Role DescriptionWe are seeking a detail-oriented and analytical Data Insights Analyst to support business decision-making by transforming raw information into transparent, meaningful, and actionable insights. This role focuses on collecting, organizing, validating, and analyzing data to identify trends, performance patterns, opportunities, and areas for improvement across different business functions.

The successful candidate will work with data from spreadsheets, databases, business applications, customer platforms, operational systems, and other internal sources. You will assist with data collection, cleaning, validation, transformation, and organization while ensuring information is accurate, consistent, and suitable for analysis.

The role involves preparing regular and ad hoc reports, dashboards, data summaries, and visualizations that help stakeholders understand business performance. You will monitor key performance indicators (KPIs), compare results against established targets, identify unusual patterns, and communicate relevant findings to appropriate teams.

You will support business teams by answering data-related questions and conducting analysis based on specific business requirements. Responsibilities include identifying relevant datasets, performing basic statistical analysis, comparing historical and current performance, investigating discrepancies, and translating analytical findings into clear business insights.

The position requires collaborating with teams such as finance, sales, marketing, operations, customer service, and management to understand reporting requirements and develop useful analytical solutions. You will participate in data-driven projects, process improvement initiatives, performance reviews, and business planning activities.

You will assist with developing and maintaining dashboards using business intelligence and visualization tools.



Responsibilities may include creating charts, tables, trend analyses, KPI reports, and automated reporting solutions that make complex information easier for stakeholders to understand and use.

The role also involves monitoring data quality and identifying missing, duplicated, inconsistent, or inaccurate information. You will document data issues, support data cleansing activities, and communicate potential quality concerns to relevant teams.

You will use analytical tools and technologies to improve reporting efficiency and reduce repetitive manual processes. The role encourages the use of SQL, Excel, Power BI, Tableau, Python, automation platforms, artificial intelligence tools, and other modern data technologies where appropriate.

You will maintain clear documentation of data sources, reporting definitions, analytical methods, dashboard logic, and business metrics. Strong attention to detail, curiosity, problem-solving ability, and communication skills are essential for turning data into practical insights that support better business decisions.

Qualifications

- Strong understanding of basic data analysis, business intelligence, reporting, and data visualization principles.
- Proficiency in Microsoft Excel, including formulas, pivot tables, charts, lookups, and basic data analysis functions.
- Basic knowledge of SQL for querying, filtering, and retrieving information from databases.
- Familiarity with Power BI, Tableau, Looker, or similar business intelligence and visualization platforms.




- Understanding of data cleaning, validation, organization, and quality control processes.
- Basic knowledge of statistics, trend analysis, performance measurement, and data interpretation.
- Ability to create clear reports, dashboards, charts, tables, and data summaries.
- Strong analytical and logical thinking skills with the ability to identify patterns, trends, and inconsistencies.
- Ability to translate business questions into structured data analysis and reporting requirements.
- Strong attention to detail and commitment to data accuracy and consistency.
- Good written and verbal communication skills with the ability to explain data findings clearly to non-technical stakeholders.
- Strong organizational and time management skills with the ability to manage multiple reporting tasks and priorities.
- Ability to collaborate effectively with business, finance, marketing, sales, operations, and technology teams.
- Familiarity with Python, R, data visualization libraries, databases, APIs, or cloud data platforms is advantageous.
- Understanding of data privacy, information security, data governance, and responsible data handling practices.
- Ability to learn new analytical tools, business systems, reporting platforms, and technologies quickly.
- Familiarity with artificial intelligence, automation, and AI-assisted analytics tools is advantageous.
- Strong problem-solving mindset with a willingness to investigate data issues and identify practical solutions.
- Curiosity and enthusiasm for learning, exploring data, and discovering actionable business insights.
- Professionalism, accountability, adaptability, and commitment to producing accurate and useful analytical outputs.
- Ability to work effectively in a collaborative environment while maintaining a structured and detail-oriented approach to data analysis.

📌 Data Insights Analyst (Remote, Entry-Level) (Australia)
🏢 Employment News Job Updates
📍 Australia