Sr. Business Systems Analyst

Highbrow LLC; Toronto; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

A leading data solutions provider is seeking a Sr. Business Systems Analyst in Toronto, ON. The ideal candidate will have over 10 years of experience in business analysis, specifically in Java and Spring. Responsibilities include analyzing data processes, ensuring data quality across systems, and optimizing data pipelines. Experience with big data tools like Hadoop and databases such as Cassandra is required. This role supports hybrid work, requiring 2 days a week onsite.

Qualifications

• 10+ years of relevant experience as a Business Analyst.
• Experience with big data tools: Hadoop, HDFS, ADLS, ADF, Spark, Kafka, Databricks.
• Experience with relational SQL and NoSQL databases, including Cassandra.

Responsibilities

• Analyze current data processes and make recommendations for improvement.
• Work directly with the team to understand analysis and design needs.
• Implement data products and ensure data quality and integrity.
• Optimize data pipelines for performance and scalability.

Skills

Business analysis

Java

Spring

Hadoop

SQL

NoSQL

Education

Undergraduate Degree

Tools

HDFS

ADLS

ADF

Spark

Kafka

Databricks

Job description

Job Title: Sr. Business Systems Analyst

Job ID: 2024-12750

Job Location: Toronto, ON (2 days/week onsite)

Job Travel Location(s):

# Positions: 5

Employment Type: W2

Duration: Long Term

# of Layers: 0

Work Eligibility: All Work Authorizations are Permitted – No Visa Transfers

Key Technology: Java

Job Responsibilities

• Analyze current data processes and make recommendations for improvement based on industry trends and professional business knowledge
• Work directly with team to understand analysis and design needs
• Use a variety of data analysis and organization tools to discover the most impactful
• Implement data products curated by our Chief Data Office, as well as custom data models for fit for use.
• Ensure data quality and integrity across various data sources and systems to ensure data accuracy, completeness, and reliability.
• Optimize data pipelines for performance and scalability.
• Provide technical support to promptly resolve escalated incidents/outages.
• Develop and document a detailed solution design, impart your subject matter expertise throughout life cycle.
• Develop system performance and development standards requirements, then develop functional, technical and designs.
• Build design leverages existing reusable components, traces back to business requirements, and that new modules are designed with reusability in mind.
• Keep up to date with the latest industry trends and technologies related to data engineering.

Skills and Experience Required

Required

• Undergraduate Degree.
• 10+ years of relevant experience as a Business Analyst.
• Experience with Java and Spring.
• Experience with big data tools: Hadoop, HDFS, ADLS, ADF, Spark, Kafka, Databricks.
• Experience with relational SQL and NoSQL databases, including Cassandra.

Desired

• Experience in Python and Scala
• 5+ years of Capital Markets experience.