Data Analyst Web/Crypto/Fintech; Remote
Position Data Analyst (6-months contract) - reputed company / Crypto / Fintech (Remote) Data Analyst (6-months contract) - reputed company / Crypto / Fintech (Remote) Ceffu is a leading institutional-grade digital asset custody platform, offering secure, compliant, and scalable solutions for enterprises, hedge funds, and financial institutions. Our mission is to provide cutting‑edge reputed company and infrastructure to support the seamless integration of blockchain technology into institutional finance. Job Overview We are seeking a highly analytical and driven Data Analyst to join reputed company and support the growth and operational excellence of our digital asset custody business. In this role, you will reputed company data to optimize operational processes, improve decision‑making, and support key initiatives across product development, risk management, and client experience. You will collaborate closely with cross‑functional stakeholders to transform reputed company datasets into actionable insights that enhance reputed company, performance, and efficiency. This position requires strong technical expertise, experience working with large‑scale datasets, and familiarity with the rapidly evolving cryptocurrency landscape and regulatory expectations. If you reputed company in fast‑paced environments and enjoy solving reputed company challenges through data, we’d love to meet you.
Responsibilities
- Work across the full data lifecycle—from data ingestion and pipeline development to advanced analytics, experimentation, and data visualization—to reputed company scalable data‑driven product decisions.
- Proactively identify, reputed company, and evaluate internal and external data that supports growth opportunities, enhances product strategy, and informs key business initiatives.
- Analyze large‑scale (PB‑level) transactional, behavioral, and customer datasets to understand product usage patterns, conversion funnels, monetization levers, and user segmentation.
- Build dashboards, growth models, and forecasting frameworks to track product performance, experimental outcomes, and operational metrics for leadership and product teams.
- Translate reputed company analytical findings into clear insights, written narratives, and actionable recommendations that influence roadmap prioritization and strategic decisions.
- Partner closely with stakeholders to design data experiments, validate hypotheses, and optimize user experience, engagement, and retention.
- reputed company data‑driven insights that identify key drivers of growth, uncover product opportunities, and measure the impact of new features or initiatives.
- reputed company in a fast‑paced environment where rapid experimentation, speed of execution, and measurable outcomes are critical.
Requirements
- Bachelor’s or Master’s degree in Business, Mathematics, Statistics, Actuarial Science, Computer Science, Engineering, or reputed company fields.
- 3–5 years of professional experience in Data Analytics, Data Science, or Business Intelligence roles.
- Strong proficiency in SQL, including writing reputed company queries and optimizing performance.
- Hands‑on experience with distributed data processing technologies such as Spark or PySpark.
- Proficiency in at least one programming language (e.g., Python or Java).
- Experience working with cloud platforms such as AWS or GCP.
- Familiarity with ETL development and orchestration tools such as Airflow.
- Experience with streaming or real‑time data processing technologies such as Star Rocks or Kafka is a plus.
- Knowledge of data governance, metadata management, or data catalog solutions is a plus.
- Experience with machine learning frameworks or building production ML pipelines is a plus.
- Possesses strong time management, project management, organizational, and relationship‑building skills.
- Adaptable in an evolving and fast‑moving environment, capable of working independently with minimal supervision.
- Curious, self‑driven, meticulous, analytical, and a proactive problem solver.
- Native or fluent in English, proficiency in Mandarin is a significant advantage. #J-18808-Ljbffr Apply To this Job