Data Analyst

Description:

FinClear was established in 2015, with offices now in Sydney, Melbourne and Perth. We are an independent, Australian owned and developed technology and financial services business, specializing in providing trading, execution, clearing and technology solutions to wholesale intermediaries, FinTech’s, wealth managers and financial planners.

At FinClear - Technology and progress are in our DNA. Our Financial Markets infrastructure deals with massive amounts of data and huge volumes of transactions that are executed in real-time to a vast audience. But unlike others, we own our core regulatory and technology infrastructure enabling us to move quickly and build solutions to give our clients the competitive advantage.

We’ve tripled in size since mid-2021 and plan to continue growing with more platforms and services being rapidly developed. That’s where you come in.

Job Description

This is an excellent opportunity for a Data Analyst looking to:

• Join a growing organization
• Be part of a close knit team
• Gain experience working amongst an experienced team

The Data Analyst is part of the Data team whose purpose is to unlock the power of data for both clients and internal stakeholders. They play a key role in identifying, analyzing and providing insights across a range of subjects that adds value to the business.

Working within a team of 3 this role is part of a larger cross functional Technology team of 60 and growing. You can expect to leverage your skills working on some exciting projects across our I broker and Summit applications collaborating with other teams across execution, operations, technology, finance, compliance and more.

Key responsibilities include but are not limited to:

• Preparing, analysing and reporting results from various projects and BAU work.
• Using data analytics and visualisation tools, such as Microsoft SQL, PowerBI / Tableau
• Identifying and interpreting trends and patterns in complex datasets while also assessing and improving data quality.
• Supporting financial statement and performance audits, general audit planning processes and developing models to validate financial and system datasets.
• Promote and educate the use of data across the business.

Required:

• Skills working with data analytics and visualization tools
• A strong understanding of data and its application
• Excellent verbal and written communication skills
• Background in clearing & settlement.