1826 Data Mining Jobs - Page 22

Job Description 6 To 10 years of experience as a Python Developer with a strong portfolio of projects. Bachelor's degree in Computer Science, Software Engineering or a related field. In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Experience with front-end development using HTML, CSS, and JavaScript. Experience in Gen AI, LanGraph, Launch AI, Open AI, Chat GPT, Mini 4.2,Lamda2 Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills. Preferred skills and qualifications Experience with popular Python frameworks such as Django, Flask or Pyramid. Knowledge of data science and machine learning concepts and tools. A working understanding of cloud platforms such as AWS, Google Cloud or Azure. Contributions to open-source Python projects or active involvement in the Python community. Proficiency with data mining, mathematics, and statistical analysis Advanced experience in pattern recognition and predictive modeling Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS) Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects Qualifications 6 TO 10 years of experience as a Python Developer with a strong portfolio of projects. Bachelor's degree in Computer Science, Software Engineering or a related field. In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Experience with front-end development using HTML, CSS, and JavaScript. Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills. Preferred skills and qualifications Experience with popular Python frameworks such as Django, Flask or Pyramid. Knowledge of data science and machine learning concepts and tools. A working understanding of cloud platforms such as AWS, Google Cloud or Azure. Contributions to open-source Python projects or active involvement in the Python community. Proficiency with data mining, mathematics, and statistical analysis Advanced experience in pattern recognition and predictive modeling Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS) Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy Data & Analytics Behind one of the worlds best loved brands is a uniquely capable and brilliant team of data scientists, engineers and analysts. The Target Data & Analytics team creates the tools and data products to sustainably educate and enable our business partners to make great data-based decisions at Target. We help develop the technology that personalizes the guest experience, from product recommendations to relevant ad content. Were also the source of the data and analytics behind Targets Internet of Things (iOT) applications, fraud detection, Supply Chain optimization and demand forecasting. We play a key role in identifying the test-and-measure or A/B test opportunities that continuously help Target improve the guest experience, whether they love to shop in stores or at Target.com. About you: Four-year degree or equivalent experience 3+ year as a Data Analyst with strong academic performance in a quantitative field; or strong equivalent experience [add any specific analyst experience needed here] Advanced SQL experience writing complex queries Intermediately accomplished with Python or R Solid problem solving, analytical skills, data curiosity, data mining, Data creation and consolidation Support conclusions with a clear, understandable story that leverages descriptive statistics, basic inferential statistics, and data visualizations Willingness to ask questions about business objectives and the measurement needs for a project workstream, and be able to measure objectives & key results Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them Knowledge of AB Testing methods, time series, S&OP planning, Forecasting models including statistical analysis Experience in analytics tools such asSQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics (or Google Analytics) and/or equivalent technologies Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Ebizneeds (India) Internet Solutions Pvt. Ltd is looking for Data Analyst to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

The Maintenance Automation Platform (MAP) team within the Global Reliability and Maintenance Engineering (RME) Central Team is looking for an exceptional business intelligence engineer to join us. In this role, you will work on an analytical team to bust myths, create insights, and produce recommendations to help Central RME to deliver world class service to the Amazon network. As part of the team will be involved in all phases of research, experiment, design and analysis, including defining research questions, designing experiments, identifying data requirements, and communicating insights and recommendations. Youll also be expected to continuously learn new systems, tools, and industry best practices to analyze big data and enhance our analytics. These are exciting fast-paced businesses in which we get to work on extremely interesting analytical problems, in an environment where you get to learn from other engineers and apply business intelligence to help leadership make informed decisions. Your work focuses on complex and/or ambiguous problem areas in existing or new BI initiatives. You take the long term view of your teams solutions and how they fit into the team s architecture. You consider where each solution is in its lifecycle and where appropriate, proactively fix architecture deficiencies You understand capabilities and limitations of the systems you work with (e.g. cluster size, concurrent users, data classification). You are able to explain these limitations to technical and non-technical audiences, helping them understand what s currently possible and which efforts need a technology investment You take ownership of team infrastructure, providing a system-wide view and design guidance. You make things simpler. You drive BI engineering best practices (e.g. Operational Excellence, code reviews, syntax and naming convention, metric definitions, alarms) and set standards. You collaborate with customers and other internal partners to refine the problem into specific deliverables, and you understand the business context well enough to recommend alternatives and anticipate future requests. In addition to stakeholders, you may work with partner teams (business and technical) and Data Engineers/Data Scientists/BA/SDES/other BIEs to design and deliver the right solution. You contribute to the professional development of colleagues, improving their business and technical knowledge and their understanding of BI engineering best practices. Own the development, and maintenance of ongoing metrics, reports, analyses, dashboards on the key drivers of our business Partner with operations and business teams to consult, develop and implement KPI s, automated reporting solutions and infrastructure improvements to meet business needs Develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support business needs Perform both ad-hoc and strategic analyses Strong verbal/written communication and presentation skills, including an ability to effectively communicate with both business and technical teams. 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

As a Senior DevOpsEngineer, you will play a pivotal role in designing, implementing, andmaintaining scalable, secure, and efficient cloud-based systems within a hybridcloud environment (on-prem and cloud). Your expertise in OpenShift, Cloudtechnologies (AWS, Google), and CI/CD pipelines will contribute to the successof our cloud-driven initiatives. Requirements Key Responsibilities Design,implement, and maintain scalable, secure, and efficient cloud-based systemsusing OpenShift and Cloud technologies (AWS, Google) Developand maintain CI/CD pipelines to ensure smooth deployment and delivery ofapplications Collaboratewith cross-functional teams to ensure seamless integration of cloud-basedsystems with on-prem infrastructure Ensurecompliance with security, governance, and regulatory requirements in a hybridcloud environment Optimizecloud costs, performance, and reliability Maintainexpert-level proficiency in OpenShift, Cloud technologies (AWS, Google), andCI/CD pipelines Createand maintain comprehensive documentation for all cloud-based systems andprocesses Exploreopportunities to automate deployment and data processes Identifyand resolve technical issues related to cloud-based systems and CI/CD pipelines Technology skills BusinessIntelligence Tools: MicroStrategy, Power BI, Tableau DataWarehousing: Data modeling, ETL processes DataVisualization: Data visualization best practices CloudPlatforms: Google Cloud (BIG Query) DataMining and Predictive Modeling: Statistical modeling, machine learning AgileDevelopment Methodologies: Agile project management LargeDatasets: Data management, data governance Alteryxand similar tools: Data preparation, data blending OperatingSystems: Windows, Linux Database Management Systems: Relationaldatabases, NoSQL databases. Required qualifications to be successful inthis role Bachelorsdegree in Computer Science, Information Technology, or related field Total5+ years of experience in DevOps, Cloud Computing, or related field Provenexperience in designing and implementing cloud-based systems using OpenShiftand Cloud technologies (AWS, Google) Strongknowledge of CI/CD pipelines, containerization, and cloud security Excellentproblem-solving skills, with the ability to work collaboratively in afast-paced environment Strongleadership skills with risk management, results-oriented, and customer-focused Abilityto adapt and work in a hybrid cloud environment with good tolerance toambiguity and manage multiple projects

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Geographic Info. Systems(Car support). Experience: 3-5 Years.

Overview Knowledge about exhibition / concept selling Space selling for Exhibitions, Selling spaces magazines B2B selling of spaces in exhibitions & print spaces To do prospecting, data mining, cold calling, B2B meetings, closing the sales and contributing to the revenue generation for the company Research and develop a list of potential exhibitors when required Develop existing as well as the new accounts, Develop and maintain relationships with existing and potential sponsorship clients and Exhibitors Design presentations and marketing campaigns for the promotion of the products. To understand the clientrsquos requirements, conduct product demonstration To follow up, close the sales and to build relationship with the clients after the closure of the sales cycle. Enhance the sales performance Handling enquiries on the telephone, by email and by post, producing mailings and general office correspondence. Preparing promotional material to advertise sales opportunities Speaking to decision makers within defined business sectors and visiting clients when necessary. Team handling skills Inter Personal Skills: Excellent in Verbal and Written Business Communication/ Presentation Skills. Sincere, Hard Worker, Passionate and Quick Learner of new Tools & Technologies. Interest in using Technology and the Internet for improvisation of work efficiency Software & Computer Skills Hands on Experience using Operating Systems like Microsoft Windows (7 Pro, XP, Vista) , Linux. Good Hands on experience using tools of Microsoft Office Professional (Word, Excel, PowerPoint, Outlook, Access, One Note) . Before applying for this position you need to submit your online resume . Click the button below to continue. About Eventraa Rural India Exhibition We are the leading Indian exhibition organizer company. Our purpose is to champion the specialist. Through hundreds of powerful brands we work with business and professionals in specialist markets, providing the connection, intelligence and opportunities that help customers grow, do business, make breakthroughs and take better informed decisions. To grow, do business, make breakthroughs, develop careers and take better informed decision, specialists look for highly relevant, quality and trusted knowledge, information and connections. Our brands and expert team deliver events and exhibitions, create intelligence-based products and data driven services, convene communities in person and digitally and provide access to cutting-edge research for customer working in specialist markets, worldwide. Each of our operating divisions has a distinct focus. Learn more about the brands, products and services we provide, and see our organization structure and the guiding principal that underpin our business.

Internet Research and Fact Checking. Data Collection through Internet research. Product Uploading, Picture Uploading, E-Commerce Management. Data Entry. Data Mining. Should be flexible with shift and work timings. Salary: 95000 to 110000/- CTC per ann

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: ServiceNow - System Administration.: Experience: 5-8 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Deliver NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy Mandatory Skills: Azure Data Engineering.: Experience: 3-5 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Oracle SQL. Experience: 3-5 Years.

Overview: A key support role within the EV Services team, responsible for coordinating and tracking technician training to ensure safety, OEM, and compliance requirements are met. Key Responsibilities: Manage technician training records and compliance tracking. Coordinate internal and external training sessions. Maintain dashboards, reports, and certification documents. Support onboarding, content development, and executive reporting. Assist EV Services leadership with administrative tasks. Required Skills: 23 years in admin/project/training coordination (technical environment preferred). Proficient in MS Excel (Pivot tables, VLOOKUP), PowerPoint, and Word. Experience with LMS, SharePoint, and strong English communication. Ability to work in U.S. EST time zone.

ABOUT JOB Designation: Associate Professor for subject specialization Computer Science/IT. Job Purpose & Role: To teach, research and serve the institution for academic, institutional & students growth & development. A. Knowledge To have strong command on subject knowledge – Computer Science/IT and have hands on experience in programming Have an ability to stay abreast on the latest trends and development in the subject area like machine learning, artificial intelligence, data science, cloud computing, blockchain technology, cyber security. Have an ability to stay abreast on the latest trends and development in the subject area. To make best use of technology in teaching learning methodology. Proven experience of excellent delivery of the subject for the students and achieve the best results /awards/positions in the university. To fulfill responsibility concerning students in respect of instruction, progress, and examination. To design, develop and deliver a range of programmes of study at various levels To lead the development and clarification of academic standards and quality for the subject area. To work with the leadership team to lead the development & implementation of student learning strategy & innovative assessment methods Meaningfully engaging students in class, seminars, workshops, conferences , events, applied subject knowledge projects. To conduct courses as per syllabus and ordinance issued by the university from time to time. To provide opportunity to students to work on live projects. To connect industry with academia for providing hands on experience leading to skill development of students. To guide junior faculty members to prepare / maintain lesson plans, lecture notes, model question papers, attendance register, manual etc. To ensure discipline and welfare of the students . To ensure Quality (NBA, ISO, NAAC) and innovative education to students by continuous monitoring of subject, books, and journals, teaching aids , Laboratory facilities To do quality research, have good academic record and books/research paper publications/IPR/patents record. To continue to develop one’s position as a leading researcher, including publication, external funding and the pursuit of other relevant indicators of standing in the field. To promote and represent the Institution at National & International level facilitate in branding. To lead and coordinate research activity in the subject area. To manage research and other collaborative partnerships with other Institutions and external bodies. To write publications of an internationally recognised standard or disseminate research findings using media appropriate to the discipline. To liaison and network to contribute to the enhancement of research quality in the subject field by being involved in quality assurance, external bodies, research councils, group and subject associations, research funding & sponsoring bodies B. Functional Skills Seasoned Academician/Researcher/Strategy Thinker Competency of Nurturing & engaging Students constructively Excellent interpersonal & content delivery skills. Ability to engage students constructively. Academic domain knowledge – National (UGC/NBA/NAAC/NIRF/AICTE etc.)/International Competency of Institution Building C. Attributes Dynamic, energetic, team player, thrives among strong colleagues. Ability to work in fast paced evolving environment . Be willing and able to exercise judgment and take risks. Accept criticism and constructive feedback , while being extremely adaptable and flexible. Reflection of an impeccable persona in walk-talk while dealing with academia High spiritual quotient (Social quotient -SQ, Intelligence quotient - IQ, Emotional Quotient - EQ) D. Qualification & Years of Experience as per AICTE/UGC norms: ME/M.Tech and BE/B.Tech in Computer Science /Information Technology from IITs, IISc., IIITs, NITs, reputed university & throughout first class PhD Degree in the relevant field of subject from the Top Tier, reputed university Minimum of 8 years of experience in teaching / research / industry out of which at least 2 years shall be Post Ph.D. experience. Minimum 6 research publications in SCI journals / UGC / AICTE approved list of journals. Post PhD publications and guiding PhD students is desirable. Industry and Global Experience is desirable. E. Salary as per current norms F. Location: Greater Noida, Delhi/NCR G. Apply for the position by sending your CV at careers@glbitm.ac.in H. Visit our website’s career page at www.glbitm.ac.in

ABOUT JOB Designation: Associate Professor for subject specialization Computer Science/IT. Job Purpose & Role: To teach, research and serve the institution for academic, institutional & students growth & development. A. Knowledge To have strong command on subject knowledge – Computer Science/IT and have hands on experience in programming Have an ability to stay abreast on the latest trends and development in the subject area like machine learning, artificial intelligence, data science, cloud computing, blockchain technology, cyber security. Have an ability to stay abreast on the latest trends and development in the subject area. To make best use of technology in teaching learning methodology. Proven experience of excellent delivery of the subject for the students and achieve the best results /awards/positions in the university. To fulfill responsibility concerning students in respect of instruction, progress, and examination. To design, develop and deliver a range of programmes of study at various levels To lead the development and clarification of academic standards and quality for the subject area. To work with the leadership team to lead the development & implementation of student learning strategy & innovative assessment methods Meaningfully engaging students in class, seminars, workshops, conferences , events, applied subject knowledge projects. To conduct courses as per syllabus and ordinance issued by the university from time to time. To provide opportunity to students to work on live projects. To connect industry with academia for providing hands on experience leading to skill development of students. To guide junior faculty members to prepare / maintain lesson plans, lecture notes, model question papers, attendance register, manual etc. To ensure discipline and welfare of the students . To ensure Quality (NBA, ISO, NAAC) and innovative education to students by continuous monitoring of subject, books, and journals, teaching aids , Laboratory facilities To do quality research, have good academic record and books/research paper publications/IPR/patents record. To continue to develop one’s position as a leading researcher, including publication, external funding and the pursuit of other relevant indicators of standing in the field. To promote and represent the Institution at National & International level facilitate in branding. To lead and coordinate research activity in the subject area. To manage research and other collaborative partnerships with other Institutions and external bodies. To write publications of an internationally recognised standard or disseminate research findings using media appropriate to the discipline. To liaison and network to contribute to the enhancement of research quality in the subject field by being involved in quality assurance, external bodies, research councils, group and subject associations, research funding & sponsoring bodies B. Functional Skills Seasoned Academician/Researcher/Strategy Thinker Competency of Nurturing & engaging Students constructively Excellent interpersonal & content delivery skills. Ability to engage students constructively. Academic domain knowledge – National (UGC/NBA/NAAC/NIRF/AICTE etc.)/International Competency of Institution Building C. Attributes Dynamic, energetic, team player, thrives among strong colleagues. Ability to work in fast paced evolving environment . Be willing and able to exercise judgment and take risks. Accept criticism and constructive feedback , while being extremely adaptable and flexible. Reflection of an impeccable persona in walk-talk while dealing with academia High spiritual quotient (Social quotient -SQ, Intelligence quotient - IQ, Emotional Quotient - EQ) D. Qualification & Years of Experience as per AICTE/UGC norms: ME/M.Tech and BE/B.Tech in Computer Science /Information Technology from IITs, IISc., IIITs, NITs, reputed university & throughout first class PhD Degree in the relevant field of subject from the Top Tier, reputed university Minimum of 8 years of experience in teaching / research / industry out of which at least 2 years shall be Post Ph.D. experience. Minimum 6 research publications in SCI journals / UGC / AICTE approved list of journals. Post PhD publications and guiding PhD students is desirable. Industry and Global Experience is desirable. E. Salary as per current norms F. Location: Greater Noida, Delhi/NCR G. Apply for the position by sending your CV at careers@glbitm.ac.in H. Visit our website’s career page at www.glbitm.ac.in

Job Title: Data Analyst Job ID : DA/BO/JULY25 Company: Akova Fintech Solutions Private Limited Location: 18 Rabindra Sarani, Poddar Court Building, Gate No: 3, 3rd Floor, Room No: U, Kolkata 700001 Job Type: Full-time | Work from Office Experience: 1–3 Years Job Summary: Akova Fintech Solutions Private Limited is seeking a skilled and motivated Data Analyst to join our growing team. The ideal candidate will be responsible for analyzing large datasets, generating actionable insights, and supporting data-driven decisions across teams. If you're passionate about turning data into impact, this is the role for you. Key Responsibilities: Perform exploratory and statistical analysis on large datasets Develop and maintain SQL queries for data extraction, transformation, and reporting Use Python for data analysis, automation, and predictive modeling Analyze financial data to uncover trends, variances, and business insights Build interactive dashboards and reports for internal and client-facing use Collaborate with cross-functional teams to support company objectives Ensure data accuracy and optimize data pipelines for efficiency Qualifications: Preferred 1–3 years of experience in data analysis Strong knowledge of SQL for querying and managing databases Proficiency in Python for data tasks and automation Experience working with large-scale data and processing systems Understanding of financial concepts and data analysis Strong communication and presentation skills Familiarity with tools like Power BI, Tableau, or Matplotlib is a plus Bachelor’s or Master’s degree in Finance, Data Science, Computer Science, or a related field Interested candidates are requested to send us their updated CV at pratik.ghosh@akova.in, or call us directly @ 9147067841

The position is with the Communication BU and you would be responsible for supporting our business operations and sales analysis. The role demands sales business intelligence, reporting and analytics skill. Through sales reporting and analytics, the team provides visibility into the BUs sales pipeline, integrating information from sales, customer and financial sources for a complete and detailed overview of the sales performance. Roles & Responsibilities Supporting Sales and Delivery operations, Manage numbers such as revenue, OB, Invoicing, Billing, COD etc. Strong understanding and knowledge of statistics and should be able to apply statistical tools in carrying out predictive analytics. Design , Execute and Manage Sales Analytics and Reporting for large enterprise for sales insights Provide actionable insights from huge volume of data (Both Structured and Unstructured) using Data Mining, Data Cleansing techniques. Analyze results and set up reports, design dashboards containing relevant KPI, measures that would enable senior management and sales force towards decision making. Business analysis, decision support and working within various reporting systems for enhanced sales execution. Communicate and provide relevant recommendations to key leadership stakeholders - Sales/Presales/Leadership through analytics while addressing real business problems/issues/challenges. Mandatory Skills: SharePoint 2016 Experience: 5-8 Years

About The Role Wholesale Banking Team Member- Corporate SalaryGrade M5Job Role Coverage meeting - tracking of meetings at all levels along with senior team pan Kotak Monitor 50 top corporates every quarter and monitor monthly conversionsin WBG segment and another 25 accounts inSME Targeting 5 top groups with a potential to give 10,000 accounts each Categorisation of companies/ leads regularly and pursue the hot leads Timely actionables on key asks for each corporatehelp in customisation of product offering along with each business vertical Ensure regular review fortnightly for each business and follow up on actionables Monitoring, formulating strategy for high value CFO and CXO etc. Driving salary team for closures Monitoring RM level KRA - Scorecard for each RM across various business divisions monthly release Monitoring engagement activities done for various companies Data mining thru analytics and pushing low penetrated companies RM incentivisation activities Ensure every structured transaction and large value deals - salary is mandated

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Telecom NMS Data Modelling South Bound Experience: 5-8 Years

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Data Science Consulting Experience: 5-8 Years

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Google BigQuery Experience: 5-8 Years

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Ipython Experience: 3-5 Years

Job Description Role & responsibilities Research and develop statistical learning models for data analysis Keep up-to-date with latest technology trends Identify, Analyze, and Interpret data trends or patterns using statistical techniques relating to key performance indicators in complex data sets Provide increased focus on analytics and emphasize on providing valuable insights to drive improvement opportunities Implement new statistical or other mathematical methodologies as needed for specific models or analysis Adhere to all organizational policies, procedures, standards and practices related to data management, risk and compliance Preferred candidate profile Excellent Communication & Interpersonal Skills (Verbal & Written) Analytical / Decision Making, Critical / Innovative Thinking, Problem-solving and be very detail oriented Experience working in an agile methodology Knowledge on tools like Power BI, SQL, Alteryx, SharePoint, confluence, Jira etc. Additional ETL or Visualization tool knowledge will be highly preferred Experience with programming languages such as Java/Python an asset Should have knowledge on Statistical and predictive analysis Must be able to work with minimal direction and be very flexible to coordinate complex activities that are often subject to rapid or extensive changes

Role & responsibilities Research and develop statistical learning models for data analysis Keep up-to-date with latest technology trends Identify, Analyze, and Interpret data trends or patterns using statistical techniques relating to key performance indicators in complex data sets Provide increased focus on analytics and emphasize on providing valuable insights to drive improvement opportunities Implement new statistical or other mathematical methodologies as needed for specific models or analysis Adhere to all organizational policies, procedures, standards and practices related to data management, risk and compliance Preferred candidate profile Excellent Communication & Interpersonal Skills (Verbal & Written) Analytical / Decision Making, Critical / Innovative Thinking, Problem-solving and be very detail oriented Experience working in an agile methodology Knowledge on tools like Power BI, SQL, Alteryx, SharePoint, confluence, Jira etc. Additional ETL or Visualization tool knowledge will be highly preferred Experience with programming languages such as Java/Python an asset Should have knowledge on Statistical and predictive analysis Must be able to work with minimal direction and be very flexible to coordinate complex activities that are often subject to rapid or extensive changes

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Are you ready to dive headfirst into the captivating world of data engineering at Kyndryl? As an AWS Data Engineer, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers. Your role? Ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips. In this role, you'll be engineering the backbone of our data infrastructure, ensuring the availability of pristine, refined data sets. With a well-defined methodology, critical thinking, and a rich blend of domain expertise, consulting finesse, and software engineering prowess, you'll be the mastermind of data transformation. Key Responsibilities: 1. Data Pipeline Design & Development Design and develop scalable, resilient, and secure ETL/ELT data pipelines using AWS services. Build and optimize data workflows leveraging AWS Glue, EMR, Lambda, and Step Functions. Implement batch and real-time data ingestion using Kafka, Kinesis, or AWS Data Streams. Ensure efficient data movement across S3, Redshift, DynamoDB, RDS, and Snowflake. 2. Cloud Data Engineering & Storage Architect and manage data lakes and data warehouses using Amazon S3, Redshift, and Athena. Optimize data storage and retrieval using Parquet, ORC, Avro, and columnar storage formats. Implement data partitioning, indexing, and query performance tuning. Work with NoSQL databases (DynamoDB, MongoDB) and relational databases (PostgreSQL, MySQL, Aurora). 3. Infrastructure as Code (IaC) & Automation Deploy and manage AWS data infrastructure using Terraform, AWS CloudFormation, or AWS CDK. Implement CI/CD pipelines for automated data pipeline deployments using GitHub Actions, Jenkins, or AWS CodePipeline. Automate data workflows and job orchestration using Apache Airflow, AWS Step Functions, or MWAA. 4. Performance Optimization & Monitoring Optimize Spark, Hive, and Presto queries for performance and cost efficiency. Implement auto-scaling strategies for AWS EMR clusters. Set up monitoring, logging, and alerting with AWS CloudWatch, CloudTrail, and Prometheus/Grafana. 5. Security, Compliance & Governance Implement IAM policies, encryption (AWS KMS), and role-based access controls. Ensure compliance with GDPR, HIPAA, and industry data governance standards. Monitor data pipelines for security vulnerabilities and unauthorized access. 6. Collaboration & Stakeholder Engagement Work closely with data analysts, data scientists, and business teams to understand data needs. Document data pipeline designs, architecture decisions, and best practices. Mentor and guide junior data engineers on AWS best practices and optimization techniques. Your journey begins by understanding project objectives and requirements from a business perspective, converting this knowledge into a data puzzle. You'll be delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence. But it doesn't stop there. You'll be the architect of data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset—a true data alchemist. So, if you're a technical enthusiast with a passion for data, we invite you to join us in the exhilarating world of data engineering at Kyndryl. Let's transform data into a compelling story of innovation and growth. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Skills and Experience 7+ years of experience in data engineering with a focus on AWS cloud technologies. Expertise in AWS Glue, Lambda, EMR, Redshift, Kinesis , and Step Functions. Proficiency in SQL, Python, Java and PySpark for data transformations. Strong understanding of ETL/ELT best practices and data warehousing concepts. Experience with Apache Airflow or Step Functions for orchestration. Familiarity with Kafka, Kinesis, or other streaming platforms. Knowledge of Terraform, CloudFormation, and DevOps for AWS. Expertise in data mining, data storage, and Extract-Transform-Load (ETL) processes. Experience in data pipelines development and tooling, such as Glue, Databricks, Synapse, or Dataproc. Experience with both relational and NoSQL databases, including PostgreSQL, DB2, and MongoDB. Excellent problem-solving, analytical, and critical thinking skills. Ability to manage multiple projects simultaneously while maintaining attention to detail. Communication skills: Ability to communicate with both technical and non-technical colleagues to derive technical requirements from business needs and problems. Preferred Skills and Experience Experience working as a Data Engineer and/or in cloud modernization. Experience with AWS Lake Formation and Data Catalog for metadata management. Knowledge of Databricks, Snowflake, or BigQuery for data analytics. Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.