Audit Analytics & Data Delivery Consultant

EY; Zürich; Vor Ort; CHF 80.000 - 120.000; Vollzeit

Zusammenfassung

EY in Zürich is looking for candidates to join their Audit Analytics & Data Delivery team. The role involves analyzing large datasets, developing forensic tools, and working closely with various stakeholders including clients and regulatory authorities. Ideal candidates will hold relevant degrees and possess strong SQL skills along with excellent communication abilities in both English and German. Experience with data visualization and automation tools is a plus.

Qualifikationen

• Strong interpersonal skills and an adaptable, consulting-oriented mindset.
• Experience in processing and analyzing large datasets.

Aufgaben

• Engage in data analysis of both structured and unstructured data.
• Support development of Audit & Forensics tools and solutions.
• Collaborate with clients, fraud investigators, and auditors.

Kenntnisse

SQL

Data analysis

Problem solving

Excellent communication in English and German

Ausbildung

Bachelor or Master degree in Computer Science, Accounting or Economics

Tools

Power BI

Blue Prism

Alteryx

Python

R

Jobbeschreibung

In a world that’s changing faster than ever, our purpose acts as our ‘North Star’ guiding our more than 300,000 people – providing the context and meaning for the work we do every day. In doing so, we play a critical role in building a better working world for our people, clients and communities. Thanks to our innovative services in auditing, tax consulting as well as transaction and management consulting, we proudly drive our clients into the future. As the only one of the Big 4 with a specialist cross‑border practice dedicated to the Financial Services Sector, we offer our clients seamless, consistent and high‑quality services around the globe. The rapidly growing Audit Analytics & Data Delivery team within the Forensics department is currently seeking suitable candidates for an excellent career opportunity. This team represents a critical component in EY’s Forensics growth strategy and is where most of the innovative early thinking in Audit Analytics takes place. The team is a global group of technical specialists that practice the full life cycle of data management from the early stages of data scoping and capture, to its management, analysis and reporting. The nature of our work typically requires working with large datasets from disparate data sources to support audit and/or fraud investigations and dispute services for our clients covering a range of industries.

What you can expect – enriching experiences that will last a lifetime

• Working on client engagement teams in carrying out both reactive and proactive data analysis of large volumes of structured and unstructured data involving a wide range of database management systems and financial platforms
• Supporting the development of new Audit & Forensics tools and solutions, by understanding the state‑of‑the‑art methods, customizing them to the Audit & Forensics needs, and making them ready for production
• Working with clients, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive and sometimes adversarial situations
• Working in our specialized forensic technology labs and onsite, to help clients leverage knowledge from their data through the application of advanced analytics

What you can contribute – skills for shaping the future

Must have:

• Degree (Bachelor or Master) in all fields related to Computer Science or accounting or economics.
• Experience with SQL or similar database query languages.
• Experience in collecting, processing and analyzing large volumes of unstructured and structured data
• Strong problem solving, analytical, technical, and interpersonal skills as well as a consulting‑oriented mindset, flexibility and “can‑do” approach
• Excellent written and verbal communication skills in English and German

Advantageous to have:

• Practical experience in data visualization tools such as Power BI, Spotfire or Tableau
• Practical experience in automation tools such as Blue Prism, Alteryx or Microsoft Power Automate
• Skills in Python, R, Ruby scripting or other programming languages
• Solid knowledge of IT environments, networking, server architecture and IT security
• Knowledge of machine learning techniques such as (un)supervised clustering, SVMs, or deep learning is a plus
• Practical experience in a similar type of work
• Knowledge in blockchains and related technologies.