Remote Pharmaceutical Data Analyst

Placements24; Riverton (UT); Remote; USD 85,000 - 125,000; Full time

Benefits offered by this job

Health insurance

Remote-first work culture

Home office allowance

Job summary

Placements24 is seeking a Remote Pharmaceutical Data Analyst to join our clients team. You will collect, clean, and analyze complex pharmaceutical datasets to provide actionable insights, collaborating with R&D, clinical operations, and marketing.

This fully remote role requires strong analytical skills and the ability to work independently in a remote environment. You will develop dashboards using Tableau/Power BI, interpret results for stakeholders, and ensure data integrity across trials,

Qualifications

• Bachelor's degree in Statistics, Mathematics, CS, Economics or a related quantitative field.
• Minimum of 3 years of experience as a Data Analyst in pharma, healthcare or life sciences.
• Proficiency with SQL, Python, or R.
• Experience with data visualization tools such as Tableau, Power BI, QlikView.
• Strong grasp of statistical concepts and techniques.
• Excellent analytical, problem-solving and critical thinking.
• Exceptional communication and presentation skills for non-technical audiences.
• Proven ability to work independently and manage multiple projects remotely.
• Familiarity with pharmaceutical terminology and data types (clinical trials, sales data, RWE).

Responsibilities

• Collect, extract, and clean data from clinical trials, sales records, and market research databases.
• Perform statistical analysis to identify trends, patterns and correlations.
• Develop and maintain dashboards and reports using data visualization tools to communicate findings.
• Interpret data and translate results into clear, actionable insights for stakeholders.
• Collaborate with cross-functional teams to understand data needs and provide analytical support.
• Ensure data integrity and accuracy throughout the analysis process.
• Identify opportunities for data enhancement and process improvements.
• Contribute to development of data models and analytical frameworks.
• Stay updated on trends in data analysis and pharmaceutical data management.
• Present findings and recommendations to management.

Skills

SQL

Python

R

Tableau

Power BI

QlikView

Statistical analysis

Education

Bachelor's degree in statistics or related quantitative field

Tools

Tableau

Power BI

QlikView

Python

SQL

Job description

About the Role

Our client, a forward-thinking pharmaceutical company focused on leveraging data for better patient outcomes, is seeking a talented Remote Pharmaceutical Data Analyst to join their expanding team. This fully remote position involves collecting, cleaning, analyzing, and interpreting complex pharmaceutical datasets to provide actionable insights. You will work closely with various departments, including R&D, clinical operations, and marketing, to support data-driven decision-making. The ideal candidate possesses strong analytical and statistical skills, proficiency in data visualization tools, and a deep understanding of pharmaceutical data types. As a remote-first role, you will need to be self-motivated, possess excellent communication skills for virtual collaboration, and be adept at managing your workload independently. This is an exciting opportunity to contribute to a company at the forefront of pharmaceutical innovation, working from anywhere in South Africa and making a tangible impact. We are committed to empowering our remote workforce with the tools and support necessary for success.

Key Responsibilities

• Collect, extract, and clean data from various sources, including clinical trials, sales records, and market research databases.
• Perform statistical analysis on pharmaceutical data to identify trends, patterns, and correlations.
• Develop and maintain dashboards and reports using data visualization tools (e.g., Tableau, Power BI) to communicate key findings.
• Interpret data and translate complex analytical results into clear, concise, and actionable insights for stakeholders.
• Collaborate with cross-functional teams to understand their data needs and provide analytical support.
• Ensure data integrity and accuracy throughout the analysis process.
• Identify opportunities for data enhancement and process improvements.
• Contribute to the development of data models and analytical frameworks.
• Stay updated on the latest trends and technologies in data analysis and pharmaceutical data management.
• Present findings and recommendations to various levels of management.

Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Minimum of 3 years of experience as a Data Analyst, preferably within the pharmaceutical, healthcare, or life sciences industry.
• Proficiency in data analysis tools and programming languages such as SQL, Python, or R.
• Experience with data visualization software (e.g., Tableau, Power BI, QlikView).
• Strong understanding of statistical concepts and techniques.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Proven ability to work independently, manage multiple projects, and meet deadlines in a remote work environment.
• Familiarity with pharmaceutical terminology and data types (e.g., clinical trial data, sales data, RWE).
• High attention to detail and commitment to data accuracy.

Benefits

Our client offers a competitive salary, comprehensive health insurance, and a retirement savings plan. This is a fully remote position, offering excellent work-life balance and the flexibility to work from your preferred location. We provide opportunities for professional growth through continuous learning platforms and support for relevant certifications. You will be part of a collaborative and innovative team, utilizing cutting-edge data analytics tools. Additional benefits include a monthly home office allowance and regular virtual team-building activities. Join us in driving pharmaceutical innovation through data.