Работа в Москве, вакансия - Data Analytics Manager / Аналитик данных • Москва - id455 (вакансия в архиве)

Do you love diving into data? Would you enjoy telling consumer-based stories and helping others see the benefit of data-based decision-making? If so, this opportunity is the one you have been looking for!

Procter & Gamble’s Data Analytics Managers influence business strategy, pricing decisions, retail and supply chain designs, media investments, and more. We use our boundless curiosity to discover what consumers want, why they want it, and how we can influence them through immersive exploration, in-depth analysis, and advanced modeling.

You’ll mine and integrate multiple data sources, derive significant insights, and translate sophisticated machine learning or econometric models into simple conclusions that empower us to win with consumers. You’ll be a primary driver of insights impacting key business decision-making.

Responsibilities

• Lead and improve analytical programs and present the results of your business unit/category/region to top management

• Analyze variable and granular data of your business and apply advanced models to deliver insights across diverse business domains

• Anticipate and address critical business questions/opportunities and deliver insights to the business in ways that make a significant impact

• Apply data visualization skills (Tableau, Power BI, Excel) and analytics tools (Python, R, SQL, KNIME/Alteryx) to grasp insights from our big data

• Collaborate with a multi-functional team (Marketing, Finance, Sales, etc.) to improve key business priorities based on your data-driven insights

Compensation & Benefits

• Competitive base salary and annual bonus

• Monthly lunch and flexibility allowance 5 000 RUB gross

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

• Medical, travel, and life insurance

• Corporate discounts (privilege program PrimeZone)

• Sick and parental leaves paid up to your full salary

• Flexible work hours and the possibility to work from home (hybrid WFH/WFO format)

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

Job Qualifications

• Bachelor' s or Master' s degree in a quantitative field (Operations Research, Computer Science, Engineering, Applied Math, Statistics, Physics, Analytics, etc.) or equivalent work experience

• Experience using analytics techniques (AI/Machine Learning, Econometrics, Operations Research, Statistics, Root Cause Diagnostics) to tackle business problems

• Ability to demonstrate and translate sophisticated data into simple conclusions and practical business actions

• Strong interpersonal including influencing skills to partner with different levels of stakeholders

• Data management and visualization skills, including experience with any of the following tools: Databricks, SQL, KNIME, Tableau, Power BI, JMP/SPSS (or similar)

• Proficiency in Python/R or demonstrated technical aptitude and willingness to learn

• Ability to apply a consultative mindset, while being data-savvy and passionate about discovering new ways of doing things

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

Just So You Know

• All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, age, sexual orientation, gender identity and expression, 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.