Data Analyst

Company Description

Sqilline Health is a leading technology and real-world data company in Central Eastern Europe. We provide high-quality solutions and expertise in Data Analytics, ML / NLP algorithms, and AI in Healthcare.

We have developed an Analytics platform for real-world data. Danny Platform is able to evaluate massive amounts of real-world data from multiple sources (EHRs, registries, labs, etc) in oncology, cardiology, neurology, rare diseases, and many other fields to give insight into RWE and improve patient access and outcomes.

Sqilline’s data analytics capabilities enable hospitals, pharmaceutical companies, and reimbursement agencies to gain insight into real-world evidence of patient care.

Role Description

This is a full-time role for a Data Analyst. The Data Analyst will be responsible for analyzing and interpreting complex data sets, creating reports and presentations to communicate insights, and developing data models. The Data Analyst will work with various teams to identify data-related problems and provide solutions.

As a member of our company, you will be part of a small, agile, and innovation-driven team, working with current healthcare technologies.

Data Analyst Qualifications

• Expert knowledge of programming languages Python
• Strong background in multivariate statistics, multivariable calculus, linear algebra
• Experience with processing large amounts of structured and unstructured data from heterogeneous sources (data collection, normalization, missing data imputation, etc.) and exploratory analyses
• Intermediate understanding of databases such as SQL Server, Oracle, or HANA
• Understanding of website scripts such as XML, Javascript, JSON
• Knowledge of natural language processing is a plus
• Highly proficient, and fluent in spoken and written English

Education/Experience

• Degree in statistics, mathematics, computer science, engineering, and/or other quantitative fields. MS or advanced degree preferred.
• 3+ years of practical experience as a data analyst and/or a related field
• Experience in working with clinical/healthcare data and clinical analyses, or prior experience in the pharmaceutical/healthcare industry is a plus
• High-level experience in methodologies and processing for managing large-scale databases
• Demonstrated experience in handling large data sets and relational databases
• Excellent interpersonal and communication skills and have worked in multi-disciplinary teams
• Strong problem-solving skills

Responsibilities

• Perform exploratory data analyses and identify patterns/trends to gain a better understanding of clinical data
• Prepare and improve datasets for LLM training
• Build data/analytics tools with the software development team for production
• Provide quality assurance of imported data
• Help develop reports and analyses
• Manage and design the reporting environment, including data sources, security, and metadata
• Support the data warehouse in identifying and revising reporting requirements
• Support initiatives for data integrity and normalization
• Generate reports from single or multiple systems
• Create visualizations of data
• Provide technical expertise in data storage structures, data mining, and data cleansing
• Analyze existing tools and databases and provide software solution recommendations
• Document and present findings on data analyses and results

We offer

• Challenging work in a dynamic organization
• Full-time position
• Attractive remuneration package
• Friendly and supportive team environment
• Social Package