Nitis Sinananpat Email & Phone Number

Sydney, New South Wales, Australia

Sydney, New South Wales, Australia

+ Generate monthly reports to analyze and provide actionable insights on received and settled claims, delivering key findings to the CEO and National Claims Manager to inform strategic decisions.+ Collaborate with KPMG to correct analytical numbers to perform quarterly report to present to CEO and National Claims Manager. + Conduct in-depth analysis of historical data to create targeted ad-hoc reports, supporting data-driven claim strategies.+ Develop and design automated reporting tools in FileMaker Pro, enhancing the efficiency of team members and enabling more effective claim analysis.+ Resolved issues promptly for the team, ensuring uninterrupted workflow and the smooth execution of work initiatives.

Macquarie Park, New South Wales, Australia

+ Generate analytical reporting and insights into product sales performance for the category teams, and management teams. + Create and automated daily weekly, and monthly reports using Power BI to visualise product sales, contract sales, gross margins, and top customers resulting in 50% faster report creation and improved visual appeal. + Present BI reporting to senior product managers for sales growth, tracking product performance against the yearly budget. + Collaborate with cross-functional teams to understand reporting requirements and deliver customised solutions. + Design and implement data models and structures to support reporting, dashboards, and analytics needs. + Streamline the data extraction process by developing software templates for Pivot, Power BI, and SQL, resulting in 50% faster report delivery. + Train and support team members to independently use Power BI and access data, resulting in 25% improved team efficiency. + Perform the analysis of Quarterly Business Reviews (QBR) including historical YOY data in financial years, FYTD, quarters, regions, and DIFOT for business development and strategies for discussions with suppliers. + Analyse historical pricing and commodity data (S&P Global Platts) against financial impact with a cost increase summary and recommendations to support product managers and category managers for supplier negotiations to reduce costs and increase profits.

Sydney, New South Wales, Australia

+ Extract data from the database (Flight Deck) to manipulate data, cleanse data and categorise data for data insights.+ Analyse data (keywords) to find valuable insights and present the high numbers of search volume, dashboards from data categories for yearly content plans.+ Create monthly reports and dashboards by utilising Advanced Excel, Google Sheets and Data Studio and present insights to clients.+ Research articles and topics to understand the client’s markets and trends and update data based on high numbers of search volume.+ Build strong relationships with your immediate team, internal stakeholders and the wider group.

Sydney, New South Wales, Australia

+ Analysed customers and values of bicycles and cycling accessories to gain data quality and a further marketing strategy.+ Cleansed and managed 4 datasets of 4,000 customers and 20,000 transactions for data quality assessment using Excel functions.+ Retrieved data from customer demographic corresponding customer ID using VLOOKUP.+ Crunched data to reveal helpful customer insights by utilising pivot tables.+ Analysed the datasets to categorise 10 customer segments using the RFM Value formula and identify what all customers make values differently for the company.+ Recommended top 1,000 customers in 4 customer segments that the client would target to make higher values. + Prepared a report to reflect problems and recommendations to the client, identifying data quality concerns.+ Performed dashboards to present data summary and results of the analysis that supported the marketing team to optimise strategies.

Bangkok Metropolitan Area

+ Crafted and manipulated the tables and data within the database for enhanced warehouse operation.+ Collected, cleansed, and processed raw data, ensuring accuracy and completeness before loading the data into the data warehouse.+ Implemented ETL processes to extract, transform, and load data from diverse sources.+ Collaborating with the management team to interpret the product data and make data-driven decisions. + Designed and developed BI detailed reports and dashboards to visualize marketing data trends and insights. + Utilised data analysis to identify consumer trends & behaviours, to achieve sales for yearly plans & event activities. + Created monthly reports with insights into customers and regions and tracked sales performance against budgets for sales teams. + Trained junior members on the use of the ERP system and data process.

Master'S Degree, Information Technology Major In Data Analytics

Activities and Societies: + Participated in AI & Data Science UTS Society + Volunteered as an Event Consultant in Robot Cup 2019 + Worked.

Bachelor'S Degree, Business Administration Major In Marketing

Activities and Societies: + Vice President of Student council (1 Year), + Basketball player (1 Year), + Head of people activity club (4.

Data Science

+ Probability, Statistics and other Mathematics (Matrix, Scalars and Vectors, Algebra) + Python from Basics to Intermediate (Numpy.

High School

Activities and Societies: + High School Soccer Goal Keeper