What are the responsibilities and job description for the Operations Data Analyst, HAP Tech position at Berkeley Research Group, LLC?
HAP Tech is one of the firm’s largest and fastest growing practices. This innovative group is currently looking for talented and dynamic professionals to join us as we continue to grow! HAP Tech supports and advises pharmaceutical manufacturers on how to navigate the challenges and complexities of the 340B program as well as other areas of the healthcare ecosystem. Our team is the established market leader in data and technology solutions for 340B-related issues and we support an impressive client base which includes the largest pharmaceutical manufacturers in the US as well as early-stage biotech companies. Beyond our syndicated solutions, we also integrate and synthesize data to deliver unparalleled analytics and insights into various aspects of the 340B program and the pharmaceutical supply chain.
The Data Operations Analyst position requires highly motivated problem solvers with solid analytical abilities, strong organizational skills, and a desire to advance within the organization. Additionally, we are looking for individuals who can be agile, think outside the box and lead with an entrepreneurial spirit. This position will provide broad-based data support across business units, products, and services.
Job title and Compensation to be determined based on qualifications and experience.
Responsibilities:
Responsibilities:
- Demonstrate creativity and efficient use of relevant software tools, analytical methods and computer models to develop solutions.
- Develop analyses and financial models using transactional data and/or financial data.
- Perform data quality checks, develop test plans, identify anomalies, and ensure data integrity through audits.
- Provide support on all aspects of small to medium sized clients and discrete segments of larger projects.
- Gather and analyze data related to end user engagement with a product, gather insights from feedback and identify areas for improvement.
- Intake point for collecting user product feedback, studying user interactions with the product, and analyzing responses to provide timely data insights to product teams.
- Prepare reports and presentations to communicate insights, findings, and recommendations.
- Present data analysis and product performance evaluations to stakeholders and cross-functional teams.
- Deliver training knowledge through presentations, interactive modules, or hands-on demonstrations.
- Broad-based data support across business units, products, and services.
- Help manage parts of the project and/or product lifecycle across client implementations and/or practice initiatives.
- Participate in a team environment and prioritize assignments and responsibilities to meet goals and deadlines.
Basic Qualifications:
- Bachelor's degree or equivalent, and an undergraduate level understanding of business, finance, accounting, statistics, product development or data analysis.
- Strong technical skills, including the ability to independently execute complex data analytics in SQL, R, or Python.
- Knowledge of market research methodologies, including data collection, analysis, and competitor analysis.
- 1-4 years SQL, R, or Python experience with a focus in data analytics. An interest in growing these skills and training others is required.
- Demonstrate strong verbal and written communication skills.
- Commitment to producing high quality analysis and attention to detail.
- Desire to work within a team environment.
Candidate must be able to submit verification of his/her legal right to work in the United States, without company sponsorship.
Salary Range: 80,000 - 115,000
