Senior Data Analyst (Customer Growth) | Careers

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Full-Time

Senior Data Analyst

The Data Analyst (Customer Growth) partners with stakeholders e.g. product & marketing and leverages analytics to drive SVSB’s KPIs of growing our customer base and increasing engagement. The responsibilities include building high quality reports and dashboards for monitoring customer growth and engagement, conducting analysis to extract insights from our customer transactional and behavioral data, and presenting actionable insights through data visualization and storytelling in business meetings. This role will require fluency in SQL, a strong problem-solving ability and ability to communicate effectively with data.

In This Role You Will:

Collaborate with business stakeholders to define key metrics and analysis frameworks relating to customer growth & engagement metrics.
Build high quality self-serve datasets, reports and dashboards for business stakeholders to track customer growth & engagement metrics.
Actively monitor customer growth & engagement trends to identify variations in our metric performance and contribute effective commentary to business reviews.
Conduct deep dive analysis to understand reasons behind variations in our metrics and communicate root causes to stakeholders.
Effectively prioritize and support important ad-hoc queries and analysis needed by business stakeholders.
Use analytical methods to measure the effectiveness of marketing acquisition, lifecycle and tactical campaigns as well as key product changes.
Translate data insights into actionable recommendations for audience targeting, campaign planning, and product feature optimization to drive activation & retention.
Perform exploratory analysis using a variety of customer data sources to extract behavioral patterns and identify opportunities for growth.
Contribute to the data driven culture in the company by publishing impactful analyses and sharing useful data resources to the broader organization.
Contribute to the data team knowledge base and overall team growth through effective work documentation & peer knowledge sharing.

You’re a great fit if you have:

Bachelor’s degree in Business Administration, Finance, Economics, Computer Science, Data Science, Engineering or other related fields.
4+ years of experience with at least 3 years of experience in a data analytics role.
Experience in B2C e-commerce or loyalty with a mobile app product is preferred.
Financial services experience is a plus.
Understanding of the key drivers within the payments/loyalty domain is preferred, but not a requirement.

Technical & Functional Skills:

Ability to access a relational database using SQL with fluent ability to understand, write and modify SQL code.
Experience with navigating databases or data warehouse to understand data sources and performing data cleansing and modelling tasks is preferred.
Ability to leverage data visualization tools to create reports and dashboards e.g. Google Data Studio, Power BI, Tableau, MicroStrategy.
Good understanding of core concepts in descriptive and inferential statistics e.g. normal distribution, hypothesis testing.
Familiarity with marketing metrics and key performance indicators.
Familiarity with customer analytics concepts e.g. segmentation, retention, funnel analysis.
Python/R or Machine Learning/Data Mining knowledge is a plus.

Soft Skills:

Ability to work independently and collaboratively with other functional teams e.g. product, operations, marketing, and engineering.
Positive team player with strong collaboration skills.
Confident and competent in presenting and communicating data insights to business audiences.
Track record of creative problem solving and ability to challenge the status quo.
High energy, self-motivated and able to thrive in a fast-paced environment.
Humble and customer-centric.