This Healthcare Data Analyst job description template is optimized for posting to online job boards or careers pages and easy to customize for your company.Healthcare Data Analyst Responsibilities include:. Gathering and integrating data from disparate sources. Building models and analyzing data to unearth trends and patterns.
The data analyst job description centers on information. Data analysts use information to answer questions about why things happen and the likelihood of them happening in the future. The career is in demand due to the growing importance of big data, the name for the large volume of personal and demographic information derived from websites and internet-connect devices. Data Analyst Knowledge and Skills: 1) Analytical and logical thinking skills. 2) A strong mathematical and statistical background. 3) The ability to quickly separate relevant from irrelevant information. 4) Superior problem solving skills. 5) Ability to work with spreadsheets and database.
Presenting and explaining information, and suggesting improvementsJob briefWe are looking for a Healthcare Data Analyst to gather and analyze healthcare data from multiple sources (e.g. Insurance processing, clinical operations, patient behavior) to extract trends and business insights.To succeed in this role, you should be analytical and resourceful. You should also be an excellent communicator who’s able to tell the story behind raw data to non-technical audiences. If you also have experience in the healthcare industry, we’d like to meet you.Your goal will be to help us operate profitably and streamline our processes to keep patients and employees satisfied. Responsibilities. Understand health care operations and systems. Create and validate record-keeping processes.
Pull and integrate data from disparate sources (e.g. Cost and claims or clinical data).
Evaluate and preprocess raw information. Delve into data to discover discrepancies and patterns. Build models that capture a wide range of health care operations. Present and explain information in an accessible way (e.g budgeting reports). Suggest ways to both increase healthcare quality and reduce costs (e.g.
Money spent in R&D). Collaborate with management and internal teams to implement and evaluate improvementsRequirements. Proven experience as a Healthcare. Experience in data analysis and visualization methods. Understanding of healthcare procedures.
Knowledge of Extract, Transform and Load (ETL) frameworks. Proficient in SQL and analysis tools (e.g. SAS).
Knowledge of Enterprise Data Warehouse (EDW) and data management systems. Excellent analytical and communication skills. Outstanding organizational and problem-solving aptitude. BSc/BA in Health Informatics, Statistics, Mathematics or a related field.
A data analyst uses data to acquire information about specific topics. This usually starts with the survey process, in which data analysts find survey participants and gather the needed information.
The data is then interpreted and presented in forms such as charts or reports. Data analysts may also put their survey data in online databases.Individuals looking for data analyst jobs must be knowledgeable in computer programs such as Microsoft Excel, Microsoft Access, SharePoint, and SQL data Read more. The top respondents for the job title Data Analyst are from the companies Centene Corporation, Kaiser Permanente and Booz, Allen, and Hamilton. Reported salaries are highest at Google, Inc. Where the average pay is $88,323. Other companies that offer high salaries for this role include Amazon.com Inc and Kaiser Permanente, earning around $71,331 and $67,994, respectively.
Pays the lowest at around $50,563. Centene Corporation and J.P. Morgan Chase & Co. (JPMCC) also pay on the lower end of the scale, paying $61,468 and $66,129, respectively. An entry-level Data Analyst with less than 1 year experience can expect to earn an average total compensation (includes tips, bonus, and overtime pay) of $53,713 based on 2,663 salaries.
An early career Data Analyst with 1-4 years of experience earns an average total compensation of $58,666 based on 14,213 salaries. A mid-career Data Analyst with 5-9 years of experience earns an average total compensation of $66,567 based on 3,551 salaries. An experienced Data Analyst with 10-19 years of experience earns an average total compensation of $68,523 based on 1,819 salaries. In their late career (20 years and higher), employees earn an average total compensation of $71,146.