2420 Data Visualization Jobs - Page 45

Hiring " Business Data Analyst " for US client on a payroll of Mynd Integrated solutions Designation- Data Analyst / Business Data Analyst Location - Sec 8, IMT Manesar, Gurgaon Shift Timings- Day 8 to 4:30 Pm Working Days- 5 Days Working (Fixed sat/ sun off) Working Model Onsite Cab Facility provided to Hiring Zone Tenure Upto 1.5 Years. The contract is renewed every 6 months based on performance and client requirements, with the possibility of conversion to the clients direct payroll based on the same criteria. There is No bond. Mode of Interview First Virtual and Final is Face to Face Interested can share Resume "Komal.kareer@myndsol.com" Job Role in Short Support the global CLM implementation project by analyzing contract data, preparing documentation, supporting data migration, and performing UAT. Collaborate with global and regional teams to enhance contract process efficiency and reporting capabilities . Job Responsibilities Perform detailed data analysis and support the migration of contract-related data. Assist in documentation of business processe s and support project-related administrative tasks. Conduct User Acceptance Testing (UAT) for tools and workflows under the CLM implementation project. Develop r eports and dashboards using Excel, Power BI, and other tools. Coordinate with global project teams and internal stakeholders to support process improvements. Track key project metrics and proactively report progress, risks, and updates to the team. Ensure accuracy and completeness of data and documentation throughout the project lifecycle.

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. As a Lead Software Engineer at JPMorgan Chase within the Asset and Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Utilize Python and Java for data analysis and algorithm development. Develop and implement machine learning models and GenAI solutions. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Perform data mining and extraction from various sources. Ensure data quality and integrity in all projects. Communicate findings and insights effectively to stakeholders. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Education Degree in Engineering Stream, Data Science, Statistics, or a related field. Proven experience with Python and Java programming languages. Extensive experience in developing and deploying machine learning models. Strong background in GenAI and its applications. Advanced proficiency in Python and Java. Expertise in GenAI technologies and frameworks. Strong understanding of machine learning algorithms and techniques. Experience with big data tools and platforms. Proficiency in data visualization tools such as Matplotlib, Seaborn, or Tableau. Preferred qualifications, capabilities, and skills Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with containerization and orchestration tools like Docker and Kubernetes. Knowledge of data engineering and ETL processes.

Greetings we are looking for Power BI Developer in Bengaluru Please Note *This is a WFO Profile in Bengaluru. *All the interviews are only in Walkin Mode in respective cities *Need minimum 2 year full time experience post Graduation *Trainee and internship experience not considered Job Description: Power BI Developer. Experience with the tools and technologies used by the Microsoft SQL Server BI Stack, and TSQL, Power Query, MDX, PowerBI, and DAX • Expertise in executing DAX queries on the Power BI desktop • Comprehensive understanding of data modeling, administration, and visualization • Design data models that transform raw data into insightful knowledge by understanding business requirements in the context of BI. • Developing Power BI desktop to create dashboards, KPI scorecards, and visual reports • Integrate data, alter data, and connect to data sources for business intelligence. • Detailed knowledge and understanding of database management systems, OLAP, and the ETL (Extract, Transform, Load) framework • Good to have working experience/Knowledge using cloud technologies Warm Regards, Prajit Grover HR TEAM KVC CONSULTANTS LTD.

Knowledge of data science concepts and techniques, data visualization tools such as Tableau or Power BI. Knowledge of ML & data science platform such as Scikit-learn, Tensorflow. Experience with programming languages such as Python, and SQL Required Candidate profile Experience in Training or teaching

Role & responsibilities Position : Tableau Developer Purpose of the Position: Design, Develop, support and steer end-to-end business intelligence solution using Tableau. InfoCepts is a global leader of end-to-end data and analytics solutions with nearly 20 years experience enabling customers to derive value from a variety of data-driven capabilities. Unique among its peers, InfoCepts operates with the scale of a global consulting firm, yet the expertise of a niche partner. Work Location : Pune and Nagpur preferred Type of Employment: FTE Key Responsibilities: Business Requirements: Experience in providing analytics solutions while balancing architecture requirements, effort estimations, and customer-specific needs. Working with end-users to design and build dashboards and customizations to meet their requirements and suit their roles. Technical Translation: Designing and implementing Data Warehouses/Analytics Solutions. Defining and configuring the security model within Tableau deployments. Hands-on working experience with Tableau to author queries, datasets, visuals, and reports. Documentation: Preforming gap analyses, maturity assessments, and developing Analytics technology roadmaps. Analytical Skills: Excellent Data Modelling skills (RDBMS concepts, Normalization, dimensional modelling, star/snowflake schema, etc.). Well-versed with the latest trends in analytics, business intelligence, and data visualization. Capable of analytical technology assessment and strategic decision-making. Work and Technical Experience: Must Have 5+ years of hands-on experience in Tableau dashboard development, optimizing performance, and managing medium to complex dashboards (including Row-Level Security). Strong understanding of data connections, optimized models, relationships, joins, unions, data blending, and handling date/time calculations effectively. Skilled in writing optimized calculations, table calculations, cascading filters, and proficient SQL knowledge. Basic knowledge of Tableau admin activities (e.g., migrations, user/group additions, schedule updates) and experience in the Banking domain. Ability to lead development teams, resolve technical blockers, and develop reusable artifacts, frameworks, and industry solutions. Excellent written and verbal communication skills in English, suited for collaboration and requirement gathering. Good to have: Expertise in multiple analytics platforms such as PowerBI / MSTR Experience in developing reusable artifacts/frameworks, re-usable assets, industry solutions, etc. Experience in converting business requirements to mock-ups using tools like Figma Qualifications: Bachelors degree in computer science, engineering, or related field (master’s degree is a plus) Demonstrated continued learning through one or more relevant certifications or related methods At least 5+ years of relevant experience. Qualities: Self-motivated and focused on delivering outcomes for a fast-growing team. Strong interpersonal skills Able to work in a self-organized and cross-functional teams. Able to work with teams and clients in different time zones. Able to quickly acquire and develop new capabilities and skills. Preferred candidate profile Immediate Joiner Only

Data Engineer/Analyst Location- Jaipur/Indore Notice- Immediate joiners only Basic Responsibilities (Must-Haves): 5+ years of experience in dashboard story development, dashboard creation, and data engineering pipelines . Hands-on experience with log analytics, user engagement metrics, and product performance metrics . Ability to identify patterns, trends, and anomalies in log data to generate actionable insights for product enhancements and feature optimization . Collaborate with cross-functional teams to gather business requirements and translate them into functional and technical specifications. Manage and organize large volumes of application log data using Google Big Query . Design and develop interactive dashboards to visualize key metrics and insights using any of the tool like Tableau Power BI , or ThoughtSpot AI . Create intuitive, impactful visualizations to communicate findings to teams including customer success and leadership. Ensure data integrity, consistency, and accessibility for analytical purposes. Analyse application logs to extract metrics and statistics related to product performance, customer behaviour, and user sentiment . Work closely with product teams to understand log data generated by Python-based applications . Collaborate with stakeholders to define key performance indicators (KPIs) and success metrics. Can optimize data pipelines and storage in Big Query . Strong communication and teamwork skills . Ability to learn quickly and adapt to new technologies. Excellent problem-solving skills . Preferred Responsibilities (Nice-to-Haves): Knowledge of Generative AI (GenAI) and LLM-based solutions . Experience in designing and developing dashboards using ThoughtSpot AI . Good exposure to Google Cloud Platform (GCP) . Data engineering experience with modern data warehouse architectures . Additional Responsibilities: Participate in the development of proof-of-concepts (POCs) and pilot projects. Ability to articulate ideas and points of view clearly to the team. Take ownership of data analytics and data engineering solutions . Additional Nice-to-Haves: Experience working with large datasets and distributed data processing tools such as Apache Spark or Hadoop . Familiarity with Agile development methodologies and version control systems like Git . Familiarity with ETL tools such as Informatica or Azure Data Factory

Responsibilities: * Develop data strategies using Power BI, Hadoop & NLP. Database management system programming Predictive modeling, NLP and text analysis Data modeling tools (e.g. ERWin, Enterprise Architect and Visio) Flexi working Work from home

Key Responsibilities: Anticipates to the needs of senior management and manages his/her schedules. Arranges and coordinates travel arrangements including expense reports and visa/passport requirements. Gathers, compiles, verifies and analyses information for management' use in documents such as memos, letters, reports, speeches, presentations and news releases. Facilitates smooth communications between senior management and coworkers and between senior management and external parties such as media, customers, vendors and the public. Maintains the security and confidentiality of management' records and files. Monitors, reviews and approves standard expenditures to ensure the activities of the office are conducted within established budgets. Reports required information on a regular basis as assigned (e.g. monthly). Performs various tasks using independent judgement and discretion; e.g., preparing documents and presentation materials; screening and responding to incoming correspondence, inquiries, and phone calls; drafting letters and official information releases; arranging and attending meetings; taking and distributing minutes. Act as formal resource for colleagues with less experience. Completes other activities for senior management upon request and/or as required. Skills Required:- Support Restricted Party Screening Process Support administrative activity of Export Controls Maintain and update work instructions Update Document Management System with work instructions Maintain and update Export Controls Connect page Update new regulations in global tracking tool Other work as assigned time to time Check regularly export controls emails and assign to the respective team members Technical Skills - Should have General understanding of Warehousing processes, order entry processes, transportation and material planning processes. Should have knowledge of excel and should be comfortable with using ERP systems Competencies: Values differences - Recognizing the value that different perspectives and cultures bring to an organization. Action oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm. Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. Customer focus - Building strong customer relationships and delivering customer-centric solutions. Ensures accountability - Holding self and others accountable to meet commitments. Plans and aligns - Planning and prioritizing work to meet commitments aligned with organizational goals. Data Analytics - Discovers, interprets and communicates qualitative and quantitative data; determines conclusions relying on knowledge of business or functional frameworks; simultaneously applies statistics, data validity, data visualization, and problem solving approaches to effectively extract meaningful patterns and business insights; presents conclusions and outcomes that enable data driven business decisions. Data Communication and Visualization - Constructs a tale of the business problem, root cause, solution options, and opportunities through illustrating data visually, including reports and dashboards. Education, Licenses, Certifications: High school diploma or certificate of completion of secondary education or equivalent experience to the extent such experience meets applicable regulations. This position may require licensing for compliance with export controls or sanctions regulations. Experience: Significant work experience and in-depth knowledge obtained through specialized training and relevant experience.

What lands you in this role Prepare and transform datasets through thorough data wrangling, cleansing, and preprocessing to enable high-quality analysis. Build and maintain efficient data ingestion pipelines to seamlessly integrate data from multiple sources. Conduct deep exploratory data analysis (EDA) to identify trends, patterns, and actionable insights. Leverage Python and SQL extensively for data manipulation, querying, and deploying analytical models. Use Excel and BI tools (Tableau, Power BI etc) for dashboards and data analysis. Translate complex model outputs into clear, actionable insights for both technical and business stakeholders. Partner closely with data engineers, analysts, and business teams to embed analytical solutions into existing workflows. Contribute to the development and optimization of statistical models and machine learning algorithms for targeted business problems. Support the design and validation of forecasting models to anticipate future business outcomes. Keep abreast of emerging techniques and innovations in data science, machine learning, and statistical modeling. Required Skills & Qualifications: 3 to 6 years of experience in Business Analysis, statistics, Data cleaning and transformation and related fields. Good proficiency in statistical modeling and hypothesis testing. Hands-on experience with Python (NumPy, Pandas, Scikit-learn, etc.). Advanced SQL skills for querying and manipulating large datasets. Experience in Excel and creating Dashboards is a plus. Experience in data wrangling, preprocessing, and feature engineering. Knowledge of data ingestion techniques and pipeline development. Ability to interpret predictive models, classification, regression, and clustering algorithms. Strong analytical and problem-solving skills with a keen eye for detail. Excellent communication and storytelling skills to present insights effectively.

Role & responsibilities Key Responsibilities: Analyze large datasets to identify trends, patterns, and business insights for strategic decision-making. Develop and maintain reports, dashboards, and visualizations using tools like Power BI, Tableau, and SQL. Oversee data collection, cleaning, and validation processes to ensure accuracy and consistency. Collaborate with Business Analysts, Data Engineers, and stakeholders to define data requirements and improve reporting structures. Use predictive analytics and machine learning models to forecast business outcomes. Provide recommendations based on data insights to enhance operational efficiency and growth strategies. Work closely with cross-functional teams to support process automation, data governance, and compliance. Ensure data integrity and security in all reporting processes. Lead and mentor junior data analysts, guiding them in best practices and data analysis techniques. Preferred candidate profile Qualifications: Bachelors or Master’s degree in Data Science, Statistics, Computer Science, or a related field. 3-7 years of experience in data analysis, business intelligence, or related roles. Strong proficiency in SQL, Python, and data visualization tools (Power BI, Tableau). Experience in data modeling, ETL processes, and predictive analytics. Knowledge of statistical analysis and machine learning models is a plus. Excellent problem-solving skills, with the ability to interpret complex data and deliver actionable insights. Strong communication skills with stakeholder engagement and presentation experience. Ability to work independently and collaboratively in a fast-paced, data-driven environment. This role offers an exciting opportunity for an experienced Data Analyst to take a leadership role in driving data-informed strategies that enhance business outcome"

EC-Council is the world'ss largest cyber security technical certification body. We operate in 145 countries globally and we are the owner and developer of various world-famous cyber security programs. We are proud to have trained and certified over 220,000 information security professionals globally that have influenced the cyber security mindset of countless organizations worldwide. www.eccouncil.org Senior Power Bi Developer Job Resposibilities Create visualizations and analyses that provide business insights for our management Support a wide range of users from Analyst to Executive Management roles, by responding quickly to user needs and developing report products in a timely manner. Identify business and technical requirements for solutions and translate to accurate answers, valuable insights, on-time information, and actionable conclusions Systematically assess the quality and completeness of available data Use an analytics-driven approach in analyzing business problems Implement statistical methodologies to predict, forecast, or diagnose business outcomes Interpret and validate analysis results Build processes to increase efficiencies across technology platforms Communicate insights through data visualizations and storytelling Present findings and recommendations to bring about insights for decision making Qualifications Bachelor's degree required, preferably in Computer Science or an analytical discipline such as Finance, Operations Research, Statistics, or Math Strong analytical skills Strong organizational skills and ability to multi-task Strong data visualization and data engineering Have intermediate skills in Excel Experience preferred (4+ years in Power Bi) Have advanced Dax, data modelling and basic M capability Reporting design skills (Power Bi and Power Point) Have other tools knowledge will be an advantage Competencies Ability to work in a team and with different personalities Ability to work under pressure and to strict deadlines Good English communication skills, written and verbal Good telephone etiquette Strong decision-making skills with a good eye for detail Proactive Flexibility to work outside normal business hours where required Employment Type: Full Time, Permanent Additional Information: We are an equal opportunity workplace and an affirmative action employer. We are always committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status and we do not discriminate on the basis of such characteristics or on the basis of any other status that is protected by the laws or regulations in the locations where we work. EC-Council is committed to working with and providing reasonable accommodation to individuals with disabilities. If you have a medical condition or disability which inhibits your ability to complete any part of the application process and need reasonable accommodation to complete the process, please contact us at nisha.rawat@eccouncil.org and let us know how we may assist you. To be eligible to apply for this job, you must be able provide proof that you are either a citizen of the country or have legal authorization to work in the country where this job is posted and must be residing in the same country. Our Privacy Policy outlines how we collect, use, and protect your personal data during the recruitment process. Please review it to understand our practices: EC-Council Privacy policy

Skill required: Record To Report - Account Management Designation: Record to Report Ops Analyst Qualifications: MCom/Master of Business Administration/CA Inter Years of Experience: 3 to 5 years Language - Ability: English(International) - Expert What would you do? You will be aligned with our Finance Operations vertical and will be helping us in determining financial outcomes by collecting operational data/reports, whilst conducting analysis and reconciling transactions.Posting journal entries, preparing balance sheet reconciliations, reviewing entries and reconciliations, preparing cash forecasting statement, supporting month end closing, preparing reports and supports in audits.Implement client account plans through relationship development and opportunity pursuits that builds deeper client relationships. Includes monitoring existing services to identify opportunities that provide additional and innovative value to the client. What are we looking for? Business Data Analysis Extract Transform Load (ETL) Information Management System Testing and Validation Business Requirements Analysis Product Requirement Definition Adaptable and flexible Ability to perform under pressure Problem-solving skills Ability to establish strong client relationship Strong analytical skills Roles and Responsibilities: In this role you are required to do analysis and solving of lower-complexity problems Your day to day interaction is with peers within Accenture before updating supervisors In this role you may have limited exposure with clients and/or Accenture management You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments The decisions you make impact your own work and may impact the work of others You will be an individual contributor as a part of a team, with a focused scope of work Please note that this role may require you to work in rotational shifts Qualification MCom,Master of Business Administration,CA Inter

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (example:AWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Additional Information: The candidate should have a minimum of 5 years of real time experience in Machine Learning. A 15 years full time education is required. Qualifications 15 years full time education

Entity :- Accenture Strategy Consulting Team :- Strategy Consulting- Global Network Practice :- Marketing Analytics Title :- Manager Data Science Job location :- Gurgaon About SC - Global Network :- Accenture Applied Intelligence practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. Youll work with Data Driven Merchandizing experts, and Accenture will support you in growing your own tech stack and certifications. In Applied intelligence you will understand the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for Data Driven Merchandizing capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. 5+ years of advanced experience in Data Driven Merchandizing which involves setting up Pricing/Promotions/Assortment Optimization capabilities across retail clients. Knowledge of price/discount elasticity estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Develop and Manage Data within different layers of Snowflake environment. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of Price/Promo optimization. Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide a team of 10-15 people under him/her. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking- Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management- Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress. Qualifications Who we are looking for 7+ years of work experience in consulting/analytics with a reputed organization. Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL, R and Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of state space mixed-effect modeling techniques and optimization algorithms and applicability to industry data Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, SQL, PySpark. Proficient in Excel, MS word, PowerPoint, etc. Strong client and team management and planning of large-scale projects with risk assessment. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Job Title: Adoption Analytics Specialist – Change Management Management Level :CL9 Location:Bangalore/ Gurgaon Must have skills:Change Management Good to have skills: About Our Company | Accenture Job Summary : The Adoption Analytics Specialist plays a crucial role in measuring and analyzing the success of change initiatives by providing data-driven insights. This role supports the Change Management team by developing dashboards, tracking key performance indicators (KPIs), and generating reports that assess adoption rates, employee engagement, and the effectiveness of transformation efforts. Key Responsibilities: Develop and maintain dashboards and reports to track adoption metrics, employee engagement, and overall impact of change initiatives. Collect, analyze, and interpret data to identify trends, challenges, and opportunities for improvement in change adoption. Collaborate with cross-functional teams to establish meaningful KPIs and benchmarks for success. Use data visualization tools (e.g., Power BI") to create compelling and easy-to-understand insights. Conduct surveys and gather feedback from employees to gauge sentiment and readiness for change. Support Change Management strategies by providing real-time analytics that guide decision-making and strategy adjustments. Work closely with leadership to ensure data-driven insights align with business objectives and transformation goals. Identify gaps in adoption and propose actionable recommendations to enhance user engagement. Stay updated with industry best practices in change analytics and reporting methodologies. Qualifications & Skills: Bachelor's degree in data Analytics, Business Intelligence, Organizational Development, or a related field. 6+ years of experience in data analysis, business intelligence, or a related role. Proficiency in data visualization tools such as Tableau, Power BI, or similar platforms. Strong analytical skills with the ability to interpret complex data sets and provide actionable insights. Experience working with survey tools, feedback analytics, and sentiment analysis. Proficiency in Excel, or other data manipulation tools. Communication and presentation skills to convey insights to non-technical stakeholders. Ability to work collaboratively with cross-functional teams and adapt to evolving business needs. Preferred Qualifications: Familiarity with digital transformation initiatives and technology adoption analytics. Certification in Data Analytics or Business Intelligence . Why Join Us? Opportunity to be at the forefront of driving data-driven change in an evolving organization. A collaborative and inclusive work environment that values innovation. If you have a passion for analytics and a desire to influence change adoption through data, we encourage you to apply! Qualification Experience: Minimum 6 year(s) of experience is required Educational Qualification: B.Tech/BE/Bcom/MBA Any graduation

Project Role AI / ML Engineer Project Role Description Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills Large Language Models Good to have skills NA Minimum 12 year(s) of experience is required Educational Qualification 15 years full time education SummaryAs an AI / ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead research and development initiatives in AI and ML technologies.- Implement and optimize machine learning models.- Conduct data analysis and interpretation for business insights. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information- The candidate should have a minimum of 12 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Workday Prism Analytics Good to have skills : Application Design Minimum 7.5 year(s) of experience is required Educational Qualification : Mandatory workday certification required for the primary skill Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your day will involve overseeing the application development process and ensuring seamless communication within the team and stakeholders. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Lead the application design and development process Ensure timely delivery of high-quality applications Provide technical guidance and mentorship to team members Professional & Technical Skills: Must To Have Skills: Proficiency in Workday Prism Analytics Good To Have Skills: Experience with Application Design Strong understanding of data analytics and visualization Experience in application architecture and development Knowledge of cloud technologies and integration Excellent communication and leadership skills Additional Information: The candidate should have a minimum of 5 years of experience in Workday Prism Analytics This position is based at our Bengaluru office A 15 years full-time education is required Qualification Mandatory workday certification required for the primary skill

Project Role : Data Platform Architect Project Role Description : Architects the data platform blueprint and implements the design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with the team to develop and implement solutions that align with the organization's goals and objectives. You will utilize your expertise in Databricks Unified Data Analytics Platform to create efficient and effective applications that enhance business processes and drive innovation. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Expected to provide solutions to problems that apply across multiple teams. Collaborate with stakeholders to gather requirements and understand business needs. Design and develop applications using Databricks Unified Data Analytics Platform. Configure and customize applications to meet specific business process requirements. Perform code reviews and ensure adherence to coding standards. Provide technical guidance and mentorship to junior team members. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. Good To Have Skills: Experience with Microsoft Azure Data Services, Microsoft Azure Analytics Services. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 12 years of experience in Databricks Unified Data Analytics Platform. This position is based at our Chennai office. A Full Time Education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Sales and Distribution (SD) Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 year of education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring that the applications are aligned with the needs of the organization and contribute to its overall success. Your typical day will involve collaborating with the team, making key decisions, and providing solutions to problems that apply across multiple teams. You will also engage with multiple teams and contribute to important decisions, making this role crucial for the success of the organization. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Expected to provide solutions to problems that apply across multiple teams Ensure the applications are designed, built, and configured to meet business process and application requirements Collaborate with the team to ensure the applications are aligned with the needs of the organization Make key decisions regarding the design and configuration of applications Professional & Technical Skills: Must To Have Skills:Proficiency in SAP Sales and Distribution (SD) Strong understanding of statistical analysis and machine learning algorithms Experience with data visualization tools such as Tableau or Power BI Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: The candidate should have a minimum of 12 years of experience in SAP Sales and Distribution (SD) This position is based at our Bengaluru office A 15 year of education is requiredQualifications 15 year of education

Project Role :Application Tech Support Practitioner Project Role Description :Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge. Must have skills :Splunk Administration Good to have skills :NA Minimum 5 year(s) of experience is required Educational Qualification :a 15 years of full time education Summary:As an Application Tech Support Practitioner, you will be responsible for providing ongoing support to clients and ensuring the smooth functioning of systems and applications. Your typical day will involve interfacing with clients, accurately defining and resolving issues, and utilizing your expertise in Splunk Administration and UNIX Shell Scripting. Roles & Responsibilities: Act as the primary point of contact for clients, providing ongoing support and ensuring the smooth functioning of systems and applications. Accurately define client issues and interpret and design resolutions based on deep product knowledge. Utilize your expertise in Splunk Administration and UNIX Shell Scripting to troubleshoot and resolve technical issues. Collaborate with cross-functional teams to identify and resolve complex technical issues, utilizing exceptional communication skills to keep systems running smoothly. Stay updated with the latest advancements in technology and apply innovative approaches for sustained competitive advantage. Professional & Technical Skills: Must To Have Skills:Expertise in Splunk Administration. Good To Have Skills:UNIX Shell Scripting. Strong understanding of system and application support, with a proven track record of delivering impactful solutions. Exceptional communication skills, with the ability to accurately define and interpret client issues. Solid grasp of troubleshooting and problem-solving techniques. Ability to collaborate effectively with cross-functional teams. Must have Skills :Splunk AdministrationGood to Have Skills :UNIX Shell ScriptingKey Responsibilities :a:Standardized Splunk agent deployment, configuration and maintenance across a variety of UNIX and Windows platforms b:Experience with Splunk Searching and Reporting, Knowledge Objects administration, Clustering and Forwarder Management c:Support Splunk on Unix, Linux and Windows-based platforms Technical Experience :a:At least 5 years of experience in IT with minimum 3 years in Splunk b:Skills in technical areas which support the deployment and integration of Splunk based solutions, Splunk Apps and Add-ons for monitoring and data integrations- including Infrastructure, Network, OS, DB, Middleware, Storage; Virtualization, Cloud Architectures etc, c:Good to have knowledge on Java scripting, Python, shell scripting-based development Professional Attributes :a:Excellent customer facing skills b:Experience working with a global team c:Strong analytical and problem-solving skills Educational Qualification:a:15 years of full time educationAdditional Info :a:Good verbal and written communication skill Qualifications a 15 years of full time education

Project Role :Analytics Practitioner Project Role Description :Develop business insights using predictive statistical modeling activities. Use analytical tools and techniques to generate and improve decision-making by modeling client, market, and key performance data. Must have skills :Data Analytics Good to have skills :NA Minimum 3 year(s) of experience is required Educational Qualification :15 years full time education Summary:As an Analytics & Modeling Practitioner, you will develop business insights using predictive statistical modeling activities. You will use analytical tools and techniques to generate and improve decision-making by modeling client, market, and key performance data. Your typical day will involve leveraging your expertise in data analytics to extract meaningful insights and trends from large datasets. You will collaborate with cross-functional teams to identify business problems and provide data-driven solutions. Additionally, you will contribute to the development and implementation of statistical models to support business strategies and objectives. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Develop and implement statistical models to analyze large datasets. Extract meaningful insights and trends from data using data analytics techniques. Collaborate with cross-functional teams to identify business problems and provide data-driven solutions. Conduct data analysis and present findings to stakeholders. Stay updated with the latest trends and advancements in data analytics and modeling. Professional & Technical Skills: Must To Have Skills:Proficiency in Data Analytics. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 3 years of experience in Data Analytics. This position is based at our Kolkata office. A 15 years full time education is required. Qualifications 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will collaborate with teams, make team decisions, and provide solutions to problems. Your typical day will involve designing and developing applications, collaborating with multiple teams, and contributing to key decisions. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Design and develop applications Collaborate with cross-functional teams Contribute to key decisions Professional & Technical Skills: Must To Have Skills:Proficiency in Databricks Unified Data Analytics Platform Strong understanding of statistical analysis and machine learning algorithms Experience with data visualization tools such as Tableau or Power BI Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform This position is based at our Bengaluru office A 15 years full time education is required Qualifications 15 years full time education

Project Role :Application Developer Project Role Description :Design, build and configure applications to meet business process and application requirements. Must have skills :SAP FSCM Treasury and Risk Management (TRM) Good to have skills :NA Minimum 5 year(s) of experience is required Educational Qualification :15 years full time education Summary:As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring the successful implementation of applications and collaborating with multiple teams to make key decisions. Your typical day will involve analyzing business requirements, developing application designs, coding and testing applications, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Develop and maintain applications based on business requirements Perform code reviews and ensure code quality Troubleshoot and debug applications Collaborate with cross-functional teams to gather requirements and design solutions Professional & Technical Skills: Must To Have Skills:Proficiency in SAP Analytics Cloud Development Good To Have Skills:Experience with data visualization tools such as Tableau or Power BI Strong understanding of statistical analysis and machine learning algorithms Experience with implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: The candidate should have a minimum of 5 years of experience in SAP Analytics Cloud Development A 15 years full time education is required Qualifications 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Analytics Cloud Planning Good to have skills : SAP FI S/4HANA Central Finance Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and collaborating with multiple teams to make key decisions. Your typical day will involve overseeing the application development process, providing solutions to problems, and ensuring effective communication between teams. Roles & Responsibilities:-Responsible for design and implementation of Integrated Financial Planning for SAP S/4HANA supports the integrated financial planning process including cost center, product cost, sales & profitability, investment, P&L, balance sheet and cash flow planning. -Knowledge of Classical Planning and its migration to SAC Planning an added advantage. Knowledge of Budgeting and Forecasting business processes with integration to technology tools in SAP Ecosystems is desirable. Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Lead the effort to design, build, and configure applications Act as the primary point of contact for the application Oversee the application development process Ensure effective communication between teams Professional & Technical Skills: Must To Have Skills:Proficiency in SAP Analytics Cloud Planning, SAC IFP( Integrated Financial Planning) good to have S/4 Hana Financed, SAP FICO Good To Have Skills:Experience with SAP FI S/4HANA Central Finance Strong understanding of statistical analysis and machine learning algorithms Experience with data visualization tools such as Tableau or Power BI Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: The candidate should have a minimum of 5 years of experience in SAP Analytics Cloud Planning This position is based at our Hyderabad office A 15 years full-time education is required Qualifications 15 years full time education

Project Role :Application Lead Project Role Description :Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills :SAP Sales and Distribution (SD) Good to have skills :NA Minimum 7.5 year(s) of experience is required Educational Qualification :15 years full time education Summary:As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Lead the effort to design, build, and configure applications Act as the primary point of contact Manage the team and ensure successful project delivery Professional & Technical Skills: Must To Have Skills:Proficiency in SAP Sales and Distribution (SD) Strong understanding of statistical analysis and machine learning algorithms Experience with data visualization tools such as Tableau or Power BI Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: The candidate should have a minimum of 7.5 years of experience in SAP Sales and Distribution (SD) This position is based at our Bengaluru office A 15 years full-time education is required Qualifications 15 years full time education