Data Analyst Lead

AI & Data Analytics

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Full-Time

We are looking for a Data Analyst Lead to help expand the capabilities of the data team. We are obsessed about delivering a seamless and frictionless retail experience for our customer. We strongly believe that we can only deliver these amazing experiences for our customers and merchants when we drive a work culture which inspires innovation, rewards risk-taking and celebrates success. If you want to take more ownership of your career, then you’re ready to be part of Setel.

In This Role You Will:

Collaborate with senior product stakeholders to define key metrics and analysis frameworks holistically across the entire product system, including B2C and B2B.
Help senior product stakeholders to assess ambiguous, high level product problems, translate them into Analytics action plans, and subsequent prioritize and execute the ones with highest impact.
Coach direct reports in technical analysis skills and effective prioritization and execution.
Craft and support the development plans for direct reports to grow their functional and soft skills.
Actively monitor product performance trends to identify variations in our metric performance and surface them to product managers and in product portfolio meetings.
Use analytical methods to measure the effectiveness of key product changes.
Translate data insights into actionable recommendations for product prioritization and feature building efforts.
Conduct deep dive analysis to understand reasons behind variations in our product metrics and communicate root causes to senior product stakeholders.
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 Analytics experience with at least 1-2 years of formal/informal leadership experience.
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 data sources and performing data cleansing and modelling tasks is preferred.
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.
Good understanding of core concepts in descriptive and inferential statistics e.g. normal distribution, hypothesis testing.
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 with senior product stakeholders to assess ambiguous, high level product problems, translate them into Analytics plans, and subsequent prioritise and execute the ones with highest impact.
Ability to develop direct reports and surrounding team members through coaching.
Positive team player with strong collaboration skills.
Ability to work with technical stakeholders in product and engineering to understand the product as-a-whole and the types of data we can/should track.
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.