Research, Statistics, or Econometrics • A relevant Master's degree is a strong advantage • Advanced Microsoft Excel skills (essential) • Problem solving skills • Experience managing large datasets using tools such as SAS, Stata, R, or Python • Strong communication skills and attention to detail • Comfortable working directly with clients and partners to obtain, validate, and interpret data If this sounds like the More ❯
Master's degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field - Experience conducting advanced statistical analysis (skilled in using one or more of R/SPSS/SAS/Python and etc.) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment More ❯
Wandsworth, Greater London, UK Hybrid / WFH Options
Supermercados Guanabara
teams. Desired Skills Python expertise, especially with data libraries like Pandas, NumPy, and Scikit-learn. Familiarity with ETL tools and data pipeline orchestration. Exposure to data science tools like SAS or Posit. Experience in performance-critical environments, particularly with large-scale data platforms. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job More ❯
impactful decisions in a thriving financial setting. We are looking for a skilled analyst to enhance model risk management through data analysis and quantitative methods. Bring your expertise in SAS, SQL, and Python to design, maintain, and support innovative risk management solutions while collaborating with global teams. Join us in shaping the future of financial risk! Risk Analytics Library More ❯
Liverpool, Lancashire, United Kingdom Hybrid / WFH Options
The Very Group
and ready to challenge the status quo. You'll have: A degree in a numerate subject (e.g. Mathematics, Statistics, Economics, or similar). Strong hands-on experience with SQL, SAS, Python or equivalent - you can interrogate large datasets with confidence. Advanced Excel skills. Experience with fraud strategy, credit risk, or related analytics (experience with FICO Blaze Advisor or other More ❯
Oracle/Cerner CPAM Billing and claims platforms: SSI Clearinghouse, 3M 360 Encompass (Institutional & Professional Coding), Alpha II Claim Scrubber, RevSpring Data analysis/reporting tools: Excel, Power BI, SAS, Tableau, HealtheAnalytics Reports and dashboards: HealtheAnalytics, Discern Reporting Portal, Lights On Network Subject matter expertise in one or more of the following RCM domains: Patient Accounting, Supply, PathNet, Business More ❯
client-facing, written and communication skills Strong understanding of data warehousing and ETL principles Solid organisational skills including attention to detail and multi-tasking skills Experience/Knowledge of SAS software on SAS 9.4 platform architecture Experience/Knowledge of Oracle database solutions and other database platforms (SQL Server etc.) Experience with Python 3.x Ability to interact with More ❯
times. Qualifications & Skills Experience in modeling and validation within banking portfolios or related fields. Ability to interpret technical documentation and produce accessible reports. Proficiency in statistical programming languages (e.g., SAS, R, Python, Matlab, Excel). Strong analytical skills, attention to detail, and a control-oriented mindset. Excellent communication and presentation skills. Knowledge of regulatory compliance requirements. Good interpersonal skills … proactive, and self-motivated. Desirable Industry certifications such as FRM, CFA, or SAS are a plus but not essential. We are committed to accessibility and supporting applicants with disabilities or long-term conditions. Please contact us at for alternative formats or to discuss accommodations. About Us Close Brothers is a leading UK merchant banking group offering lending, deposits, and More ❯
analysis, report building and data mining Solid experience in digital analytics tools (e.g. Google Analytics, Adobe Analytics etc) Solid working knowledge of a data coding language (e.g. R, Python, SAS, SQL) Strong experience using data visualisation tools (e.g. Tableau, Power BI etc) Advanced knowledge of Excel, PowerPoint etc Essential skills Ability to communicate insights and make recommendations that engage More ❯
analysis, report building and data mining Solid experience in digital analytics tools (e.g. Google Analytics, Adobe Analytics etc) Solid working knowledge of a data coding language (e.g. R, Python, SAS, SQL) Strong experience using data visualisation tools (e.g. Tableau, Power BI etc) Advanced knowledge of Excel, PowerPoint etc Essential skills Ability to communicate insights and make recommendations that engage More ❯
use of ML techniques BASIC QUALIFICATIONS - 5+ years of data scientist experience - Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) - Experience with statistical models e.g. multinomial logistic regression - Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) - Experience working More ❯
data to draw insights by using various tools (Excel, Qlikview, Tableau, etc.) to analyse complex datasets, draw conclusions, and present insights/findings/solutions Knowledge of SQL/SAS/databases (automation, report generation, root cause analysis, writing complex queries) is advantageous but not essential Why Work for AIB: We are committed to offering our colleagues choice and More ❯
data to draw insights by using various tools (Excel, Qlikview, Tableau, etc.) to analyse complex datasets, draw conclusions, and present insights/findings/solutions Knowledge of SQL/SAS/databases (automation, report generation, root cause analysis, writing complex queries) is advantageous but not essential Why Work for AIB: We are committed to offering our colleagues choice and More ❯
use of ML techniques BASIC QUALIFICATIONS - 5+ years of data scientist experience - Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) - Experience with statistical models e.g. multinomial logistic regression - Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) - Experience working More ❯
work efficiently both in a team environment and alone and unsupervised Skills that will help: • Advance knowledge of Tableau • Intermediate knowledge of Alteryx • Data Mining Experience using SQL/SAS querying • Understanding of Reporting Data Governance • High aptitude for self-motivation and self-determined project work • Process designer experience is a plus Benefits of working at Bank of America More ❯
to deliver high performance, motivate and lead on career development opportunities Ability to evangelize next-generation infrastructure in analytics space (batch, near real-time, real-time technologies), using both SAS components and AWS tooling (e.g., Redshift, SQS, Kinesis) Strong familiarity with spatial-temporal data sets, with exposure to maritime data preferred Experienced in evaluating, training, and communicating the performance … and accuracy. Develop a testing framework and test model quality Experience with deployment to production, using standard tools including GitHub, Jenkins, Sagemaker, Docker etc Advanced programming skills in SQL, SAS (desired), Python, and the ability to write production-level code Familiarity with the most standard Python libraries used in ML (e.g., Scikit-Learn, Pandas, Numpy, LightGBM, XGBoost, just to … and detail-oriented with a passion for digging into data and problem-solving Proficiency in developing code with Python and SQL Desirable: Experience in developing analytical models using the SAS platform, and/or experience writing models in SAS Proficiency with SAS Base Experience with AWS or similar cloud-based environments Prior experience in the Maritime industry More ❯
Manipulation, Identity Fraud, Account Takeover and False documentation Development experience and/or experience using analytical tools: Python, PHP, JavaScript, Java, Relational databases (Postgres, MS SQL, Oracle, Mysql, etc.), SAS PROC SQL, Hue Database Assistant, Teradata and non-rational Hadoop Some other highly valued skills may include: Advanced knowledge of malicious attack vectors used by cyber fraud adversaries Knowledge … of Enterprise security frameworks such as NIST Cybersecurity Framework and Cyber-attack phases Previous advanced experience using analytical tools and platforms such as SQL/SAS/Hue/Hive Basic, Quantexa, Elastic Search, SAS and MI tools like Tableau and Power BI Advanced knowledge of Technical experience or knowledge in computing, computer science and networks You may More ❯
Manipulation, Identity Fraud, Account Takeover and False documentation Development experience and/or experience using analytical tools: Python, PHP, JavaScript, Java, Relational databases (Postgres, MS SQL, Oracle, Mysql, etc.), SAS PROC SQL, Hue Database Assistant, Teradata and non-rational Hadoop Some other highly valued skills may include: Advanced knowledge of malicious attack vectors used by cyber fraud adversaries Knowledge … of Enterprise security frameworks such as NIST Cybersecurity Framework and Cyber-attack phases Previous advanced experience using analytical tools and platforms such as SQL/SAS/Hue/Hive Basic, Quantexa, Elastic Search, SAS and MI tools like Tableau and Power BI Advanced knowledge of Technical experience or knowledge in computing, computer science and networks You may More ❯
Manipulation, Identity Fraud, Account Takeover and False documentation Development experience and/or experience using analytical tools: Python, PHP, JavaScript, Java, Relational databases (Postgres, MS SQL, Oracle, Mysql, etc.), SAS PROC SQL, Hue Database Assistant, Teradata and non-rational Hadoop Some other highly valued skills may include: Advanced knowledge of malicious attack vectors used by cyber fraud adversaries Knowledge … of Enterprise security frameworks such as NIST Cybersecurity Framework and Cyber-attack phases Previous advanced experience using analytical tools and platforms such as SQL/SAS/Hue/Hive Basic, Quantexa, Elastic Search, SAS and MI tools like Tableau and Power BI Advanced knowledge of Technical experience or knowledge in computing, computer science and networks You may More ❯
Manipulation, Identity Fraud, Account Takeover and False documentation Development experience and/or experience using analytical tools: Python, PHP, JavaScript, Java, Relational databases (Postgres, MS SQL, Oracle, Mysql, etc.), SAS PROC SQL, Hue Database Assistant, Teradata and non-rational Hadoop Some other highly valued skills may include: Advanced knowledge of malicious attack vectors used by cyber fraud adversaries Knowledge … of Enterprise security frameworks such as NIST Cybersecurity Framework and Cyber-attack phases Previous advanced experience using analytical tools and platforms such as SQL/SAS/Hue/Hive Basic, Quantexa, Elastic Search, SAS and MI tools like Tableau and Power BI Advanced knowledge of Technical experience or knowledge in computing, computer science and networks You may More ❯
e.g. multivariate regression analysis, Monte Carlo simulation, cost improvement curve analysis) • Technical understanding of satellite systems • Experience using risk analysis software Crystal Ball) • Experience using statistical analysis software (e.g. SAS, SPSS, etc) • ICEAA certification; either Certified Cost Estimator/Analyst (CCEA More ❯
Use mathematical concepts and techniques to solve complex GEOINT analysis problem sets; understand concepts associated with structured data and relational databases • Use tools, such as Arc GIS, Excel, SPSS, SAS, MatLab, R, or other statistical packages, to analyze and visualize operational data; visualize data both temporally and spatially to assist in data integrity checks, prepare for follow-on analysis More ❯
e.g. TSYS, PowerCurve) gained from implementing models in such systems or using them to monitor models and report on outputs Advanced knowledge of at least one programming language, e.g. SAS, R, Python, SQL Experience in independently validating/reviewing or building models Experience of leading a project-based team in a fast-paced environment, including effective resource management, positive More ❯
college or university Eight (8) years of relevant experience analyzing datasets and developing analytics Five (5) years of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB Master's degree in relevant discipline may be substituted for two (2) years of relevant experience reducing the requirement to six (6) years of relevant experience analyzing … datasets and developing analytics, and three (3) years of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB. A PhD in relevant discipline may be substituted for four (4) years relevant experience reducing the requirement to four (4) years of relevant experience analyzing datasets and developing analytics, and one (1) year of experience programming … with data analysis software such as R, Python, SAS, or MATLAB. In lieu of a bachelor's degree, an additional four (4) years of relevant experience may be substituted for a total of twelve (12) years of relevant experience analyzing datasets and developing analytics, and nine (9) years of experience programming with data analysis software such as R, Python More ❯
