Summary :
For a complete understanding of this opportunity, and what will be required to be a successful applicant, read on.
We are seeking someone with a demonstrated history of successful data analytical experience, using finance and demand planning information, to support the Order-to-Cash process and analyze customer behavior.
Our team culture is goal-oriented, collaborative, and driven to achieve results.
The Business Data Analyst ensures successful execution of the day-to-day customer experience and order-to-cash (CX-OTC) activities per aligned market / customer needs and business objectives.
In this role, the Business Analyst will make OTC decisions based on deep knowledge of market trends and customer analytics.
Responsibilities :
- The Business Data Analyst's primary focus will be to serve as a point of contact for analytical matters pertaining to internal and external inquiries surrounding our Wholesalers, Specialty Pharmacies, and Distributors.
- Provide insights, business intelligence, and management analytics for effective decision-making in alignment with CX-OTC day-to-day activities.
- Support team activities, operating review meetings, and management requests through the delivery of information to support day-to-day customer experience and order-to-cash (CX-OTC) activities.
- Partner across various functional areas, including Finance, Accounts Receivable, Commercial Analytics, and Pricing and Contracts, to drive actionable planning solutions and trade efficiencies.
- Develop insights pertaining to Specialty Pharmacies, Specialty Distributors, and Wholesalers; drive trade analytics reporting and advance the level of automation in order to provide the most efficient use of data resources.
- Prioritize business needs and manage expectations for deliverables and Continuous Improvement strategies.
- Prepare reports while analyzing data variances and trending to explain deltas or deviations in partnership with the business owner.
- Collaborate with interfacing technical teams including Data Management Systems and Information Systems to identify report(s) dependencies, engineer design solutions, and orchestrate deliverables towards a common goal.
Basic Qualifications :
- Doctorate degree.
- Master’s degree & 1 year of experience.
- Bachelor’s degree & 3 years of experience.
- Associate’s degree & 8 years of experience.
- High school diploma / GED & 10 years of experience.
- Experience in an analytics, forecasting, and / or strategy role; experience in healthcare, biotech, and / or pharmaceutical industry strongly preferred.
Preferred Qualifications :
- Knowledge of Good Documentation Practices (GDP).
- Highly proficient analytical and software skills aimed at data analysis.
- Ability to analyze / interpret large data sets from multiple sources such as SAP, vendor portals, and other platforms.
- Experience with data visualization tools (PowerBI, Tableau) preferred.
- Strong communication skills (verbal and written); proven ability to work cross-functionally and liaise across a complex set of stakeholders.
- Excellent problem-solving capabilities.
- Demonstrate analytical skills combined with a client service orientation.
- Demonstrate ability to think strategically to support key business decisions.
- Must be enthusiastic, self-motivated, high-energy, and a driven problem solver especially in the face of resistance or setbacks.
Top 3 Must Have Skill Sets :
- SAP Experience.
- PowerBI or Tableau Experience.
- Excel.
Compensation :
The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on a number of factors, including but not limited to a candidate’s qualifications, skills, competencies, experience, location, and end client requirements).
Benefits and Ancillaries :
Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions.
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