Jr. Data Analyst (Python, SQL, Power BI)

Summary

As a Jr. Data Analyst at Gainwell, you can contribute your skills as we harness the power of technology. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions. This role is strictly involved in the development of the product and does not involve access to Protected Health Information (PHI) & Personally Identifiable Information (PII) or any secured/confidential client data. The work is limited to analysis of the application development and does not include handling or processing of sensitive health information. Here are the details on this position.

Your role in our mission

•    Designs, implements and maintains access methods, access time, validation checks, organization, documentation, and statistical methods to ensure that requirements are satisfied.
•    Review 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 specifications.
•    Provides overall monitoring of standards and procedures and suggests revisions when necessary to ensure updated guidelines to meet changing demands and consistency.
•    Should have experience in building analytical dashboards/reporting (Experience in Finance domain is desirable).
•    Investigates and resolves technical matters of significance by analysing and determining possible causes to ensure stakeholders satisfaction.
•    Provides work direction and guidance to less experienced personnel to ensure that specifications are met.

What we're looking for

•    Seeking good analytical resources with at least 1 year of experience of working on analytical scorecards/dashboards. 
•    Experience in building dashboards and having working knowledge in analytical packages like Python, Tableau, SQL, Power BI etc is desirable.
•    Decent knowledge of ML/AI models will be an added advantage.

Qualifications:

•    Bachelor's degree or equivalent combination of education and experience.
•    Experience working with statistical software and product configurations.
•    Experience working with relevant programming languages and RDMS for general software development.

What you should expect in this role

•   Fast-paced, challenging and rewarding work environment.
•   Work life balance. 
•   Hybrid/Remote environment.
•   Will require late evening work to overlap US work hours.