Python Job: Data Analyst

Job added on

Company

FinClear

Location

Melbourne - Australia

Job type

Full-Time

Python Job Details

Company Description


Who we are:

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.

Qualifications


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.

Bonus points for:

  • SQL and/or python skills
  • Experience working with Tableu
  • Having done a similar position

Additional Information


What are the ingredients to our secret sauce?

That’s our people and the technology solutions we create, as the business grows, we are also evolving our benefits to one that our people love!

Benefits:

  • A team that is invested in the success of FinClear and a generous ESOP for all our employees
  • 16 Weeks of gender neutral paid parental leave
  • A flexible work environment - we have fantastic new offices where we come to collaborate and have those face-to-face meetings with some days at home
  • An inclusive and diverse working environment for all
  • Prioritise mental health with all our staff having free access to our EAP programme including 1:1 session with qualified coaches and psychologists
  • E-Vehicles – Salary Sacrifice

Ready to apply?

If this sounds like something you might be interested in, submit your application by selecting “I'm Interested” or "Apply".

Alternatively :

  • To refer a friend, select "Refer a friend"
  • For More information about FinClear, visit our Careers page https://finclear.com.au/careers
  • Any additional queries Email : [email protected]

Please note :

  • Applications will be reviewed w/c 9/06/2023
  • Rights to legally work in Australia is a must to be considered for the immediate opportunities at FinClear, (sponsorship options are currently not an option)