Data Analytics Senior Analyst

This role represents a critical component to our growth strategy and is where much of the innovative early thinking takes place on fraud detection and other data driven risk analytics projects

Responsibilities:

• You will have an opportunity to apply your expertise in an innovative way and be part of our exciting growing team
• You will collect requirements and design advanced analytics ranging from descriptive to predictive models, machine learning techniques and further AI and RPA
• You will function as a subject matter expert in our global audit projects reviewing areas where advanced analytics, machine learning, AI and RPA are utilized
• You will monitor incoming data analytics request, execution of analytics as requested, and distribution of the results in an efficient and effective manner
• Plan and moderate the periodic data analytics champions meetings and communicate required information with the team
• Develop, implement, support, and maintain data analytics protocols, standards, and documentation
• As part of the analytics services, analyze complex data, identify anomalies, trends, risks, and provide useable insight to improve internal controls.
• Prepare documentation and analytic dashboards/reports that effectiely and efficiently provide summarized results, analysis, conclusions to stakeholders, with supporting details readily available.
• Address ad-hoc analytics requests and facilitate needed data acquisition, as needed, to support internal projects, special projects, and investigations.
• Contribute to internal activities for overall process improvement, efficiencies, and innovation
• Communicate the data requirements and ensure the global team receives access to the source information needed, understanding of the data relationships to the business processes.
• Assist global teams with the use of inquiry of key systems to facilitate understanding of data in the business process.
• Participate in department technology leadership work streams on support, knowledge management processes and use of tools.
• Prepare written summaries to accompany results and maintain documentation
• Able to understand business requirement and communicate effectively with business stakeholders
• Clearly explain what the data and results indicates and how it can be utilized to support the project objectives

Requirements:

• 3-5 years of data analytics experience with a professional services firm, business facing teams finance/internal audit/analytics group, or similar environment.
• Professional Education: BA or BS in management information systems, computer science, finance, business, operations management, statistics, engineering, or related field required
• Fluent English
• Excellent verbal and written communication skills
• Experience in gathering, cleaning and analyzing large sets of data
• Significant experience in analytics software languages (R, Python or others)
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced analytics, statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Exposure to database concept to help acquire, query, and maintain the data environment (MS SQL or others)
• Experience with distributed data/computing tools:  Hadoop, Hive, Spark, MySQL, etc.
• Sound knowledge of data management and data privacy concepts
• Exposure to cloud ERP systems such as Workday Finance is a plus
• ETL and exposure to multiple cloud and hybrid application connection methodologies is a plus
• Statistical computing package e.g. SAS, SPSS and others is a plus

We offer:

• The best medical cover on the market with free dental care
• Generous benefits package for your wellbeing (multisport cards, insurance, vouchers, and many more!)
• Stability of employment and permanent contract after trial period
• Brand new office supporting collaboration, flexibility and activity based working
• Internal career opportunities and individual development plan
• Unique workplace culture - we value openness, honesty and authenticity, so don’t expect formal dress code nor managers hidden behind closed doors
• Lots of social events, charity actions and opportunities to integrate with colleagues