54 Cleansing Jobs - Page 3

Role Title Data Analyst Reports To Project Manager/ Database Lead Direct Reports NA Indirect Reports (Upto N-2) NA 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 Managing the technical scope of the project in line with the requirements at all stages Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends Develop record management process and policies Build and maintain relationships at all levels within the client base and understand their requirements. Providing sales data, proposals, data insights and account reviews to the client base Identify areas to increase efficiency and automation of processes Set up and maintain automated data processes Identify, evaluate and implement external services and tools to support data validation and cleansing. Produce and track key performance indicators Analyze the data sets and provide adequate information Liaise with internal and external clients to fully understand data content Design and carry out surveys and analyze survey data as per the customer requirement Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool Develop predictive models and share insights with the clients as per their requirement Stakeholder Interaction Stakeholder Type Stakeholder Identification Purpose of Interaction Internal Project Manager/ Database Lead Regular reporting & updates External Clients Client engagement, reviews etc Display Lists the competencies required to perform this role effectively: Functional Competencies/ Skill Leveraging Technology - Knowledge of current and upcoming technology (automation, tools and systems) to build efficiencies and effectiveness in own function/ Client organization - Expert Process Excellence - Ability to follow the standards and norms to produce consistent results, provide effective control and reduction of risk - Expert Technical knowledge - knowledge of various programming languages/ software (Python, Microsoft Excel, VBA, Matlab, SQL etc) and tools on data analytics - Expert Competency Levels Foundation Knowledgeable about the competency requirements. Demonstrates (in parts) frequently with minimal support and guidance. Competent Consistently demonstrates the full range of the competency without guidance. Extends the competency to difficult and unknown situations as well. Expert Applies the competency in all situations and is serves as a guide to others as well. Master Coaches others and builds organizational capability in the competency area. Serves as a key resource for that competency and is recognised within the entire organization. Behavioral Competencies Formulation &Prioritization Client centricity Execution Excellence Passion for Results Confidence Business Acumen Deliver No. Performance Parameter Measure 1. Analyses data sets and provide relevant information to the client No. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy

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

Navkar Digital Institute 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.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Microsoft Azure Data Services Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 Years of full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements using Microsoft Azure Data Services. Your typical day will involve working with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to develop and deploy scalable and reliable data solutions. Roles & Responsibilities: Design, develop, and deploy scalable and reliable data solutions using Microsoft Azure Data Services, including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. Develop and maintain data pipelines, data models, and data integration solutions using Azure Data Services. Ensure data quality and integrity by implementing data validation and cleansing techniques. Stay updated with the latest advancements in Microsoft Azure Data Services and integrate innovative approaches for sustained competitive advantage. Professional & Technical Skills: Must To Have Skills:Strong experience in Microsoft Azure Data Services. Good To Have Skills:Experience with other cloud platforms such as AWS or Google Cloud Platform. Experience in designing and developing data pipelines, data models, and data integration solutions using Azure Data Services. Strong understanding of data validation and cleansing techniques. Experience with data visualization tools such as Power BI or Tableau. Experience with programming languages such as Python or SQL. Additional Information: The candidate should have a minimum of 5 years of experience in Microsoft Azure Data Services. The ideal candidate will possess a strong educational background in computer science, information technology, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Bengaluru office. Qualification 15 Years of full time education