Executive, Group Corporate Assurance (Data Analytics) at Simedarby

Data Extraction & ETL : Assist in extracting data from various systems and local databases; perform data cleaning and mapping to ensure consistency across the Group.
Audit Support : Collaborate with field auditors during the planning phase to identify high-risk areas using exploratory data analysis.
Statistical Outlier Analysis : Apply statistical techniques to identify instances that deviate significantly from the historical norms or benchmarks.
Joint Reporting : Partner with Lead Auditors to create "Data Stories"-using visualizations to help the operational team explain complex findings to Management
Communication : Present analytical findings to the internal audit team, helping them understand what the data suggests about the subsidiary's control environment.
Education & Experience
Education: Bachelor's degree in Statistics, Data Science, Finance, Accounting, or Information Systems.
Experience: 0-2 years of experience. A background in Audit Analytics, Data Science or Business Intelligence is a strong plus.
Candidates possessing one or more of the following will be highly regarded:
Data Visualization: Microsoft Certified: Power BI Data Analyst Associate (PL-300) or equivalent Tableau Desktop Specialist.
Programming: PCEP (Certified Entry-Level Python Programmer) or evidence of Python/R proficiency through a portfolio.
Cloud Infrastructure: Microsoft Azure Data Fundamentals (DP-900) or Azure Fundamentals (AZ-900).
Technical Skills
SQL Proficiency: Ability to join complex tables and clean data from disparate data sources.
Visualization: Skill in Power BI or Tableau-specifically creating "Exploratory Dashboards" that allow auditors to drill down into data and uncover trends and patterns.
Excel Mastery: Advanced formulas and Power Query for quick data manipulation in the field.
Python for Data Science: Proficiency in Pandas, NumPy, and Matplotlib/Seaborn for data cleaning, merging disparate subsidiary datasets, and performing statistical anomaly detection.
Soft Skills
The "Detective" Mindset: A natural curiosity to find the irregularities in a sea of data.
Active Listening: The ability to listen to an auditor's manual process and visualize a way to automate it.
Agility: Comfortable working in a fast-paced audit environment where priorities can shift based on what the operational team finds on the ground.
Clear Communication: The ability to explain technical data results to a wide range of technical and non-technical audiences.

Executive, Group Corporate Assurance (Data Analytics)

About the role

Responsibilities

Additional Information

Your Match

Company Intel

What employees say

Interested in this role?