Job Summary
We are seeking a
Business Systems Analyst
with expertise in
banking and wealth management domains
to support data ingestion initiatives. The ideal candidate will bridge business needs with technical execution, collaborating with stakeholders to design, validate, and optimize data pipelines. Strong analytical skills, coding proficiency in
SQL and Python
, and experience in
story grooming
and
requirements management
are essential.
Key Responsibilities
Domain Collaboration:
Work closely with business teams in
banking and wealth management
to understand data requirements, define use cases, and translate them into technical specifications.
Data Ingestion \& Analysis:
Assist in designing and validating data ingestion processes, ensuring accuracy, completeness, and compliance with domain-specific regulations.
View Creation:
Develop and maintain
domain-based data views
(e.g., customer portfolios, transaction histories) using SQL, tailored to business needs.
Story Grooming \& Requirements:
Refine user stories, clarify acceptance criteria, and collaborate with developers to ensure alignment between business goals and technical implementation.
Developer Support:
Act as a liaison between business and engineering teams, providing clarifications on requirements, and assisting in troubleshooting data-related issues.
Data Analysis:
Perform exploratory data analysis (EDA) to identify trends, anomalies, and opportunities for process improvement.
Documentation:
Maintain clear documentation of data workflows, business rules, and system interactions.
Qualifications \& Skills
Domain Knowledge:
Proven understanding of
banking and/or wealth management
processes (e.g., asset management, compliance, client reporting).
Technical Skills:
Basic coding proficiency in
SQL
(querying, optimization) and
Python
(data manipulation, scripting).
Familiarity with data ingestion tools (e.g., ETL frameworks, APIs) is a plus.
Analytical Mindset:
Strong problem-solving abilities and attention to detail.
Agile Experience:
Familiarity with
story grooming
, sprint planning, and Agile methodologies.
Communication:
Excellent verbal and written skills to bridge technical and non-technical stakeholders.
Education:
Bachelor’s degree in business Analysis, Computer Science, Finance, or a related field.
Preferred Qualifications
Experience with
cloud-based data platforms
(e.g., AWS, Azure, Snowflake).
Knowledge of financial regulations and data governance best practices.
Prior work in
data warehousing
or
business intelligence
environments.