Hindustan Unilever Looking for Business Analytics Manager at Gulf Full Time

Job title: Business Analytics Manager

Location: Dubai, UAE

With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people – we believe that when our people work with purpose, we will create a better business and a better world.

At Unilever, your career will be a unique journey, grounded in our inclusive, collaborative, and flexible working environment. We don’t believe in the one size fits all approach and instead we will equip you with the tools you need to shape your own future.

TEAM’S RESPONSIBILITIES:

This team is responsible for managing the market’s demand for data, analytics and insights. It will lead data analytics, data warehousing, research development and implementation of appropriate data systems and analytic solutions. It is also responsible for streamlining in-scope processes related to data analytics and insights generation in the market, through automating, consolidating and eliminating them where appropriate to deliver a seamless, fast insights-generation experience using tooling provided by the Global D&A team.

MAIN JOB PURPOSE:

• Act as a catalyst enabling data/analytics-driven business decisions across the organization.

• Serve as the trusted data and analytics consultant to different functions across the organization.

• Engage with stakeholders to understand the business, problem statement and requirements.

• Analyze and re-engineer existing business and insights-related processes for efficiency.

• Engage with relevant teams within D&A to source, manage data requirements for analytics and management reporting.

• Create analytical modelling solutions to answer business questions.

• Work closely with the data science team to build diagnostic & predictive models to solve business problems.

• Leverage different statistical techniques to create insights for the business.

• Create self-service and simple reporting solutions.

• Acquire, integrate, stage & employdata from multiple data sources.

• Cleanse data by reviewing data sources to locate and correct code problems.

KEY REQUIREMENTS:

ESSENTIAL

• Bachelor or master’s degree in engineering, statistics, econometrics or Mathematics.

• Balanced profile of business knowledge/understanding and analytical savvy.

• At least 10 years of experience in:

  • Driving insights from large scale structured and unstructured data.

  • Data Mining, Exploratory data analysis, and modelling.

  • Business process analysis.

  • Working with Power Pivot, Power Query and Power BI.

  • Extracting and dealing with data from multiple data sources (e.g. financial systems, Marketing databases, etc.).

• Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.

• Ability to see patterns across data.

• Ability to engage in formulating novel and compelling insights and engage in storytelling from data insights.

• Continuous learning of new tools & computer languages via external sources that brings direct value to the business.

• Clearly articulate technical work to non-technical business owners.

• Critical thinking & flexibility to effectively work around technical & business constraints.

• Experience in Project management as lead and team member.

• Ability to handle or work across multiple projects at any time.

• Self-directed.

• Ability to work independently as well as in a team environment.

PREFERRED

• Process design experience.

• Process engineering experience.

KEY CAPABILITIES:

• Business analytics.

• Data analytics.

• Data expertise.

• Data visualisation.

• Microsoft Power BI.

• Project management.

• Agile Delivery.

• Dashboard and report design and deployment.

• Metrics development and calculation.

Unilever is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future, every day, for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. At Unilever we are interested in every individual bringing their Whole Self to work and this includes you! Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey.