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The Specialized Analytics Ld Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. This is an ideal analytics job for curious people who love solving challenging business problems, driving data driven strategies, applying statistical techniques, building predictive models, interacting with internal and external partners to influence business decisions in a fast-paced environment.
Job Responsibility:
Build CRS digital engagement, experience and adoption KPIs / goals and roadmap planning
Lead CRS Credit Card digital new accounts / funnel performance analytics, outlook and trends
Build diagnostics frameworks and analytical insights to map underlying drivers, emerging risks and opportunities
Drive efforts on ad hoc, time sensitive exploratory data analysis, confirmatory data analysis and/or qualitative analysis
Identifies data patterns & trends, and provides insights to enhance business decision making
Coordinate data gathering from external sources to inform analysis
Cross-functional collaboration and driving programs to logic closure
Work with marketing, finance, and risk teams to optimize, enhance, and expand programs
Partner with the portfolio Chief Analytics Officers to deliver analytic solutions
Work with local and offshore resources and provide analytic leadership and project management
Support Business and Global Data Analytics functions in Audits and Business Control activities
Work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis
May include utilizing statistical models / algorithms and data visualization techniques
Requirements:
6-10 years of experience
Working experience in a quantitative field, Financial/Credit Card industry
Experience in Digital funnel analytics and tools such as Adobe analytics, glass-box etc.
Demonstrated ability in data retrieving and manipulation
Proficient analytical skills
Excellent analytic ability and problem solving skills
Proficient in Microsoft Office including excellent MS Excel skills
Excellent communication and interpersonal skills
Organized, detail oriented, and adaptive to matrix work environment
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