At Brooks Bell, we build insight-driven organizations so that they can move at the speed of change in customer expectation. Since our inception, we’ve been building world-class optimization programs and helping companies leverage data, human-centered design, and technology to deliver a better experience.
We are seeking a Data Analyst to join our Analytics team. This role will be responsible for representing the analytics discipline in all aspects of the experimentation and web optimization process that we use to drive business growth for our clients. The role requires a unique mix of autonomy and teamwork.
Key Responsibilities:
Apply the fundamentals of statistical analysis to web experimentation and optimization.
Develop a deep understanding of each client’s business metrics, analytics setup, and objectives to develop measurement processes to inform ongoing strategies and gauge effectiveness of experimentation efforts.
Execute the analytics contributions to experiment design and execution.
Retrieve and analyze data from data analytics tools and platforms.
Work with cross-functional teams to identify and take action on optimization opportunities
Collaboratively communicate insights and recommendations that are aligned with clients’ business goals through data storytelling.
Quickly learn new platforms as required by clients.
Requirements:
High competency in statistical analysis
Understanding of experiment design
1 year of data analytics experience
Previous experience with Adobe Analytics and Google Analytics
Proficiency in creating and presenting high-quality, highly accurate, insightful analytics reports
Individual accountability regarding commitments, timeliness of delivery, and quality of work.
Experience in the use of advanced spreadsheet capabilities in MS Excel, Google Sheets
Some experience with programming (Python or R)
Nice-To-Have
GA4
Familiarity with a web optimization platform (Adobe Target, Optimizely,...)
Note: Applicants must be currently authorized to work in the United States on a full-time basis