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Senior Associate Digital Marketing
NYLIFE Securities, Inc.
Tampa, FL, United States
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New York Life Insurance Company is the largest mutual life insurance company in the United States. Founded in 1845 and headquartered in New York City, New York Life reported 2017 operating earnings of $2.06 billion. Total assets under management at year end 2017, with affiliates, totaled $586 billion.
New York Life holds the highest possible financial strength ratings currently awarded to any life insurer from all four of the major ratings agencies: A.M. Best, A++; Fitch AAA; Moody’s Aaa; Standard & Poor’s AA+ (Source: Individual independent rating agency commentary as of 8/1/17).
Financial strength, integrity and humanity—the values upon which New York Life was founded—have guided the company’s decisions and actions for over 170 years.
New York Life Direct is seeking a talented candidate for a position as a Digital Reporting Analyst within our Digital team. The Senior Associate will forecast, analyze and report on Digital results across all NYLD business lines within a direct marketing environment. This individual will collaborate with the Digital Strategy team members to help quantify initiatives and monitor effectiveness. This role will also consistently analyze and inform management of trends or issues related to the Digital business. Candidates should have an analytical mind and be unafraid of getting into the weeds with data to glean new insights that will help drive desired outcomes and fuel innovation.
Major Responsibilities
• Manage the planning and forecasting process by business line and ensure accuracy in all forecasts: Review historical trends, internal/external environmental changes, and establish defendable forecast assumptions.
• Establish roadmap and execute continuous improvement of current NYLD forecasting models to include additional forecasting complexity/granularity and automation. Leverage skills in Adobe Analytics, Database Analytics and other digital tools to understand customer trends to enable recommendations for improvements in marketing efficacy.
• Make recommendations to maximize sales and contain costs to effectively grow the business and meet profitability targets.
• Work closely with Marketing Strategy and Planning staff to ensure all initiatives are accurately quantified and taken into forecast consideration.
• Develop a roadmap for Digital reporting, while maintaining all forecasts and managing deadlines.
• Actively track and inform senior management of trends or issues that result in variance to plan.
• Develop and utilize quality/error checks in all analytical requests to ensure accuracy.
• Responsible for continuous review of and development of existing models and reporting.
• Other ad hoc requests as assigned.
Experience
• At least three years of applicable experience that includes analyzing information in a marketing/digital context.
• Ability to perform analysis at an intermediate level and provide actionable insights.
• Possesses at least two years of forecasting experience. Ability to understand how the business functions to enable detailed bottoms up forecasting.
• Intermediate understanding of excel modeling.
• Must have advanced excel skills to be successful in this position.
• Must have Digital Analytics experience preferably with Adobe Analytics/Site Catalyst.
• Strong attention to detail required with an ability to proactively identify opportunities for improvement.
• Ability to manage multiple projects, while consistently meeting deadlines through effective prioritization and time management skills.
• Demonstrates outstanding critical thinking ability.
• Excellent written and oral communication skills.
• Digital Marketing experience preferred.
• Sound understanding of business math principles and can apply to actual marketing scenarios.
• Basic to intermediate level understanding of marketing metrics modeling and dynamic report structuring.
• Digital Marketing experience and familiarity with Digital metrics preferred.
• Solid knowledge of forecasting and analytics in order to predict trends and make long term forecast assumptions.
• Ability to understand implications of business challenges and takes them into consideration when forecasting.
• Ability to understand analytical, reporting, and modeling best practices, including error checking and data validation approaches.
• Ability to work closely with program managers to assess opportunities and quantify potential cost and sales expectations. This will require communication, consultative, and analytical ability.
• Ability to produce and present relatively simple reports to management. Will be required to effectively communicate analytical rationale and methodology to peers with different levels of analytical understanding.
EOE M/F/D/V