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Job Description
As a Data Analyst at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve — a community’s most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare’s biggest challenges. Here are the details on this position.
Your role in our mission
- Designs, implements and maintains complex databases, access methods, access time, validation checks, organization, protection and security, documentation, and statistical methods to ensure that client requirements are satisfied.
- Reviews and edits data requirements and documents according to required standards by utilizing prescribed tools and methods to ensure that design and implementation are according to company guidelines and client specifications.
- Provides overall monitoring of standards and procedures and suggests revisions when necessary to ensure updated guidelines to meet changing market demands and consistency across databases.
- Should have experience in building analytical dashboards/reporting (Experience in Finance domain is desirable).
- Applies data analysis or data modelling techniques to establish, modify or maintain complex data structures and their associated components to increase efficiency of structures and components.
- Investigates and resolves technical matters of significance within databases by analysing and determining possible causes to ensure client satisfaction.
- Provides work direction and guidance to less experienced personnel using the data structures and associated components to ensure that business specifications are met.
- Provides training in data modelling techniques and in incorporating data modelling into information systems to ensure consistency in development and maintenance of database structures across the company.
- Seeking good analytical resources with at least 4 years of experience of working on analytical scorecards/dashboards.
- Experience in building dashboards and having working knowledge in analytical packages like Python, Tableau, SQL, Access, etc is desirable.
- Decent knowledge of ML/AI models will be an added advantage.
- Candidates should be able to develop detailed project plans and track it diligently.
Looking to get Placed? Try our Placement Guarantee Plan
- Bachelors degree or equivalent combination of education and experience.
- Experience working with data administration, repository management, database creation techniques, and data warehousing standards, strategies, and tools.
- Experience working with company used database and statistical software and product configurations.
- Experience working with relevant programming languages and relational databases for database management and general software development.
- Hybrid/Remote environment.
- Will require late evening work hours to partially overlap US (Eastern Time) work hours.
Skills
PythonData AnalysisData WarehousingImplementationData AnalystAnalystAiMlSqlIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Inowell Technologies is a leading innovator in the tech industry, dedicated to developing cutting-edge solutions that enhance everyday life and streamline business operations. Careers at Inowell Technologies are dynamic and fulfilling, offering professionals the chance to work on transformative projects in areas such as artificial intelligence, software development, and sustainable technology. Inowell Technologies careers are suited for those passionate about pushing the boundaries of technology and making a significant impact in a rapidly evolving field. The company fosters a culture of creativity, collaboration, and continuous learning, making it an ideal workplace for tech enthusiasts looking to advance their careers.
Important dates & deadlines?
Application Deadline
22 Jun 25, 02:29 PM IST
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Data Analyst (Python, SQL, Power BI)
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