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Data Analyst with Low Code

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Summary

Builds, tests, and modernizes low-code/no-code applications on the Decisions platform for financial-services/consumer-banking work, working closely with clients on scorecards, advisory, and modeling. Core stack: Decisions no-code, Python/JavaScript, Flask/Django/FastAPI, HTML/CSS, MySQL/MSSQL, and CI/CD.

Key Responsibility Area:
( Specifies Key Result Areas for the Incumbent )
o Collaborate with cross-functional teams to gather and analyze requirements.
o Design and develop software applications using {Decisions No-Code Environment}.
o Write clean, efficient, and maintainable code. {Decisions No-Code Environment}.
o Conduct thorough testing and debugging of applications.
o Troubleshoot and resolve software defects and issues.
o Stay up-to-date with emerging technologies and industry trends Works closely with the Client(s) on scorecards, advisory and modeling.
o Create and manage low-code applications, also skilled in modernizing existing low-code projects
o Provide leadership to the Development team and assist the leadership to deliver results, business goals and commitments. o Experience with multiple work scenarios, including DEV, UAT, and Production, in the context of Low
Code app creation. o Financial Services/ Consumer banking business(preferred) - with extensive analytics orientation.
o Work on processes to continuously update rules/procedures to optimize results & manage day-to-day activities with the team.
o Support various special project assignments.

Eligibility Criteria:
(Skill set required to do the job- Knowledge, Tools, Technical Knowledge, Certifications etc.)
o Proficient in Data Structures and Algorithms.
o Expertise in “Decisions No Code Development”.
o Proficiency in programming languages such as Python, JavaScript or depending on the specific requirements of the role.
o Strong understanding of Software Development Life Cycle (SDLC) and Version control.
o Proven track record with Back End(Flask, Django, Fast API), Front End(HTML, CSS, JS), database languages (e.g.,MySql, MSSQL)
o Skilled in CI/CD practices. o Good to have conceptual or working knowledge of Machine Learning & AI, cloud platforms (e.g. AWS, GCP, Azure) BEHAVIORAL SKILLS: (Attitude, Aptitude and Abilities) o Experience articulating and translating business questions to Low

Skills

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