Sr. Analyst, Client Analytics

The Sr. Analyst will play a key role in supporting the development of customer-centric business and loyalty marketing strategies by identifying opportunities, leading analysis, reporting on performance, formulating recommendations, testing hypotheses, and communicating findings. The successful candidate will work closely with our consultants and will play a significant role in the use of insights to drive business outcomes.

Job requirements
Bachelor’s degree in an analytical discipline (Business, Computer Science, Engineering, Statistics, Math, or equivalent). Master’s Degree is a plus. 
3+ years of relevant work experience in an analytical discipline (business analysis, analytics, data science, business intelligence, statistics). 
Strong business acumen and demonstrated experience in marketing analytics, customer analytics, and loyalty analytics. 
Strong communication skills: effective at communicating a compelling summary of findings and explaining analytical methodologies. 
High proficiency with database languages (SQL) and programming languages (Python, R). Experience with big-data languages. (PySpark) is a plus. 
High proficiency with data visualization in BI reporting tools (PowerBI, Tableau). 
Experience with advanced analytics techniques (supervised learning, unsupervised learning, statistical testing, simulation, optimization). 
High proficiency with Microsoft PowerPoint and Microsoft Excel.

Job responsibilities
Lead analytics projects from start to finish: develop hypotheses, gather requirements, conduct analyses, translate findings into insights and recommendations, create material to communicate insights (PowerPoint/BI reports), and present to client stakeholders. 
Write efficient Python and SQL code to conduct analyses on large, complex data sets. 
Design, build, and maintain analytics reports and dashboards (PowerBI, Tableau). 
Proactively conduct analyses to identify opportunities for business improvement. 
Dive headfirst into ambiguous client problems; use highly-structured thinking to develop logical approaches and solutions. 
Build effective communication material in PowerPoint/BI Tools/Excel and communicate analytical findings to both technical and non-technical client audiences. 
Learn about and implement advanced analytics methods in marketing, customer, and loyalty contexts (supervised learning, unsupervised learning, statistical testing, simulation, optimization).