Customer Insights Analyst at Lulalend

What We Do:

• We're Lula. We build innovative fintech products to help SMEs make cash flow. From instant access to funding to all-in-one business banking accounts, we're 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, we’re 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
• We’re 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 We’re 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.