About this role
Analyst III focusing on gas market fundamentals, with emphasis on North American markets, heavy data analysis, modelling, and reporting
Key Responsibilities
- Track fundamental drivers; Create proprietary gas market view; automate reporting; communicate findings to leadership; develop market analysis tools
Technical Overview
Stacks include Python, SQL, PySpark, Databricks, scikit-learn for ML; Excel and Power BI for reporting and dashboards; focus on predictive modeling and forecasting
Must-Have Skills
Bachelor Degree in FinanceEconomicsStatisticsComputer ScienceData ScienceInformation SystemsOperations Research or related discipline (MBA/Masters preferred).Strong analyticalmathematicalprocess modelingpresentation and report preparation skills and experience.Proficiency with ExcelPythonSqlscikit-learnPySparkDatabricksand Power BIProven expertise in predictive modelingforecastingand applied ML (e.g.regressiongradient boostingtime-seriescausal inference)
Nice-to-Have Skills
Two to five years fundamental analysis experience in natural gas marketing.Northeast US natural gas experience preferred.Advanced knowledge of software development procedures including scrum methodology
Tools & Platforms
PythonSqlscikit-learnPySparkDatabricksPower BIExcel
Required Skills
Bachelor Degree in FinanceEconomicsStatisticsComputer ScienceData ScienceInformation SystemsOperations Research or related discipline; strong analytical and modeling skills; proficiency with PythonSQLscikit-learnPySparkDatabricksPower BIExcel
Hard Skills
PythonSqlscikit-learnPySparkDatabricksPower BIExcel
Soft Skills
communicationpresentationteam collaborationleadershipproblem solving
Keywords for Your Resume
Gas Market Fundamentalsanalyst iiigas marketsnorth american natural gasnortheast us gaspythonsqlpysparkdatabricksscikit-learnpower biexcelpredictive modelingforecastingmachine learningdata scrapingdashboardreportingdata analysispandasnumpyPythonSQLPower BIDatabricksPySparkExcel
Deal Breakers
Must have the required degree or equivalent, Experience with Python and ML techniques, Demonstrated ability to produce actionable market insights
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