Spatial Data Analyst (Graduate Role) - Interviewing Now!

EBR; Sydney; Remote; AUD 110,000 - 170,000; Full time

Benefits offered by this job

Health benefits

Flexible working arrangements

Career growth opportunities

Job summary

EBR is seeking a Data Analyst to transform high-velocity data into clear financial insights that inform and strengthen trading strategies. Working with real-time data pipelines built on Kafka, RabbitMQ, and ClickHouse, you will help ensure that P&L reporting and trading analytics are accurate, timely, and actionable.

Positioned at the intersection of engineering and finance, this role requires strong technical and analytical capabilities, along with a solid understanding of financial markets.

Qualifications

• University degree in a quantitative field.
• Experience in finance/fintech with trading data.
• Advanced SQL knowledge for OLAP databases like ClickHouse.
• Strong Python skills for data manipulation and automation.
• Experience with data visualization tools for real‑time data.
• Ability to convey findings to technical and non‑technical stakeholders.
• Detail-oriented with governance compliance.

Responsibilities

• Develop and maintain automated PnL reporting from real-time streams.
• Conduct deep-diving trading analytics to identify patterns and impact.
• Write and optimise complex SQL queries for large datasets.
• Collaborate with stakeholders to define KPIs for trading desks.
• Monitor data quality and ensure compliant financial reporting.
• Use Python to automate analytical tasks.
• Design data models to support high-frequency reporting.

Skills

SQL

Python

Data Visualization

Stakeholder Communication

Attention to Detail

Education

Bachelor's degree in Finance, Economics or Computer Science

Tools

ClickHouse

OLAP Databases

Airflow

dbt

Git-based workflows

Power BI

Job description

We are looking for a Data Analyst to transform high-velocity data into clear financial insights that inform and strengthen our trading strategies.

Working with real-time data pipelines built on Kafka, RabbitMQ, and ClickHouse, you will help ensure that P&L reporting and trading analytics are accurate, timely, and actionable. Positioned at the intersection of engineering and finance, this role requires strong technical and analytical capabilities, along with a solid understanding of financial markets.

Responsibilities

• Develop and maintain automated PnL reporting frameworks that pull from real-time data streams.
• Conduct deep‑diving trading analytics to identify execution patterns, slippage, and market impact.
• Write and optimise complex SQL queries in ClickHouse to handle large‑scale financial datasets efficiently.
• Collaborate with stakeholders to define and implement key performance indicators (KPIs) for various trading desks.
• Monitor data quality and integrity across the pipeline to ensure financial reporting remains compliant and accurate.
• Use Python to build robust data processing scripts that automate repetitive analytical tasks.
• Design data models and schemas that specifically support high‑frequency reporting and business objectives.

Requirements

• University degree in Finance, Economics, Computer Science, or a related quantitative field.
• Prior experience working within the finance or fintech industry, with an understanding of financial instruments or trading data.
• Advanced SQL knowledge and experience with OLAP databases like ClickHouse.
• Strong programming skills in Python for data manipulation and automation tasks.
• Experience with data visualisation tools to represent real‑time data effectively.
• Ability to convey technical findings clearly to both technical and non‑technical stakeholders.
• Detail‑oriented mindset with a focus on data accuracy and compliance with governance policies.

Nice to have

• Exposure to ClickHouse (or another columnar/OLAP store – Druid, BigQuery, Snowflake)
• Airflow or similar orchestration, dbt, Git‑based workflows
• BI tooling (Superset, Metabase, Power BI, Grafana)

Benefits

• Competitive salary and performance‑based bonuses.
• Opportunities for career growth and development within a global company.
• Collaborative and inclusive work environment with exposure to cross‑region operations.
• Health and wellness benefits.
• Flexible working arrangements.

Job Details

Contract: 12‑month fixed‑term

Location: Remote (eligible for remote work)

Salary: Competitive and performance‑based

Hours: Full‑time, flexible work schedule

Benefits: Includes health, wellness and flexible working arrangements.