Business Intelligence Analyst - Consumer Behavior & Retention#PP

Business Intelligence Analyst - Consumer Behavior and Retention 1396558 #PP

A leading podcast and audiobook company is looking for a Business Intelligence Analyst to support the Member Analytics team. The successful candidate will help support marketing and product teams in evaluating retention and engagement trends, targeting sustainable growth and incremental, long-term measurable value. The Analyst will work with a wide variety of stakeholders as a thought-partner and help guide their decision-making using data as their north star. They will leverage datasets from across the company and utilize analytics skills (including SQL, Excel, and Tableau) to produce critical dashboards, one-off reports, and presentations. The Analyst will be ultimately responsible for translating data capturing customer behavior into agile, insightful analytics that are communicated clearly and effectively, and lead to optimal marketing and product actions and scalable long-term strategies.

Business Intelligence Analyst Pay and Benefits:

• Hourly pay: $55-65/hr
• Worksite: Leading podcast and audiobook company (Newark, NJ 07102 - Onsite 5 days a week)
• W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
• 40 hours/week, 9 Month Assignment

Business Intelligence Analyst Responsibilities:

• Partner with stakeholders as a strategic collaborator by owning business intelligence analyses end-to-end, providing business partners with timely, relevant insights, scenarios, and recommendations, and democratizing results via internal intelligence platforms for long-term use.
• Produce tangible, actionable insights and work with senior marketing and product leaders to guide roadmaps and business strategy at both holistic and granular levels, with a focus on improving retention and listening results.
• Build dashboards and scorecards that enable leaders to understand and act upon data to create and iterate on various marketing tactics and product feature development.
• Manage a portfolio of highly consumable competitive intelligence assets (e.g., dashboards, papers, presentations, datasets) that can be used strategically across stakeholder and analyst groups and find opportunities to enhance that portfolio based on stakeholder needs and feedback.
• Analyze the results of A/B tests across different surfaces, provide recommendations based on testing results, and deep-dive into observed customer behavior to develop new hypotheses for continuous testing-and-learning.
• Leverage analytical methodologies to measure and present the incremental impact of marketing tactics including save offers, outbound and inbound campaigns, and product launches.
• Develop retention hypotheses, test hypotheses and report on findings.
• Develop Amazon-scale data pipelines with multibillion rows of data.
• Imagine and invent before the business asks, and create groundbreaking solutions using cutting-edge approaches.
• Contribute to the growth of the Insights Org by sharing and developing ideas and learning from others.

Business Intelligence Analyst Qualifications:

• 2-3+ years of experience as a Business Intelligence Analyst/Engineer, or other occupation/role/job title involving experience in business intelligence, analytics, data science, or technical project management.
• Bachelor's degree in Business Intelligence, Computer Science, Mathematics, Statistics, Engineering or related field.
• Master's degree in Business Intelligence, Computer Science, Mathematics, Statistics, Engineering or related field - preferred.
• Background in consumer behavior analytics required, with strong business acumen in customer retentation and engagement. Background in marketing analytics preferred.
• Background in streaming services, ecommerce, digital media, or related industry.
• Passion for data and insights, curiosity, and resourcefulness.
• Strong SQL skills.
• Strong experience using data visualization tools like Tableau.
• Knowledge of A/B testing, statistical methods (e.g. t-test, Chi-squared) and modeling.
• Domain expertise in subscription services, growth marketing, retention or engagement analytics, etc. strongly preferred.
• High attention to detail and a track record of managing multiple, competing priorities simultaneously under tight deadlines.