**OVERVIEW**:
- Working closely with the GM, Sales, Marketing & Finance team, the role provides analytical support to enhance decision making, measuring business performance in the market place, measuring impact of marketing operational plans and assist delivery on commercial planning processes and outcomes.
**MAIN RESPONSIBILITIES**:
**Operational**:
- Collect, analyze, and maintain sales performance reports.
- Create visualizations and dashboards to present data using Power BI and Excel to support the sales and marketing team.
- Assist in market analysis in the sales and development of products or services.
- Identify, develop and incorporate data sources to analyze and determine purchasing habits to predict and recommend future trends and behaviors for the commercial team.
- Develop smart processes and systems to provide visibility and insights into the business to drive focus on opportunities.
- Support the management of pricing, tenders and contracts.
- Work closely with sales and marketing to identify opportunities to improve margins.
- Prepare reports and presentations for senior management, providing insights and recommendations.
- Collaborate with cross-functional teams, including sales, marketing, finance and commercial excellence, to support project management, develop pricing strategies and promotional plans.
- Support the development and implementation of business plans and strategies.
- Support commercial team on new product launch/business development, market modelling & alignment of market intelligence information.
- Lead and drive consistency in analytics around market size, revenue and growth - be able to align and work closely with GM, Commercial & Finance team.
- Evaluate new business opportunities, new products and spending initiatives by modelling alternative financial scenarios (e.g. revenues, margin, cost etc.).
- Perform ad hoc analysis and provide support for special projects, as needed.
**Internal Systems and Processes**:
- Comply with ARDx's Quality Management System policies, procedures, work instructions and forms.
- Ensure that all activities comply with the quality management system and the requirements of ISO9001.
**Customers**:
- Strong interpersonal communication skills.
- Highly competent oral and written communication skills.
- Highest levels of integrity and diplomacy.
- Capacity to maintain the highest levels of confidentiality internally and externally.
**Financial**:
- Seek approval for expenses in line with department specific authorization levels.
**People Management and Development**:
- No people management responsibilities
- Responsible and accountable for own work and follow-up meetings with line manager as required.
- Undertake training and development as required.
**Conduct**:
- Ensure all activities carried out by self are in accordance with legislative employment policies, health & safety requirements and corporate policy.
- Promote a standard of excellence for quality and customer focus at Abbott.
- Uphold Abbott's Code of Business Conduct.
- Live our Abbott Values - Pioneering, Achieving, Caring, Enduring.
**QUALIFICATIONS AND EXPERIENCE**:
**Essential**:
- A Bachelor's degree in Data Analytics, Accounting, Finance, Statistics, or Economics
- 5+ years of experience in Business Analytics or Finance
- Innovative thinking and analytical knowledge for assessment and interpretation of data
- Strong interpersonal skills: the ability to work with senior management.
- Exposure to business intelligence tools like Power BI and Tableau
**Desirable**:
- Master's in Business Administration or a similar field.
- Corporate finance knowledge, budget management training, and research skills.
**Competencies and Attributes**:
**Operational**:
- Analyze data, create reports, and communicate findings.
- Speed and high-level accuracy on revenue analysis and forecasting.
- Proficiency in tools like Microsoft Excel, SQL, or business intelligence software (e.g., Tableau, Power BI) to manipulate and analyze large datasets.
- Ability to use financial modelling software or Excel to create financial models for forecasting and decision-making.
- Knowledge of database management systems (e.g., MySQL, Oracle) to extract and manipulate data for analysis.
- Basic programming skills in languages like Python or R can be beneficial for automating tasks, data cleaning, and analysis.
- Familiarity with Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP) systems for accessing sales and financial data.
- Understanding of statistical concepts and techniques for data analysis.
- Ability to create visualizations and dashboards to present data and insights effectively using tools like Tableau, Power BI, or Excel.
- Able to perform in-depth data validation on data from various resources, research and resolve data discrepancies.
- Highly developed interpersonal skills with the ability to adapt, collaborate and influence positive outcomes.
- Well-deve