1 to 25 of 70 Statistical Analysis Jobs

Job Description: AI Task Evaluation & Statistical Analysis Specialist Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). … Key Responsibilities Statistical Failure Analysis: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) Root Cause Analysis: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations Dimension Analysis: Analyze performance variations across finance sub-domains, file types, and task categories Reporting & Visualization: Create dashboards and … reports highlighting failure clusters, edge cases, and improvement opportunities Quality Framework: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings Stakeholder Communication: Present insights to data labeling experts and technical teams Required Qualifications Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition Programming: Proficiency in Python (pandas, scipy 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 ❯

drive business insights, product innovation, and operational efficiencies at IMS. This role plays a critical part in enhancing telematics, mobility, and insurance technology solutions through data-driven decision-making, statistical analysis, and AI-driven automation. The Senior Data Scientist works closely with Product Managers, Software Engineers and other Data Scientists to ensure scalable, production-ready models that provide … for large-scale datasets. Work on supervised, unsupervised, and reinforcement learning models to enhance decision-making. Leverage telematics, mobility, and insurance data to generate actionable insights and product improvements. Statistical Analysis and Data Modelling Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and business opportunities. Ensure robustness and scalability of data science pipelines, minimizing bias and … Julia, with proficiency in pandas, NumPy, SciPy, scikit-learn, TensorFlow, or PyTorch. Experience with SQL, NoSQL, and big data technologies (Spark, Hadoop, Snowflake, Databricks, etc.). Strong background in statistical modelling, probability theory, and mathematical optimization. Experience deploying machine learning models to production (MLOps, Docker, Kubernetes, etc.). Familiarity with AWS/GCP/Azure cloud ML platforms for More ❯

We are seeking a highly motivated and skilled Data Scientist to join our dynamic team. In this role, you will leverage your expertise in statistical analysis, machine learning, and data visualization to drive insightful business decisions. You will work closely with cross-functional teams to collect, analyze, and interpret vast datasets, transforming data into actionable strategies that can … similar analytical role. Strong programming skills in languages such as Python, R, or SQL. Experience with data visualization tools such as Tableau, Power BI, or Matplotlib. Solid understanding of statistical analysis and machine learning techniques. Excellent problem-solving abilities and attention to detail. Strong communication skills, with the ability to convey complex information to non-technical audiences. 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 ❯

make data collection/cleaning/storage more efficient Build new backend tools to help with data collection on Apple Silicon Can apply ML methods to help with data analysis (regression, sentiment analysis, computer vision, etc) Work cross-functionally and adapt analysis quickly Bonus: if Full stack engineer, a bonus would be building E2E applications (backend and … frontend) on iOS devices (using Xcode) The candidate has to be able to work exceptionally well and efficiently in a fast-paced environment and multitask between data analysis requests, tasks and projects.Skills Pro level Python R Track record working with complex datasets + integration across multiple systems Data Viz tools like R Shiny, Tableau Excellent communication skills Statistical analysis (hypothesis testing, statistical modeling, power analysis ) Git Very well organized Work exceptionally well in a fast-paced environment, and be able to multitask between tasks/projects Equal Opportunity Employer We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence More ❯

Gather data from various analytical databases and sources, and implement advanced statistical methodologies to optimize American Airlines operations; Obtain, manipulate, clean, and analyze structured and unstructured data from diverse sources; Conduct exploratory analyses including hypothesis testing, statistical inference and statistical analysis (predictive and/or prescriptive); Partner with business and technical stakeholders to translate challenging retail …/M-F. Job Location: Fort Worth, TX 2 years of experience as Analyst or any occupation in which the required experience was gained, and demonstrated experience in: Business analysis; Reporting and data analysis for sales or service teams; Advanced MS Excel and PowerPivot skills to model large amounts of data; Data visualization and reporting on Tableau or … Microsoft Power BI; Statistics and forecast modeling; Statistical and descriptive concepts and methodologies; SQL or related data querying and manipulating tool; Strong knowledge of quantitative analysis using Python; Pulling and analyzing data from complex and big data sources; Strong economic and market analysis skills; Strong analytical skills with work experience in dynamic environment; Demonstrated ability to solve More ❯

We are dedicated to continuous improvement of our processes to ensure all components of the water balance are as accurate as possible. You will need a strong background in statistical analysis and proficiency in data manipulation tools. If you are driven by challenging projects and providing high-quality, granular insight, you will find this role both rewarding and … and the water balance, ensuring timely and accurate completion. Work within the Leakage Data Team as we develop a new system and methodology for leakage management and reporting. Provide analysis of Zonal and DMA nightline data to explain movements and trend analysis. Identify errors, trends, and unusual activity through data analysis. Receive, interpret, input, and update technical information to … and alarms to reduce leakage and the impact of supply interruptions. What you'll need Skills/Qualifications/Experience: Educated to a degree level, including some level of statistical analysis experience (e.g., an undergraduate module in statistics). A strong understanding of statistical analytics. Proficiency in data manipulation tools. An understanding of the component parts of More ❯

you will be the analytical cornerstone of our SaaS products, Data Productivity Cloud and Maia. We are looking for a Player Coach; a seasoned expert who can deliver sophisticated analysis while mentoring a small, dedicated team. Your work will directly measure, understand, and optimise usage, adoption, and the business impact across our entire product suite. If you're a … business impact by measuring, understanding, and optimising the usage and adoption of our SaaS products, Data Productivity Cloud and Maia. You will be the primary analytical expert, applying deep statistical analysis, experimentation, and advanced techniques to large product telemetry datasets. You will drive Product Led Growth success by translating data insights into actions that directly influence key product …/data engineers. What we are looking for Significant experience in Product Analytics or Data Science with a proven track record of driving quantifiable business impact. Deep expertise in statistical analysis, experimentation, and advanced analytics techniques. The ability to analyse massive datasets from product telemetry (event streams, logs) and testing. Excellent communication and executive presentation skills, mastering data More ❯

customers, relating to data integrity, reporting accuracy, and performance insights are satisfied in a timely and efficient manner.The Data Analyst will lead and facilitate the use of various data analysis processes and tools, striving toward standardised data management and reporting practices across the business. The role supports forecasting, performance modelling, data-driven decision-making, and reporting for key business … customers and internal teams through accurate reporting, proactive analytics, and early identification of performance or process issues.Skills and Responsibilities *Support key business portfolios through the use of appropriate data analysis and problem-solving techniques to provide regular performance and trend reporting for products, services, or platforms, using data from multiple sources, with strong attention to detail and analytical rigor. … Perform statistical analysis including data categorisation, trend analysis, variance analysis, and identification of significant factors affecting business performance.*Monitor key metrics through dashboards and early warning systems to identify risks, inefficiencies, or opportunities for improvement.*Standardise data analysis and reporting methods across the business to drive simplicity, efficiency, and accuracy.*Responsible for producing, visualising, and More ❯

relating to data integrity, reporting accuracy, and performance insights are satisfied in a timely and efficient manner. The Data Analyst will lead and facilitate the use of various data analysis processes and tools, striving toward standardised data management and reporting practices across the business. The role supports forecasting, performance modelling, data-driven decision-making, and reporting for key business … and internal teams through accurate reporting, proactive analytics, and early identification of performance or process issues. Skills and Responsibilities *Support key business portfolios through the use of appropriate data analysis and problem-solving techniques to provide regular performance and trend reporting for products, services, or platforms, using data from multiple sources, with strong attention to detail and analytical rigor. … Perform statistical analysis including data categorisation, trend analysis, variance analysis, and identification of significant factors affecting business performance. *Monitor key metrics through dashboards and early warning systems to identify risks, inefficiencies, or opportunities for improvement. *Standardise data analysis and reporting methods across the business to drive simplicity, efficiency, and accuracy. *Responsible for producing, visualising, and More ❯

big data" sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and … document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards. Build pipelines for quality control, processing and analysis of raw targeted and un-targeted datasets. Develops and codes software programs and leverages algorithms and methodologies being developed by the scientific community for use cases of relevance to Altos Labs. Stay current with … such as Biology, Chemistry, Computer Science, Physics, etc. Relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong More ❯

Responsible for driving improvements in corporate systems by analyzing forecast and revenue data and implementing creative solutions to improve profitability; Utilize statistical analysis, simulations, predictive modeling, or other analytical methods to analyze data and develop practical solutions to business problems; Collect, pull, and push data to Oracle, Teradata, and HDFS storage using SQL, Spark, and data analysis technologies; Identify, analyze, and solve problems, and evaluate methods and results; Utilize statistical techniques including clustering, regression, and time series analysis to improve forecasting systems; Perform data analysis, model building, and output testing using SAS, R, and Python; Utilize optimization techniques including linear programming, dynamic programming, and gradient descent to optimize revenue in the corporate network … forecast; Present analysis and results to assist management with decision making; Automate manual processes to streamline the workflow of operations research groups; Interact with internal and external groups to ensure corporate systems meet the needs of all interested groups. Work Schedule: 40 hours per week/8 a.m.-5 p.m./M-F. Job Location: Fort Worth, TX More ❯

great work culture and environment Working with stakeholders across various teams Delivering insights on customers including demographic, LTV and engagement Regularly conducting a/b tests and other experiments Analysis incl. statistical analysis with tools such as Python/R desirable Development of some reports/dashboards in Tableau YOUR SKILLS AND EXPERIENCE The successful Product Data 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 ❯

of a broader data architecture Exposure to Microsoft Fabric implementations, including Azure Data Factory, SSIS, or SSRS Advanced Excel skills, including pivot tables, complex formulas, and macros Familiarity with statistical analysis tools such as Python, R, or SAS is advantageous Experience with Power Platform tools, including PowerApps, Power Automate, and DAX/M languages in Power BI Previous More ❯

improve services. You will also use your analytical expertise to identify trends, risks, and opportunities, ensuring housing services are efficient, tenant-focused, and sustainable. Principal duties and responsibilities: Perform statistical analysis, data mining and retrieval processes on a large amount of data, to identify trends, create management dashboards providing in-depth insights with a focus on identifying trends. … tools and techniques, such as surveys, focus groups, and data mining. Demonstrated experience in turning raw data into insights that influence business decisions and improve service delivery. Experience with statistical techniques, including trend analysis, segmentation, and regression analysis, to provide meaningful insights. Experience with SQL for querying databases. Solid understanding of key issues in social housing, such More ❯

improve services. You will also use your analytical expertise to identify trends, risks, and opportunities, ensuring housing services are efficient, tenant-focused, and sustainable. Principal duties and responsibilities: Perform statistical analysis, data mining and retrieval processes on a large amount of data, to identify trends, create management dashboards providing in-depth insights with a focus on identifying trends. … tools and techniques, such as surveys, focus groups, and data mining. Demonstrated experience in turning raw data into insights that influence business decisions and improve service delivery. Experience with statistical techniques, including trend analysis, segmentation, and regression analysis, to provide meaningful insights. Experience with SQL for querying databases. Solid understanding of key issues in social housing, such More ❯

e.g., MRI, Northgate, Civica, or Orchard) and the ability to apply advanced analytics to operational challenges in housing (desirable). Demonstrated experience in using machine learning, predictive modelling, and statistical analysis to solve real-world problems. Expertise in statistical modelling, predictive analytics, clustering, classification, and regression techniques. Strong background in data mining, pattern recognition, and anomaly detection More ❯

e.g., MRI, Northgate, Civica, or Orchard) and the ability to apply advanced analytics to operational challenges in housing (desirable). Demonstrated experience in using machine learning, predictive modelling, and statistical analysis to solve real-world problems. Expertise in statistical modelling, predictive analytics, clustering, classification, and regression techniques. Strong background in data mining, pattern recognition, and anomaly detection More ❯

Strategic Data Analytics. This position will oversee the insights team and processes within RPI. They will collaborate with leadership to facilitate effective, data-informed decision-making by employing diverse statistical analysis methods, including explanatory and predictive monitoring techniques. This is a hybrid position with the expectation being in the office 2-3 times per week. Essential Functions Create … and maintain dashboards in Tableau and Power BI.Lead cross-functional projects using advanced data modeling and analysis to discover insights that will guide strategic decisions and uncover optimization opportunities.Communicate and present results and business impacts of insight initiatives to stakeholders within college/unit and the University.Develop and maintain data models, automation systems, dashboards, reports and metrics that support … systems on premises and cloud-based data sources.Ability to perform effective querying involving multiple tables and subqueries (SQL, Python, R, etc.).Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for leadership.Experience and knowledge of statistics and statistical packages for analyzing large data More ❯

challenges and enhance efficiency. What You Will Have: Essential Skills & Expertise: Programming Proficiency: Strong command of programming languages, including Python, R, or SQL . BI & Analytics: Strong understanding of statistical analysis, and proven proficiency with data visualization tools (e.g., Tableau, Power BI ). Tool Competency: Highly competent user of the Microsoft ecosystem, including PowerApps, SharePoint, and Microsoft Office More ❯

challenges and enhance efficiency. What You Will Have: Essential Skills & Expertise: Programming Proficiency: Strong command of programming languages, including Python, R, or SQL . BI & Analytics: Strong understanding of statistical analysis, and proven proficiency with data visualization tools (e.g., Tableau, Power BI ). Tool Competency: Highly competent user of the Microsoft ecosystem, including PowerApps, SharePoint, and Microsoft Office More ❯

outcomes are more than a job. It's our passion. Primary Purpose As an experienced data analytic scientist, will be responsible for coordinating specific phases of data analytics (extraction, analysis, manipulation, synthesis, summary, validation, testing, and maintenance) with the objective of creating and building predictive models and algorithms for clinical and operational initiatives as identified by PCCI. Minimum Specifications … Education Must have a Masters Degree in Statistics, Applied Mathematics, Informatics, Computer Science, Operations Research, or a related field. Experience Must have three (3) years of experience in analysis of business related data and information systems. Must have research and development experience on predictive modeling, data mining and management, and other advanced analytics in the development of business intelligence … and technology transfer. Must have experience developing data mining solutions using various statistical software packages (Ex: R, Python, etc.) Prefer experience working with healthcare organizations and healthcare applications. Prefer experience working within a complex, academic healthcare organization. Equivalent Education and/or Experience May have an equivalent combination of education and experience to substitute for both the education and More ❯