Analytics Associate

• Use data research capabilities to translate business problems and data needs into low complexity analyses and recommendations
• develop standard and customized reports or ad hoc analyses to be leveraged for recommendations
• provide updates to project logs, monthly budget forecasts, and contribute to monthly newsletters or operations reviews
• participate in projects including assisting systems support group with design, programming, research, testing, and implementation aspects
• assist in troubleshooting and problem solving with respect to production or issuance issues
• assist with developing departmental and division procedures, policies, and controls to maintain the accuracy and efficiency of processes and minimize the risk of incorrect production and issuance output
• work on data and business research projects, secondary research testing, or results oriented intelligence
• receive direction from supervisor, exercise independent judgment and partner with technology and other business groups
• participate with other consultants or program managers on tasks related to the completion of other various projects including project design, collection and research of data, report preparation, or presentation design

6+ months of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• Experience in Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• excellent verbal, written, and interpersonal communication skills
• strong knowledge of Enterprise Risk programs and applicability of risk management framework (3 Line of defense)
• experience identifying internal and external data sources from multiple sources across the business
• experience with SQL, Teradata, or SAS and Database Management systems like Teradata and MS SQL Server
• experience in risk (includes compliance, financial crimes, operational, audit, legal, credit risk, market risk)
• experience in data visualization and business intelligence tools
• advanced Microsoft Office (Word, Excel, Outlook and PowerPoint) skills
• demonstrated strong analytical skills with high attention to detail and accuracy
• strong presentation skills and ability to translate and present data in a manner that educates, enhances understanding, and influence decisions, bias for simplicity
• strong writing skills - proven ability to translate data sets and conclusions drawn from analysis into business/executive format and language
• ability to support multiple projects with tight timelines
• meta data management, Data Lineage, Data Element Mapping, Data Documentation experience
• experience researching and resolving data problems and working with technology teams on remediation of data issues
• hands-on proficiency with Python, Power BI (Power Query, DAX, Power apps), Tableau, or SAS
• knowledge of Defect management tools like HP ALM
• knowledge of Data Governance

• Equal opportunity employer
• reasonable accommodation during application process
• drug-free workplace