Data Analyst

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Job Description

НАЙМ В ООО «ПРОКТЕР ЭНД ГЭМБЛ ДИСТРИБЬЮТОРСКАЯ КОМПАНИЯ»

Would you like to harness the power of data through breakthrough analytics, business consulting and implementing new capabilities to drive business results? Are you an intellectually curious individual who is passionate about uncovering human needs and desires? Are you able to discover the story in all the noise and identify what really matters? Then, Data Analyst role at P&G is for you!

Business Analytics is a cutting-edge capability that is developing quickly at P&G Eastern Europe. This role allows you to be part of crafting the future of advanced analytics use case development at a leading FMCG company. You will run your own projects that may include business performance analysis with support and coaching from your manage, revenue growth management modelling, data-enabled 1on1 consumer analytics and many others. We will provide you with the opportunity to connect with and learn from numerous colleagues in various departments. The role will give you a great understanding of P&G's corporate culture, while developing your skills to be a future business leader.

Responsibilities:

• Establish and improve analytical programs and present the results of your business unit/category/region to leaders.

• Analyze the variable, granular data of your business and regularly use sophisticated models to deliver business insights across diverse business domains.

• Understand and define business needs in analytics for your respective business domains so you will anticipate the business process requirements and enable it with accurate data and analytical tools delivering insights and further measurable results.

• Demonstrate use of data visualization (Power BI, Excel), and analytic tools (Python, R, SQL, KNIME/Alteryx) to grasp the business insights from our data lakes.

• Collaborate with multifunctional teams (Marketing, Finance, IT, Sales) to improve key business priorities based on your data-driven insights.

Job Qualifications

• 2+ years of relevant experience

• Any higher education degree

• With degree in Statistics, Mathematics, Applied Informatics, Data Science, Business Management or similar areas is a plus

• Good command of English (Upper-Intermediate or higher)

• scientific or statistical computing (Python, R), SQL and Big Data ecosystem (Hadoop, Azure) or willingness to learn, business intelligence tools (KNIME, Power BI, Tableau, Spotfire) as must

• developing machine learning predictive models is a plus

• great leadership, ability to work independently and as a team player

• excellent interpersonal skills and can-do attitude

• ready for a full-time work schedule (40 hours per week).

Compensation & Benefits

• Competitive base salary from 200 000 gross, the final offer will be determined based on the results of the interviews

• Monthly lunch & flexibility allowance (5 000 RUB gross)

• Medical, travel, and life insurance

• Flexible work hours and possibility to work from home

• Access to P&G’s global comprehensive training portfolio

• Relocation support in case you move to Moscow from another region

Just So You Know

• We are an equal opportunity employer and value diversity at our company. At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, disability status, age, marital status, citizenship, HIV/AIDS status, or any other legally protected factor.

• No immigration sponsorship is available for this position.

P&G is a leading global consumer goods company whose winning brands are built around the model of innovation. Whatever your passion is, we want to ignite your potential to become your very best self. We hold true to our purpose, values, and principles as we seek to make a difference in the world around us. You will engage in meaningful work that will touch the lives of others and have a real impact. Everything at P&G starts with understanding – understanding our consumers and our employees as we innovate to improve lives now and for generations to come.

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