In this role, you will:

Consult with business line and enterprise functions on less complex research
Use functional knowledge to assist in non-model quantitative tools that support strategic decision making
Perform analysis of findings and trends using statistical analysis and document process
Present recommendations to increase revenue, reduce expense, maximize operational efficiency, quality, and compliance
Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency
Participate in all group technology efforts including design and implementation of database structures, analytics software, storage, and processing
Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff
Understand compliance and risk management requirements for supported area
Ensure adherence to data management or data governance regulations and policies
Participate in company initiatives or processes to assist in meeting risk and capital objectives and other strategic goals
Collaborate and consult with more experienced consultants and with partners in technology and other business groups

Required Qualifications:

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

Desired Qualifications:

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.

Job Expectations:

Ensure adherence to data management or data governance regulations and policies
Extract and analyze data from multiple technology systems/platforms and related data sources to identify factors that pose a risk to the firm.
Consult with business line and enterprise functions on less complex research
Understand compliance and risk management requirements for sanctions compliance and data management
Perform analysis of findings and trends using statistical analysis and document process
Require a solid background in reporting, understanding and utilizing Relational Databases and Data Warehouses, and be effective in querying and reporting large and complex data sets.
Excel at telling stories with data, presenting information in visually compelling ways that appeal to executive audiences, and will be well versed in the development and delivery of reporting solutions.
Responsible for building easy to use visualization and perform data analysis to generate meaningful business insights using complex datasets for global stakeholders.
Responsible for testing key reports and produce process documentation.
Present recommendations to maximize operational efficiency, quality, and compliance
Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency
Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff

Advanced Software Engr

Salesforce Developer

QA test engineer

Analytics Data & Analytics

Finance Analyst

Python Full Stack Developer (With REACT)