Data Insights Strategist
2 weeks ago
Transform Data into Business Success with Initiate International
Drive business growth and inform strategic decisions as a Lead Data Analyst with our client's Business Intelligence Team. With a global presence across 65 countries and processing over $9 billion annually, this is a place where your analytical expertise can make a real difference.
As a key member of our team, you will work alongside the Commercial, Technical Project Management, Operations, and Customer Success teams to craft solutions that drive growth, uncover trends, and optimize performance across our diverse, global client base. This role offers an ideal opportunity to partner with cross-functional experts, making impactful contributions every day.
Your Mission:
- Delve into complex datasets to reveal trends and patterns that uncover growth opportunities.
- Provide stakeholders with actionable insights that inform business decisions.
- Develop analytical assets that drive key metrics and elevate performance, from advanced data models to intuitive dashboards.
Key Responsibilities:
- Collaborate with stakeholders to translate requests into meaningful analytics briefs.
- Utilize advanced models and reports to identify insights that steer business strategy.
- Build and manage rich, interactive visualizations that integrate data insights from diverse sources.
- Answer key business questions, proactively seeking ways to boost efficiency and productivity.
- Work closely with data engineers to create assets that support automation, advanced analytics, and machine learning.
Requirements
What We're Looking For:
- 4+ years in data analysis, including mining, evaluation, and visualization.
- Advanced SQL and Excel skills, plus the ability to master other analytical tools.
- Skilled in presenting insights and recommendations to senior stakeholders.
- A detail-oriented, proactive thinker with a passion for identifying growth opportunities.
- Strong ability to simplify complex insights for a broad audience.
Preferred Skills:
- Experience with data warehousing and ETL/ELT processes.
- Advanced SQL skills for working with data warehouses (Redshift, Hive, SparkSQL, Athena).
- Proficiency in analytical programming (Python) and data visualization tools (preferably Tableau).
- Software engineering fundamentals (Git, GitHub) to keep your code production-ready.
Why Choose Us:
A Unique Opportunity to Shape the Future of Payments
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