Marketing Data Analyst

Position Summary:

Nutrisystem is seeking a Marketing Data Analyst to join its growing Analytics community. This role will develop, manage, and deliver analytical solutions to solve complex business challenges. The Marketing Data Analyst will closely interact with online and offline Marketing, Product Development, Call Center Sales, Retail and Finance to influence key business decisions through fact-driven insights. The ideal candidate will possess excellent analytical and communication skills and have a history of thriving in fast- paced business environments.

Essential Duties and Responsibilities:

• Proactively track trends and monitor factors impacting customer acquisition and retention efforts, communicating key drivers and variances to management.

• Support ad-hoc analysis, discussions and conclusions around the efficacy of marketing channels to drive revenue per customer, length of stay and lifetime value.

• Analyze data to describe customer behavior and preferences, understand marketing channel effectiveness, diagnose customer experience problems, size marketing opportunity and measure the impact of marketing initiatives.

• Develop queries and performs extensive programming to access, transform and prepare data for analysis, ad-hoc and automated reporting and modeling.

• Prepare and deliver insight presentations and recommendations. Communicates complex material in digestible terms appropriate for each audience. Educate company executives and the broader marketing team on analytical findings and implications using storytelling and data visualization techniques.

• Design analytic plans, translating business problems/opportunities into analytic approaches. Engage with project sponsors and stakeholders to understand each business question. Probe for hidden questions and goals. Bring structure to each request and translate requirements into the appropriate analytic approach.

• Design and develop models to target marketing offers including identifying look-a-like targeting opportunities and next best offer recommendations. Responsible for model validation, implementation and documentation.

• Participate in special projects and performs other duties as required.

Qualifications (Include Education and Specific Experience)

• Bachelor’s degree in Statistics, Mathematics, Data Science, Analytics, Operations Research, Economics or other quantitative field required. Master’s degree preferred.

• Minimum 5 years of experience with a history of taking on additional analytical responsibilities.

• Domain experience in marketing analytics: customer acquisition, digital marketing, response modeling, identifying customer needs, predicting customer behavior, next best offer, churn, customer lifetime value

• Excellent verbal and written communication skills. Experience presenting to senior executives distilling complex concepts into actionable recommendations.

• Expertise in data manipulation via SQL, R and Excel required. Python experience preferred.

• Strong understanding of relational databases required.

• Preferred experience utilizing statistical and machine learning methods including: data imputation, propensity models, regression (logistic, linear), clustering (k-nearest neighbors, hierarchical), decision trees (CHAID, CART), random forest, uplift modeling, optimization, simulation, time series, hazard function and survival analysis, Bayesian methods, principal component analysis, support vector machines, association rules, ensemble methods, forecasting, model validation, design of experiments, text mining.

Competencies

Competency

Description of Competency

Demonstrating Initiative

Takes action on his/her own without being prompted; handles problems independently; able to resolve issues without relying on extensive help from others; does more than is expected or asked

Supporting Organizational Goals

Actively supports organizational goals and values; demonstrates enthusiasm toward the company’s goals and mission; aligns actions around organizational goals

Solving Complex Problems

Breaks down large problems into smaller, more manageable components; identifies key factors that influence the viability of different solutions; clarifies information needed to solve problems

Drive For Results

Aggressively pursues challenging goals and objectives; will to put in considerable time and effort to accomplish objectives; takes a highly focused, goal driven approach toward work

Displaying Technical Expertise

Keeps his/her technical skills current; effectively applies specialized knowledge and skills to perform work tasks; understands and masters the technical skills, knowledge, and tasks associated with his/her job; shares technical expertise with others

Collaborative

Balances team and individual responsibilities; Contributes to building a positive team spirit; Creates and builds positive and productive relationships.

Delivering High Quality Work

Critically reviews work processes to ensure quality; addresses problems that could impact quality; makes sure project deliverables and services meet all requirements and expectations; does not make the same mistakes twice

Culture

• Focused – We prioritize our activities and act with a sense of urgency on those initiatives which will meaningfully move our business forward.
• Accountable – We take responsibility for our commitments, decisions and actions and own the results regardless of the outcome.
• Customer-Centric – We honor our customers with a commitment to genuine service.
• Team-Oriented – We are “all hands in” – we work, win, and overcome trials as one company.
• Solution-Driven – When faced with problems, we come equipped with solutions.

Leadership Success Profile

• Earning Trust & Confidence –Demonstrating values and personal competence
• Shaping the Future –Developing a strategy for long-term growth
• Developing Self & Others –Building and leveraging individuals’ capabilities
• Leading Transformation Change –Inspiring commitment and momentum
• Delivering Long-Term Value –Achieving superior performance through operating excellence

Work Environment

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The work environment is typical of an office environment.

SQF Standards

All staff shall be informed of their responsibility to report food safety and quality issues to personnel with authority to initiate action.

Job Type: Full-time

Salary: $95,000.00 to $100,000.00 /year

Experience:

• Analytics: 5 years (Required)
• R: 3 years (Required)
• SQL: 3 years (Required)

Education:

• Bachelor’s (Required)