Retail Transformation Business Intelligence & Strategy Senior Analyst

Key Skills

Java Programming, Analytical and Problem solving, Python Programming, SQL, PowerBI, Apache Hadoop, Tableau, Apache Hive, Teradata, MicroStrategy, SAS, Lean Six Sigma, Large scale data processing, Powerpoint

Job Description

Retail Transformation is looking for an experienced analytical professional to join our Servicing Transformation Strategy & Analytics team. We are looking for smart, energetic candidates with strong technical backgrounds, a great sense of urgency and an excellent approach to teamwork.

The Retail Transformation Business Intelligence and Quantitative Senior Analyst leads and delivers the analytical work efforts for a dedicated business area or function and may utilize various resources across Analytical Teams; usually within a specific line of business or business discipline (card, call center, digital, etc.). The Senior Analyst drives Client Experience and Contact Center strategy by using AI/machine learning, analytics statistics, simulation modeling and other skills to understand client behaviors. The position provides data and analytic support for identifying solutions, creating business cases and analyzing ongoing performance via control plans and will collaborate with peers and partners to understand key business drivers.

The role will be responsible for several key areas:

• Leverages multiple databases to acquire customer and performance data and demonstrates deep subject matter expertise in area of focus.
• Delivers individually or with the help of peers and others insightful data to be used in driving complex business decisions or processes.
• Identifies opportunities for collaboration across the Analytics organization to effectively deliver against priorities.
• Communicates with Senior Managers and Analytics executives to understand business problems to be analyzed and deliver the appropriate summary and data required.
• Communicates with Business Leaders to identify, analyze, and propose solutions to a variety of business problems using data driven insights.
• May be required to interact more independently and own a project or business area end-end.
• Ability to use data tools and techniques to find and deliver data from various sources of record.
• Proven communications skills in describing complex data to inform strategic insights and decisions.

Required Skills:

• 3+ years of experience in defining data science and modelling practices in an applied environment
• 3+ years analytics experience within Contact Center or Financial Services
• Proficiency in SQL
• Proficiency with at least one coding language for modelling such as R, Python, and SAS etc.
• Bachelor’s Degree - ideally in a quantitative discipline such as Computer Science, Statistics, Mathematics, Operations Research, engineering OR appropriate work experience and certifications/training
• Experience in data visualization tools such as Tableau, MicroStrategy, Power BI
• Familiarity with large scale data sets and distributed computing technologies such as Hadoop, Hive, and Teradata etc.
• Highly effective written and verbal communication
• Highly proficient in PowerPoint and Executive Presentations
• Engages and invests in a positive culture of reward and recognition
• Strong interpersonal skills required to interact with a broad range of stakeholders, partners, and personalities
• Inquisitive, curious mindset able to work autonomously with limited direction
• Superior communication skills, and comfort presenting work to team members as well as senior executives
• Great organizational skills and project management skills
• Adaptability and ability to thrive in a dynamic environment
• Intellectual curiosity and strong urge to figure out the “whys” of a problem and come up with creative solutions
• Microsoft Office skills (Visio, Excel, and PowerPoint)
• Advanced Technical, Analytical and Problem solving skills

Preferred Skills:

• Masters or PhD in Mathematics, Economics, Statistics, Data Science, Operations Research or similar field preferred
• Financial services business acumen
• Experience with Contact Center technologies and data teams: CCAT, MCCA, CC
• Demonstrated analytical experience in utilizing SAD
• Process improvement expertise; Six Sigma certification
• Experience working with multiple technology and data warehousing teams
• Experience in contact centers or large scale operations environment