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 14,000+ branch offices where our more than 7 million clients live and work.

A typical branch office has one financial advisor who meets with clients face-to-face and one branch office administrator who enhances the team's ability to build deep relationships with clients. Headquarters associates in St. Louis and Tempe provide support and expertise to help U.S. and Canada branch teams deliver an ideal client experience. Edward Jones currently has more branch offices than any other financial services firm, and we continue to grow to meet the needs of long-term individual investors.

Data Analytics Analyst 

Analytics Center of Excellence 

 

The Analytics Center of Excellence is responsible for providing critical capabilities of the enterprise analytic community.  

Key Responsibilities: 

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  Develop and mangage process that measure the adoption and adherence to the firms Analytic & Reporting Governance Program 

  
  


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  Create and develop dashboards, reports, visualizations in support of firm initiatives and programs.  Document business requirements and create data requirements. Build data sets necessary for the reports 

  
  

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  Analysis that facilitates the transformation of raw and/or summarized data into information and insights.  Includes intermediate data modeling, forecasting, statistical analysis and financial modeling. 

  
  


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  Document, monitor, and proactively recommend improvement to processes and controls related to area responsibilities; quantify business and financial impact for leaders. 

  
  


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  Develop and manage business relationships and partnerships with targeted business owners and finance associates. 

  
  


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  Inform and educate other business areas as to the impact of decision; deliver original insights on opportunities for enhancing Firm performance. 

  
  


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  Identify and recommend enhancements to divisional reporting and key measures 

  
  

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  Assist with the implementation of projects requiring cross-functional teams to achieve the division and firm's overall business objectives.  Independently organize, plan & prioritize individual effort needed to ensure overall success. 

  
  


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  Educate Team members & business owners across the firm on analytical concepts and best practices 

  
  


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  Takes constructive action with direction from others while leader reviews non-routine outputs 

  
  


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  Serve and a technical and functional Data subject matter expert 

  
  


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  Transform, re-engineer, and extract data in relational and MPP (Hadoop) data bases using appropriate tools including SQL, PLSQL, Hive, Impala, Spark and PIG. 

  
  

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  Build requirements for, develop and enhance automated processes that provide functional areas with data and information 

  
  

Position Qualifications: 

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  Undergraduate degree required, preferably in the areas of mathematics, finance, business, engineering or information systems. Advanced degree is a plus. 

  
  


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  Prior experience in a control, risk management or audit function preferred.         

  
  


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  Ability to prioritize and execute on multiple tasks/projects and adjust to changing priorities with minimal leader required 

  
  

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  Ability to extract and analyze large amounts of data using various tools 

  
  


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  Moderate analysis skills, primarily investigating and explaining trends and variances using statistical techniques required 

  
  


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  Works effectively both independently and in a team environment required 

  
  


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  Ability to effectively communicate with associates and leadership in cross-functional settings using verbal, written and presentation skills required 

  
  


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  Ability to execute pre-existing project plans and possesses basic project management skill. 

  
  

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  Strong analytical, critical, and systems thinking required 

  
  

 

Technical proficiency preferred in the following: 

 

o    An advanced ability to interact with various database and file storage systems (DB2, IDMS, Oracle, Hadoop, NoSQL) 

 

o    Data manipulation languages such as SQL, Hive, Pig, XML 

 

o    Statistical tools such as SAS, SPSS, R, or Jump 

 

o    Microsoft Excel - experience using pivot tables, formulas, macros, vba, charts/graphs 

 

o    Business Intelligence such as Hyperion, OBIEE, or IBI WebFOCUS, Sharepoint 

 

o    Visualization tools such as Tableau, or PowerBI