Proactive Finance Systems Junior Analyst with a strong background in data coordination and predictive modelling, leveraging 18 months of financial analysis experience. Proficient in SQL and Python, having engineered auto…
Proactive Finance Systems Junior Analyst with a strong background in data coordination and predictive modelling, leveraging 18 months of financial analysis experience. Proficient in SQL and Python, having engineered automated ETL systems that enhance data reporting for C-suite decision-making. Achieved a 50% increase in website conversion rates through optimised A/B testing strategies. Equipped with the skills to elevate financial systems and processes, ready to contribute to a dynamic team and drive impactful outcomes.
Conducted financial predictive modelling on 18 months of historical sales data to forecast revenue under new pricing structures, validating a strategic pivot that increased recurring revenue and mitigated churn., Engineered automated ETL systems using SQL and Python to consolidate marketing and financial data, feeding real-time Looker Studio dashboards used for C-suite reporting., Built automated customer success tracking systems by integrating Intercom and Looker, allowing real-time monitoring of NPS, CSAT, and Employee KPIs., Optimised marketing ROI by running aggressive A/B tests on landing pages and simplifying the funnel, increasing website conversion rates from 2% to 3.
Contributed to channel growth from 400,000 to 1,000,000+ subscribers by conducting competitor analysis to identify content gaps in topics and framing devices., Developed data-backed ideation strategies using YouTube Analytics to pivot content toward high-demand topics, aligning video framing with audience retention trends., Maximised Click-Through Rate (CTR) by designing high-performing video packaging (titles/thumbnails) based on audience engagement data.
Problem: The business relied on manual reporting for revenue and marketing data, slowing down strategic decision-making.Tools: Built ETL pipelines using SQL and Python to feed live data into interactive Looker Studio dashboards.Outcome: Democratised real-time access to critical financial, marketing, and customer health (NPS/CSAT) data across the organisation. This transition from manual processes to automated reporting reduced weekly overhead by 12 hours. Furthermore, the resulting data agility empowered rapid A/B testing cycles , which directly increased website conversion rates from 2% to 3%.
Problem: Needed to identify the highest-value customer segment to optimise marketing efforts and scale the customer base.Tools: Used SQL to extract customer profiles and Python (K-Means Clustering & Regression) to correlate demographics with Lifetime Value (LTV).Outcome: Identified that professionals in Tech/Med fields had the highest LTV; the company adopted these findings to redefine its target audience strategy, leading to higher CSAT and NPS scores.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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