to higher levels as needed. Additionally, you will ensure data accuracy and integrity by validating data loads and performing necessary checks, collaborate with developers, data engineers, and business analysts to implement fixes and enhancements, support the implementation of system upgrades, patches, and enhancements, maintain up-to-date support and process documentation, user guides, and best practices, and provide training and guidance to end-users on how to effectively use Qlik applications. To qualify for this role, you should have a Bachelor's degree in Computer Science, Information Technology, or a related field, along with 5+ years of experience as a QlikView Administrator. You should possess proficiency in QlikView, Qlik Sense, and Qlik NPrinting, a good understanding of data modeling and ETL processes in Qlik, familiarity with SQL and data visualization concepts, and experience in troubleshooting application and data-related issues. Strong analytical and problem-solving skills, excellent communication and interpersonal skills, and the ability to work independently and in a team environment are essential for this role. Qlik certifications (e.g., QlikView Developer, Qlik Sense Data Architect) are considered a plus. If you are interested in this opportunity, please share your updated resume at deepak.k@strawberryinfotech.com.,

As a CONTROL TOWER MANAGER - Operations at India's Fastest Growing Q Commence Company, you are expected to have a minimum of 3+ years of experience and will be based in Bangalore. Your technical skills should include expertise in SQL, Excel, and scripting languages such as R and Python. Additionally, experience with BI tools like Power BI, Tableau, Qlikview, and Google Data Studio will be considered a plus. In this role, you will collaborate with customer support teams to enhance the customer experience, reduce contacts, and streamline operations for increased efficiency. You will also work closely with tech-product teams to develop sustainable analytical or business products. Your responsibilities will involve modeling data to establish reporting infrastructure and dashboards for business process management and data mining. You will be required to closely collaborate with business and product teams to facilitate data-driven decision-making. Furthermore, conducting quantitative analysis to derive actionable insights, promoting data-driven decision-making processes among stakeholders, identifying new business opportunities through data analysis, and encouraging innovative solutions to business problems within your team will be part of your duties.,

You will be responsible for publishing Business Health Dashboards and raising the alarm on key KPIs to help the business make informed decisions. Your role will involve supporting the business by publishing Business Dashboards, managing adhoc data requirements for Business Reviews, and extracting data for Regulatory/Statutory reporting. Additionally, you will be expected to generate business insights from data through detailed analysis and distribute Business dashboards accurately and in a timely manner. It will be your responsibility to ensure that Business Dashboards across Business verticals provide a comprehensive view and to provide strong reporting and analytical information support to the management team. You will also be required to provide recommendations to update current MIS to enhance reporting efficiency and consistency while generating both periodic and ad hoc reports as needed to support Business, Audit, and Regulatory requirements. A good understanding of Banking Products and KPIs is essential for this role, along with programming expertise in SQL, SAS (preferably Python), proficiency in Visualization Tools like QlikView/Tableau and MS Excel, and good written and oral communication skills. If you are seeking a new challenge, a great work environment, and an opportunity to advance your career, apply today to be a part of our dynamic team at Workassist. We are excited to welcome talented individuals like you who are ready to make a difference. Visit our website for more opportunities: https://bit.ly/3QBfBU2.,