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Internal Audit Data Analytics Manager
in Boston, MA.
As the Internal Audit Data Analytics Manager, you will be a key player in elevating the level of Internal Control across the entire region. You will interact with all facets and levels of business in North and South America, network with many functional experts, global process owners and be exposed to the Global Internal Audit team members around the world. The Schneider Electric Internal Control framework encompasses all areas of the business including but not limited to: Sales & Marketing, Manufacturing, Logistics, Purchasing, HR, Pricing, Solutions (Projects), Field Services as well as the traditional Finance and Accounting Operations.
What will you do?
Query and leverage data sources such as ERPs, SAP, Concur, etc. within Schneider Electric
Assess the level of internal control within Schneider Electric
Identify areas where the performance can be improved
Optimize and improve auditors sampling methods
Measure how operational risks are monitored and mitigated
Leverage Group tools & databases to deliver analytical insights on compliance or business risks Back-office analytical work
Drive project on data extraction to ensure smooth access to all relevant internal systems
Maintain & improve scripts to ensure their reliability & effectiveness
Understand business processes, the IT environment / landscape, how SE entities are using it, as well as business impacts of system configurations
Measure vulnerabilities in Group systems to mitigate fraud risks or potential capital losses
Ensure understanding of analyses by audit / control teams
Train teams and auditees to allow autonomous access to standard analyses
Suggest additional analytics in various domains (finance, purchasing, HR, Sales & Marketing, Pricing, Logistics, etc) to be included in missions
Suggest innovative visualizations of results
When supporting an audit
Execute data extraction scripts
Consolidate results & propose impactful visualizations
Conduct interviews and perform additional tests to validate working assumptions & ensure analytical reliability
Liaise with audit/control team on a daily basis to ensure analytics are fully leveraged
For this U.S. based position, the expected compensation range is $142,400 - $213,600 per year, which includes base pay and short-term incentive.
Schneider Electric also offers a comprehensive benefits package to support our employees, inclusive of medical (with member reward points), dental, vision, and basic life insurance, Benefit Bucks (credits to apply towards your benefits) flexible work arrangements, paid family leaves, 401(k) + match, well-being and recognition (including service anniversary) programs, 12 holidays per year, 15 days of paid time off per year (pro-rated in the first year of employment based on start date), opportunity to purchase company stock (eligibility depends on start date), and military leave benefits.
What qualifications will make you successful for this role?
10+ years of relevant experience in Data Science
Bachelor’s or master’s degree in computer science or Data Science
Proven experience in data analytics, auditing, and risk management
Strong proficiency in data analysis tools and programming languages such as SQL, Oracle Database, Python, R, and data visualization and dashboarding, ACL, Machine learning, Scripting and statistics languages (Python, etc.) and Tableau
Technical competencies required
ACL
SQL
Oracle database
S4/HANA
Alteryx
Data visualization and dashboarding
Machine learning
Scripting and statistics languages (Python, etc.)
Tableau
What skills and capabilities will make you successful?
Strong communication, leadership, and project management skills.
Ability to work effectively in a collaborative team environment and adapt to changing priorities.
Equal Opportunity Statement Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status or any other legally protected characteristic or conduct.
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Sprachkenntnisse
- English
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