1 to 25 of 148 Statistical Analysis Jobs

required. Project Description: We are seeking a highly experienced Data Scientist with deep expertise in Python and advanced machine learning techniques. You need to have a strong background in statistical analysis, big data platforms, and cloud integration, and you will be responsible for designing and deploying scalable data science solutions. Responsibilities: Develop and deploy machine learning, deep learning … and predictive models. Perform statistical analysis, data mining, and feature engineering on large datasets. Build and optimize data pipelines and ETL workflows. Collaborate with data engineers and business stakeholders to deliver actionable insights. Create compelling data visualizations using tools like Tableau, Power BI, Matplotlib, or Plotly. Implement MLOps practices, including CI/CD, model monitoring, and lifecycle management. … NumPy, SciPy, Scikit-learn, TensorFlow, or PyTorch. Proven ability to design, develop, and deploy machine learning, deep learning, and predictive models to solve complex business problems. Strong background in statistical analysis, data mining, and feature engineering for large-scale structured and unstructured datasets. Experience working with big data platforms (Spark, Hadoop) and integrating with cloud environments (AWS, Azure More ❯

scholarship and service. We thrive on innovation, making an impact, and fostering an environment where staff and faculty are key contributors to UC's success. Job Overview Perform business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining to create high quality reports to be used for operational and executive level decision making … with data architect or application specialists to identify the data sources required to support an analytical project or development of a complex report. Research, collect, develop, and implement data analysis for gap, competition landscape, and infrastructure alignment.Utilize ETL tools to automate standard reporting.Evaluate various data sets, identify new types of data and data sources to determine patterns; synthesize data … Academic Unit Reviews, and other ad-hoc projectsPerform related duties based on departmental need. This job description can be changed at any time. Required Education Bachelor's degree involving statistical analysis, scientific method, and survey research, such as Mathematics, Business Analytics, Computer Science, Social Sciences or other similar disciplines. Required Experience At least three (3) years of experience More ❯

fraud, not customers. See what others can't at What you'll achieve As a Senior Data Scientist you will develop and implement machine learning models, perform advanced data analysis, and identify patterns and trends to improve the efficiency and usability of our products and services. You will also be responsible for creating insightful reports and dashboards to support … data-driven decision-making across the organization. Responsibilities Understand business problems and conduct statistical analysis independently. Break down hard problems. Communicate effectively to senior stakeholders. Deliver value end-to-end. Self-serve data engineering and infrastructure as required. Make recommendations on best practice in terms of analysis, machine learning and data science. Have a transformative presence in … the team. Develop and implement machine learning models, including feature engineering, model design, training, and deployment. Perform data mining, exploration, and statistical analysis to uncover trends and actionable insights. Create data visualizations, reports, dashboards, and perform data audits. Leverage predictive models to optimize customer experiences and drive business outcomes. Create automated anomaly detection systems to monitor and ensure More ❯

Role: Statistical Data Analyst Bill Rate: $93/hour C2C Location: Austin, TX Duration: 12+ months/long-term Interview Criteria: Telephonic + Skype Direct Client Requirement Necessary position providing expert statistical analysis and modeling to support business decisions. Essential Functions Providing expert statistical analysis and modeling to support business decisions. Ensuring data integrity and … validity through appropriate statistical methodologies. Interpreting complex data sets and presenting findings in an accessible manner. Developing predictive models and conducting hypothesis testing as required. Supporting our projects in improving data collection and analysis processes. Note: If you are interested, please share your updated resume and suggest the best number & time to connect with you. If your resume More ❯

Consultant, you will have the opportunity to: Solve complex client problems using a variety of data analytics technologies and techniques including but not limited to: data processing and engineering, statistical analysis, data visualisation, machine learning, simulation and optimisation techniques Develop solid and insightful analytics products using data engineering and data science techniques across a variety of industries and … business problems Lead the development of analytical work packages directly with Manager, Director or Managing Director support Support the development of complex data analytics tools and analysis' across the whole analytics project life cycle: Scoping, Design, Develop, Test and Deliver Work within a team of data analytics experts and collaborating closely with a range of industry leading specialists across … technical expertise across a number of technologies and techniques, covering at least 3 of the following Data Manipulation and ETL Data visualisation technology such as PowerBi, Tableau or Qlik Statistical analysis, AI and machine learning techniques Simulation and mathematical optimisation techniques Hands-on coding experience preferably with SQL, Python or R Cloud development expertise, preferably Microsoft Azure or More ❯

Experience Requirement: Institutional Research Analyst I: Bachelor's degree required in Computer Science, Mathematics, Statistics, Management Information Systems or related field. One year of work experience in a data analysis or research position with at least basic knowledge of Excel, Structured Query Language (SQL), STATA, or other similar tools. Experience working in a higher education environment, teaching or supervising … abilities could be considered. Institutional Research Analyst II: Bachelor's degree in Statistics, Mathematics, Management Information Systems, Computer Science, or a related field. Two years of experience performing data analysis, in a field such as Computer Science, Management Information Systems (MIS), or a related field, to include experience with data management tools such as Structured Query Language (SQL), Statistical Package for the Social Sciences (SPSS), Statistical Analysis System (SAS), or a related tool. Experience with complex data sets including manipulating, merging, restructuring, and analyzing large data sets. Experience working in a higher education environment, teaching or supervising, is helpful. Higher educational attainment and training may substitute for work experience if it can produce demonstratable evidence of More ❯

a fast-scaling consumer brand. You'll be the central expert on campaign measurement, attribution, and optimisation, guiding spend and targeting decisions across multiple channels. Alongside delivering hands-on analysis, you'll mentor a small team, partner with senior stakeholders, and ensure best practice in data-driven marketing decisions. Key Responsibilities Lead and mentor a small marketing analytics team … setting best practices and ways of working. Own full-funnel, cross-channel analysis covering acquisition, engagement, and retention. Improve campaign performance measurement through attribution modelling, incrementality testing, and media mix modelling. Partner with Data Science to develop predictive models (e.g. LTV, churn) to inform budget allocation. Build and maintain marketing forecast models to optimise spend and ROI. Conduct robust … statistical analysis to improve campaign testing methodologies. Deliver clear reporting and actionable insights to marketing, CRM, and executive stakeholders. Collaborate with Data Engineering to ensure reliable data pipelines and infrastructure. Champion a data-first approach across marketing and product teams. Skills & Experience Essential: 5+ years' experience in marketing analytics or a related data role. Proven ability to lead More ❯

annum Location: UK Hybrid - With occasional travel to a hub Contract Type : Permanent (full time) Our Team IFRS9 and Stress Testing team work at the intersection of Data Science, Statistical Modelling and Economics within Virgin Money's Model Risk and Analytics function. We use data to support the business through model building used for regulatory reporting or providing actionable … insights from the data. We draw on statistical modelling techniques to produce the best possible predictive models. What you'll be doing Operate as a modelling expert across all modelling projects and wider business development within IFRS9 and ST team. Lead the scoping, design, development, validation and implementation of credit risk models for unsecured Retail portfolios, in line with … Bank standards and regulatory compliance requirements. Independently leading statistical analysis to ensure the unsecured Retail portfolios loss provision models currently in operation remain robust and fit for purpose. Leading key discussions and presenting analytical findings and solutions to a range of stakeholders both within and external to the modelling area. Provide first-class model documentation and recommendation papers More ❯

and future business intelligence roadmap of XCM • Work closely with owners of data source systems to gain insights into their capabilities and limitations • Deliver minimally to moderately complex data analysis to support business needs • Adopt best practices in reporting, including ensuring data integrity, designing thorough testing, validating outputs, and maintaining comprehensive documentation Basic qualifications • 5+ years of analyzing and … such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets • Experience with forecasting and statistical analysis • Adjacency and understanding on media and marketing landscape • Experience in code review and version control tools, such as git Basic qualifications • 5+ years of analyzing and interpreting … such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets • Experience with forecasting and statistical analysis • Adjacency and understanding on media and marketing landscape • Experience in code review and version control tools, such as git If you are interested please apply or send More ❯

and future business intelligence roadmap of XCM • Work closely with owners of data source systems to gain insights into their capabilities and limitations • Deliver minimally to moderately complex data analysis to support business needs • Adopt best practices in reporting, including ensuring data integrity, designing thorough testing, validating outputs, and maintaining comprehensive documentation Basic qualifications • 5+ years of analyzing and … such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets • Experience with forecasting and statistical analysis • Adjacency and understanding on media and marketing landscape • Experience in code review and version control tools, such as git Basic qualifications • 5+ years of analyzing and interpreting … such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets • Experience with forecasting and statistical analysis • Adjacency and understanding on media and marketing landscape • Experience in code review and version control tools, such as git If you are interested please apply or send More ❯

and future business intelligence roadmap of XCM • Work closely with owners of data source systems to gain insights into their capabilities and limitations • Deliver minimally to moderately complex data analysis to support business needs • Adopt best practices in reporting, including ensuring data integrity, designing thorough testing, validating outputs, and maintaining comprehensive documentation Basic qualifications • 5+ years of analyzing and … such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets • Experience with forecasting and statistical analysis • Adjacency and understanding on media and marketing landscape • Experience in code review and version control tools, such as git Basic qualifications • 5+ years of analyzing and interpreting … such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets • Experience with forecasting and statistical analysis • Adjacency and understanding on media and marketing landscape • Experience in code review and version control tools, such as git If you are interested please apply or send More ❯

and future business intelligence roadmap of XCM Work closely with owners of data source systems to gain insights into their capabilities and limitations Deliver minimally to moderately complex data analysis to support business needs Adopt best practices in reporting, including ensuring data integrity, designing thorough testing, validating outputs, and maintaining comprehensive documentation Basic qualifications 5+ years of analyzing and … such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Experience with forecasting and statistical analysis Adjacency and understanding on media and marketing landscape Experience in code review and version control tools, such as git Basic qualifications 5+ years of analyzing and interpreting … such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Experience with forecasting and statistical analysis Adjacency and understanding on media and marketing landscape Experience in code review and version control tools, such as git If you are interested please apply or send More ❯

and future business intelligence roadmap of XCM • Work closely with owners of data source systems to gain insights into their capabilities and limitations • Deliver minimally to moderately complex data analysis to support business needs • Adopt best practices in reporting, including ensuring data integrity, designing thorough testing, validating outputs, and maintaining comprehensive documentation Basic qualifications • 5+ years of analyzing and … such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets • Experience with forecasting and statistical analysis • Adjacency and understanding on media and marketing landscape • Experience in code review and version control tools, such as git Basic qualifications • 5+ years of analyzing and interpreting … such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets • Experience with forecasting and statistical analysis • Adjacency and understanding on media and marketing landscape • Experience in code review and version control tools, such as git If you are interested please apply or send More ❯

and future business intelligence roadmap of XCM Work closely with owners of data source systems to gain insights into their capabilities and limitations Deliver minimally to moderately complex data analysis to support business needs Adopt best practices in reporting, including ensuring data integrity, designing thorough testing, validating outputs, and maintaining comprehensive documentation Basic qualifications 5+ years of analyzing and … such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Experience with forecasting and statistical analysis Adjacency and understanding on media and marketing landscape Experience in code review and version control tools, such as git Basic qualifications 5+ years of analyzing and interpreting … such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Experience with forecasting and statistical analysis Adjacency and understanding on media and marketing landscape Experience in code review and version control tools, such as git If you are interested please apply or send More ❯

address business problems by understanding the characteristics of data sets, identifying patterns, and training end users on completed solutions to drive adoption. Analyze large and complex data sets using statistical methods and data visualization tools to support storytelling. Continuously monitor and evaluate data sources and analysis methods to ensure accuracy and reliability. Develop and maintain an understanding of … well as external sources, as needed to support analytic efforts. Work with stakeholders across functional departments to answer data-related questions and assist with ad hoc reporting and data analysis projects. Support the creation and maintenance of high-quality data at all phases of the lifecycle by contributing to decisions impacting data creation, transformation, storage, and governance. Stay up … Bachelor's or Master's degree in a relevant field (e.g. data science, statistics, communication, marketing) or equivalent experience. Experience: Required: Minimum of 7 years of experience in data analysis, visualization, and storytelling. Proven ability to explain complex concepts to non-technical audiences. Desired: Experience working in consulting, legal, or other professional environments that require continuous learning and regular More ❯

reporting and evaluation. The opportunity We are seeking an experienced Data Analyst to join the team The primary role of Data Analyst is to generate business intelligence, through the analysis of data, to convey insight and to measure and optimise the effectiveness of marketing. The Data Analyst will own strategic reporting and ensure KPIs, forecasts and targets are data … the best digital and CRM data Performance reporting and insight Drive the interpretation of cross-channel performance to support decision-making and campaign planning Support campaign leads with performance analysis, identifying variances from forecasts and recommending corrective action Collaborate with Analysts and Marketing to ensure reporting accuracy and data consistency Communication and collaboration Communicate effectively and professionally with internal … and support our Digital Analyst and Data Executives in forecasting, reporting and performance evaluation Data management Data manipulation and pre-processing: Acquire, extract, organise, deduplicate and transform data for analysis and reporting Data quality: Measure and manage data quality in the database to ensure data is kept updated and gaps addressed Segmentation: In conjunction with the Data Executive, ensure More ❯

reporting and evaluation. The opportunity We are seeking an experienced Data Analyst to join the team The primary role of Data Analyst is to generate business intelligence, through the analysis of data, to convey insight and to measure and optimise the effectiveness of marketing. The Data Analyst will own strategic reporting and ensure KPIs, forecasts and targets are data … the best digital and CRM data Performance reporting and insight Drive the interpretation of cross-channel performance to support decision-making and campaign planning Support campaign leads with performance analysis, identifying variances from forecasts and recommending corrective action Collaborate with Analysts and Marketing to ensure reporting accuracy and data consistency Communication and collaboration Communicate effectively and professionally with internal … and support our Digital Analyst and Data Executives in forecasting, reporting and performance evaluation Data management Data manipulation and pre-processing: Acquire, extract, organise, deduplicate and transform data for analysis and reporting Data quality: Measure and manage data quality in the database to ensure data is kept updated and gaps addressed Segmentation: In conjunction with the Data Executive, ensure More ❯

reporting and evaluation. The opportunity We are seeking an experienced Data Analyst to join the team The primary role of Data Analyst is to generate business intelligence, through the analysis of data, to convey insight and to measure and optimise the effectiveness of marketing. The Data Analyst will own strategic reporting and ensure KPIs, forecasts and targets are data … the best digital and CRM data Performance reporting and insight Drive the interpretation of cross-channel performance to support decision-making and campaign planning Support campaign leads with performance analysis, identifying variances from forecasts and recommending corrective action Collaborate with Analysts and Marketing to ensure reporting accuracy and data consistency Communication and collaboration Communicate effectively and professionally with internal … and support our Digital Analyst and Data Executives in forecasting, reporting and performance evaluation Data management Data manipulation and pre-processing: Acquire, extract, organise, deduplicate and transform data for analysis and reporting Data quality: Measure and manage data quality in the database to ensure data is kept updated and gaps addressed Segmentation: In conjunction with the Data Executive, ensure More ❯

reporting and evaluation. The opportunity We are seeking an experienced Data Analyst to join the team The primary role of Data Analyst is to generate business intelligence, through the analysis of data, to convey insight and to measure and optimise the effectiveness of marketing. The Data Analyst will own strategic reporting and ensure KPIs, forecasts and targets are data … the best digital and CRM data Performance reporting and insight Drive the interpretation of cross-channel performance to support decision-making and campaign planning Support campaign leads with performance analysis, identifying variances from forecasts and recommending corrective action Collaborate with Analysts and Marketing to ensure reporting accuracy and data consistency Communication and collaboration Communicate effectively and professionally with internal … and support our Digital Analyst and Data Executives in forecasting, reporting and performance evaluation Data management Data manipulation and pre-processing: Acquire, extract, organise, deduplicate and transform data for analysis and reporting Data quality: Measure and manage data quality in the database to ensure data is kept updated and gaps addressed Segmentation: In conjunction with the Data Executive, ensure More ❯

reporting and evaluation. The opportunity We are seeking an experienced Data Analyst to join the team The primary role of Data Analyst is to generate business intelligence, through the analysis of data, to convey insight and to measure and optimise the effectiveness of marketing. The Data Analyst will own strategic reporting and ensure KPIs, forecasts and targets are data … the best digital and CRM data Performance reporting and insight Drive the interpretation of cross-channel performance to support decision-making and campaign planning Support campaign leads with performance analysis, identifying variances from forecasts and recommending corrective action Collaborate with Analysts and Marketing to ensure reporting accuracy and data consistency Communication and collaboration Communicate effectively and professionally with internal … and support our Digital Analyst and Data Executives in forecasting, reporting and performance evaluation Data management Data manipulation and pre-processing: Acquire, extract, organise, deduplicate and transform data for analysis and reporting Data quality: Measure and manage data quality in the database to ensure data is kept updated and gaps addressed Segmentation: In conjunction with the Data Executive, ensure More ❯

databases. Proven experience with Informatica Cloud, including strong knowledge of Informatica Data Quality (IDQ) for data profiling, cleansing, and monitoring. Strong analytical and problem-solving skills, with expertise in statistical analysis and data modeling. Proficiency in data visualization tools (e.g., Tableau, Power BI). Experience with ETL processes, data warehousing, and data pipeline development. Excellent communication skills, with More ❯

including IS&T, school-based career liaisons and departments, Institutional Research and Decision Support (IRADS), and University Advancement (UA). Responsibilities: Data Analytics and Reporting Utilize Excel and other statistical software (e.g., Python) to compile, clean, analyze, and verify large data sets: First-Destination Survey (FDS), employer surveys, and KPIs, including student and employer engagement/satisfaction data, event … with time-sensitive deadlines that may fluctuate. Strong technical acumen with demonstrated fluency in standard business software, such as the Microsoft Office suite, databases, reporting applications, data cleaning and analysis, Power BI/Tableau/data visualization tools, Qualtrics, and project management tools. Demonstrated ability to handle confidential information and display sound judgment and ethics. Excellent written and oral … communication skills, and ability to communicate to diverse constituent groups. Desired Qualifications: 1-2 years' experience as a systems administrator and/or independently assisting functional users with data analysis and reporting needs. Experience with designing and administering surveys, conducting post-collection statistical analysis and data storytelling. Basic skills in SPSS, R, Python, or other comparable statistical More ❯

and optimize SQL queries for data extraction, manipulation, and analysis. Collaborate with cross-functional teams (business, product, operations, and technology) to define data needs and deliver actionable insights. Apply statistical techniques and data modeling to evaluate business performance and forecast future outcomes. Ensure accuracy, integrity, and security of datasets by implementing proper data governance practices. Present clear, concise, and … field. Proven experience as a Data Analyst or in a similar role. Strong proficiency in SQL, Excel, and data visualization tools (Tableau, Power BI, or similar). Familiarity with statistical analysis and data modeling techniques. Experience with Python or R for data manipulation and analysis (preferred). Excellent problem-solving skills with attention to detail. Strong communication … skills to explain complex data in simple terms. Preferred Qualifications Experience working with large datasets and relational databases. Knowledge of data warehousing concepts and ETL processes. Background in business analysis or domain-specific data analytics. What We Offer Pre job Industrial Training to prepare you for the job. Certification, resume preparation will be done. Employer's Confirmation Letter/ More ❯

PySpark, DataFrames, storage formats such as Parquet, Avro, Iceberg, Delta Lake), Orchestration and DevOps Business Intelligence and analytics tools (Tableau, PowerBI, MicroStrategy, ThoughtSpot, SAS, Streamlit) and techniques (time series analysis, advanced SQL, statistical analysis) AI/ML fundamentals (classification, regression, clustering, dimensionality reduction, NLP and language models) Our ideal candidate helps bring structure and clarity in complex More ❯

informs NHSdecision-making.This Level 4 Apprenticeship is a great chance to build a data career while making areal impact. You'll gain practical experience in coding, data science and statisticalanalysis, while developing key skills like communication, teamwork and problem solving.Eligibility criteria:o Not currently in full-time education or holding a similar/higher-level qualification inthis subject.o Must have … a range of activities to support Data & Insight, from collecting data to providing insight to inform business decisions. You will learn how to interrogate data and how to provide analysis to both internal and external customers. You will learn about, and work in areas such as: Database Design Data Visualisation Cloud Platform Deployment Interpreting data Statistical analysis … used to provide insight and report any data limitations. 4. Using Business Intelligence tools to interrogate, analyse and visualise data. 5. Use programming languages and tools for data manipulation, analysis, and visualization 6. Communicating findings effectively to technical and non-technical audiences 7. Ensuring data security, information governance and ethical principles are observed 9. Contributing effectively to team meetings More ❯