Job summary
Job post source
This job is directly from Real Value Products
Job overview
The Business Data Analyst at Real Value Products uses big data and analytics to provide business insights and support decision-making.
Responsibilities and impact
The analyst conducts recurring and ad hoc data analysis, understands business issues through data, and creates clear visualizations to communicate complex data.
Experience and skills
Requires a Bachelor's or Master's degree in Statistics, Applied Mathematics, or equivalent experience, 1-2 years of data analysis experience, and proficiency in SQL.
Company overview
Real Value Products is a distributor specializing in generic pharmaceuticals, medical supplies, and over-the-counter products, serving independent pharmacies, long-term care facilities, and healthcare providers across the United States. The company generates revenue by purchasing products in bulk from manufacturers and reselling them to healthcare businesses, focusing on competitive pricing and reliable delivery. Founded in 1992 and headquartered in Hagerstown, Maryland, Real Value Products has built a reputation for responsive customer service and a broad product catalog. Candidates should note the company’s emphasis on compliance with regulatory standards and its adaptability in a rapidly changing healthcare market. Real Value Products’ longstanding relationships with both suppliers and clients are central to its continued growth and stability.
How to land this job
Tailor your resume to emphasize your passion for big data and analytics, highlighting your ability to conduct both recurring and ad hoc business data analyses.
Focus on showcasing your proficiency in SQL and your experience in compiling and analyzing data to solve business issues, as these are critical for the role.
Apply through multiple channels including Real Value Products' corporate career site and LinkedIn to maximize your application visibility.
Connect with current employees in the data analytics or business intelligence divisions at Real Value Products on LinkedIn; start conversations by referencing recent company projects or asking about the team’s approach to data visualization challenges.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data analysis,' 'SQL,' 'data visualization,' and 'business insights' to ensure it passes automated screenings.
Utilize Jennie Johnson's Power Apply feature to automate tailored resume submissions, identify multiple application portals, and find relevant LinkedIn contacts, freeing you to focus on preparing for interviews and networking effectively.
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