Data Analyst - Rwd

Description

Citeline, is part of the Norstella group of Pharma information solutions, is one of the world's leading providers of data and intelligence on clinical trials, drug treatments, medical devices and what's new in the regulatory and commercial landscape. Relying on us to deliver vital advantage when making critical R&D and commercial decisions, our customers come from over 3000 of the world’s leading pharmaceutical, contract research organizations (CROs), medical technology, biotechnology and healthcare service providers, including the top 10 global pharma and CROs.

Position Overview:

We are seeking a Data Analyst with strong SQL experience to join our team. As a Data Analyst, you will play a crucial role in supporting life sciences analytical use cases by querying and analyzing a wide range of healthcare data sources, including claims, lab results, electronic medical records (EMR), and other real-world data. Your expertise in SQL and data analysis will contribute to enhancing our understanding of healthcare trends, optimizing patient care, and driving evidence-based decision-making.

Responsibilities:

• Create visually compelling reports, dashboards, and data visualizations to effectively communicate analytical findings and insights to stakeholders.
• Develop and maintain data documentation, including data dictionaries, data mappings, and data lineage, to ensure data transparency and accessibility.
• Query and analyze large volumes of healthcare data from diverse sources, including claims, lab results, EMR, and real-world data sets, to support life sciences analytical use cases.
• Clean, validate, and transform raw data into structured formats suitable for analysis, ensuring data quality and integrity throughout the process.
• Design and develop SQL queries, stored procedures, and functions to extract and transform data for analysis and reporting purposes. Work with a variety of file formats including Parquet, CSV, TSV, and PSV.
• Collaborate with cross-functional teams, including data scientists, statisticians, and healthcare professionals, to identify and define analytical requirements and deliver actionable insights.

Requirements

• 2+ years of experience working within any programming language.
• Strong attention to detail and a commitment to maintaining data integrity and quality.
• Ability to work collaboratively in a team environment, as well as independently, with a proactive and self-driven approach.
• Bachelors or Masters degree in a relevant field such as data science, statistics, computer science, or a related discipline or equivalent real-world experience.
• 2+ years of experience in SQL.
• 2+ years of experience as a Data Analyst or similar role, preferably within the healthcare or life sciences industry.

Preferred Requirements:

• Experience working in the healthcare industry
• Experience working with AWS Redshift

Benefits

Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people’s differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual’s abilities, skills, performance and behavior and our business requirements. Norstella operates a zero tolerance policy to any form of discrimination, abuse or harassment

Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we’re just as excited about you. 

The expected base salary for this position ranges from $75,000 - $125,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus.