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overseeing the daily operations of a housekeeping team, ensuring cleanliness standards, managing staff, and coordinating cleaning tasks in hotels or other facilities

We are on the hunt for an experienced healthcare analyst to join our qualified team. As the healthcare analyst, your chief responsibility will be to research and evaluate healthcare information from different sources to identify trends and business insights. In addition to being an excellent written and verbal communicator, the ideal candidate will be resourceful and highly-analytical. To succeed in this role, you should also have a solid understanding of data management systems, health care procedures, and analysis tools. Responsibilities: Develop and implement effective record-keeping procedures. Prepare accurate reports on the latest trends in customer service, billing, and cost evaluation. Research and evaluate data from different sources to identify discrepancies and patterns. Present and explain status reports to management. Recommend ways to improve healthcare quality and minimize costs. Work with management and other internal departments to implement and assess developments.

Responsibilities: Lead Data Collection Efforts: Gather and verify extensive data on market participants, utilizing publicly available sources including but not limited to websites, news articles, and various public registries & filings to provide accurate insights and ensure thorough data coverage. Implement Data Quality Standards: Oversee and implement rigorous data cleansing processes to ensure high accuracy and consistency in datasets, utilizing best practices and methodologies. Conduct Advanced Reporting and Analysis: Perform in-depth reporting and trend analysis, generating comprehensive reports that provide actionable insights for strategic decision-making. Drive Automation and Efficiency: Spearhead automation initiatives for data collection and reporting tasks using SQL and Lean methodologies to optimize processes and enhance overall efficiency. Utilize Advanced Analytical Tools: Apply advanced analytical tools, including GenAI, for exploratory data analysis to extract deeper insights and facilitate informed decision-making. Ensure Compliance and Documentation: Maintain thorough documentation of data collection processes and compliance, contributing to continuous improvement initiatives and best practices. Achieve Performance Targets: Consistently deliver on individual and team targets with a strong emphasis on quality assurance and operational excellence. Contribute to Strategic Enhancements: Actively contribute to the development of new data collection methods and product enhancements to improve strategies based on market needs. Troubleshoot Complex Issues: Address and resolve complex data-related issues, provide support to team members, and foster a collaborative problem-solving environment. Lead Workflow Improvement Initiatives: Drive initiatives aimed at refining workflows and enhancing overall team performance through innovative process improvements. Preferred Qualification/What We Are Looking For: Masters degree in finance, economics, data science, or related fields. 1-2+ years of experience in data projects, including validation and cleansing techniques would be preferred. Strong analytical mindset with attention to detail and advanced quantitative skills. Proficiency in SQL and Excel; familiarity with BI tools (Tableau/Power BI) is essential. In-depth understanding of compliance in data collection and reporting. Exposure to Lean principles or automation tools is essential. Willingness to learn and adapt to modern technologies, including GenAI. Excellent communication skills with the ability to articulate complex data insights effectively. Strong time-management and multi-tasking skills to handle various business facets. Proficient in secondary research and online thematic research. Certification and experience in MS Office (Excel, Word, PowerPoint). Initiative and resourcefulness in problem-solving. Adaptable to flexible shifts and team environments. Strong project management skills for ad-hoc projects. Deep interest in market trends with the ability to analyze market dynamics. Strong collaboration and interpersonal skills to build relationships with stakeholders. Proactive in enhancing technical skills relevant to data analysis and reporting. Ability to share constructive feedback and foster a culture of continuous improvement.

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: Cloud-PaaS-AWS-Amazon Web Services . Experience: 3-5 Years .

Management Level:07 - Consultant Location:Bangalore/ Gurgaon/Pune/Mumbai Must have skills:Business Process Consulting Additional Skills:Architecture, Design, R&D, Innovation mgmt., PLM, BOM, Digital Twin and Thread space, Process Excellence, Digital Transformations, SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge Experience:Minimum of 6 years of experience is required Educational Qualification:Engineering & MBA Preferred Job Summary : Looking for Self-Driven and Seasoned Consultant with exceptional skills in coordinating, organizing and supporting execution of transformations/improvements in PLM Programs for our clients and to build and grow Engineering and R&D Digitization team. As a Consultant in Engineering and R&D Digitization, will need to work closely with leadership to define and deliver in the areas of PLM Enablement, BOM Management, Master Data Management and Digital Twin & Thread Roles & Responsibilities: Key responsibilities include: Lead Engineering and R&D Transformation Programs to drive Innovation and Process Enablement for the Clients Lead and Curate relevent assets, offering in PLM Enablement, Integrated BOM, Product & Engineering Master Data Management and Digital Twin and Thread areas and develop and execute Go To Market for the same along with Leadership In-depth understanding of Product Data Management and able to drive Product Journey with capabilities in defining PLM Roadmap, Process Design, Value Realization and PLM Maturity Assessment areas Experience in Master/Material Data Management and Data Migration Tools and solutions that meet our clients needs in innovative ways. Enabling transformation in R&D utilizing the SAP PLM capabilities by creating business processes for Package/Product design, Bill of Material Management, Engineering Change Management, Product Research, Simulations, Prototyping, Product Testing (qualitative & quantitative) and supplier integration. Qualification Professional & Technical Skills: At least 6 years of experience in Business Process Consulting, problem definition, Architecture/Design /Detailing of Processes At least 5 years of experience in SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge as well as general Project Management and Customer Management skills. At least 4 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 3 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools Additional Information: Experience of working in PLM, BOM, Master Data Management and Digital Twin and Thread space Expert in SAP PLM, Process Excellence, Data Governance, Digital Transformations and shaping end to end Engineering Transformations Concrete experience leading complex PLM Solution Design across multiple industries Ability to work in a rapidly changing environment where continuous innovation is desired. Analytical and quantitative skills and the ability to use hard data and metrics to back up assumptions and develop business cases. Ability to clearly communicate these data insights to others. Consultant / owner mentality, work closely with Team to deliver At least 6 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 3 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools

Job Description Job Title - S&C GN - Industry X - Digital Engineering R&D - Consultant Management Level:07 - Consultant Location:Bangalore/ Gurgaon/Pune/Mumbai Must have skills:Business Process Consulting Additional Skills:Architecture, Design, R&D, Innovation mgmt., PLM, BOM, Digital Twin and Thread space, Process Excellence, Digital Transformations, SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge Experience:Minimum of 6 years of experience is required Educational Qualification:Engineering & MBA Preferred Job Summary : Looking for Self-Driven and Seasoned Consultant with exceptional skills in coordinating, organizing and supporting execution of transformations/improvements in PLM Programs for our clients and to build and grow Engineering and R&D Digitization team. As a Consultant in Engineering and R&D Digitization, will need to work closely with leadership to define and deliver in the areas of PLM Enablement, BOM Management, Master Data Management and Digital Twin & Thread Roles & Responsibilities: Key responsibilities include: Lead Engineering and R&D Transformation Programs to drive Innovation and Process Enablement for the Clients Lead and Curate relevent assets, offering in PLM Enablement, Integrated BOM, Product & Engineering Master Data Management and Digital Twin and Thread areas and develop and execute Go To Market for the same along with Leadership In-depth understanding of Product Data Management and able to drive Product Journey with capabilities in defining PLM Roadmap, Process Design, Value Realization and PLM Maturity Assessment areas Experience in Master/Material Data Management and Data Migration Tools and solutions that meet our clients needs in innovative ways. Enabling transformation in R&D utilizing the SAP PLM capabilities by creating business processes for Package/Product design, Bill of Material Management, Engineering Change Management, Product Research, Simulations, Prototyping, Product Testing (qualitative & quantitative) and supplier integration. Qualification Professional & Technical Skills: At least 6 years of experience in Business Process Consulting, problem definition, Architecture/Design /Detailing of Processes At least 5 years of experience in SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge as well as general Project Management and Customer Management skills. At least 4 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 3 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools Additional Information: Experience of working in PLM, BOM, Master Data Management and Digital Twin and Thread space Expert in SAP PLM, Process Excellence, Data Governance, Digital Transformations and shaping end to end Engineering Transformations Concrete experience leading complex PLM Solution Design across multiple industries Ability to work in a rapidly changing environment where continuous innovation is desired. Analytical and quantitative skills and the ability to use hard data and metrics to back up assumptions and develop business cases. Ability to clearly communicate these data insights to others. Consultant / owner mentality, work closely with Team to deliver At least 6 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 3 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools

Job Title - MC - Industry X Digital Engineering R&D + Level (Manager) + Entity ( S&C Global Network) Management Level:07 - Manager Location:Bangalore/ Gurgaon/Pune/Mumbai Must have skills:Business Process Consulting Additional Skills:Problem definition, Architecture, Design, R&D, Innovation mgmt., PLM, BOM, Digital Twin and Thread space, Process Excellence, Digital Transformations, SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge Job Summary : Looking for Self-Driven and Seasoned Senior Manager/Manager with exceptional skills in coordinating, organizing and supporting execution of transformations/improvements in PLM Programs for our clients and to build and grow Engineering and R&D Digitization team. As Senior Manager/Manager in Engineering and R&D Digitization, will need to work closely with leadership to define and deliver in the areas of PLM Enablement, BOM Management, Master Data Management and Digital Twin & Thread Roles & Responsibilities: Key responsibilities include: Lead Engineering and R&D Transformation Programs to drive Innovation and Process Enablement for the Clients Lead and Curate relevent assets, offering in PLM Enablement, Integrated BOM, Product & Engineering Master Data Management and Digital Twin and Thread areas and develop and execute Go To Market for the same along with Leadership In-depth understanding of Product Data Management and able to drive Product Journey with capabilities in defining PLM Roadmap, Process Design, Value Realization and PLM Maturity Assessment areas Experience in Master/Material Data Management and Data Migration Tools and solutions that meet our clients needs in innovative ways. Enabling transformation in R&D utilizing the SAP PLM capabilities by creating business processes for Package/Product design, Bill of Material Management, Engineering Change Management, Product Research, Simulations, Prototyping, Product Testing (qualitative & quantitative) and supplier integration. Professional & Technical Skills: At least 10 years of experience in Business Process Consulting, problem definition, Architecture/Design /Detailing of Processes At least 7 years of experience in SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge as well as general Project Management and Customer Management skills. At least 6 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 5 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools Additional Information: Experience of working in PLM, BOM, Master Data Management and Digital Twin and Thread space Expert in SAP PLM, Process Excellence, Data Governance, Digital Transformations and shaping end to end Engineering Transformations Concrete experience leading complex PLM Solution Design across multiple industries Ability to work in a rapidly changing environment where continuous innovation is desired. Analytical and quantitative skills and the ability to use hard data and metrics to back up assumptions and develop business cases. Ability to clearly communicate these data insights to others. General Manager / owner mentality, work closely with Team to deliver At least 6 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 5 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools Qualification Experience:Minimum 5 years of experience is required Educational Qualification:Engineering & MBA Preferred

Responsibilities: * Lead Agile PLM migrations from start to finish. * Ensure data integrity through CLEANIN, cleansing, and reconciliation. * Collaborate with cross-functional teams on ETL and integration.

Job Requirements Perform statistical analysis, identify trends, patterns, and anomalies within datasets using Python libraries such as NumPy, SciPy, and Scikit-learn. Develop and implement predictive models or machine learning algorithms to address specific business problems.Looking for a lead engineer for a data anawith good knowledge in Python Programming ,Experience in working with core data analytics libraries in Python (Pandas, Numpy). He / she should have Experience Web Frameworks & APIs (Flask, FastApi) and containerization , Docker. Experienced and having knowledge in building ETL pipelines, data engineering workflows and Data Visualization (spark, plotly, Dash, SQL) Experience in working with MS Azure Cloud and below Azure Services (Databricks, Data Factory, Azure App Service, Azure Batch Service, CosmosDB, Azure Functions, Azure Datalake) Machine Learning Concepts & Libraries (Time series forecasting , Anomaly Detection, Failure prediction, scikit-learn, statsmodels, PyOD, TensorFlow, PyTorch ) Work Experience Expert in Python Programming Language • Strong understanding of Python syntax, data structures, OOP, and best practices. • Experience with writing efficient, maintainable, and scalable Python code. 2: Experience in working with core data analytics libraries in Python • Pandas – Data manipulation and analysis • NumPy – Numerical computations • SciPy – Scientific computing, signal processing • Scikit-learn – Classical machine learning algorithms • Statsmodels – Statistical modeling and time series analysis 3: Web Frameworks & APIs • Flask, FastAPI – RESTful APIs and web apps 4: Experience and knowledge in building ETL pipelines and data engineering workflows, including: • Ability to work with structured and unstructured data from various sources. • Understanding of best practices for data quality, reliability, and scalability. • Proficiency in data ingestion, cleansing, transformation, and orchestration. • PySpark, Databricks – distributed data processing frameworks • Azure Data factory -ETL tool • Good SQL knowledge 5: Data Visualization and Dashboards • Plotly, Dash – Interactive visualizations and dashboards • Matplotlib, Seaborn – Static visualizations 6: Experience in working with MS Azure Cloud and below Azure Services: • Azure Databricks • Azure Data Factory • Azure App Service • Azure Batch Service • Azure Cosmos DB • Azure Datalake • Azure DevOps • Azure Functions • Azure Container Registry • Version control (Git) 7: Experience in containerization and Docker, including: • Building, deploying, and managing applications using Docker containers. • Writing and optimizing Docker files for Python and analytics projects. 8: Machine Learning Concepts & Libraries • Time series forecasting • Failure prediction (classification/regression) • Feature engineering from sensor data • Anomaly Detection • Model Evaluation and Deployment • scikit-learn, statsmodels, PyOD, TensorFlow, PyTorch

TattvaFoundation 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.

About You experience, education, skills, and accomplishments Bachelor degree is required. 3-5 years direct experience preferred working in a role required to manage customer and/or product data. Working knowledge of CRM, preferably Salesforce and order management and billing systems like Netsuite or Zuora. Experience with D&B, Zoominfo, and other 3rd party data providers is preferred. Must possess knowledge of data governance concepts Solid business acumen of business transactions and end-to-end sales processes. Experience with quality management practices including lean sigma is helpful Detail oriented and experience in audit and data cleansing. What will you be doing in this role: Daily Data Management Maintain data sets to designated level of quality and standards Review and monitor the quality of both new and reoccurring data sets. Monitor operational dashboards for anomalies and patterns indicating a broader existing or potential issue. Support sales, contract, and order processing teams in processing or correcting data directly affecting customer transactions. Support reporting and planning teams in rectifying data quality problems directly affecting operational reports. Collaborate with key global functions including sales, sales operations, customer support, fulfillment, order management and billing to reduce re-work. Ensure all business activities follow the governance rules and corporate compliance standards. Manage workflow via cases to support root cause analysis and overall data health measurements. Special Project Support Support data cleansing, mapping, or improvement projects initiated anywhere across the organization. Review Salesforce.com, NetSuite, and other data sources for data accuracy. Support testing of new or enhanced data acquisition and maintenance tooling and processes. Collaborate with global teams around the world in local time zones to discuss and troubleshoot issues. Talent Development & Management Be part of a high-performance culture working towards SMART objectives to measure his/her individual performance. Manage and take personal responsibility for ones professional development plan. Act as a strong contributor to an operating culture that makes possible collaboration, open communications, and a focus on talent development. Work with management to ensure clear role definitions, processes, ownership and expectations.

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 customer€™s 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 .

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 Data Engineering .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: Azure Data Engineering . Experience: 3-5 Years .

This role is for one of Weekday's clients. The ideal candidate should have a minimum of 3 years of experience and be located in Bengaluru for a full-time position. We are seeking a skilled and detail-oriented Informatica Data Quality (IDQ) Developer to join our data engineering team. As an IDQ Developer, your main responsibility will be to develop and implement data quality solutions using Informatica tools. This is crucial to support our organization's data governance, analytics, and reporting initiatives. The perfect candidate will possess a strong background in data profiling, cleansing, and standardization. They should also have a passion for enhancing data accuracy and reliability across enterprise systems. Your key responsibilities will include designing and developing IDQ solutions by building and configuring Informatica Data Quality mappings, workflows, and rules. You will also conduct data profiling and analysis on source systems to identify anomalies and inconsistencies. This will involve translating business data quality requirements into reusable rules and collaborating with ETL and data integration teams to embed data quality checks into workflows. Additionally, you will be responsible for monitoring data quality, troubleshooting technical issues, and maintaining technical documentation for IDQ solutions. Required skills and qualifications for this role include: - At least 3 years of experience in Informatica Data Quality development in a data-intensive or enterprise environment. - Strong hands-on experience with IDQ components such as mappings, mapplets, transformations, and data quality rules. - Proficiency in data profiling, cleansing, parsing, standardization, de-duplication, and address validation techniques. - Good knowledge of relational databases like Oracle, SQL Server, PostgreSQL, and the ability to write complex SQL queries. - Understanding of data governance, metadata management, and master data management concepts. - Experience working with data integration tools, especially Informatica PowerCenter, is a plus. - Strong problem-solving skills, attention to detail, and excellent communication and collaboration skills. - A Bachelor's degree in Computer Science, Information Systems, or a related field is required. Preferred qualifications include Informatica IDQ Certification, experience in regulated industries like banking, insurance, or healthcare, and familiarity with cloud-based data platforms such as AWS, GCP, or Azure.,

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 Cloud Dataflow .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

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: 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: Azure Data Lake Analytics . 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: Cloud-PaaS-AWS-Amazon Web Services .Experience: 3-5 Years .

Inginit 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 Team: The Private Equity and Advisory Profiles Team primarily focuses on maintaining and updating profiles of Private Equity and Venture Capital firms. With global coverage, we aim to deliver research, content, and analytics about the public and private capital markets to investment banks, investment managers and alternative investment firms. The team also establishes relationships with Private Equity Firms to gather rare insights about public & private investments, exits, and investment strategies. This effort is coupled with our real time monitoring of global industry trade publications and websites/news aggregators to cover and track all public/private investment markets. The Impact: This role will influence the Private Equity/Venture Capital dataset. In addition to collecting and validating the data, this role may require working with peers, other stakeholders and on process improvement projects. This position is an excellent stepping stone to understand PE/VC domain, that will allow you to gain a comprehensive understanding of their working, and enable you to learn facets of PE/VC, and as well as apply this knowledge to your daily responsibilities. Whats in it for you: Primarily responsible for day-to-day collection and validation of data related to PE/VC firms. Once strong fundamental understanding of the dataset and proficiency at workflows is developed, this role would require working with new talent to develop/enhance their skillset and working on process improvement projects including LEAN/automation projects that supports multiple SPGMI products and also an opportunity to venture into the field of data analysis and explore the world of Automation and Artificial Intelligence if have a knack for the same. Responsibilities: Lead Data Collection Efforts: Gather and verify extensive data on market participants, utilizing publicly available sources including but not limited to websites, news articles, and various public registries & filings to provideaccurate insights and ensure thorough data coverage. Implement Data Quality Standards: Oversee and implement rigorous data cleansing processes to ensure high accuracy and consistency in datasets, utilizing best practices and methodologies. Conduct Advanced Reporting and Analysis: Perform in-depth reporting and trend analysis, generating comprehensive reports that provide actionable insights for strategic decision-making. Drive Automation and Efficiency: Spearhead automation initiatives for data collection and reporting tasks using SQL and Lean methodologies to optimize processes and enhance overall efficiency. Utilize Advanced Analytical Tools: Apply advanced analytical tools, including GenAI, for exploratory data analysis to extract deeper insights and facilitate informed decision-making. Ensure Compliance and Documentation: Maintain thorough documentation of data collection processes and compliance, contributing to continuous improvement initiatives and best practices. Achieve Performance Targets: Consistently deliver on individual and team targets with a strong emphasis on quality assurance and operational excellence. Contribute to Strategic Enhancements: Actively contribute to the development of new data collection methods and product enhancements to improve strategies based on market needs. Troubleshoot Complex Issues: Address and resolve complex data-related issues, provide support to team members, and foster a collaborative problem-solving environment. Lead Workflow Improvement Initiatives: Drive initiatives aimed at refining workflows and enhancing overall team performance through innovative process improvements. Preferred Qualification/What We Are Looking For: Masters degree in finance, economics, data science, or related fields. 1-2+ years of experience in data projects, including validation and cleansing techniques would be preferred. Strong analytical mindset with attention to detail and advanced quantitative skills. Proficiency in SQL and Excel; familiarity with BI tools (Tableau/Power BI) is essential. In-depth understanding of compliance in data collection and reporting. Exposure to Lean principles or automation tools is essential. Willingness to learn and adapt to modern technologies, including GenAI. Excellent communication skills with the ability to articulate complex data insights effectively. Strong time-management and multi-tasking skills to handle various business facets. Proficient in secondary research and online thematic research. Certification and experience in MS Office (Excel, Word, PowerPoint). Initiative and resourcefulness in problem-solving. Adaptable to flexible shifts and team environments. Strong project management skills for ad-hoc projects. Deep interest in market trends with the ability to analyze market dynamics. Strong collaboration and interpersonal skills to build relationships with stakeholders. Proactive in enhancing technical skills relevant to data analysis and reporting. Ability to share constructive feedback and foster a culture of continuous improvement. What Were Looking For: MBA/ M.COM candidates with good academic track record Ability to multi-task and work in a team environment, while following flexible schedule to meet deadlines Well versed with secondary research sources Certification and working knowledge/experience in MS-office (Excel, Word, PowerPoint) Background in Finance or related fields is preferred Comfortable taking initiative and demonstrating resourcefulness Strong attention to detail and persistent approach to work Excellent communication skills, both written and oral Strong quantitative, analytical and interpretive skills Ability to conduct efficient thematic online research Knowledge of any database or automation tools would be an added advantage. Adaptability to work in any shifts

You will be joining Acacia Hotel as a Pool Attendant, where your primary responsibility will be to ensure the cleanliness and safety of the pool area. Your role will involve maintaining the pool area, monitoring for safety hazards, inspecting and maintaining pool equipment, and testing water quality to ensure proper chemical levels. Additionally, you will be expected to assist guests with pool-related requests, enforce pool rules, and provide excellent customer service. Your strong swimming skills, punctuality, reliability, and basic knowledge of water rescue and safety will be crucial in performing these duties effectively. Acacia Hotel is a luxury establishment located in Morjim, Goa, India, known for providing exceptional service and unforgettable experiences to its guests. As part of a team of 51-200 employees, you will contribute to upholding the hotel's reputation and ensuring guest satisfaction. The hotel offers various amenities, including a stunning pool area, where your role as a Pool Attendant will play a vital part in maintaining high standards. To excel in this role, you should have 1 to 3 years of experience in a similar position, possess knowledge of pool cleaning and maintenance, be familiar with pool chemicals and their proper usage, and demonstrate responsibility and attentiveness to guest needs. Your duties will also include responding promptly to emergencies or accidents in the pool area and performing regular maintenance tasks such as cleaning pool furniture and replacing towels. If you are looking for a full-time position in a beautiful location and have the necessary qualifications and skills, we encourage you to apply for the Pool Attendant role at Acacia Hotel.,

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 BusinessObjects Data Services Good to have skills : NAMinimum 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. Your typical day will involve collaborating with various teams to ensure project milestones are met, addressing any challenges that arise, and providing guidance to team members to foster a productive work environment. You will also engage in strategic discussions to align project goals with organizational objectives, ensuring that all stakeholders are informed and involved in the decision-making process. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and implement necessary adjustments to meet deadlines.- Lead the team and meetings with other streams, provide guidance to team on migration approach and issues.- Collaborating with functional teams to understand requirements and translate them into technical specifications- Oversee quality management tasks, such as peer and quality reviews of specifications, design documents, and code reviews Professional & Technical Skills: -Strong Hand-on knowledge on SAP Data Services (BODS), Migration Cockpit and Migration Object Modeler.- Strong knowledge on technical architecture of Data Services ETL jobs.- Should be aware of the SAP data migration process, best practices, dependency between data objects. -Proficiency in SAP BusinessObjects Data Services.- Strong understanding of data integration and transformation processes.- Experience with ETL (Extract, Transform, Load) methodologies.- Familiarity with database management systems and SQL.- Ability to troubleshoot and resolve technical issues efficiently. Additional Information:- Optional / nice-to-have:Knowledge on Accenture IDP and IDQ Platform to support Data Cleansing activities.- The candidate should have minimum 8 -10 years of experience in SAP BusinessObjects Data Services.- Candidate must have min. 8-10 years Exp. in Data Migration project.- This position is based at our Noida office.- A 15-year full time education is required. Qualification 15 years full time education

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. AtAHEAD, we prioritize creating a culture of belonging,where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer,anddo not discriminatebased onan individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, maritalstatus,or any other protected characteristic under applicable law, whether actual or perceived. We embraceall candidatesthatwillcontribute to the diversification and enrichment of ideas andperspectives atAHEAD. The Senior Consultant, Migration Lead plays a critical role in delivering large-scale IT transformation projects for AHEAD clients. This role focuses on data center migration, consolidation, and exit strategies, cloud transformation of server, storage, virtualization, and database platforms, as well as application modernization and resiliency planning. The consultant will leverage AHEAD Migration Methodology and Platform for data aggregation, analysis, planning, orchestration, and automation to ensure efficient, low-risk transformation outcomes. Key Responsibilities Migration Leadership Maintain expert-level knowledge of the Migration Platform and its use in migration and transformation projects. Drive best practices for data ingestion, dependency mapping, and orchestration of runbook-driven transformation events. Create and maintain data integration scripts to support repeatable, automated data ingestion and ensure ongoing data quality. Develop and maintain detailed runbook workflows within the Migration Platform to orchestrate both technical and business tasks. Client & Project Delivery Lead discovery, analysis, planning, and execution phases across client engagements. Conduct application and infrastructure dependency analysis to establish transformation groups, transformation waves, and cutover strategies. Facilitate and lead SME application validation workshops with client teams to capture system, application, and dependency details. Collaborate with AHEAD Project Management to ensure adherence to methodology, scope, and quality of delivery services. Oversee assigned consultants to ensure consistency, accuracy, and adherence to project timelines. Mentor and guide migration consultants and partner delivery resources to build skills and ensure consistent quality across projects. Execution Lead transformation execution using the Migration Platform, supporting both event-based command centers and sprint-driven migration waves. Conduct technical and logistical migration strategy sessions with clients. Identify and mitigate project risks through proactive communication and planning. Communication Lead client-facing sessions, including status meetings, SME workshops, and executive briefings. Deliver clear, concise, and actionable reports, dashboards, and presentations using Migration Platform data. Drive clarity and alignment across client and AHEAD teams by using data-driven analysis and migration planning outputs Engage directly with executive stakeholders, translating technical insights into business-level recommendations and outcomes. Thought Leadership Act as a thought leader within AHEAD by contributing to the development of methodologies and migration best practices. Drive continuous improvement by incorporating lessons learned and innovations into future client delivery. Knowledge and Expertise Proven experience in data center migrations, cloud transformation, and application modernization. Strong understanding of server, storage, networking, and cloud/hybrid environments. Experience with application and infrastructure dependency analysis. Proficiency with data analysis, validation, cleansing, and mapping for migration projects. Advanced knowledge of Microsoft Excel and data management practices. Scripting experience (Python, PowerShell, Java, Groovy preferred) for automation and integration. Familiarity with cloud platforms (AWS, Azure, GCP), container technologies (Kubernetes, OpenShift, Docker), and hybrid deployment architectures. Familiarity with FinOps practices and cost optimization strategies in migration and cloud transformation projects. Experience with automation frameworks and Infrastructure as Code (Terraform, Ansible, CloudFormation, etc.). Awareness of emerging technologies such as AI/ML in migration planning, sustainability practices in IT transformation, and evolving cloud-native architectures. Qualifications 2+ years of experience serving as a lead migration consultant leveraging TDS TransitionManager’. 5+ years of experience delivering consulting services for large-scale transformation projects. 8+ years of IT project experience with infrastructure, cloud, and application migration initiatives. Experience with discovery platforms such as Device42, ServiceNow Discovery/MID, AWS Migration Evaluator, Microsoft Azure Migrate, Google StratoZone, etc. are also highly preferred. Experience with other systems of record such as ServiceNow CMDB, LeanIX, Confluence, Jira, SolarWinds, Datadog, Dynatrace, etc. are also important skills used in the delivery of migration services. Understanding of common application architectures and components (database, middleware, web, etc.) Education Bachelors degree in Computer Information Systems, Computer Science, Mathematics, or similar discipline. Why AHEAD: Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between. We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning. USA Employment Benefits include - Medical, Dental, and Vision Insurance - 401(k) - Paid company holidays - Paid time off - Paid parental and caregiver leave - Plus more! See benefits https://www.aheadbenefits.com/ for additional details. The compensation range indicated in this posting reflects the On-Target Earnings ("OTE") for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidates relevant experience, qualifications, and geographic location.