Financial Market Surveillance Data Analyst (Sydney)

Financial Market Surveillance Data Analyst (Sydney)

21 Oct
|
Macquarie Bank
|
Sydney

21 Oct

Macquarie Bank

Sydney

Senior Data Analyst - Contract Role (Sydney) Position: Senior Data Analyst

Location: Sydney

Job Type: Contract Role

Salary & Compensation

Salary Range: $133,348 - 146,945 + super

Base salary: $133,348 base + superannuation

Salary Grade 09/10

Eligibility & Compliance Australian Citizens residing in Australia with Baseline Clearance only respond.

We provide adjustments to the recruitment process for candidates, including individuals with disability.

Essential Functions & Responsibilities

5-7 years of experience in Data Analysis essential with exposure or experience in data Remediation an advantage

Mature judgement and initiative, imagination, resourcefulness and tact

Proven skills in organising, prioritising, problem solving and decision making

Proven high level conceptual, analytical and problem-solving skills, including having a high attention to detail

Sound communication, influencing and negotiation skills

Sound stakeholder management experience and proven ability to liaise at all levels

Ability to turn quantitative and qualitative analysis into business insights, opportunities and solutions

Effective communication of work using Excel, Powerpoint and Word

Extensive knowledge of data extraction and analysis from large customer bases using SQL, Teradata and advanced Excel

Lead data analysis projects for clients and provide data-driven solutions

Work with clients to identify areas for improvement and communicate data insights to both technical and non-technical stakeholders

Lead internal initiatives to develop and improve our data analysis practice

Mentor and train junior data analysts





Continuously monitor and evaluate the effectiveness of data analysis methods and techniques

Reporting and campaign data: Delivery, validation and monitoring of recurring reporting

Prepare campaign data selections and produce forecasts to support next-year planning

Build, maintain and improve Power BI reports and dashboards and action change requests from teams

Validate reporting outputs and investigate discrepancies before information is distributed to stakeholders

Data quality and reconciliation: Own repeatable data quality rules and reconciliation processes

Investigate exceptions and work with data owners to resolve them

Match and reconcile supporter records across systems and support data cleanup

Identify data anomalies such as invalid or automated sign-ups

Work with teams: Gather requirements directly with stakeholders and turn them into clear, well-scoped data products

Explain data trends and limitations in plain language so teams can make informed decisions

Write user guides and technical documentation so that what you build can be used, supported and handed over

Ways of working: Keep all code, report logic and definitions in source control and documented, so no data product depends on one person's knowledge





Handle supporter and personal information securely and in line with ChildFund's privacy obligations

Manage your work with the team, raising risks and blockers early

Key Duties

Reporting, validation and monitoring of recurring reporting.

Prepare campaign data selections and produce forecasts.

Build and maintain Power BI reports and dashboards.

Validate reporting outputs and investigate discrepancies.

Own data quality and reconciliation rules.

Investigate exceptions with data owners.

Match and reconcile records across systems.

Identify data anomalies.

Gather requirements directly with stakeholders.

Explain data trends to teams.

Write user guides and technical documentation.

Keep code and definitions in source control.

Secure supporter and personal information.

Manage work with team, raising risks early.

Qualifications & Experience

Bachelor's degree in statistics, mathematics, computer science, or a related field.

7+ years of experience in a data analyst role, with at least 2 years in a lead or management role.

Solid understanding of statistical analysis and data visualisation techniques.

Proficient in SQL and at least one programming language (Python, R, etc.).

Experience with data visualization tools such as Tableau, Power BI, or QlikView.

Strong problem-solving and analytical skills.

Excellent verbal and written communication skills.

2+ years’ experience in a similar role.

Experience with Telstra mobility plans will be highly regarded.

Advanced Excel skills (essential).

Ability to multi-task and handle a variety of challenging roles.

Exceptio

📌 Financial Market Surveillance Data Analyst (Sydney)
🏢 Macquarie Bank
📍 Sydney

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