Data Analyst

Being on medication is tough enough. We want to make getting it the easy part. Getting prescriptions to patients has become increasingly complex. When things get messy along the prescription journey, pharmaceutical manufacturers rely on us to untangle the process and create a clear path—allowing patients to build trusting relationships with their medication brands. 

We’re not only committed to taking the pain out of the prescription process, but we’re also devoted to bringing the brightest minds together under one roof. We bring together diverse voices—engineers, pharmacists, customer service veterans, developers, program strategists and more—all with one vision. Each perspective and experience makes ConnectiveRx better than the sum of its parts. 

The Data Analyst I takes ownership of larger data projects, collaborates directly with analytics consultants, and develops meaningful reports and dashboards. They are expected to independently write complex SQL queries, design interactive visualizations, and understand the context of their analysis within the healthcare industry. With growing technical and domain expertise, they work closely with internal stakeholders and clients to provide actionable insights that drive business decisions.

• Data Analysis and Reporting: Take ownership of data projects, analyze data, and create reports and dashboards independently.
• Client Interaction: Work directly with clients to gather requirements, present findings, and address their analytics needs.
• Project Management: Manage small projects, track progress, and ensure timely delivery of milestones and deliverables.
• Team Collaboration: Collaborate with team members on larger projects, providing support and sharing insights.
• Learning and Development: Continue to develop technical and business skills through training and self-study.

• A bachelor's degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline is preferred.
• 2-4 years of experience in data analysis, data management, or a related field. Experience with SQL, data wrangling, and data visualization is preferred.
• Write complex SQL queries, design interactive visualizations, and understand the context of their analysis within the healthcare industry.
• Have ownership of larger data projects, collaborate directly with analytics consultants, and knowledge to develop meaningful reports and dashboards
• SQL (Required): Ability to write complex queries involving multiple joins, subqueries, and window functions. Ability to optimize queries for performance.
• Data Wrangling (Required): Ability to use advanced data manipulation techniques, including merging datasets, reshaping data, and handling complex data types.
• Data Visualization (Required): Ability to create interactive and dynamic visualizations using advanced tools (e.g., Tableau, Power BI). Ability to design visualizations that effectively communicate insights.
• Statistics (Preferred): Proficiency in inferential statistics, including hypothesis testing, regression analysis, and ANOVA. Ability to interpret and communicate statistical results.
• Business Intelligence (BI) Development (Required): Ability to design and develop interactive dashboards, creating complex visualizations, and integrating data from multiple sources.
• General Coding Experience (Required): Ability to write more complex programs, debug code, and use version control systems. Python preferred.
• Communication (Plus): Ability to engage directly with stakeholders, presenting insights and responding to queries with confidence and clarity.
• Domain Experience (Preferred): Ability to leverage a growing understanding of the healthcare and patient support services industry to provide context for data-driven recommendations.
• Project Experience (Preferred): Ability to lead small to medium-sized projects, track progress, and ensure timely delivery of milestones and deliverables.
• Project Management (Plus): Ability to lead small to medium-sized projects, track progress, and ensure timely delivery of milestones and deliverables.
• Training: On-the-job training will be provided to help the Data Analyst I develop their technical and business skills. Continuous learning and professional development opportunities will be encouraged to keep up with industry trends and advancements

Compensation & Benefits:  This position offers opportunities for a bonus (or commissions), with total compensation varying based on factors such as location, relevant skills, experience, and capabilities.   

Employees at ConnectiveRx can access comprehensive benefits, including medical, dental, vision, life, and disability insurance. The company regularly reviews and updates its health, welfare, and fringe benefit policies to ensure competitive offerings. Employees may also participate in the company’s 401(k) plan, with employer contributions where applicable.   

Time-Off & Holidays:  ConnectiveRx provides a flexible paid time off (PTO) policy for exempt employees, covering sick days, personal days, and vacations. PTO is determined based on an employee’s first year of service. Employees also receive eight standard company holidays and three floating holidays annually, with prorations applied in the first year.   

The company remains committed to providing competitive benefits and reserves the right to modify employee offerings, including PTO, STO, and holiday policies, in accordance with applicable laws and regulations.