Marketing Data Analyst

A market leader in credit intelligence, Reorg brings together journalists, financial analysts, legal analysts, technologists, and data scientists to collect and synthesize highly complex information into actionable intelligence. Since 2013, tens of thousands of professionals across hedge funds, investment banks, management consulting, and law firm verticals have come to rely on Reorg to make better, faster, and more confident decisions in pace with the fast-moving credit markets. For more information, visit: www.reorg.com

Working at Reorg
 
Consistent with our growth, Reorg hires innovators and trailblazers across the globe to drive our business and our incredible corporate culture alike. Our core values – Action Oriented, Customer First Mindset, Effective Team Players, and Driven to Excel – define an organizational ethos that’s as high-performing as it is human. Among other perks, Reorg employees enjoy competitive health benefits, matched 401k and pension plans, Paid time off, generous parental leave, gym subsidies, educational reimbursements for career development, recognition programs, pet-friendly offices, and much more. 
 
The Role

Reorg’s Digital Marketing team is seeking a Marketing Data Analyst to unlock the power of data-driven decision-making within our marketing and commercial teams. You will play a pivotal role in extracting valuable insights from complex data sets to shape our marketing strategies, enhance customer experience, and drive our business forward.

Responsibilities:

• Developing a deep understanding of our products, internal tools, strategic priorities, stakeholder needs, as well as key customers segments
• Data Mining and Analysis: Implement advanced data mining techniques to extract valuable insights from large, structured, and unstructured data sets.
• Insights Generation: Analyze data to identify trends, patterns, and insights that inform marketing strategies and decision-making processes.
• Reporting and Visualization: Develop and present clear, comprehensive reports and visualizations that translate complex data into actionable insights for the marketing team.
• Cross-functional Collaboration: Work closely with marketing, sales, product, and IT teams to ensure alignment of insights and strategies across the organization.
• Customer Segmentation and Targeting: Utilize data mining to refine customer segmentation and targeting strategies, enhancing personalization and engagement.
• Campaign Analysis: Measure and analyze the effectiveness of marketing campaigns, providing recommendations for optimization and future strategies.

Requirements: 

• Bachelor’s degree or higher, 3+ years of data science, statistics, or a related field.
• Proven experience in data mining, analysis, and reporting, within a marketing context.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Proficiency in data mining and analytics tools (e.g., SQL, R, Python) and data visualization tools (e.g., Tableau, Power BI).
• Knowledge of digital marketing channels and metrics.
• Excellent communication and presentation skills, with the ability to translate data insights into actionable marketing strategies.
• Strong problem-solving skills and the ability to work under pressure in a fast-paced environment.
• Team player with the ability to collaborate effectively with cross-functional teams.
• Ability to work from the London office 3 days per week; UK remote candidates will also be considered.

Reorg provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Reorg complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.