Omnidian

Manager

• Forecast workload, volumes, and resource needs across customer support and related service teams
• Analyze and interpret volume and productivity data from Salesforce and BI tools
• Lead the optimization and data integrity of residential forecasting models
• Build and maintain custom capacity plans and headcount reports
• Update capacity plans monthly for accurate resource analysis
• Present monthly headcount and forecast attainment reports to the senior leadership team
• Partner with department leaders to translate new business processes into actionable headcount needs
• Collaborate with BI and Data teams to ensure data accuracy
• Identify and suggest innovative tools or methods to improve forecasting accuracy

Capacity Planning Manager

Sales

• Manage high-volume inbound leads from Google by engaging with residential homeowners.
• Qualify customer interest and provide high-level information on our service offerings.
• Collect and process customer credit card details securely to finalize bookings.
• Schedule site visits and jobs directly into the calendar for the Operations team.
• Coordinate with the Sales and Business Services teams to ensure lead data is accurate.
• Follow up with potential customers who have not yet committed to a schedule.
• Maintain clear records of customer interactions to facilitate smooth handoffs.
• Contribute to a positive team culture by hitting daily outreach and conversion targets.

Sales Officer

Administration

• Handling basic inbound and outbound customer enquiries via phone and email.
• Assisting with appointment scheduling, confirmations, and work order updates.
• Completing data entry and maintaining accurate records.
• Supporting travel bookings and general administration tasks.
• Assisting with office supplies, organisation, and presentation.
• Working closely with internal teams to support service delivery.

Administration Officer

Growth Marketing

• Lead the team to Identify and sign new clients within the Residential & Commercial sector
• Coach, develop, and mentor the Sales team, both individually and as a team
• Hire and onboard new Sales team members (in collaboration with the People team)
• Lead the Sales team to maintain rigor in CRM hygiene and pipeline management
• Collaborate with Marketing and Product Marketing to evolve our approach to Commercial segments, and to reshape Omnidian’s value proposition
• Engage in rapid cross-team collaboration with Client Success, Product, Operations, and other Senior Leadership to develop expanded scopes that meet market demand
• Build industry relationships to create awareness, loyalty and enthusiasm for Omnidian’s comprehensive Performance Assurance solutions in Australia
• Provide revenue and growth forecasts, in partnership with Finance
• Collaborate with the Australian leadership team, sharing insights, engaging in productive debate and discussion, and positively challenging ourselves and each other
• Shape the future of the company through strategic quarterly and annual planning, being a conduit of the voice of the customer and the trends in the market to help influence our focus and investments
• Be a champion and steward of the Omnidian core values and culture (within and beyond the Sales and GTM teams)
• Develop relationships with our largest prospects and clients, engaging where appropriate with senior leaders in our partner companies
• Collaborate with legal, operations and product teams to negotiate contracts

Vice President, Growth

Data Analyst

• Synthesize complex data from the Silver and Gold layers of the Medallion structure to create high-impact reports and dashboards.
• Perform deep-dive analysis on specific metrics to identify trends, anomalies, and opportunities for operational improvement.
• Validate data integrity across the Lakehouse, ensuring that the transition from raw data to analytical outputs is seamless and accurate.
• Partner with business leaders to define Key Performance Indicators (KPIs) and build the underlying logic to track them.
• Translate business requirements into technical specifications for the engineering team to ensure the data warehouse evolves with user needs.
• Optimize SQL queries within Databricks to ensure dashboards and reports remain performant as data volume scales.