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Data and Systems Specialist

Salary undisclosed

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- Handle manual data tasks and create automated workflows.
- Build reports, analyze business metrics, and visualize data effectively.
- Optimize business processes and manage product data.
- Use automation tools to improve efficiency across the business.
- Be adaptable, detail-oriented, and proficient with various technologies.

Skills and Software Capabilities:
Google Sheets (including scripts)
Microsoft Excel (including VBAs and Macros)
SQL and databases
Data Handling (Collection, Cleaning, Modelling)
Report Building
Business Metrics Interpretation
CRM Data Management
Shopify Product and Data Management
Airtable
Python
Data Analytics and Statistical Tools (e.g., Google Analytics, R, SAS)
Data Visualisation Tools (e.g., Power BI, Tableau, Google Data Studio)
APIs and Automation Tools (e.g., Zapier, Power Automate)

Key responsibilities and Regular tasks:

Gather and compile data from multiple sources, including databases, spreadsheets, and other data collection systems.
Clean, organise, and validate data to ensure accuracy and completeness.
Develop dashboards, reports, and visualisations to communicate findings to tea m me mbers.
Automate routine data-related tasks such as data entry, report generation, and data updates using tools like Excel macros, Python scripts, or other automation tools.
Work closely with other tea m me mbers to support data entry and ad-hoc tasks.
Invoice / inventory uploads (ARMS, Lightspeed POS)
POS systems support (ARMS, Lightspeed POS)
Google sheets metrics and report creation (including scripts)
Excel metrics and report creation
Shopify data handling
Metrics and data analysis

Working hours:

Part time initially, moving to full time hours after the training period has concluded- must be able to work across AEST business hours.

Please send your resume, cover letter and portfolio to [email protected]