Drive impactful data analytics projects in a hybrid work environment. Collaborate with experts to deliver AI and ML solutions. Enhance your skills in a dynamic, fast-paced setting.
Business Analyst – Advanced Data Analytics
in Information Technology ContractJob Detail
Job Description
Overview
- Serve as a Business Analyst supporting advanced data analytics and enterprise data platform initiatives in a hybrid work environment.
- Collaborate with data scientists and investment professionals to translate business needs into actionable specifications.
- Engage in fast-paced, iterative projects with a focus on delivering impactful outcomes.
- Contribute to the development of AI, ML, and data science products for corporate functions.
- Support enterprise data governance and demand management workflows to enhance data readiness.
- Opportunity to work with cutting-edge technologies and methodologies in data analytics.
- Engage with stakeholders across various levels, including front-office bankers and technical teams.
- Hybrid work arrangement with in-office presence required three days per week.
Key Responsibilities & Duties
- Elicit, analyze, and document business requirements for data science and analytics projects.
- Coordinate user acceptance testing (UAT) and ensure alignment between technical teams and stakeholders.
- Evaluate product usability and provide actionable feedback to enhance user experience.
- Maintain and manage the firm's data demand register, ensuring data readiness.
- Engage with business leaders to structure and normalize data needs effectively.
- Support data governance initiatives and contribute to program management activities.
- Collaborate with cross-functional teams to deliver AI, ML, and data science solutions.
- Provide regular updates on project status and data asset readiness to stakeholders.
Job Requirements
- Bachelor of Science (BS) degree in a relevant field.
- 5+ years of experience as a Business Analyst in financial services.
- Proficiency in requirements elicitation and stakeholder engagement.
- Experience with AI, ML, and data science product delivery.
- Knowledge of SQL, Python, and BI tools like Power BI or Tableau.
- Familiarity with enterprise data platforms and governance frameworks.
- Exceptional communication skills and ability to adapt to diverse audiences.
- Proactive, solution-oriented mindset with a focus on achieving results.
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