The Senior Finance Business Intelligence Analyst will be responsible and accountable for playing a key role in driving the successful use of amaysim’s Business Intelligence systems and tools for the Finance team to enable effective month end and quarterly financial reporting and business insights for forecasting and budgeting purposes. This includes correct reporting of revenue recognition and cost amortisation in accordance with Accounting standards. Acting as an engagement conduit of data and reporting on behalf of Finance teamDeveloping detailed and digitalised reports to support month end, forecasting and budgeting process including commissions reporting, data banking utilisation and analysis and revenue recognition in accordance with Accounting standardsProvide insightful advice to amaysim Finance on data, analytic principles, analytic strategies, system and processesTranslating business and Finance relevant questions to data and analysis requirements; carry out analysis, visualisation and presentationProactively perform ad-hoc analysis to solve business problems and support decisions and reporting for the Finance team What makes you perfect for the role? Data Analytics, Data science, Business Analytics particularly in an organisation that has a subscription customer base and digital marketing optimisation or with a supplier that works with such a clientTertiary qualification in computer science, business or related disciplineExperienced in finance report and revenue recognition developmentData Wrangling: demonstrated experience in end-to-end data analysis solutionStakeholder management, being able to work collaboratively with technical and non-technical stakeholders to achieve high quality deliverables driven by dataHigh attention to detail for data integrity and ability to track down data inconsistencies

I Currently play a crucial role in analyzing complex data sets and transforming them into practical insights. My expertise is vital in understanding customer behavior, market trends, and operational performance, enabling the company to make informed and strategic decisions to enhance customer experience, optimize operations, and drive revenue growth. I Collaborate with cross-functional teams, including Marketing, Product Development, Customer Service, and Finance, to ensure that data-driven insights are applied to improve overall business performance.Supporting all areas of the Data Analytics function at amaysim, including – but not limited to – Senior Leadership team query response, future team management, coaching and mentoring others.Working with sales and marketing teams, with a strong analytical mentality, consulting, client management experience who can come up with ideas to answer the challenges coming from our customers.Proven experience in Data Analytics, particularly in an organisation that has a subscription customer base and digital marketing optimisation or with a supplier that works with such a client.Degree qualified in a relevant field, e.g., Statistics, IT, Commerce, Operational Research, MarketingData Wrangling: demonstrated experience in end-to-end data analysis solution.Advanced programming in SQLMS Office skills (Excel, Word, PowerPoint in particular)Cloud Data warehousing: snowflake, Google Big QuerySophisticated reporting and dashboard experience (Tableau, Power BI)Workflow-driven analytics experience (Alteryx)Agile training / experienceProblem solving skills (applying technology to solve business challenges)Innovative attitude – question the status quo and come up with new ideas and ways of working

• To support store teams in fraud reduction through utilising Fraud Analytics systems to uncover and investigate internal issues.• Utilise available fraud and reporting systems, CCTV, as well as on-site observations, checks and audits to detect and address fraudulent team member behaviour • Ensure that investigations undertaken are conducted safely and legally (including correct case management) in accordance to legislation and company policy. • Present investigations to P&C and line managers in order to take appropriate disciplinary action• To provide the business with insight/reporting into internal (and some external) activity causing loss to stores• Liaise with external bodies to address criminal impacts and act as point of contact for law enforcement agencies

I applied my IT and data skills to assist the stock loss team to identify, analyse and investigate suspicious transactions, high loss lines, KPI drivers and fraudulent activities achieving a reduction in loss to business.• Conducting analysis and investigating suspicious issues, trends, drivers of fraud.• Where fraud loss was identified - overseeing, reviewing, assisting in investigations to determine the cause and implementing strategies to remediate fraud.• Developing and delivering business reporting to ensure transparency of fraud matters, make action plans and achieve savings.• Reviewing business processes to identify gaps and ensure relevant alerts and triggers were implemented and monitored to minimise financial and stock loss risk.• Providing expertise and advice to a range of stakeholders including operations, commercial, legal and the Woolworths Group investigations team.• Maintaining current high level of knowledge of all aspects of retail fraud through self-directed professional development and situational scans. KEY ACHIEVEMENTSAchieving 20+ times my salary returned to the company as profit through investigating and reducing fraudulent behaviour by external and internal customers.End to end build, implementation, and maintenance of QLIK reporting system to streamline access, information, analysis for Stock Loss Partners to self-serve. Key reports being refunds, self-serve, receipt validation, KPI metric reports.Data design, implementation, and continuous improvement review of linkage between tender tokens and loyalty programs. Being able to link to transaction history to review customer shopping patterns and behaviour enables the review required to identify suspicious and fraudulent behaviour.Significant contribution to standing up and development of RAPID, a system to convert reports and insights from QLIK to a self-serve system. Adding a guided CCTV download in RAPID achieving substantially faster access to data than previously available.

• Using Teradata to mine customer insights from retail data, augmented with data from other sources.• Consulting with business partners to provide analytical insight to inform strategic priorities.• Training Quantium team members how to use data information systems to be able to source the correct data for the analysis they needed to undertake in their respective roles.• Managing prioritisation of a high volume of requests for analytical data to ensure urgent data requirements were achieved to meet short deadlines.

Assisting with building systems to provide key customer information and help the business understand the needs and behaviour of customers to implement action plans. Key reports and functionality I contributed to: - Gains and loss - Trial and repeat - Time of Day Day of Week (TODDOW)- Repertoire - Customer Segmentation - KPI reports• Provision of Tableau reports to business users for independent completion of analysis and implementation of action plans.

• Managing a replenishment team responsible for importing and managing the flow of stock from overseas to Australian docks and the domestic logistics to move stock into stores in timeframes to meet customer demand while keeping costs to a minimum.• Ensuring the fast tracking of priority high volume selling goods to avoid stock outages at point of sale.• Building systems to improve the flow of stock into the warehouse to avoid overstocking docks that impacts the distribution centre’s ability to operate.

Identifying and communicating to executive management the areas impeding the efficient flow of stock through the distribution and store networks.KEY ACHIEVEMENTDesigning, building, implementing a system that included many sources of information from disparate databases and processes to allow the business to understand the capacity of the network and combine this with the forecast from the AutostockR and StockSmart systems.This enables identifying where breaches of network capacity currently exist and the ability to forecast future network capacity issues are likely to occur to afford the business time to be able to take preventative action to rectify breaches or smooth demand.

Provide reports and analysis of the inventory positions and manage teams to provide the optimal solution of stock flow through the replenishment network.

Providing key inventory support to buying and replenishment teams.Managing and resolving day to day business challenges efficiently, mainly within the seasonal teams, allocations teams and replenishment teams.

Providing key reports to buying teams and replenishment teams on inventory.Key reports setup were OOS reporting and the ability to add comments on whySOH reporting Inbound and outbound service levelsReplenishment Portal - a one stop shop for all replenishment reporting

Providing key reports to buying teams and replenishment teams on inventory.Key reports setup were OOS reporting and the ability to add comments on whySOH reporting Inbound and outbound service levelsReplenishment Portal - a one stop shop for all replenishment reportingAlso responsible for managing core teams:Seasonal teams Allocations teamsReplenishment teams

Provided input, analysis and development in building a system - AutoStockRInvolved in setting up forecasting and insuring the operational value was achieved.Provide design input and business requirements to IT personnel and work collaboratively to past the proof of concept stage. Now the foundation of the replenishment system within the business.

• Providing reporting to executive management for them to make business and financial decisions using reliable current data.Key reports included:- Weekly sales reports - Area managers reporting - Key event reporting• Participating in the budgeting for store sales and wages.• Maintaining database to ensure accuracy and efficiency of reporting systems.• Creating road show presentations and providing presentation and tech support to presenters.• Creating customer store maps and distributing to stores.

• Stock movement from point of delivery to dock, storage, replenishing stock to shelves, and stock rotation.• Customer service responding to enquiries relating to stock location.• Coordinating and managing Monday morning shift.