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Data / Data Mining Analyst
Coudersport, PA
Find & Apply For Data / Data Mining Analyst Jobs in Coudersport, Pennsylvania
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Monday - Friday / Hybrid, 40 Hours Weekly Role Objective Support the Power Forecasts product team in producing local-grid and regional-grid forecasts for housing, transport electrification, industry, and commercial premises. Maintain and improve a data-driven, automated forecasting workflow centred on Python scripts. Produce reliable forecasts and insights for network dimensioning, network-development planning, investment decisions, and customer dialogue. Enhance the quality, efficiency, and analytical value of forecasting, data-modelling, and reporting processes. Key Responsibilities Automate forecasting activities previously completed manually using Python within a Databricks environment. Analyse customer and time-series data to develop improved forecasting methodologies. Build new Power BI reports and enhance existing reports through data modelling, calculations, and additional functionality. Update power forecasts for specific geographical areas and generate quantitative and qualitative insights. Assess data availability, combine information from multiple sources, and ensure data quality and reliability. Communicate analytical findings clearly to internal and external stakeholders. Tasks Develop clear and efficient Python code to automate forecast preparation and processing. Conduct both defined analyses and exploratory investigations into customer and time-series data. Collaborate with colleagues from other disciplines to assess potential changes to forecasting methodology. Develop Power BI data models, calculations, visualisations, and report functionality. Gather, validate, process, and quality-assure input data used in power forecasts. Liaise with municipalities and local-grid customers when updating forecasts for specific areas. Prepare and present forecast results, insights, and supporting materials to relevant stakeholders. Contribute to the continuous development of automated and data-driven ways of working within the product team. Deliverables Automated and maintainable forecasting workflows within Databricks. Updated local-grid and regional-grid power forecasts. Customer-data and time-series analyses supporting methodology development. Accurate and usable Power BI reports, data models, and calculations. Quality-assured datasets, analytical insights, and stakeholder presentation materials. Decision Authority / Responsibility Own assigned analysis, automation, reporting, and forecast-update activities through to completion. Recommend improvements to forecasting methodologies, data models, and automated workflows based on evidence and analysis. Identify and escalate material data-quality, reliability, and methodological risks. Ensure analytical results and reporting outputs are clear, reliable, and suitable for stakeholder decision-making. Requirements Several years of experience analysing large datasets, particularly customer data and time series, including data manipulation, modelling, and presentation of results to stakeholders. Several years of experience developing efficient, understandable code using Python or a comparable programming language. Professional experience in the electricity-network sector or other relevant energy-industry experience. Professional experience with data-visualisation tools such as Power BI. Strong analytical ability and advanced problem-solving skills. Able to communicate complex findings and messages clearly to different stakeholders. Relevant academic degree, such as an MSc in Engineering in Applied Physics, Energy Systems, Electrical Power Engineering, or another relevant technical discipline. Previous experience in insight generation and/or forecasting is advantageous. Experience working in an Agile Scrum team or equivalent environment is advantageous. Experience with artificial intelligence and machine learning is advantageous. Experience with SQL or an equivalent query language is advantageous.
