Senior Analyst, Market Analytics - Secaucus, NJ in Secaucus, NJ at Quest Diagnostics

Date Posted: 11/18/2020

Job Snapshot

Job Description

The Senior Analyst, Market Analytics is a hands-on professional with experience in using predictive modeling, customer analytics and data mining to derive insights and recommendations. This role is highly collaborative and works cross-functionally to optimize marketing campaigns and programs, track customer experience, develop market-level forecasts and lead opportunity assessments. This will be accomplished by creating and executing advanced analytics and by presenting results and recommendations. The role will assist with the building and deployment of foundational capabilities that will allow for ongoing collection, analysis and reporting of Consumer and Health Care Professional customer experience.

It is critical that the individual be able to contribute in a highly matrixed organization to enable evidence-based decision-making. It is essential that this individual be able to synthesize outputs from analytical tools and methods and communicate them to colleagues who are not subject matter experts in a way that they can determine appropriate actions they should take based on the derived insights.

Other Responsibilities Include:

•         Utilizes appropriate analytics methods to conduct ROI analyses, regression analyses, market-level forecasting, financial modeling, CX measurement and opportunity assessments

•         Creates near and long-term forecasts (familiarity with statistical trend/cycle/seasonal methods like exponential smoothing and ARIMA); understands demand-driven forecasting and consensus forecasting

•         Conducts market sizing and opportunity analysis utilizing secondary research methods, financial analysis, demand modeling, product lifecycle, S-curves, industry knowledge, product development and primary research

•         Assists in the development, standardization and implementation of customer experience tracking and reporting

•         Creates actionable customer segmentations

•         Prepares and delivers presentations that allow insights to be readily extracted and understood from large amounts of data

•         Supports strategic initiatives and ad hoc requests

•         Supports department needs for ad hoc reporting

Qualifications

•         Bachelor’s degree required; Master’s level degree in mathematics, economics or related field (e.g. MBA, MPH, MS) is preferred

•         3-5 years in analytics or finance in a business organization; 3+ years analyzing large data sets and creating data models to inform decision-making

•         Experience working in a regulated industry a plus; experience working within life-sciences and customer experience a plus

•         Skilled in market-level forecasting and market opportunity assessments for new products/services in B2C, B2B and data-thin environments

•         Experience predicting, monitoring and measuring the performance of marketing programs/ campaigns, including attribution modeling

•         Hands-on experience measuring customer experience (CSAT, CES, NPS) and familiarity with enterprise-wide customer experience platforms such as Qualtrics, Medallia and/or Confirmit

•         Highly proficient in a variety of analytical and statistical tools commonly used in business today. Examples include: statistical packages (SAS, SPSS), database query languages (SQL), data analytics platforms (Alteryx) and data visualization tools (Tableau)

•         Thorough understanding of statistics as it relates to analyzing data sets and understanding their limitations

•         Ability to translate ‘asks’ into analytical solutions that address underlying business needs

•         Demonstrated proficiency with Microsoft Office suite of products

•         Strong project management skills; seamlessly manages multiple simultaneous projects and the flow of information across multiple work groups

•         Team oriented – ability to work well with diverse, cross-functional teams; ability to work collaboratively in a highly matrixed organization

•         Strong interpersonal and organizational skills

•         Ability to function in a sometimes ambiguous environment that seeks to achieve a higher level of analytical maturity

•         Strong writing and communication skills; ability to prepare and present clear and concise written communications, both in report and presentation formats

•         Initiative – ability to independently problem solve and find resolutions

Supervision Exercised:

This position has no direct reports.

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