Position: Data Analyst
Company: Avenga Ukraine
Category: Data Science
Experience required: 3y
English level: upper

We’re growing steadily, and are looking for a Data Analyst to work full-time with our customer – an American multinational company serving the combined industries of health information technologies and clinical research. The client cooperates with several top-20 global pharmaceutical companies such as AstraZeneca, Novo Nordisk, Roche, and others.
As a part of this role, you will be involved in work on the development and implementation of solutions for retrospective research studies, statistical methods, NLP, and text mining applications. Also, you will collaborate closely with both developers and data scientists, plus other team members to manage the development cycle. 

Skills and Qualifications:
Good knowledge and hands-on experience with SQL and experience in manipulating and querying data at scale;
Experience with big data tools and technologies such as Hadoop, HIVE, etc.;
Data analysis skills and previous experience using tools like Excel, Access, SAS, Python, R, or other such analytical tools;
Good grasp of classical statistical methods, such as fitting regression models, inference testing, and sampling;
Exposure to epidemiology/biostatistics, particularly analytical issues relating to studies of treatment effectiveness, disease progression, adherence, healthcare utilization;
Good knowledge of healthcare/life science issues involving Real-World Evidence or experience with patient-level, longitudinal data;
A proactive, innovative, and pragmatic approach to problem-solving and an ability to think critically and independently;
Flexible and adaptable in a client-focused, results-driven environment. Ability to manage team members effectively across multiple time zones;
Strong knowledge and work experience with OHDSI common data model – Observational Medical Outcomes Partnership (OMOP);
Confident in healthcare data models – HL7, FHIR, etc.;
Knowledge and experience on Clinical Trial, related technologies – EDC, EPRO, etc., and related standards CDISC SDTM, ADAM, etc. are highly desirable;
Familiar with healthcare technologies like EHR, EMR, etc., is highly desirable;
Competent in different clinical and medical coding using MedDRA, WhoDRUG, ICD, CPT, etc. are required.

Responsibilities:
Work with real-world and clinical trial data;
Conducts technical and data analyses to answer and address queries surrounding data reports, databases, and data sets, runs specific technical reports, and maintains the integrity of all internal data Investigates data anomalies;
Review trends and researches problems;
Handle and project manage queries and report requests and conduct data analyses to gain insights and answers for data requests or questions;
Under broad guidance, performs quantitative or qualitative analyses to support the development of solutions for internal or external client project teams;
Identifies and interprets trends and patterns in datasets to support the development of recommendations;
Verifies data for accuracy and completeness;
May manipulate and transform data to optimize analyses;
Performs audits of own work or that of others to ensure conformance with established procedures or to resolve routine issues;
Plans and coordinates peer review of work products such as data model, mapping document, code, designs, and test plans produced by other team members;
Construct budgets as required and control expenditure to achieve financial objectives;
Develop and review methods to assess the quality and efficiency of work performed by the team, including metrics, internal process improvement, Work Instructions, and Standard Operating Procedures;
Perform Data Engineering steps for internal and external clients;
Meets personal and professional milestones as assigned, and interacts with the project team to organize timelines, responsibilities, and deliverables;
Performs other duties as directed.