Data Modeler/Analyst
1 week ago
Description :Key Responsibilities:- Lead the design, development, and maintenance of data models that support complex utility tariffs, rates, and program structures.- Automate workflows and processes using Python to enhance model efficiency and accuracy.- Perform data validation, regression testing, and calibration, investigating and resolving discrepancies or model calibration failures.- Manage change management processes for deploying updated models into production, including proper documentation and audit compliance.- Collaborate with cross-functional teams to gather requirements, define modeling approaches, and deliver high-quality analytical solutions.- Utilize Microsoft Excel (advanced functions, pivot tables) and SQL for data analysis and validation.- Contribute to process improvement initiatives related to the rate engine, modeling practices, and sprint planning activities.- Participate actively in Agile ceremonies such as sprint planning, stand-ups, and retrospectives, ensuring sprint commitments are met.- Prepare and maintain comprehensive documentation on modeling requirements, methodology, and updates for client and internal reference.- Provide technical leadership and mentorship to junior team members, fostering innovation and collaboration.Required Skills & Qualifications :- Bachelors degree in Engineering, Statistics, Computer Science, Mathematics, or a related analytical field.- 6-10 years of experience in data modeling, analytics, or automation projects.- Proficiency in Python programming (basic to intermediate level) with experience in automating workflows or data pipelines.- Strong command of Microsoft Excel, including formulas, pivot tables, and advanced functions.- Good understanding of relational database concepts and practical knowledge of SQL.- Strong analytical, logical reasoning, and problem-solving skills.- Excellent communication and collaboration abilities to work with cross-functional and client-facing teams.- Demonstrated leadership experience managing small to mid-sized teams.- Detail-oriented and committed to model accuracy, documentation, and audit compliance. (ref:hirist.tech)
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