Вакансия Data Analyst

KPMG International is a global network of professional firms providing Audit, Tax and Advisory services. We operate in 155 countries and have over 189,000 people working in member firms around the world.
KPMG Ukraine is looking for Data Analyst.
This position is part of Product Development Center — business-unit working with external and internal clients.

Key requirements:

• 1+ year of working experience in data management, data analytics, quantitative analytics, or related field with proven quantitative orientation;
• Working knowledge of large data manipulation and data mining using SQL;
• Knowledge of Transact-SQL
• Experience with marketing automation and CRM systems;
• Experience with predictive modeling, machine-learning models;
• Ability to access data from SQL Server, Oracle, or and perform independent research into data problems, analyzing the data, determining root cause, and proposing solutions;
• Self-motivated, dedicated and willing to go extra mile.

Will be an advantage:

• Experience with SQL Server Reporting Services, Power BI;
• Degree in quantitative finance, financial engineering, computer science, economics, accounting, or business administration or other related fields;
• Intermediate English;

Advantages of work in the international company KPMG:

• Official employment, competitive salary, medical insurance, discount programs, and corporate events;
• Modern technological stack. Use of the most advanced technologies available, including those available through global agreement between KPMG and Microsoft;
• Active participation of every specialist in the development of real business projects, regardless of position and professional experience;
• Effective programs for professional development of each employee (trainings, seminars, and conferences).

Key responsibilities and accountabilities:

• Manage concurrent projects in a fast paced environment;
• Deliver in depth analysis on business performance (trends, funnels) and drivers, as well as forecasts and targets;
• Gather, extract, manipulate, analyze and model data using analytical and statistical tools;
• Ensure data accuracy and create ad hoc reports.