Global Planning Analyst at Sea To Summit Pty Ltd

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

05 Sep, 26

Salary

112000.0

Posted On

07 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Power BI, Power Query, SQL, Python, Advanced Excel, Demand Planning, Supply Planning, Inventory Analytics, S&OP, Statistical Forecasting, Machine Learning, Data Analysis, Scenario Modelling, Collaboration, Communication, Adaptability

Industry

Sporting Goods Manufacturing

Description

Company Description Sea to Summit is an award-winning Australian brand in the outdoor industry. We design, manufacture, and distribute innovative, meticulously engineered outdoor equipment for adventures at every altitude. Sea to Summit was established in 1990. As an expanding global brand, we currently have offices in Sydney, Perth, North America, Germany, and China. We are a motivated group of experienced, creative, and forward-thinking professionals. We are connected by our shared passion to create frictionless gear so you can enjoy limitless adventures. Sea to Summit has a brand new opportunity for a Global Planning Analyst to join the team in Sydney. This role is key to building Sea to Summit’s global planning analytics capability and supporting the ongoing S&OP maturity journey. The role improves planning data, reporting, automation and decision support across demand, supply, inventory and NPD planning processes. You will navigate Sea to Summit from a current fragmented, manual planning processes toward a more connected, scalable and insight-led planning environment. It will build trusted planning datasets, automated reporting and Power BI-ready outputs that improve demand visibility, inventory decisions, service performance and working capital outcomes. Working closely with the Global Head of Planning, Planning teams, Commercial, Finance, Chief Technology Officer (CTO), and regional stakeholders, the role will support the development of more advanced analytics capability. This includes using Power BI, Power Query, SQL, Python, statistical forecasting and machine learning concepts to improve planning productivity and create a stronger data foundation for future predictive and AI-enabled planning. Job Description Designing and maintaining planning datasets integrating demand, supply, inventory, sales, product, NPD and regional planning data to improve visibility, consistency and confidence in planning numbers Building and maintaining Power BI-ready dashboards and KPI reporting, partnering with IT/Data teams to enable planning insights to be accessible in Power BI for demand, supply, inventory, working capital, service and S&OP decision-making. Automating data transformation and reporting processes using Power Query, advanced Excel, SQL, Python or similar tools to reduce manual effort, duplicated logic and spreadsheet dependency. Supporting planning master data governance and standard KPI definitions, including SKU hierarchy, product lifecycle status, planning templates, launch data, forecast accuracy, forecast bias, inventory health, service and supply risk indicators Supporting forecasting, demand analytics and scenario modelling by improving visibility of baseline forecasts, forecast overrides, assumptions, customer/channel signals and forecast performance across regions Developing inventory and supply planning analytics to improve visibility of inventory risk, supply constraints, lead times, MOQ impacts, replenishment requirements and working capital trade-offs Maintaining NPD launch and phase-in/phase-out tracking, including run-in/run-out reporting, depletion tracking, launch milestone visibility, inventory monitoring and post-launch review. Partnering with the Chief Technology Officer (CTO) to assess planning data readiness and explore fit-for-purpose AI/ML, predictive analytics and automation platforms for demand, supply and inventory planning at STS. Qualifications Qualifications/ Training Degree in Supply Chain, Business, Data Analytics, Business Analytics, Statistics, Engineering, Computer Science or a related field preferred. Relevant Power BI, analytics or supply chain credentials are advantageous. Experience 3–5 years in supply chain analytics, planning analytics, business analytics, demand/supply planning support or planning transformation. Experience in global, multi-region, seasonal product, retail, FMCG, outdoor, apparel or consumer goods environments is advantageous Strong Power BI, Power Query and advanced Excel capability, with experience building dashboards, automating reporting and combining data from multiple systems into structured planning datasets Strong SQL and/or Python capability, with practical ability to automate, prototype and improve planning reporting, forecasting analytics and decision support Practical capability in forecasting methods, forecast accuracy, forecast bias, inventory analytics, scenario modelling, predictive analytics and machine learning concepts, with ability to apply these in a planning context Strong problem-solving capability with the ability to simplify complex information into clear, commercially relevant insights for planning and business stakeholders Comfortable working in a manual and evolving planning environment while helping improve structure, data discipline, automation and analytics maturity over time Skills Soft/Attitudinal: Collaboration and Communication; Adaptability. Technical: Data analysis; Software proficiency; Planning analytics; Ability to manage multiple tasks or projects in a timely manner. Additional Information Why Join Sea to Summit? Hybrid working from our Sydney office A genuinely good team, in a business where people enjoy the work and the people they work with Generous staff discount on the gear (and the gear is good) The chance to be part of a global outdoor brand that's growing internationally while keeping its roots in Australia Sea to Summit is an equal opportunity employer. We welcome applications from people of all backgrounds and lived experiences. If you need any adjustments to the recruitment process, let us know and we'll work with you. Compensation: AUD 100000 - AUD 112000 - yearly

Responsibilities

The role focuses on building global planning analytics capabilities by automating reporting and improving data visibility across demand, supply, and inventory processes. It involves designing Power BI dashboards and partnering with the CTO to implement AI/ML and predictive analytics for planning.