DATA ANALYST

Data Analyst - ) which can offer ways to improve a business, thus affecting business decisions. Responsibilities Managing the technical scope of the project in line with the requirements at all stages Gather information from various sources (data warehouses, databases, data integration, and modeling) and interpret patterns and trends Develop record management processes and policies Build and maintain relationships at all levels within the client base and understand their requirements Provide 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 the customers business and prepare reports for internal and external audiences using business analytics reporting tools Create data dashboards, graphs, and visualizations to showcase business performance and 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. Competencies Required 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 serves as a guide to others. Master Coaches others and builds organizational capability in the competency area. Serves as a key resource for that competency and is recognized within the entire organization. Behavioral Competencies Formulation & Prioritization Client Centricity Execution Excellence Passion for Results Confidence Business Acumen Performance Parameters No. Performance Parameter Measure 1. Analyzes data sets and provides relevant information to the client No. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy #J-18808-Ljbffr