At Edward Jones, we help clients achieve their serious, long-term financial goals by understanding their needs and implementing tailored solutions. To ensure a personal client experience, we have located our 15,000+ branch offices where our more than 7 million clients live and work.
In a typical branch office, a financial advisor meets with clients and receives branch office support, so they can focus on building deep relationships with clients. Headquarters associates in St. Louis, Tempe and Mississauga provide support and expertise to help U.S. and Canada branch teams deliver an ideal client experience. We continue to grow to meet the needs of long-term individual investors.
Senior Data Analytics Analyst
Analytics Center of Excellence
The Analytics Center of Excellence is responsible for providing critical capabilities of the enterprise analytic community.
Partner with HR and analytic teams to develop data literacy curriculum and training to advance analytics across the enterprise.
Partner with HR and analytics teams to build community feedback processes to enhance data literacy and analytics curriculum and training programs.
Partner with HR and analytics teams to build communication channels to share data literacy concepts, standards, and best practices.
Partner with HR and analytic teams to attract, select, develop and retain data and analytic talent across the enterprise.
Develop business relationships and partnerships with cross-functional targeted business owners and senior leaders across the organization.
Document, monitor, and proactively recommend improvement to processes and controls related to area responsibilities while quantifying the impact of changes for leaders.
Collaborate with cross-functional teams responsible for implementing projects in support of divisional and firm-wide business objectives; occasionally lead cross-functional teams responsible for divisional objectives while following an analytics development lifecycle
Identify, extract, clean, transform, validate and model data across multiple domains using various technologies and languages (SQL, Hive, Pig, etc)
Utilize new and advanced methods to extract, transform and load data
Build requirements for, develop and enhance automated processes that provide functional areas with data and information
Analyze the effectiveness of programs, summarize and present data to enhance future efforts using appropriate statistical methods.
Educate other team members, associates and leaders across the firm on data and statistical concepts and best practices
Communicate across a wide range of audiences with specialized subject matter expertise including Compliance, Marketing, Products, Branch Development, and Technology divisions.
Utilize a strong understanding of the Edward Jones solutions-based approach to investing that includes client needs, client goals, and tailored solutions
Train and mentor lower level analysts to follow appropriate procedures and understand the best practices for interacting with the information system
Undergraduate degree required, preferably in the areas of mathematics, finance, business, engineering or information systems. Advanced degree is a plus.
5 years business experience in marketing, finance, data analytics, or information systems fields preferred
Experience leading communities of practice, trainee delivery and or adult learning preferred.
Ability to prioritize and execute on multiple tasks/projects and adjust to changing priorities with minimal leadership required
Ability to extract and analyze large amounts of data using various tools
Moderate analysis skills, primarily investigating and explaining trends and variances using statistical techniques required
Works effectively both independently and in a team environment required
Ability to effectively communicate with associates and leadership in cross-functional settings using verbal, written and presentation skills required
Moderate understanding of the firm and how data impacts decision making in each functional area supported required
Ability to execute pre-existing project plans and possesses basic project management skill.
Strong analytical, critical, and systems thinking required
Technical proficiency preferred in the following:
An advanced ability to interact with various database and file storage systems (DB2, IDMS, Oracle, Hadoop, NoSQL)
Data manipulation languages such as SQL, Hive, Pig, XML
Statistical tools such as SAS, SPSS, R, or Jump
Microsoft Excel - experience using pivot tables, formulas, macros, vba, charts/graphs
Business Intelligence such as Hyperion, OBIEE, or IBI WebFOCUS, Sharepoint
Visualization tools such as Tableau, Qlikview, or birst