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Senior Executive/Data Analyst - Data & Aanalytics (5-8 yrs)

5.00 to 8.00 Years   Bangalore   25 Apr, 2022
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryRecruitment Services
Functional AreaStatistics / Analytics
EmploymentTypeFull-time

Job Description

    Job Type - Permanent - This is an exciting opportunity to join the product data engagement Team as part of Data & Analytics, Data Centre of Excellence (CoE). This role is hands on and tasked to deliver the data foundations needed to deliver critical analytics products that generates maximum value from data to drive business and organisational performance.Client DetailsAbout Data & Analytics at Unilever At Unilever, youre much more than your job title. Here, you can uncover the work youre most passionate about. And you can put your fresh thinking into action to create real impact across the world. For Unilever to remain competitive in the future, we need to continue the path to become data intelligent. The purpose of the Data & Analytics team is to help Unilever become Data Intelligent and a clear analytical competitor- partnering with the business to power key decisions with data, insights, advanced analytics and AI. Our ambition is to enable democratisation of data, information and insights as a completely agile organisation that builds fantastic careers for our people and is accountable for delivering great work that maximises impact and delivers growth. The Data & Analytics function endeavours to create clear accountabilities for all aspects of Data Strategy, Data Management, Information Management, Analytics, and Insights. We are accountable for impact of solutions, maintaining market relevance and minimising unnecessary overlaps in analytics products, ensuring simplicity and that our solutions better meet the needs of our users. We have four key operating principles: - One team - Connected to the business - Deploying with pace and discipline - Designing for experience Our vision is to make Unilever data intelligent, partnering with the business to power key decisions with data, advanced analytics and AI to accelerate growth. Our 5 strategies to achieve this are: - Accelerate & simplify access to relevant data, information and insights - Build in-house, leading-edge data, information, insights & analytics capability - Lead the data & insights culture and careers to empower employees across Unilever - Rapidly embed analytics products, solutions and services to drive growth - Advance Information Automation at ScaleDescriptionThe role has three main accountabilities: - Serve as the trusted data analyst for the D&A analytics product team, building data into prduct DNA and driving the data roadmap for product - As a functional Data CoE analyst in supporting flagship analytics products you will design, execute and embed Enterprise Data Platform, delivering the data foundations needed to fuel our analytical products and deliver the democratisation of our data across the whole organisation. - As the Data Analyst, drive excellence in data readiness for the product ensuring the delivery of a strong enterprise data platform. This will include providing transparency over end-to-end linage, data governance and quality controls across our internal, 2nd and 3rd party data assets from source to product. - As a member of the product data engagement team you will be responsible to partner with analytics product owners to deliver underlying data platform. You will work with the Senior Data CoE Management to execute and collaborate with senior stakeholders to (i)drive cultural shift around data within the organization; (ii) explore innovation opportunities around new data channels, new data feeds; (iii) identify interdependent activities and bias towards front-loading high impact work.ProfileAll About You The ideal candidate will be a well-rounded commercial and analytics professional. They will have a good knowledge of the Global Customer operations / Shopper insights / ecommerce/promotion management and value chain in a consumer goods company, that is complemented by working knowledge of data management, data strategy or business information intelligence, and emerging technologies required to deliver a world class data service. Most importantly, the ideal candidate will enjoy rolling their sleeves up to drive towards outcomes. Relevant Experience: - Bachelors degree in computer science, statistics, mathematics, data modelling, economics, finance, business administration or similar technical background - Minimum 5+ years in demonstrable enterprise value realization from data and business intelligence. - Ability to manage multiple requests and priorities simultaneously in a highly VUCA and competitive market- Data Governance understanding preferred- Azure experience preferredProfessional Skills: - Data lifecycle management - Fully Operational - Analytical power and actionable insights generation - Working Knowledge- data domain knowledge of Global Customer / Shopper / ecommerce / exploitation/Trade promotion - preferable - Business Intelligence / Data Modelling and Visualization - Fully Operational- Technical knowledge SQL - working Knowledge - Coding Skills in Azure data bricks - preferable knowledgeGeneral Skills: - Strong Communication and influencing skills - working Knowledge - Effective Team Management - preferable Knowledge - Project Management - preferable KnowledgeJob OfferRewards and benefits are just one part of the reason Unilever is a great place to work. We offer significant benefits, including a strong bonus, healthcare options, company share scheme, professional membership support and much more. In addition, there are a wide range of options around flexible working for the future.We offer a supportive and inclusive working environment that enables you to learn, develop and be the best you can in a role that suits you. Were committed to building an inclusive culture where everyone working at Unilever feels able to bring their complete and authentic self to work.,

Keyskills :
data feedsdata centerdata domaindata analysisdata modelingdata managementdata governanceenterprise datacomputer science

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