Customer Insights Analyst

6 days ago


Cape Town, South Africa Lulalend Full time

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. BSc or equivalent experience with a 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. #J-18808-Ljbffr



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