Job Description

JOB DESCRIPTION Basic Information Position Title Data Visualization I Internal Designation Data Visualization I Job Role Reporting to Senior Data Visualization Engineer/Lead Data Visualization Engineer Sub LOB / Department Data Visualization Location Total Headcount (Direct) Supervised NA Total Headcount (Direct / Indirect) Supervised NA Job Purpose Professionals in this group apply subject matter knowledge in data development and management platforms and applications. The individuals in this group design and implement high-performance, scalable and optimized data solutions for large enterprise wide data mining and processing. They are responsible for design and development of data flows and Big Data Platform deployment and implementation. Incumbents usually require expert knowledge in Apache, Hadoop, NoSQL databases, Spark, Hive etc. Key Responsibilities Responsibilities . Work with large datasets to extract and visualize insights, trends and strategic summaries . Support strategic projects using Tableau as part of a team with multiple years of visualization experience. . Organize and project manage data collection and analytics . Quickly aggregate, normalize and synthe information . Manage data transformation and create visualizations . Anticipate and resolve complex problems that impact data design . Assist in critical technical and design decisions during the development process Specific Authorities( Financial & Non Financial) NA Key Performance Indicators . Ability to rapidly synthe information and prepare detailed insights . Comfortable with big data sets and normalization . Experience in performance measurement or data analysis Job Requirements Qualifications .Bachelor\'s degree in Computer Science, Software Engineering or a related technical discipline .Knowledge of any of the programming languages: Python, Scala or Java .Experience with manipulating large data sets across Hadoop or inverted index stores like Elastic Search . Experience in Tableau or other Data Visualization Tools (QlikView, Spotfire, PowerBI) Experience .1+ years\' full-time experience in Data Visualization and Big Data Technologies .Mandatory experience in Mid to Expert Level programming capabilities in a large-scale enterprise .Experience with Distributed Versioning Control environments such as GIT .Familiarity with development tools - experience on either IntelliJ / Eclipse / VSCode IDE, Build Tool Maven .Experience on Azure cloud including Data Factory, Databricks, Data Lake Storage is an advantage Technical Competencies Skills List Knowledge Applicability Data Visualisation .Interpretation of data analysis and findings .Types of information displays .Suitability of different data representations and visual displays for different contexts .Data visualisation tools and techniques .Elements of data dashboards . Select appropriate visualisation techniques and information displays to convey data and findings .Organise the presentation of data to reflect trends and correlations in a visually compelling way .Incorporate appropriate elements to create informative and dynamic data displays .Develop basic dashboards and scorecards to display internal as well as external benchmark data .Incorporate interactive graphics, visuals and technical features into the data presentation .Communicate limitations of data and interpretations of findings Applications Integration .Types of middleware and their features .Proper usage of middleware .Different types of platforms on which applications run .Potential technical, compatibility or performance issues in application integration .Functions of Application Programming Interfaces (APIs) .Identify opportunities for creating connections among various devices, databases, software and applications .Perform feasibility scan and assessment to identify potential middleware to be used .Utilise middleware to integrate data and functions across application programs within an enterprise .Support API-level integration .Perform tests and checks on the connections between disparate application programs .Verify proper functioning of modules and applications across multiple or integrated platforms .Highlight technical, compatibility or performance issues following integration of applications or platforms on which they are used .Implement modifications to middleware or the programming process to enhance the integration and connections of application programs Coding and Development . Concepts and best practices related to Enterprise Application Integration and related challenges, risks during implementation . Latest technical trends relevant to product/solution deployed . Recommend/implement industry best practices to internal / client stakeholders. . Create plans, strategies, procedures & methods for implementation of Enterprise wide integration activities and lead such projects . Perform and demonstrate POCs to champion the adoption of latest technology relevant to the solution context (including providing business justification). . Publish tech whitepapers and articles internal/external forums. . Devise coding standards and frameworks to be used in development work across the organization Business Needs Analysis .Business requirements from key stakeholders .Relevant solutions or programmes .Types of business solutions .Elicit business requirements from operational management or other stakeholders using appropriate techniques .Review documentation to verify accuracy and understanding of business needs .Analyse data gathered to identify the business problems, requirements and opportunities presented .Assist in analysis of stakeholder objectives and their underlying drivers .Explore relevant solutions or programmes, from an existing repertoire, that can address business needs .Present solution options for consideration .Explain how solutions will impact the business and address requirements Data Analytics .Principles of data modelling and data visualisation .Techniques used in data science and how to apply them .Range of data protection and legal issues .Range of functional languages that can be applied for business insights .Methods to apply statistical techniques and machine learning .Importance of the domain context for data science .Underlying data structures involved for data science .Principles of data modelling and data visualisation .Techniques used in data science and how to apply them .Range of data protection and legal issues .Range of functional languages that can be applied for business insights .Methods to apply statistical techniques and machine learning .Importance of the domain context for data science .Underlying data structures involved for data science Functional Competencies Skills List Knowledge Applicability Life Insurance - Generalist Demonstrate basic knowledge of: - Product portfolio - Sales Channels (Branch, Virtual Channels) - Sales process -Claims process -Risk & Regulatory Frameworks To the effect of: - recognizing the importance and relevance to own job area - interpreting information to perform basic work in an area, generally under supervision - knowing when to obtain help in case of issues Life Insurance - Transformation Demonstrate basic knowledge of: - Social Networking and Online Retail trends - Analytics - Biometric Authentication - Channel Integration - Omni Channel To the effect of: - recognizing the importance and relevance to own job area - interpreting information to perform basic work in an area, generally under supervision - knowing when to obtain help in case of issues Key Interactions Internal Nature or purpose of interaction All internal departments Inputs needed from ETLI Sales NA External Nature or purpose of interaction Industry peers Documented By Approved By HR certification By

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