北京招聘

Responsibilities:

You will work under Valuation and Business Modelling team, Data Analytics unit, lead by a 10+ year IT and data mining expert to conduct data analytics and due diligence in transactions (i.e. M&A)

You will mainly

• Capture, consolidate, transform and analyze massive volume of data from structured data (e.g. finance system etc.) and unstructured data to support data analytics during due diligence and valuation work;

• Work with databases, analytical tools - such as SQL Server, SAS, SPSS, and R, to analyze data in support of due diligence and valuation work.

• Use data visualization tools (e.g. Tableau, Spotfire etc.) to identify of key issues and opportunities in due diligence and valuation work;

• Communicate with internal project team and/or target management to better understand client’s business, support the conclusions of data analysis and deliver customized advice to client;

• Work closely with financial diligence, tax diligence and commercial diligence teams to identify deal issues and advise solutions; and

• Draft analytics reports and/or prepare key summary section in combined report.

You will also from time to time

• Assist in internal database and tools designing, implementing and coaching to help core VBM team in AI, work automation, digitalization etc.

• Assist in developing gadget or tools to fulfill client’s special needs during transaction.

Requirements:

• University graduates majored in Computer Science, or Math, or Engineering, or related fields with a minimum of 3 year relevant experience;

• Knowledge in data analytics and data visualization platforms, e.g. Tableau, Spotfire, PowerBI, SmartBI, etc.;

• Knowledge in programming languages e.g. R, Python, C++ etc.;

• Knowledge in database computer languages e.g. SQL, Server, Oracle, SPSS Clementine, etc.;

• Creative thinking with strong execution ability;

• Excellence in communication and client facing; and

• Good command of spoken and written English and Chinese.

Below skills will be strong plus:

• Knowledge of Hadoop ecosystem, including HDFS, MapReduce, YARN, HBase (or MongoDB, Cassandra etc.); and

• Knowledge of .net, jquery, javascript, AJAX, Html5.

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