Page Group - Assistant Manager - Data & Analytics

Job Type - Permanent

Job Description - Works with the business analyst to fully understand the business problem and how to deliver relevant insights that lead to actions.Gathers, analyses, and model's data to solve complex business problems and evaluate scenarios to make predictions on potential future outcomes.Fast paced agile experimentation across a range of business areas.

Client Details :

Page 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 world's 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, Hellmann's, Lipton, Wall's, PG Tips, Ben & Jerry's, 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 & ANALYTICS :

- Data & 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 company's 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 tomorrow's 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 Unilever's purpose: to make sustainable living common place.

Description :

- Build data-science and algorithmic solutions to address business problems requiring diagnostic, predictive, and / or prescriptive analytics

- Drive new value from insights from connecting external (Retailer, Econometric, Panel etc) and internal data sources

- Innovate new data and analytic methodologies driven by local needs which feed into I&A's global product pipeline

- The position will be primarily an individual contributor role working closely with the business interpreter and CCBT, CD, Supply Chain and other market teams.

- Guide team on continuous improvement which will includes improved ways of working

- Build analytic models and iterate to help demonstrate the business case to scale the solution.

- Incorporate design thinking elements in building and developing solutions

- Act as the go to expert on building diagnostic and predictive models through classical modelling and Machine Learning.

- Able to scale and industrialize the solution on cloud-based platforms

Profile :

- B.E. / MTech or M.S. in a relevant technical field (Operations Research, Computer Science, Statistics, Business Analytics, Econometrics, or Mathematics). Experience of 4-7 years preferred.

- Strong track record in solving analytical problems using quantitative and statistical approaches

- Expert knowledge in Regression, Clustering, Random Forrest, Decision Trees, Optimization, Time Series, Probability, and other related advanced methodologies. Experience in applying Neural Networks would be a plus

- Experience in designing and industrializing Analytical solutions

- Expert knowledge of an analytics tool such as R, Python & Spark

- Experience in communicating with clients and requirement gathering

- Ability to manipulate and analyse complex, high-volume, high-dimensionality data from varying sources (Nielsen, SAP, Retailer ePOS; both structured and non-structured data)

- Expert in working with cloud-based platforms like Azure, AWS and big data knowledge

- Excellent communication, active listening and presentation skills and ability to communicate effectively with all levels in the organisation

- Passion for delivering service excellence; and developing a culture of "easy to do business with", where customer's needs are anticipated

- Highly analytical mind-set with strong ability to identify, troubleshoot, problem solve and resolve issues. Passion for simplification and continuous improvement

- Strong interpersonal skills with the ability to collaborate with team members to understand and develop technology solutions for business needs

- Organised, strong time management skills and ability to prioritise multiple tasks in order to meet established deadlines

- Team-player who is a proactive self-starter, with the ability to work independently

- Strong ethical standards regarding the handling of confidential personal information

- Ability to work quickly and accurately, especially under pressure; and within a cross-culture and global environment

- Ability to work with a broad, virtual team

- Proficiency in MS Office Suite and SQL desirable.

- Analytically minded with good numerical ability and logical reasoning

- Proficient in using R, Python or any other data mining tools.

- Knowledge and experience in Hadoop (map reduce paradigm) etc.

Job Offer :

Rewards 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. We're committed to building an inclusive culture where everyone working at Unilever feels able to bring their complete and authentic self to work.

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Sanya Seth on +91 22 4236 3203

Contact - Sanya Seth - +91 22 4236 3203

The Apply Button will redirect you to website. Please apply there as well.