Data Analyst-SAS and SQL

Do you seek challenges and personal development opportunities, and have the courage to make a difference? Are you a motivated, flexible, creative team player with perseverance, excellent multi-tasking abilities and a proven track record for meeting strict deadlines? Then, Apply Now!

Working with one of the top financial clients this role calls for a Data Analyst-SAS and SQL who will consult on analytical solutions to understand, analyze, and synthesize requirements, goals, and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. This candidate will provide advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. The successful candidate will support the development of the strategy and roadmap for data quality and data analytics, reporting, business intelligence, and the design and development of sophisticated decision support tools.

Responsibilities:

Acts as a trusted advisor to assigned business/group.
Leads the design, development, and implementation of analytic solutions.
Identifies emerging issues and trends to inform decision-making.
Recommends and implements solutions based on analysis of issues and implications for the business
Ensures alignment between stakeholders about business needs and data needs.
Leads/participates in the design, implementation, and management of new analytics & reporting solutions.
Designs, develops and implements innovative analytical solutions.
Designs and produces regular and ad-hoc reports and dashboards.
Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations
Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
Cleanses manipulates and transforms data through programming/scripting for model training and validation.
Automates validation tests to improve the quality and efficiency of the validation process.
Validates and tests models used in analytics and reporting to assess/address performance and compliance.
Promotes reporting automation, self-serve analytics consumption, and the culture of analytics-driven decision making.
Monitors and tracks tool performance, and user acceptance testing, and addresses any issues.
Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting
Designs develops, and implements innovative analytical solutions.
Designs and produces regular and ad-hoc reports and dashboards.
Builds reports and visualizations to effectively communicate data-driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, and dashboards to illustrate facts, trends, and insights.
Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
Analyzes data and information to provide subject-matter insights and recommendations.
Develops tools and delivers training programs for the use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
Documents and maintains operational procedures and processes relating to analytical and reporting processes.
Builds effective relationships with internal/external stakeholders.
Collaborates with internal and external stakeholders to deliver on business objectives.
Focus is primarily on business/group within the client; may have broader, enterprise-wide focus.
Provides specialized consulting, analytical and technical support
Exercises judgment to identify, diagnose, and solve problems within given rules.
Works independently and regularly handles non-routine situations.
Broader work or accountabilities may be assigned as needed.
Desired Skill Set:

5+ years of relevant data analytics experience
Advanced product knowledge for the designated business/portfolio.
Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to SQL, SAS (certified), R, Python, PowerBI, and PowerPoint.
Deep knowledge and technical proficiency gained through extensive education and business experience.
Verbal & written communication skills – In-depth.
Collaboration & team skills – In-depth.
Analytical and problem-solving skills – In-depth.
Influence skills – In-depth.
Data driven decision making – In-depth.
Understanding of measurement techniques (a/b testing, treatment control framework)
Data mining, data storytelling and data visualization
Nice To Have:

Relevant degree (stats, data, analytics)
RESL analytics experience
Previous knowledge of home financing, HELOCs, and mortgages (particularly in a banking setting)