Data Analyst, Client Analytics

Summary

Join CyberRisk Alliance as a Data Analyst, Client Analytics in NYC/Remote! You will be responsible for developing client reporting capabilities, transforming product performance data into digestible analytical stories. Collaborate with cross-functional teams to create compelling narratives showcasing product value. This client-facing role requires strong marketing analytics expertise and the ability to explain marketing metrics to marketers. You will develop data collection strategies, meet with stakeholders, build real-time reporting dashboards, and provide actionable reports and analysis. The ideal candidate is highly organized, a self-starter, and comfortable in a fast-paced environment.

Requirements

• Bachelor’s degree or additional equivalent experience
• A minimum of 5 years of successful, related and progressive experience in data management
• Strong analytical experience in digital marketing and event analytics
• Strong analytical competencies such as ability to formulate an analytical problem; QC data and results; summarize key findings/insights; make actionable recommendations
• Excellent project management skills with strong attention to detail
• Excellent presentation skills and comfortable telling stories using data to bring up new opportunities or best practices to improve operations and growth
• Excellent written and verbal communication and presentation skills. Effective listener
• Outstanding interpersonal skills with strong personal integrity
• Technical skills o MS Office (Outlook, PPT, Word, Excel, Visio), Google Docs, Dropbox o Comfortable with CMS software

Responsibilities

• Develop and oversee strategies around the collection of data and activities to obtain the data
• Meet with key stakeholders to collect requirements for client reporting
• Leverage data warehouse to visualize and create real time reporting dashboards in data visualization tools for business and campaign level insights
• Manage, run, interpret, and share recurring weekly and monthly performance results from multiple channels
• Provide solicited and unsolicited ad-hoc reports and analysis that are immediately actionable by stakeholders at all levels
• Provide insight and intelligence of database information and audience engagement results to evaluate liabilities, assess performance, identify database marketing opportunities and track audience engagement patterns
• Design and deliver ongoing analysis to provide key business stakeholders with insights to make smart decisions based on data and not assumptions
• Perform data mining and statistical analysis to produce insights that drive data-driven content and campaigns. Translate data into meaningful strategic and tactical recommendations based on these analyses

Preferred Qualifications

• Experience with tools such as SQL, Tableau, HUM (or similar CDP), Google Analytics, Marketo a plus
• Experience in AI, machine learning (python or R) and predictive analytics a plus
• Enjoys presenting to clients and turning data into a value-driven story
• Highly organized, motivated self-starter, multi-tasker, comfortable in a fast-paced environment
• Creative, inquisitive and curious partner, with ability and interest to perform in a hands-on start-up environment and exercise good judgment
• Ability to estimate, plan and manage tasks and report on progress in an agile environment
• The ability to work effectively in cross-functional team environments to partner in aligning goals and strategies
• Contributes to a culture of transparency and accountability and has a track record of operating with high-integrity and honesty; a team leader who can positively impact both strategic and tactical initiatives