ANZ Bank Data Analyst – Apply Today

🏢 ANZ Bank📍 Maili, Waianae💼 Full-Time💻 On-site🏭 Financial Services💰 75,000 - 95,000 per year

About Company

ANZ Bank is one of Australia’s and New Zealand’s largest banking and financial services groups, with a growing presence across Asia and the Pacific. We’re committed to building a diverse and inclusive workplace where our people feel valued, supported, and empowered to contribute their best. At ANZ, we believe that understanding our customers’ needs is paramount. We leverage cutting-edge data, technology, and insights to create innovative financial solutions that help individuals, families, and businesses thrive. Our culture fosters innovation, collaboration, and continuous learning, providing ample opportunities for professional growth and making a tangible impact. Join a team dedicated to shaping the future of finance and improving the financial well-being of our communities.

Job Description

We are seeking a highly motivated and detail-oriented Data Analyst to join our dynamic team in Maili, Waianae. This pivotal role is crucial for transforming complex raw data into actionable insights that drive strategic business decisions across various functions. As a Data Analyst at ANZ Bank, you will be instrumental in supporting departments such as customer relations, risk management, and product development by providing comprehensive data analysis and insightful reporting. Your responsibilities will include identifying emerging trends, evaluating performance metrics, and forecasting future outcomes, directly contributing to our operational efficiency, customer satisfaction goals, and overall business growth. The ideal candidate will possess a strong analytical mindset, advanced proficiency in data manipulation and visualization tools, and an unwavering commitment to data integrity and accuracy. This is an exciting opportunity to contribute to a leading global financial institution and grow your career in a supportive, challenging, and forward-thinking environment.

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Key Responsibilities

  • Collect, clean, and interpret large datasets from various internal and external sources to identify patterns, trends, and anomalies.
  • Design, develop, and maintain interactive dashboards, reports, and data visualizations to communicate key insights effectively to diverse stakeholders, including senior leadership.
  • Perform in-depth statistical analysis to understand business performance, identify root causes of issues, and formulate data-driven recommendations for process improvements and strategic initiatives.
  • Collaborate closely with business units to thoroughly understand their data requirements and translate complex business questions into precise technical specifications and analytical approaches.
  • Ensure the highest level of data quality, consistency, and accuracy across all reporting and analytical activities, implementing robust validation processes.
  • Support the evaluation, implementation, and optimization of new data management tools, systems, and analytical platforms.
  • Actively contribute to the ongoing improvement of data analytics methodologies, best practices, and knowledge sharing within the team.
  • Present findings, insights, and strategic recommendations clearly and concisely to both technical and non-technical audiences, fostering data literacy.

Required Skills

  • Proficiency in SQL for complex data extraction, manipulation, and querying
  • Demonstrable experience with data visualization tools (e.g., Tableau, Power BI, Qlik Sense)
  • Strong analytical, critical thinking, and advanced problem-solving skills
  • Excellent written and verbal communication, and interpersonal abilities for effective stakeholder engagement
  • Solid understanding and practical application of statistical analysis techniques
  • Proven ability to work independently, manage multiple priorities, and collaborate effectively within a team environment
  • Meticulous attention to detail and an unwavering commitment to data accuracy and integrity

Preferred Qualifications

  • Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Information Systems, or a related quantitative field
  • Minimum of 2 years of experience in data analysis, business intelligence, or a similar role within the banking or financial services industry
  • Proficiency in programming languages like Python or R for advanced data analysis and automation
  • Experience with big data platforms and technologies (e.g., Hadoop, Spark)
  • Foundational understanding of data governance principles and data warehousing concepts

Perks & Benefits

  • Highly competitive salary package and performance-based bonuses
  • Comprehensive health, dental, and vision insurance plans for employees and their families
  • Generous paid time off, including vacation, sick leave, and public holidays
  • Robust 401(k) retirement plan with attractive company matching contributions
  • Extensive opportunities for professional development, training, and career advancement programs
  • Employee wellness programs focused on physical and mental health
  • Access to exclusive employee banking benefits and financial services discounts
  • A supportive, inclusive, and collaborative work environment that values innovation and growth

How to Apply

Interested candidates are encouraged to take the next step in their career by clicking on the application link below. Please ensure your resume and a compelling cover letter highlight your relevant experience, technical proficiencies, and explain why you are an ideal fit for this Data Analyst role at ANZ Bank. We look forward to reviewing your application and potentially welcoming you to our team.

Apply Now

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