1 to 25 of 98 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 ❯

equipment, packaging technologies, and systems including robotics and high-speed manufacturing. - Experience with process design based on Lean Principles. - Experience with concepts like system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making. - Experience must involve ownership/management of engineering design projects - Experience using business/technical software like MS Excel 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 ❯

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 ❯

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 ❯

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 ❯

ensure that required activities and outcomes established for LIHEAP are completed and within compliance per the contracted time frame. Other similar projects may be assigned. The duties include: perform statistical analysis; analyze and update policies and procedures; monitor compliance of sub-grantees and provide technical assistance; seek funding sources for related activities; develop and design systems to improve … and reports; and perform related duties as required. Essential Functions: 1.Monitors, evaluates, collects and analyzes program data. Analyzes data gathered and develops solutions oralternative methods of proceeding. 2.Reviews, performs statistical analysis and interpretation of collected data relating to policies, procedures,organization, managerial and operational practices; 3.Prepares interpretative reports of program goals and objectives, provision of services and programs … conducting research studies. 9.Ability to establish and maintain effective working relationships with employees and or outside contacts andto deal tactfully with problems associated with management audits. 10.Ability to perform analysis of managerial systems and operations. 11.Ability to express and present ideas and conclusions clearly, concisely and effectively. 12.Ability to conduct studies. 13.Ability to collect data through interviews and consultations. 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 ❯

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 ❯

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 ❯

databases, surveys, interviews, and digital analytics tools. Monitoring and capturing information about market trends, competitor products, pricing strategies, and promotional activities. Cleaning and organizing raw data to prepare for analysis using statistical software and tools such as Excel, SPSS, R, Python, or Tableau. Analyzing data sets to identify patterns, trends, correlations, and opportunities within the market. Interpreting findings … meetings, webinars, or workshops as needed. Key Skills and experience: Bachelor’s degree in business, economics, statistics, marketing, or a related field. Strong proficiency in Microsoft Excel and basic statistical analysis; familiarity with advanced analytics tools (e.g., Tableau, Power BI, Python, R) is an asset. Excellent written and verbal communication skills for presenting complex data in accessible terms. More ❯

anomalies, and performance insights • Create visualizations and reports that translate technical findings into actionable insights for engineering teams • Write Python and Bash scripts to automate data collection, processing, and analysis workflows • Partner with engineering and product teams to understand algorithm architecture and translate requirements into test strategies • Collaborate with development teams to refine data collection and testing approaches Key … case development, and test strategy creation • Proven experience running data collection protocols and managing datasets • Strong experience with Python (and ideally Bash) scripting for data processing and automation • Data analysis and statistical interpretation skills • Strong attention to detail with excellent written and verbal communication Nice to have: • Background in machine learning, data science, or statistical analysis More ❯

insights, improving profitability, and empowering terminal teams with actionable intelligence. You'll develop dashboards, optimize processes, and provide recommendations on terminal capacity, pricing strategies, scheduling, and asset utilization. Your analysis will directly support decisions related to terminal operations, acquisition strategies, and long-term planning, enabling us to maximize value and operational performance. The ideal candidate will have strong analytical … frameworks to measure business performance, identify trends, and track progress against strategic goals. Translate ambiguous business questions into specific, testable hypotheses and analytical plans; proactively identify areas where data analysis can deliver significant value. Lead the end-to-end development, delivery, and optimization of BI solutions, including dashboards and reports, utilizing SQL and BI platforms (Tableau, Power BI, etc. … Collaborate with central data teams to influence the design and evolution of data models and infrastructure needed to support robust Terminal analytics and data capabilities. Explore and apply appropriate statistical techniques or basic forecasting models to address specific Terminal challenges, such as customer behavior analysis or demand planning (nice-to-have). Champion data quality, consistency, and governance 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 ❯