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.
- Strong 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.
- Solid 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 E
📌 Financial Market Surveillance Data Analyst (Sydney)
🏢 Macquarie Bank
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