Data Insight Specialist

4 days ago

Perth, Western Australia beBeeData Full time $125,000 - $175,000

Data Insights Specialist

About the Role:

We are seeking a skilled and analytical Data Insights Specialist to drive data-led decision-making across our business. You will work closely with stakeholders to explore complex datasets, build reports, uncover actionable insights, and deliver high-impact analytics solutions that improve performance.

Main Responsibilities:

  • Perform exploratory analysis of large datasets to identify trends, patterns, and opportunities for improvement.
  • Collaborate with stakeholders to understand business challenges and translate them into data-driven solutions including quantification of financial benefits.
  • Collect, clean, and model data from multiple sources to support strategic decision-making.
  • Design, build, and deliver interactive dashboards and visualisations using advanced tools.
  • Monitor and optimise the performance of productionised datasets and analytics models.
  • Create and maintain comprehensive documentation of data models, transformation logic, dataset architecture, and report design to ensure transparency, reproducibility, and effective knowledge sharing.
  • Address ad-hoc data requests and incidents with high-quality, complete, and timely solutions.
  • Leverage advanced data tools to design and implement robust data models to transform raw data into structured, analysis-ready datasets that support accurate reporting and decision-making.
  • Collaborate effectively within a team of data specialists to share knowledge, align on best practices, follow processes, and deliver cohesive, high-quality analytical outputs that support business objectives.

Required Skills and Qualifications:

The successful candidate will be able to demonstrate the following skills and qualifications:

  • Tertiary qualifications in Data Science, Statistics, Computer Science, or a related field.
  • Minimum 2 years' experience in data analysis or a related field.
  • Proficiency in SQL for data manipulation, querying, and modelling.
  • Proficiency in data visualisation tools such as Power BI.
  • Experience with cloud-based solutions such as Snowflake.
  • Strong analytical and problem-solving skills.
  • Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment.
  • Ability to communicate insights clearly to technical and non-technical audiences.

Benefits:

This role offers the opportunity to work with diverse datasets, collaborate with a talented team, and develop expertise in advanced data tools.

Other Requirements:

  • Familiarity with programming languages such as R and Python.
  • Experience working with financial datasets, enabling accurate interpretation and analysis of financial data.
  • Knowledge of statistical analysis and/or machine learning techniques.

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