JOB DESCRIPTION

This position plays a pivotal role in collecting, cleaning and analyzing data to identify trends and insights that can support business decisions both at a regional and global level. Accurate data management and implementing processes to ensure necessary data is captured is crucial as we drive growth across the company. This role also includes the responsibility for visualizing data through reports and dashboards.

QUALIFICATIONS & SKILLS

• Bachelor’s degree from an accredited college or university, preferably in computer science, statistics, mathematics, or related field
• Minimum 3 years’ proven success in the data analytics field, with a strong track record of driving performance and accountability in a fast-paced sales environment.
• Strong understanding of excel and typical ERP systems and programs that can generate data
• Demonstrates exceptional attention to detail, ability to think critically, identify patterns and solve problems using data
• Ability to effectively communicate complex data findings to both technical and non-technical audiences

CORE RESPONSIBILITIES

• Gather, process and analyze data to identify market, product, demographic, geographic and psychographic trends
• Format data into clear, concise reports and visualizations
• Support with Price Management
• Design, maintain and optimize database and business systems to generate accurate and meaningful data
• Cross department support to identify trends, issues and needs through effective data
• Support Australia with Data Analysis as applicable

RESPONSIBILITIES

• Utilize ERP, CRM and other business systems to generate data to identify trends relating to sales, operations, marketing and finance
• Identify areas where Kattsafe can accurately capture necessary data to provide additional data insights and market trends
• Create reports and dashboards for various departments to provide visual clarity and consistent reporting of data as necessary
• Use analytical skills to identify and solve business problems and develop predictive models to forecast future outcomes.
• Support with the management of product pricing to ensure maximum profitability whilst maintaining a competitive balance
• Leverage tools and techniques to support with price management, leading to increased profitability and a competitive edge.
• Stay abreast of industry trends, best practices, and emerging technologies in data analytics.
• Partner with business units to define key performance indicators (KPIs) and metrics.
• Analyze business processes and operations to identify opportunities for improvement.
• Identify and address data quality issues and discrepancies.
• Develop scripts and workflows to automate data collection and processing tasks.