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29 Statistician jobs in Charlotte,NC

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Decision Science Analyst Senior – Auto Modeling

USAA

Charlotte, NC 28244

OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline
OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree
6 years of data & analytics experience
OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e.P&C;, Bank, Finance, Marketing etc.) for a total of 6 years combined experience
OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.P&C;, Bank, Finance, Marketing, etc.)
Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making
Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems
Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights
USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.)

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Senior Data Analyst

Trane Technologies

Davidson, NC 28036

Remote

A bachelor's degree in data science, statistics, mathematics, information science, finance, or related field
At least 5 - 7 years of experience as a data analyst, data scientist, BI analyst, preferably in the finance domain
Proven project experience with programming languages such as SQL, Python, and R for data manipulation and analysis
Proven project experience with data analysis and visualization tools such as Tableau, Power BI, Looker and Excel
Proven project experience with data cleansing and transformation tools such as Dataiku, Alteryx, etc.
Expert knowledge of statistical analysis techniques and concepts for both descriptive and inferential statistics
Strong finance knowledge and business acumen to understand and interpret financial data in the context of business operations.
Knowledge of data visualization best practices to effectively communicate insight
Strong analytical and problem-solving skills to interpret complex datasets and generate meaningful insights
Familiarity with data modeling, machine learning models and data warehousing concepts
Ability to work with large datasets through data cleaning, preprocessing, and transformation techniques
Ability to collaborate within and across teams of different technical and business knowledge to support delivery and educate end users on analytics products
Excellent communication skills to convey complex data findings to both technical, finance and business executives
Attention to detail and ability to maintain data accuracy and integrity
Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.