✦ Luna Orbit — Data & Analytics

Untitled Position

at Company

Hybrid Posted March 30, 2026
Type Full-Time
Experience mid
Exp. Years Two to five years
Education Bachelor's Degree in Finance, Economics, Statistics, Computer Science, Data Science, Information Systems, Operations Research or related discipline (MBA/Masters preferred)
Category Data & Analytics

Analyst role within the Gas Market Analytics team focused on market analysis, forecasting, and modeling for North American natural gas markets, with emphasis on the Northeast. The role emphasizes automation, model production, and communication of market views to internal clients and leadership.

  • Track fundamental drivers for North American natural gas markets and communicate insights; Create and maintain proprietary gas market view; Manage data scraping and automation of reporting; Develop and operate simulation models for balance and price forecasting; Prepare presentations for board meetings and investor events

Stack includes Python, SQL, scikit-learn, PySpark, Databricks, and cloud tools (Google Cloud Platform). Proficiency in Excel and Power BI for reporting; active work on time-series forecasting and ML-based methods; automation of reporting pipelines.

The ideal candidate is a mid-level data/analytics professional with 2-5 years of experience in gas markets, strong modeling and ML skills, and fluency in Python, SQL, Spark ecosystem, and cloud-based tooling. They should be capable of producing production-ready models and communicating insights to senior leadership.

Bachelor's Degree in FinanceEconomicsStatisticsComputer ScienceData ScienceInformation SystemsOperations Research or related disciplineStrong analyticalmathematicalprocess modelingpresentation and report preparation skillsProficiency with ExcelPythonSQLscikit-learnPySparkDatabricksand Power BIProven expertise in predictive modelingforecastingand applied MLStrong proficiency in Python (PandasNumPyscikit-learnPySpark) and experience with distributed compute environments (SparkDatabricksGCP)Ability to take models from concept to productionStatistical analysisfeature engineeringand experimental design (e.g.A/B testing)
Two to five years fundamental analysis experience in natural gas marketingNortheast US natural gas experienceBroad knowledge of natural gas markets; power markets knowledgeEffective verbal and written communication; self-starter
Bachelor's Degree in FinanceEconomicsStatisticsComputer ScienceData ScienceInformation SystemsOperations Research; Excel; Python; SQL; scikit-learn; PySpark; Databricks; Power BI; Pandas; NumPy; Apache Spark; predictive modeling; forecasting; ML; A/B testing; data scraping; data analysis; data visualization; communication; stakeholder management
ExcelPythonSQLscikit-learnPySparkDatabricksPower BIPandasNumPyApache SparkGoogle Cloud PlatformGCPTime-series forecastingPredictive modelingMachine learningA/B testingFeature engineering
CommunicationStorytellingPresentationAnalytical thinkingTeam collaborationProblem solvingTime managementStakeholder managementAdaptability
Industry Energy
Job Function Perform data-driven fundamental analysis and forecasting for North American gas markets to support trading, risk management, and corporate strategy
Role Subtype Energy market analyst
Tech Domains Python, SQL / PostgreSQL, Google Cloud Platform, Power BI
analyst iiigas market analyticsgas market fundamentalsnortheast gas marketsnorth american natural gasshort term balanceprice forecastingpredictive modelingmachine learningpythonsqlpandasnumpyscikit-learnpysparkdatabricksgoogle cloud platformgcppower biexceltime-seriescausal inferenceab testingdata scrapingautomationboard presentations

Bachelor's degree in specified fields is required, No experience in gas market analytics or energy markets, Lack of Python/SQL/ML expertise, No ability to work in a hybrid Princeton, NJ environment

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