Reporting & Data Analyst

Melbourne, VIC, Australia

TAL

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Company Description

  • Join a team of experts, and be a part of our collaborative culture 
  • We value flexibility, and give our people choices to balance work-life commitments 
  • Our modern offices are centrally located, with an onsite gym 

 Welcome to TAL. As a leading life insurer, we’ve been protecting Australians for over 150 years. Backed by Dai-ichi Life, we're driven by big ambitions and empowered to create better products and services.  

Together with our Partners, we’re helping millions of Australians live a life filled with choices, options and freedoms. See the direct impact you make delivering support and financial security with care and expertise.  

Grow beyond expectations with diverse roles, global connections and exclusive learning opportunities. Work with passionate, bright and capable colleagues. Feel inspired by supportive leaders. Collaborate with heart, where flexibility, wellbeing and inclusivity is valued. Together, we're reimagining insurance. 

So, bring a curious mind and an ambition to help us become the progressive, digitally-enabled leading insurer. 

Job Description

Please note this is a 12 month Fixed Term contract

The Reporting and Data Analyst plays a crucial role by transforming raw data into meaningful insights that drive decision- making. The primary responsibilities include collecting, analysing, and interpreting data from various sources. They create detailed reports, visualisations, and storytelling to highlight key metrics and trends, making complex data more accessible and understandable for stakeholders. This role often involves working with tools like SQL, Excel, and data visualisation software such as Tableau and/or Power BI.
In addition to reporting, data analysts delve deeper into the data to uncover patterns and insights that can inform strategic decisions. They perform tasks such as data cleaning, data mining, statistical analysis, and predictive modelling. By interpreting data within the context of business objectives, they help to identify opportunities for improvement, optimise operations, and predict future trends, while maintaining a focus on data governance and quality.

Key Responsibilities:

 

Data Governance

  • Understanding of data policies, standards, and regulations.

Data Quality, Integration and Management:

  • Data Mining: Skills in extracting patterns and insights from large datasets.
  • Data Collection: Gather data from various sources, including databases, APIs, and flat files.
  • Data Cleaning: Ensure data quality by cleaning and preprocessing data to remove inconsistencies and errors.
  • Data Warehousing: Design and maintain data warehouses to store and organise large volumes of data.

Data Architecture

  • Knowledge of data structures, databases, and storage solutions.
  • BI Solutions: Develop and implement BI solutions, including dashboards, reports, and data visualisations.
  • ETL Processes: Design and manage ETL (Extract, Transform, Load) processes to ensure data is accurately and
  • efficiently moved from source systems to data warehouses.

Reporting and Visualisation:

  • Dashboard Creation: Create interactive and user-friendly dashboards using tools like Power BI and/or Tableau.
  • Data Storytelling: the ability to communicate your insights through compelling narratives.
  • Report Generation: Develop reports that provide actionable insights to stakeholders, helping them make informed decisions.
  • Data Visualisation: Use data visualisation techniques to present complex data in an easily understandable format.

Agile Practices

  • Demonstrate the success of a product release, encompassing a shared understand of finished quality product.

Drives Results

  • Organises workload and priorities to adhere to agreed timeframes and service standards.
  • Explores alternative solutions to improve effectiveness and productivity within the team.
  • Makes informed and timely decisions when appropriate, weighing up risks and outcomes using sound risk
  • awareness and management practices.

Qualifications

  • 5+ years of reporting and data analytical experience working in the same or similar role in a financial services or life insurance company desirable.
  • A Bachelor’s degree Tertiary qualification in Business, Computer Science, Information Technology, Economics, or
  • related discipline or equivalent.
  • Strong knowledge of Visualisation Tools – e.g., Power BI and or Tableau
  • Data Analytical skills within a large data driven organisation, including data concepts, such as: Data Governance, Data Quality and Data Architecture, Data Mining techniques, Data Storytelling. Data Ethics
  • Strong knowledge of BI Tools within an organisation including: Creating custom visualisations using advanced features or programming; Building complex data models and relationships; Optimising reports and dashboards for performance.
  • An understanding of programming languages such as Python, R, SQL, and general coding.
  • Commercially astute and a strong customer focus.
  • Excellent Communication, Problem solving, Critical Thinking and networking/relationship management skills.
  • Good working knowledge on Agile practices and Project Management
  • Basic understanding of design principles and their application, principles like balance, contrast, alignment, and
  • proximity. Applying these principles to simple projects.
  • Understanding the importance of identifying potential risks and the basic methods for assessing these risks.

Additional Information

TAL is one of Australia’s leading life insurers, committed to inclusion, and supporting the career growth of our diverse workforce. We’re proud to be:  

  • An Inclusive Employer – Recognised as Employer of Choice for Gender Equality by the Workplace Gender Equality Agency and Bronze Tier Status within the Australian Workplace Equality Index  

  • Diversity Champions – Member of Diversity Council Australia, Australian Disability Network, Pride in Diversity and Champions of Change  

We welcome applications from people with diverse experiences, perspectives and backgrounds including Aboriginal and Torres Strait Islander people, caregivers, individuals living with disabilities, people from culturally diverse backgrounds and the LGBTIQ+ community.  

Need adjustments during the recruitment process? Let our team know by getting in touch with us here.—we’re here to support you. 

Everyone at TAL has a responsibility to do the right thing and is accountable for the way they conduct themselves. Our expectations are that you follow the principles set out in our Code of Conduct when you come to work every day. Risk management is everyone’s responsibility.

If you are already a TAL employee please apply via the SmartRecruiters button in Workday and navigate to the Employee Portal. This is important to ensure that your application is recorded accurately.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Agile APIs Architecture Computer Science Data governance Data Mining Data quality Data Warehousing Economics ETL Excel Power BI Python R Security SQL Statistics Tableau

Perks/benefits: Career development Flat hierarchy Insurance

Region: Asia/Pacific
Country: Australia

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