Data Analyst/Insights Specialist at Human Accent

Main Purpose of Job

• The role will be responsible for analysing internal business and external market data tidentify opportunities, gaps, and problems within the organization.
• This role includes evaluating the performance of the Marketing, Sales and Prescription (Rx) teams against their KPIs and contributing tdata improvement initiatives tdevelop a world-class insights and analytics
• environment, establishing the function as a competitive advantage within the healthcare industry.
• To develop an insights and analytics business unit, passionate about identifying unmet needs, gaps and opportunities thereby prioritizing investment and maximising ROI.
• The role will alsbe responsible tdevelop and nurture a data-driven culture across the organisation with the establishment, maintenance and enhancement of a self-service reporting structure, telling a story with data democratising data and analytical skills.

Key Performance Areas (Core, essential responsibilities – outputs of the position)
Data Analysis and Reporting

• Analyse internal business data tidentify trends, patterns, and areas for improvement.
• Evaluate external market data tunderstand the competitive landscape and market opportunities.
• Examine, interpret and report results of analytical initiatives tstakeholders in leadership, R&D, sales, marketing, digital marketing and engineering

Performance Monitoring

• Monitor and report on the performance of sales and Rx team representatives against KPIs.
• Provide actionable insights timprove team performance and meet business objectives.

Data Improvement Initiatives

• Participate in ad-hoc data improvement projects.
• Collaborate with the IT and data management teams tenhance data quality and integrity.

Stakeholder Communication

• Work closely with the Marketing Executive team talign data analysis efforts with business goals.
• Communicate findings and recommendations tsenior management and other stakeholders.

Problem-solving and Insights Generation

• Leverage strong analytical and problem-solving skills tidentify business opportunities and address gaps.
• Translate complex data intactionable insights and strategic recommendations.

Collaboration and Teamwork

• Work collaboratively with cross-functional teams tsupport business initiatives.
• Share knowledge and best practices with colleagues tfoster a data-driven culture.

Minimum Requirements
EDUCATION

• Any degree within the STEM disciplines that may include:
• Bachelor’s degree in Business Science
• Bachelor’s degree in Data Science
• Bachelor’s degree in Data Analytics
• Bachelor’s degree with Mathematics and/or Applied Mathematics
• Bachelor’s degree in Engineering
• Bachelor’s degree in Computer Science 

EXPERIENCE

• Minimum experience of 2- 4 years working in a similar role

DESIRABLE SKILLS & EXPERIENCE:
Essential Skills & Experience

• Experience using analytics and statistical techniques tdeduce insights which contribute
• tcompany growth efforts, increasing revenue and other key business outcomes.
• Strong problem-solving, quantitative and analytical abilities
• Knowledge is preferable in any data analysis tools and programming languages
• Power BI
• Python
• R
• SQL
• Experience working with and creating dashboards and reports using all relevant data to
• inform decisions
• Excellent communication, collaboration and delegation skills.
• Ability tinterpret complex data and translate it intactionable insights.
• High level of proficiency in the ability ttell a story with data using Microsoft Office
• Suite (Excel, Word, PowerPoint)

Advantageous

• Experience in the pharmaceutical industry:
• Understanding of doctor prescribing data (IQVIA, Dis-Chem etc.) and pharmacy sales data
• Understanding of the pharmaceutical supply chain
• Experience in dealing with the following marketing elements:
• Deep insight intconsumer behaviour
• Experienced in mapping customer journeys
• Experienced in leveraging insight from digital marketing analytics
• Develop statistical research tools (quantitative and qualitative) tgather data from the field