6 statistical analyst jobs at 4 companies in Orange, MA
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Senior Data Analyst (Remote)
Merrimack, New Hampshire, United States
$97k-$165k/yr RemoteFull Time
4+ YOEBachelor's degree in a related field, 4+ years in data analytics/engineering, experience with data integration, cleaning, statistical analysis, dashboarding, and stakeholder collaboration.
Tableau, Power BI, C#, Python, SQL
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Demand Planning Analyst
Keene, New Hampshire, United States
OnsiteFull Time
0+ YOEBachelor's degree required; 0-2 years experience (wholesale/retail a plus). Intermediate Microsoft Excel, analytical and statistics skills, forecasting and promo planning experience, weekend coverage infrequently.
Microsoft Office, Microsoft Excel
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CEMA Business Intel Analyst
Merrimack or Austin
$118k-$201k/yr OnsiteFull Time
5+ YOEBachelor's degree with 5+ years experience, manufacturing process knowledge, strong data analysis and statistical skills, dashboard/reporting experience, GenAI model use, and strong communication.
Matlab, Python, SQL, GenAI models
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Fixed Income Quantitative Analyst
Merrimack, New Hampshire, United States
OnsiteFull Time
3+ YOE3+ years fixed income quantitative experience, strong Python and SQL programming, advanced math/statistics, term-structure and securitized product knowledge preferred, excellent communication and analytical skills.
Python, SQL, Tradeweb, MarketAxess, ICE, Bloomberg
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Principal Quantitative Risk Management Analyst, Marlboro or Chelmsford, MA or Hillsboro, OR, Hybrid
Marlborough or Chelmsford or Hillsboro
$147k-$176k/yr HybridFull Time
8+ YOEBachelor's degree (or 4 additional years experience),8+ years relevant experience,expertise in quantitative finance/statistics,econometrics or math,model development/validation,Python/R/SQL proficiency,and strong communication.
Python, R, SQL
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Principal Quantitative Risk Management Analyst, Marlboro or Chelmsford, MA or Hillsboro, OR, Hybrid
Marlborough or Chelmsford or Hillsboro
$147k-$176k/yr HybridFull Time
8+ YOE8+ years quantitative risk experience; strong statistics/econometrics background; proficiency with Python, R, SQL; experience building/validating complex financial models; bachelor's degree (or 4 additional years relevant experience).
Python, R, SQL