1 to 25 of 89 Statistical Analysis Jobs

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 ❯

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 ❯

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 ❯

model performance and ensure accuracy. Extract and prepare data for model training and analysis. Collect, clean, and analyze data for program complexity estimation and forecasting. Develop and implement data analysis methods for determining program complexity drivers. Conduct meta-analysis studies to estimate actual work effort based on program complexity. Collaborate with cross-functional teams to ensure project success. … Strong analytical and problem-solving skills to understand complex data sets and derive actionable insights. PREFERRED EXPERIENCE: 3+ years of combined experience in machine learning model development, data analysis, and statistical modeling. Strong understanding of machine learning algorithms, model evaluation metrics, optimization techniques, and statistical analysis techniques. Demonstrated ability to implement, validate, and improve supervised and … machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, or related frameworks. Experience in evaluation metrics, model selection, and validation techniques such as cross-validation, bootstrapping, and assessing the statistical significance of model improvements. Excellent knowledge of data analysis, visualization, and preprocessing techniques. Familiarity with tools such as Pandas, NumPy, and Matplotlib. Experience deploying Classical and Modern Time 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 ❯

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 ❯

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 ❯

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 ❯

Parquet, Avro, Apache Iceberg, Delta Lake), Orchestration and DevOps Business Intelligence and analytics solutions such as Tableau, Power BI, MicroStrategy, Thoughtspot, SAS, Streamlit, and techniques such as time series analysis, Advanced SQL, and statistical analysis (e.g. Linear regression, variance analysis, modelling, and forecasting) AI/ML fundamental understanding of key concepts such as classification, regression, clustering 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 ❯