Marketing Data Analyst

Responsibilities

• Work alongside IT to oversee data management, ensuring that the data is accurately stored, and to correct any erroneously stored data on the backend.
• Conduct analysis for the marketing team, in order to drive data-based strategic decisions on various aspects of marketing campaigns to help meet and exceed annual ticket revenue goals.
• Support the marketing team in the reporting and analysis of marketing campaigns, including researching and recommending changes to policies, procedures, segmentations, and processes – re-engineering them, as necessary, to maximize effectiveness and efficiency.
• Identify key marketing challenges and develop insights and recommendations to address them.
• Build actionable dashboards that answer key business questions and contribute to the marketing team using data, A/B testing, regression modeling, and other analyses.
• Provide timely and quantified recommendations in response to ad hoc analysis requests by Vice President, Marketing & Customer Experience, and other senior staff.
• Maintain predictive model tools to project ticket sales and revenues for future concert seasons.
• Work with the Director, Growth Marketing to guide the direction of audience research.
• Lead the marketing data endeavors of external consultants and evaluate, recommend, and negotiate their contracts.
• Proactively collaborate with the Customer Relations & Experience, Digital, Information Technology, Finance, and Development teams and other internal stakeholders to interpret data and create compelling reports to enhance decision-making capabilities and test assumptions. Create reporting on the above-mentioned to provide to funders, leadership and our audiences.
• Define KPIs and set the strategy for how marketing data will be captured and shared internally with other teams.
• Educate colleagues about thinking analytically, so that more individuals can interpret and act on deeper analyses as our technology and analytical tools advance.
• Identify and vet new marketing technologies and products that can be used by the team.
• Commitment to contributing to an inclusive working environment.
• Miscellaneous duties as assigned.

Skillset

• Bachelor’s Degree in mathematics, finance, statistics, economics, or computer science, or at least three years of experience manipulating, analyzing, and reporting on a wide variety of data sets required.
• Strong quantitative analytics skills with Excel (including graphs and pivot tables, and power query), SQL, CRM systems (Tessitura preferred), and data visualization tools required.
• Experience in statistical and predictive modeling, regression analysis, and data mining.
• Experience working on marketing-related topics with both quantitative and qualitative data.
• Advanced knowledge of the data and service providers in the industry.
• Experience with Tessitura database strongly preferred but not required.
• Demonstrated ability to communicate ideas and analysis both verbally and in writing to a non- technical audience.
• Can transform complex data sets into simple visuals and dashboards.
• Leadership skills with the ability to motivate and influence across teams.