Customer Insights Analyst

What We Do:

Were Lula. We build innovative fintech products to help SMEs make cash flow. From instant access to funding to all-in-one business banking accounts were on it!

Our purpose is to help SMEs manage their business better faster simpler Lula so they can spend more time doing what they love.

Speaking of love were looking for Lulas who love to make a difference to join our team and change the game.

Culture Code

• We Embrace Curiosity- We continuously seek better ways to deliver value with a solutions-over-problems mindset.
• We win as One - We collaborate build strong relationships and value diverse perspectives
• Were Driven by Purpose - We are passionate and committed to delivering the best products and services for SMEs
• We Execute with Ambition - We set ambitious goals embrace challenges and deliver with focus and determination.

Overall Purpose

Lula is recruiting a Customer Insights Analyst to join our Marketing team. This role blends analytical problem-solving with hands-on analytics engineering to build reliable customer data pipelines and reporting assets ensuring raw behavioral data becomes a trustworthy foundation for the business.

With a focus on establishing an end-to-end data foundation that directly drives user growth and retention this role demands a holistic business understanding to provide insights that influence strategy.

Responsibilities:

• Translate ambiguous business questions into clear metrics hypotheses analyses and decisive recommendations.
• Model and document governed customer datasets in Snowflake using dbt to serve reporting and analysis for Operations Support and Product teams.
• Establish data quality with tests lineage and CI and monitor data pipelines for accurate delivery of customer metrics.
• Explore and share findings in Hex using SQL/Python creating reusable notebooks and lightweight apps to illustrate trends in customer behaviour and support needs
• Manage product analytics in Mixpanel define event taxonomy and surface funnel cohort and retention opportunities.
• Govern Segment as the CDP backbone enforce schemas and identity and ensure reliable warehouse syncing.
• Activate insights via Iterable with audiences triggers and experiments and measure lift end-to-end.
• Create self-serve layers and aligned definitions so teams can move fast with consistent metrics.
• Investigate tracking and data issues end-to-end and drive durable fixes

The Experience & Skills Were Looking For

• A BSc or equivalent experience in a related field
• 3 years in analytics/engineering building models on Snowflake or similar cloud data warehouses
• Expert SQL skills: testing optimization and performance tuning
• Proficiency in dbt workflows including testing documentation macros and Git processes
• 2 years Python for data quality analysis and utilities (e.g. Pandas/NumPy)
• Expertise in Product Analytics (Mixpanel/similar): event design funnels and retention.
• Familiarity with CDP (Segment) implementation event schema design and identity governance
• Strong grasp of databases data structures and warehousing concepts.
• Experience with Agile delivery and working in cross-functional teams.
• Proven bias for action and rapid learning.
• Advantageous skills include experience in FinTech experimentation design schema validation in CDPs and BI tool proficiency for stakeholder enablement.

Please note that all appointments are subject to our background checking process which may include Credit Criminal and any other job inherent check.