IT Analytics & Insights Manager

Description

• We are looking for passionate and self-driven individuals to join Analytics & Insights team at P&G. You will be encouraged to be a business leader; thus, you need to be an effective communicator, self-motivated, and able to convert insights into actions that improve P&G’s business results
• As an Analytics & Insights Manager you will be a part of an award-winning global Analytics & Insights community that operates across all corporate disciplines. You will partner with leading-edge data, systems and analytics companies globally including KNIME, SAS, TIBCO, Data Bricks, Microsoft, Cisco, Fractal, and many others

Responsibilities

• Derive meaningful insights from terabytes of data, translate sophisticated outputs or algorithms into simple conclusions that will empower others to take actions and win with consumers
• Transform data using power of predictive analysis into business cases anticipating what will happen, not just reflecting on the past
• Deliver insights across several business functions (Marketing and Sales) with a combination of modelling/analytical skills, big data management and business acumen
• Anticipate and tackle business issues to transform the way P&G does business
• Improve data visualization and analytics tools to extract high value insights from mountains of data

Compensation & Benefits

• Competitive base salary
• Medical, travel, and life insurance
• Monthly lunch & flexibility allowance
• Flexible work hours and possibility to work from home
• Possibility of enrollment in P&G International Stock Ownership Plan
• Relocation support in case you move to Moscow from another region

Qualifications

• Any higher education degree
• Strong English skills (Upper-Intermediate or higher)
• Minimum 2 years of experience in Data Analytics
• Passion to learn speaking “business language”: our best analysts have both technical skills and business acumen
• Ability to balance multiple priorities
• Willingness to learn new tools/programming languages quickly
• Expertise in the following areas will be a competitive advantage but not required:
• Programming: SQL, R or Python
• Big Data ecosystems: Hadoop, Data Bricks, Spark, MapReduce, Hive
• Data Visualization tools: Tableau, Spotfire, PowerBI
• Data transformation tools: Alteryx, KNIME, RapidMiner