Sr. Business System Analyst

Highbrow LLC; Toronto; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

A leading consulting firm in Toronto is seeking a Sr. Business Systems Analyst with over 10 years of relevant experience. The successful candidate will analyze data processes, ensure data integrity, and optimize data pipelines. Proficiency in Java and big data tools like Hadoop and Spark is essential. This role offers a long-term opportunity with a hybrid work model, 2 days on-site each week. Candidates must have an undergraduate degree and experience in capital markets is preferred.

Qualifications

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

Responsibilities

• Analyze current data processes and recommend improvements.
• Work with team to understand analysis and design needs.
• Ensure data quality and integrity across systems.
• Optimize data pipelines for performance and scalability.

Skills

Business Analysis

Data Analysis

Java

Spring

Hadoop

Spark

SQL

NoSQL

Kafka

Python

Scala

Education

Undergraduate Degree

Tools

HDFS

ADLS

ADF

Databricks

Cassandra

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.