and Reporting SOPs and project data standards. • Able to re-in force the compliance. • Fast learner, team-oriented, able to work independently. • Knowledge of SAS programming SAS/STAT SAS/BASE, SAS macro language. Experience with SAS on PC and UNIX platforms. Qualifications and … demonstrate initiative and flexibility through effective and innovative leadership. Attention to detail and quality focused, excellent interpersonal and communication skills, innovative, and collaborative behaviours SAS programming skills for QCing critical outputs, Efficacy/Safety tables, and working closely with Programmers. Knowledge of R programming (R Shiny/Python) Why more »
and marketing mix modeling. Prior experience in a consulting or agency setting is a plus. Technical Skills: Proficiency in statistical software (e.g., R, Python, SAS) and database querying languages (e.g., SQL). Strong understanding of statistical modeling, forecasting, and data analysis techniques. Experience with data visualization tools (e.g., Tableau more »
Engineering. Prior experience in Credit Risk Model Development or Model Validation within the banking or financial industry. Proficiency with Data Analysis tools such as SAS, Python, and MS Suite (Word, Excel, PowerPoint, Project, Visio, and SharePoint). Previous experience in the banking or financial industry with knowledge of capital more »
indicators as well as recommendations to senior leaders Experience in quantitative research or analyses Experience in program/project management Experience working with SPSS, SAS or other statistical software packages Experience utilizing SQL Advanced Excel and Access skills Preferred qualifications Analysis experience in Advanced Planning & Optimization Systems, or Enterprise more »
in data manipulation and analytical techniques Ability to derive and communicate insight from data/Management Information Competent in Microsoft Office, Intermediate Excel Intermediate SAS/SQL capability Qualifications Educated to Degree Level or equivalent; preferably in a numerate discipline. Personal Attributes Good written and verbal communication skills. Ability more »
CA, Masters in Statistics, Economics, Finance or Engineering. • Relevant experience in either Credit Risk Model Development or Model Validation • Experience with Data Analysis tools (SAS, Python) and MS Suite (Word, Excel, PPT, Project, Visio and SharePoint skills) • Prior experience in banking/financial industry with knowledge in capital and more »
of Pricing experience within General Insurance would be highly advantageous Highly skilled user of Emblem and Radar Excellent communication skills Prior experience of using SAS, SQL, or Python, Radar 2:1 or above in a highly numeric degree (or equivalent) such as Mathematics would be preferable Rewards and benefits more »
preferable but not a requisite. Good knowledge of pricing techniques, tools and software with technical proficiency using one of more of SQL, R, Python, SAS or similar. Strong analytical, problem-solving and communication skills, with the ability to work independently and collaboratively dependent on the focus at any time. more »
Hands-on analytical experience Power BI or comparable BI software (Tableau, Looker, Qlik, etc) SQL, R, Python or equivalent statistical modeling tools (e.g., Regress, SAS, etc more »
combination of technical knowledge, experience and judgement to identify available options and clearly set-out the way forward. What you'll need Experience of SAS, SQL, Java, Python, or other open source technologies used for analytics Significant experience in Data Management tooling and their application e.g. Atacama (Data Quality more »
data acquisition & wrangling, modelling, feature engineering and deployment What’s equally relevant is programming knowledge and a gift for coding using: R, Python, SQL, SAS or Spark You’ll also need the capability to deliver projects, collaborate with operational teams and be able to explain technical concepts to non more »
Google Drive suite, including Google Slides & Google Sheets Experience with Tableau or other data visualisation tools is a plus Experience with SQL, R, or SAS is a plus Deep passion for the sports industry POSITION DETAILS: Full Time Must be eligible to work in the UK WORKING CONDITIONS This more »
applications like o9 Technologies, Blue Yonder Kinaxis, Anaplan, and Toolsgroup is preferred. Statistical, Optimization, and Simulation skills through software tools and packages like R, SAS, CPLEX, or similar are desirable. Deep understanding of supply chain planning concepts including Merchandise Planning, Assortment Planning, Demand Management, Distribution Planning, Master Planning, and more »
to be successful as a Fraud Analytics Manager, you will need: A strong financial services analytics background Strong transaction fraud experience Strong skills in SAS, SQL, or Python Excellent communication skills A STEM degree A background in transaction fraud analytics Benefits Up to £100,000 + competitive benefits package more »
commercial insurance pricing. Personal lines pricing considered a plus Able to code in Python or similar languages as prior experience with any programming language (SAS, SQL, Big Query or a similar language) is preferred Highly motivated and ability to work off your own initiative Strong communication and interpersonal skills more »
TO APPLY Please register your interest by sending your CV to Gerard Matthews via the apply link on this page. Data Analyst, Data Analytics, SAS, Python, R, Data Modelling, Google Analytics, Adobe Analytics, Coremetrics, GA, AA, Clustering, Propensity Modelling, Segmentation, CRM, CRM Analytics, Marketing Analyst, Insight Analyst, Growth Analyst more »
Cardiff, Grangetown Community, South Glamorgan, United Kingdom
IntaPeople
Science, Mathematics, Statistics or Quantitative Methods (or equivalent experience). Good understanding of statistical methods applied to data analysis. Strong experience with R, Python, SAS, SPSS (or equivalent analytics software). The ability to describe statistical results to a non-statistical audience. Experience of processing large datasets and matching more »
such as trend analysis, linear regression, migration matrices, and replicating finance business logic are a requisite. in programming languages and data structures such as SAS, SQL, Python, Excel, VBA. PowerBI or other MI user interface software would be an advantage. to navigate large stakeholder groups while attaining the best more »
Responsibilities: Manage rate changes and implementation of new models and pricing algorithms. Contribute to the development of the pricing ecosystem. Build predictive models using SAS, RADAR, EMBLEM, and other software packages Help to shape the direction of the product with a forward-looking approach and willingness to experiment. Consider more »
methodologies (e.g., Waterfall, Agile, Scrum, DevOps, Testing), frameworks and best practices. Advanced working knowledge in SQL and relational databases (Teradata, Microsoft SQLServer, Oracle or SAS), as well as working familiarity with a variety of NoSQL databases and cloud-based data platforms such as Snowflake. Technical Business Analysis experience. A more »
maybe someone's first step into a more senior management role. Highly competent in Excel and SQL with a good working knowledge of Python, SAS, R or similar. A good understanding of credit bureau and open banking data structures. Able to present, interact and influence clearly with non-technical more »
equivalent in Mathematics, Statistics, Data science/analytics, or other relevant scientific. Previous Statistical Programming experience within the pharmaceutical industry essential. Excellent knowledge of SAS essential and R or Python. advantageous. Good working knowledge of data structures e.g. CDISC, SDTM, ADaM, Comprehension of clinical data standards (CDISC), TLFs, and more »
and efficiently to support business decisions Experience with BI Visualization tools (Tableau/Looker) - must have. Advanced knowledge in statistical tools and models (R, SAS, advanced statistical tools) - Advantage Great communication skills – you have full professional English skills and can clearly describe data to people from all departments A more »
similar tools Experience with data modeling, warehousing and building ETL pipelines Experience writing complex SQL queries Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED more »
STATISTICS, MATHEMATICS, COMPUTER SCIENCE) · PROVEN EXPERIENCE AS AN IT DATA ANALYST OR A SIMILAR ROLE · STRONG PROFICIENCY IN DATA MANIPULATION AND ANALYSIS TOOLS (E.G., SAS, SQL, PYTHON) · EXPERIENCE WITH DATA VISUALIZATION TOOLS (E.G., TABLEAU, POWER BI) · STRONG ATTENTION TO DETAIL AND ACCURACY IN DATA ANALYSIS · EFFECTIVE COMMUNICATION SKILLS TO more »
