Data SME/Data Specialist - Data & Analytics

Job Description

Industry - Accounting / Finance / AuditCategory - Finance Job Type - Permanent Job Description - The Data Specialist is a key member of the Information & Analytics team, responsible for transforming and modelling the data with the goal of discovering useful information and supporting decision making. He/she will report into the Data Lead, South Asia Cluster and will identify where, when, how and why the business uses data by democratising data across the organisation.Client DetailsPage Group are proud to be partnering with Unilever to support an ambitious global expansion on their Data & Analytics capabilities - investing further into technology for a sustainable, ethical and inclusive future. Unilever is one of the worlds largest consumer goods companies, with sales in over 190 countries and reaching 2 billion consumers a day. Unilever has more than 400 brands found in homes around the world, including Persil, Dove, Knorr, Domestos, Hellmanns, Lipton, Walls, PG Tips, Ben & Jerrys, Marmite, Magnum and Lynx. We are known for our great brands, a global footprint and our belief in doing business the right way.UNILEVER DATA & ANALYTICSData & Analytics has a purpose to make Unilever Data Intelligent by powering key decisions with data, advanced analytics and AI.The vision of a Future-Fit Unilever is of an organisation powered by data throughout all aspects of the companys operations and processes; leveraging data to vastly improve innovation and build stronger brands, drive excellence in execution with our customers, enhance the consumer experience through personalisation and deeper engagement, and transforming our internal operations to run more efficiently.Our team of Data & Analytics specialists operate in every part of our business and we are looking to grow our capabilities with tomorrows stars. A unique opportunity to work in a data and analytics role, with one of the strongest FMCG brands in the world, giving you the ability to link your work directly with business growth, and working on cutting edge technology in an innovative environment. Your role will have direct impact on Unilevers purpose: to make sustainable living common place.DescriptionKey Accountabilities/Deliverables- Support the Enterprise data & insight strategy for the Unilever, including the transformation of the wider organisation into a data driven team- Partner with the Global Data Expertise Group and the local business users to define how data can drive value across the business.- Identify opportunities to apply diagnostic insights to data, aligning to the strategy.Execute the data & insights delivery plan - that includes commitments to: - Democratisation of Data across the whole organisation- Proactively identifying enrichment/growth opportunities, unlocking innovation through experimentation- Use recognized data analysis & visualization techniques to make sense of data in a way that helps the markets to discover useful information to improve the overall business objectives and performance- Recommend and extract the value attributed to data as a critical organizational asset and competitive advantage.- Priority areas include Data Policy, External Data exploration, Consumer data, Shopper data, Media and Market Share and extends to include all other data sets relevant for Customer development.- Consult on data components of projects with country / cluster wide impact; establishing data as a product, data as an enabler, then data as a service (and maybe eventually data as a business).- Facilitate data integration and data exploration across internal or external data sets that are relevant for market- Ensure quality of data by performing quality checks on processed data, find ways to improve data quality and work process so that we can provide accurate and timely data to clients- Masterfully executes and collaborates with stakeholders and users to drive cultural shift around data within the organisationProfile- Bachelors degree in computer science, statistics, mathematics, data modelling, economics, finance, business administration or similar technical background- Proficiency in one or more programming languages- eg. SQL, Python or R, but ability and willingness to learn is essential- Minimum 5+ years in demonstrable enterprise value realization from data and business intelligence- Experience with data modeling, data analysis and visualization techniques- Familiarity with statistical and machine learning methods- Ability to manage multiple requests and priorities simultaneously in a highly VUCA environment - Ability to communicate analytic and data science solutions in an actionable manner to business managersKey Skills RequiredProfessional Skills - Well verse with SQL- Data lifecycle management - Fully Operational- Analytical power and actionable insights generation - Fully Operational- Business Intelligence Platform - Fully Operational- Data Visualisation - Fully OperationalGeneral Skills - Strong Communication and influencing skills - Working knowledge- Client Management - Fully Operational- Project Management - Working Knowledge- Effective Team Management - Basic appreciationJob 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.Page Group India is acting as an Employment Agency in relation to this vacancy.The Apply Button will redirect you to website. Please apply there as well.,

Keyskills :
environmentmusic makingsouth asiaeffective team managementconsumer goodsdata as a servicedata scienceteam managementetlinformaticasqldata analysismarket sharedatastagedata modeling