Data & BI Analyst I - Internal Audit bei Edward Jones

• Maintain a working knowledge of division results & key divisional business drivers, as well as an understanding of key strategies & priorities of their division, to be able to apply business knowledge to analytic approach to address business questions.

• Build and maintain a working knowledge of data sets available to the analyst.
• Extract, cleanse and transform data to support the needs of the analysis.
• Apply critical thinking to pressure test and validate logic and outputs against known sources and understanding of business.

• Define business and data requirements for analytic deliverables and serve as liaison with IDM process.

• Understand and apply basic descriptive statistical concepts.
• Provide actionable insights to support business decisions, primarily by performing root cause, exploratory, sensitivity and scenario analysis, economic modeling and data visualization to identify patterns/trends/insights etc. on predefined problems.

• Generate and incorporate insights into a cohesive story that clearly addresses business questions.
• Effectively communicate tailored messages regarding analytic ideas, approach, key takeaways and actionable insights.
• Ability to communicate technical information to non-technical audiences.

• Develop and manage business relationships with project team members and leaders across the organization.
• Consult business owners to understand the business problem. Collaborate with others to identify the appropriate analytic approach to solve the problem.
• Support KPI and benchmark development.

• Document, monitor, and proactively recommend improvements to processes and controls related to areas of responsibility.

• Interact with BI Tools to answer questions, build basic visualizations and reports.
• Ability to test and maintain BI products developed and follow BI governance process and procedures.

Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law.

• Bachelor's Degree with an emphasis in business, economics, math, engineering, or analytics preferred (or relevant work experience).
• 1-3 years experience in relevant field.
• Previous financial services industry experience with data is preferred.
• Coursework or background in: Finance, Economics, Business Administration, Accounting, or Information Systems preferred.
• CFA, FRM/PRM, CIA, CPA, CFE, CISA, CISM, or CISSP preferred.

• Tableau
• SQL
• R
• Python

• AuditBoard

• Maintain an excellent understanding of division results & key business drivers, as well as an understanding of key strategies & priorities of business, to be able to apply business knowledge to analytic approach to address business questions.
• Drive measurement and improvement strategies by connecting business activity to outcomes that will help achieve stated goals.
• Applies general knowledge of business developed through education or past experience.
• Understands key business drivers; uses this understanding to accomplish own work.

• Perform ad hoc/develop automated analytic routines to support audit testing; document and contribute to audit work papers (including analytic procedures / results and audit issue writeups) to support audit findings.
• Identify opportunities to produce/contribute to dashboards that leverage business data to help the department continuously monitor and audit for key risks to the organization.
• Assist with tracking results of prior audits, identifying audit themes across organizations and establishing if appropriate corrective action has been taken regarding significant audit concerns
• Build and maintain relationships with business partners at the manager and staff levels, providing advice and sharing Internal Audit knowledge with business partners to enhance governance, risk, and control environments, as appropriate.
• Provide informal, day-to-day coaching and guidance to other Internal Auditors in the department, sharing your knowledge to help build data literacy and ability across Internal Audit.