Sr. Analyst, Client Analytics

At Bond, we are dedicated to helping global brands achieve customer-centric growth. We build customized loyalty marketing and human experience solutions for our clients, enabled by technology and data insights. The Client Analytics team at Bond is responsible for the 'last mile' in analytics delivery. They use best-in-class analytical solutions to interpret the data and deliver insights that enable our clients to build stronger bonds with their customers. This team works directly with clients as well as internal account consultants to bring forward insight driven business recommendations.

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.

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).

Qualifications:

• 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.

Bond is proudly recognized as a Great Place to Work and Best Managed Company. We're 800(ish) people working tirelessly together to make the world a more loyal place. You'll be joining a hyper-talented team with a galaxy of skill sets ranging from research to creative to digital and beyond. You'll have an excellent opportunity to grow, learn and make an impact as we tackle some of our client's biggest business challenges.

At Bond, we are proud to be a diverse organization, and we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly create equal opportunity and positive employment experiences for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and people with intersectional identities.

Please connect with our People & Values team should you require any accommodation.