Job Information
Insight Global Data Analyst in Toronto, Ontario
Job Description
Insight Global is hiring for a Data Analyst to support our Capital Markets Fixed Income team, with a strong focus on back-office and operational data. This is a new role supporting both businesss as usual data related tasks and a strategic initiative to migrate enterprise data to Databricks and improve data transparency, controls, and regulatory reporting. This role is domain-heavy and ideal for someone who deeply understands capital markets business domains and can translate business processes into data requirements and insights. While technical skills are required, business and market knowledge is the priority.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
Business & Domain Expertise (Primary)
Strong Capital Markets experience, with emphasis on Fixed Income and exposure to FX, Swaps, and Commodities
Solid understanding of back-office functions, including Settlements, Operations, Regulatory reporting, and Finance
Proven ability to partner effectively with business, operations, and technology teams
Technical Skills
Strong SQL for data querying and validation; working knowledge of Python
Experience with ETL / data pipelines and large datasets
Databricks experience or exposure preferred Databricks ingestion/migrations