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Data Management and Data Visualisation

10.00 to 12.00 Years   Jamshedpur, Mumbai City   12 Jul, 2022
Job LocationJamshedpur, Mumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaDBA / Datawarehousing
EmploymentTypeFull-time

Job Description

    Dear Candidate,Were Hiring for For Data Management and Data VisualisationRoles & Responsibilities :-This is an exciting opportunity to be a part of the team that develops foundational capabilities enabling enhanced analytics and measurement, critical to shaping integrated strategies and providing inferences to the business within the Tata group companies.The incumbent will be part of the Analytics, Insights & Experimentation team and will report to the Senior Management. Heshe will be a P&L Leader and drive Client Profitability through team of individual contributors, working on areas such as designing and building data martswarehousedata lakes for areas such as marketing planning functions, customer segmentation and targeting, product offerings, developing CRM strategies, multi - channel analysis, management and optimization, web analytics, efforts and trackevaluation of marketing programs for different portfolios. The work would primarily involve the modelling of structured and unstructured data and visualisation of insights, reports, dashboards and analytics.Job ResponsibilitiesExperience in Technical & Functional roles in DWBIAnalytics, R&D & Management as Techno Functional expert in large and startup enterprises.Driving innovation on development of DWBIAnalytics products and applications , Advance visualization using d3js and other open source javascript libraries, automation.Analytics to Interpret Predictive Machine Learning Models ( Classification & Regression)Ability to Incubate COE s in Microstrategy, Pentaho, Tableau, MS - BIPowerBI, IBM BPM and DataStage.Creating new insightful stories from complex unstructured data in ways that assist in translating problem statements into actionable decisionsDesign and define product architecture for a smart data discovery and visualization platform usingElastic Search, to personalize and scale out a real - time search experience without expensive operations infrastructure.Design and create algorithm for intelligent search functionality ( NLP based Q & A) based on Lucene background using APIs to visualize the results using d3js and AMCharts.Expertise in building & Architecting Data Warehouse solutions which includes Enterprise Data Modeling,Experience in Hadoop, Hive, Map - R, MS SQLPostgresSQL, ETL and Reporting Tools .Regular involvement in Pre Sales activities and Proposals including RFP Response.RequirementsSkill setsMust - have technical skillso Advanced proficiency with MS Office (Excel, Word, PPT etc.)o Experience in BI, Big Data and Data Visualisationo Basic understanding of advanced analytics and managing Unstructured dataMust - have soft skillso Problem Solving and lateral thinkingo Excellent written and oral communication skillso Good interpersonal, problem solving, reasoning and analytical skillso People Management Experience, managing performance of team.o Ability of depicting the results of a statistical analysis in an easy - to - understand mannero Detailed oriented, organized, demonstrated ability to manage multiple projects simultaneouslyGood to have soft skillso Candidates from Consulting background preferredo Excellent analytical, problem - solving and storytelling skills; effectively uses numbers to gain understanding and or illustrate a pointo Strong number crunching and quantitative skillso Intellectual and analytical curiosity - initiative to dig into the why, what & howo Strong aptitude on working with unstructured problemso Start - up environment and product development experienceEducation and ExperiencePreferably a Bachelors (10+ Years) or Masters in Economics, Finance, Mathematics, Statistics, Engineering, Experience in Analytics domain necessary.Minimum 2 4 Yrs of Experience as People Manager and driving performance of Business, Team and Self.Regards,Team HR

Keyskills :
data modelingdata management

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