Data Analyst| Careers

AI & Data Analytics

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Full-Time

Data Analyst

The Data Analyst partners with stakeholders e.g. product & marketing to continuously evolve and provide all core reporting interfaces and deliverables required for tracking the performance metrics for the business. 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, presenting actionable insights through data visualization and storytelling in business meetings, and working with the Analytics Engineer in developing core datasets that ensure availability and granularity of important product data. This role will require fluency in SQL, and ability to communicate effectively, and ability to work across technical teams e.g. product and engineering as well as business teams where required.

In This Role You Will:

Continuously collaborate with senior stakeholders to understand the key KPIs and goals and translate them into reporting specifications.
Manages the administration and execution of the KPI reporting by designing and maintaining the appropriate reporting interfaces and deliverables e.g. spreadsheets, dashboards, automated emails.
Actively monitor marketing or product KPIs and progress to product portfolios, identify variations in performance and alert product stakeholders accordingly.
Effectively prioritize and support important ad-hoc queries and analysis needed by product stakeholders e.g. product portfolio meetings.
Support training & onboarding for team members and company to the various existing metrics.
Work with Analytics Engineer and fellow data team members in developing core datasets that ensure self-service availability of important product data, with the right format and granularity.
Monitor and maintain dashboards on the health of our transactional experiences across orders, payments, and loyalty (error rates etc) and deep dive where necessary.
Maintain thorough knowledge of existing and emerging metrics as needed for analytics and diligently update the data glossary.
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
2+ years of experience with at least 1 years of experience in a data analytics role
Understanding of the key drivers within the transactional B2C/payments/loyalty domain is preferred, but not a requirement
Financial services experience is a plus

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 raw data sources and performing data cleansing and dimensional modelling tasks
Experience with Product Analytics tools e.g. Mixpanel, Amplitude, Google Analytics
Ability to leverage data visualization tools to create reports and dashboards e.g. Google Data Studio, Power BI, Tableau. MicroStrategy
Familiarity with setting up metrics and key performance indicators for either B2C or B2B products
Familiarity with customer analytics concepts e.g. conversion, segmentation, retention, funnel analysis

Soft Skills:

Ability to work independently and collaboratively with other functional teams e.g. product, engineering
Positive and reliable team player with strong collaboration skills
Exceptional attention to detail and quality
Strong written and verbal communications skills
High energy, self-motivated and able to thrive in a fast-paced environment
Humble and customer-centric