Company Overview
Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world's most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow's challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.
Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.
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We are seeking a highly motivated Data Analyst Lead with a strong background in data analysis and experience of 5 - 9 years to join Data Platform Implementation team. As an analyst lead, you will be responsible for leading a team of data analysts, managing multiple implementation projects and book of work and also contributing to analyzing data, mapping data into data models, performing data quality checks, and utilizing basic SQL and Python skills to extract insights and drive decision-making processes.
Responsibilities:
- Develop and maintain data models that accurately represent business processes and requirements.
- Perform data mapping to ensure consistency and integrity across various data sources and systems.
- Conduct data quality checks to identify and resolve data discrepancies and anomalies.
- Collaborate with cross-functional teams to gather requirements and translate business needs into actionable insights.
- Utilize basic SQL and Python skills to query, manipulate data, and automate routine tasks.
- Create reports and visualizations to communicate findings and recommendations to stakeholders.
- Conduct data analysis (by monitoring & reporting on data pipeline performance) to improve data pipeline efficiency/effectiveness.
- Manage team of junior data analysts and manage multiple implementation projects
- Bachelor's degree in engineering, Computer Science, Information Systems, or related field.
- Proven experience in data analysis, data modeling, and data quality management.
- Proficiency in SQL for querying databases and performing data manipulation tasks.
- Basic knowledge of Python for data analysis and automation purposes.
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication and interpersonal skills with the ability to collaborate effectively across teams.
- Experience with business intelligence tools (e. g., Tableau, Power BI) is a plus.
- Experience in the financial domain of hedge funds, fund admins, and banking is a plus.
- Experience with data pipeline and workflow management tools (e. g., Apache Airflow) is a plus.
- Ability to adapt to a fast-paced environment and manage multiple priorities effectively.