51 to 75 of 289 Permanent Statistical Analysis Jobs

ETL pipelines to creating reporting in Quicksight or Excel. • Gather business requirements from key stakeholders in Finance and Business teams, and translate into scalable and automated solutions. • Provide informed analysis, insight and recommendations around our business metrics to drive optimisation and more effective decision making. • Build strong relationships with the Data Engineering and Core Analytics Tooling teams to enhance … and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for More ❯

Customer First' ethos, creating unforgettable package holidays and flights. We couldn't do it without our wonderful people. What you'll be doing: You'll use machine learning and statistical modelling tools to generate customer, marketing, and commercial insights, which in turn will inform marketing strategy, pricing & product development for the business. You'll identify efficiencies in the use … and models to understand how changes in metrics in one area of the business impact other areas. What you'll have: Experience in using R, Python, or a similar statistical analysis package. Strong SQL skills and the ability to create clear data visualisations in tools such as Tableau or Power BI. Experience in developing and deploying predictive models More ❯

from various sources to identify trends and insights. Collaborate with departments, including Sales, Marketing, Product, Engineering, and Client Success, to understand their data needs and provide tailored insights. Provide statistical analysis to validate experiment results and recommend next steps. Ensure data integrity by regularly auditing and maintaining data cleanliness within systems like CRMs and marketing platforms. Partner with … activation rates, and drop-off points. Qualifications A Bachelor's Degree in Data Analytics, Statistics, Computer Science, or a related field. Minimum of 4 years experience in a data analysis or similar role, preferably within a fast-paced SaaS or technology environment. (Scaleup experience is a plus) Proficiency in data analysis tools and languages, such as Python, R … or similar for advanced data manipulation and analysis. Have an understanding of the data pipeline, with a familiarity of ETL processes to ensure clean, usable data. Familiarity with statistical analysis techniques e.g., regression, hypothesis testing. Experience working with large datasets and deriving actionable insights. Proficient in Lucene query syntax for querying and analysing data in OpenSearch. Strong SQL More ❯

business functionality. As a Data Product Developer, you'll play a crucial role in shaping our data-driven solutions. This position can be considered "Full Stack", combining Data Science analysis with engineering solutions for final product delivery to our clients. We're looking for someone with a positive, entrepreneurial mindset who can collaborate effectively with cross-functional teams to … build innovative data products and seamlessly integrate AI capabilities into our existing business functionality. The role entails: Data Analysis: Dive into complex datasets, extracting meaningful insights, and identifying patterns. Collaborate with stakeholders to understand business requirements and translate them into actionable data strategies. Python Coding: Write efficient, maintainable code for processing and transforming data. Collaborate with data engineers to … large datasets from various sources to uncover insights and patterns. Collaborate with cross-functional teams to understand business objectives and translate them into new data products Perform data mining, statistical analysis, and predictive modelling to drive business decisions. Build data architecture and pipelines to support data products Build predictive models for various business applications (e.g., Research Pricing, recommendation More ❯

Customer Experience problems while partnering with research scientists, software developers, and business leaders. With the focus on driving real impact on Amazon's long-term profitability, we build new analysis from ground up, proposing new concepts and technology to meet business needs. We need strong BIEs who enjoy and excel at diving into data, analyzing root causes, defining long … with different stakeholders to drive improvements over time. You will also work closely with internal business teams to extract or mine information from our existing systems to create new analysis, and expose data from our group to wider teams in intuitive ways. As a BIE embedded in the product team you have the opportunity to participate and shape product … constructively critique peer research, extract and manipulate data across various data marts, and align research focuses on Amazon's strategic needs. A day in the life • Perform complex data analysis (correlations, regressions, simulations, optimization, etc.) and identify improvement opportunities on key customer experience metrics (sales, speed perception, Prime benefits, reduce ship costs, etc.). • Own end-to-end program More ❯

datasets, and share insights to optimise category performance. You will collaborating with In-Stock Merchandising team and will manage another Data Analyst to drive NPD, category decision-making, and analysis in product buying and inventory management. Key responsibilities of this Lead Data Scientist – Category Management: Partner with the Data Team to measure and report on availability levels and their … experience in analytics or data science, preferably in grocery, operations, marketing or consumer products. Open to experience in Investment Banking as Senior Associate or VP level Strong understanding of statistical analysis and experiment design. Ideally a bachelor’s degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine More ❯

datasets, and share insights to optimise category performance. You will collaborating with In-Stock Merchandising team and will manage another Data Analyst to drive NPD, category decision-making, and analysis in product buying and inventory management. Key responsibilities of this Lead Data Scientist – Category Management: Partner with the Data Team to measure and report on availability levels and their … experience in analytics or data science, preferably in grocery, operations, marketing or consumer products. Open to experience in Investment Banking as Senior Associate or VP level Strong understanding of statistical analysis and experiment design. Ideally a bachelor’s degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine More ❯

communicate and drive corrective action. Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations Apply Statistical and Machine Learning methods to specific business problems Partner with Machine Learning team in Model Building w.r.t. variable definition, model validation and creation of a targeting strategy Own the … interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for More ❯

and provide forward looking recommendations to enable strategic decision making and growth of Private Pricing. • Support the development of continuously-evolving business analytics and data models, own the quantitative analysis of the performance of our sales team, customers, deal team, partners, markets, and products/services. • Develop a deep understanding of sales metrics, reporting tools, and data structures in … as business reviews, annual planning, and forecasting processes. • Create operational templates and processes to compile and standardize disparate information that drive standardized reporting and metrics tracking. • Generate ad-hoc analysis and reports with actionable recommendations based on the needs of the stakeholders, through ad-hoc data retrieval and analysis from data management systems, • Create new mechanisms and business … stakeholders to translate between data and business needs - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of design of experiments and statistical analysis of results. Additional experience with theory and practice of information retrieval, data science, machine learning and data mining. PREFERRED QUALIFICATIONS - Experience managing, analyzing and communicating results to More ❯

environment; will be a creative and an analytical problem solver with the opportunity to fulfill the Amazon motto to "Work Hard. Have Fun. Make History". Key job responsibilities - Analysis of business requirements and translation into technical requirements. By support of senior colleagues integration into a working, stable and scalable system - Independent realization of requirements for Business Intelligence and … interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for More ❯

other data-driven activities -Partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights -Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation -Learn new technology and techniques to meaningfully support product and process innovation BASIC QUALIFICATIONS - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. … experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Bachelor's degree in BI, finance More ❯

understood by the rest of the team Develop and maintain best practices in data engineering and data analytics while following Agile DevSecOps methodology Desired Skills: Strong analytical skills, including statistical analysis, data visualization, and machine learning techniques Strong understanding of programming languages like Python, R, and Java Expertise in building modern data pipelines and ETL (extract, transform, load More ❯

Data and Analytics Machine Learning, AI, Python, Business Inteligence, Power BI, Snowflake Opportunity to join a Not-for-Profit organisation who are creating a new Data Division. Currently Data Analysis is reactive. Move towards a proactice data department with the remit to create value from the unique data points this organisation is generating. Responsible for strategic growth, data governance … using tools such as Power BI, Tableau, Qlik Experience of launching projects using AI/ML Hands-on skills with SQL, Python and from a Proof of Concept basis, Statistical Analysis (forecasting/Data Science) and genrating models for ML 3 days a week in the office More ❯

which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and … a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data … manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical More ❯

which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and … a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data … manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical More ❯

is currently hiring a Data Scientist to provide technical support to a federal agency. In this role, the Data Scientist will design and apply machine learning models, conduct detailed statistical analysis, and partner with cross-functional teams to deliver data-driven solutions. The successful candidate will have expertise in data science methodologies and tools, and strong communication skills … to support effective collaboration. This position requires an active Secret clearance. Key Responsibilities: Design and implement machine learning models, including those using large language models Conduct statistical analysis to uncover trends, patterns, and verify insights Work alongside data engineers to operationalize models into production environments Partner with analysts and visualization teams to clearly present findings Collaborate with stakeholders … will be considered in conjunction with applicable degrees) A minimum of 3 years of experience working in data science or machine learning Strong skills in machine learning techniques and statistical modeling (preferred: experience with sampling methods and LLMs) Hands-on proficiency with SQL, Python, and other data-focused programming languages (Azure experience is a plus) Proven problem-solving and More ❯

team, driven fundamentally from our customers' needs, translating those directions into specific plans for engineering teams. Design and execute machine learning projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring. Drive end-to-end statistical analysis that have a high degree of ambiguity, scale, and complexity. Research and develop advanced Generative AI … based solutions to solve diverse customer problems. BASIC QUALIFICATIONS - 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance … cause and effect relationships. Have a history of building systems that capture and utilize large data sets in order to quantify performance via metrics or KPIs. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. PREFERRED QUALIFICATIONS - Experience in Python, Perl, or another scripting language - Experience in a ML More ❯

understanding of our content and data, improving how we manage, process and use that data in support of PLOS's goals. You will be tasked with the large-scale analysis of our broad and varied collection of scholarly content, which includes research articles and associated data sets, and line of business data and information. This will require working with … structured and unstructured data, a large corpus of scholarly articles, using programmatic techniques such as statistical analysis, natural language processing, information retrieval, and machine learning. You will also work with the rest of the team to turn your insights and software prototypes into production services that improve the utility of this data for both our end users and … internal stakeholders. Responsibilities Create and use machine learning models, statistical analysis, natural language processing to improve scientific content workflows, enhance discoverability, and support Open Science initiatives. Collect, clean, and analyze large datasets of scientific content and related information from various sources, ensuring data quality and integrity. Build and test predictive models and machine learning algorithms for tasks such More ❯

Data & Analytics team and different business stakeholders Strategic Analytics & Insights • Improve and run advanced Python-based machine learning models utilised for prediction of customer engagement • Apply expertise in quantitative analysis and data mining to understand customer behaviour and inform strategy • Guide teams to develop metrics and run impactful A/B experiments • Partner with senior stakeholders to translate business … requirements into technical solutions Hands-On Technical Delivery • Build and maintain ad-hoc data analysis leveraging Excel, Python or SQL in accordance with the task size • Design scalable data processes to support business operations • Monitor and evaluate performance of existing models and drive continuous improvement • Own end-to-end lifecycle of data products from scoping to delivery and iteration … Data and Analytics experience in a similar role • Ideally 2 years in a team leadership role or similar mentorship experience • Strong proficiency in Python and SQL • Good understanding of statistical methods and machine learning techniques with an ability to create both proactive and reactive analytical solutions to cover all aspects of the data function with a view on continuous More ❯

Data & Analytics team and different business stakeholders Strategic Analytics & Insights • Improve and run advanced Python-based machine learning models utilised for prediction of customer engagement • Apply expertise in quantitative analysis and data mining to understand customer behaviour and inform strategy • Guide teams to develop metrics and run impactful A/B experiments • Partner with senior stakeholders to translate business … requirements into technical solutions Hands-On Technical Delivery • Build and maintain ad-hoc data analysis leveraging Excel, Python or SQL in accordance with the task size • Design scalable data processes to support business operations • Monitor and evaluate performance of existing models and drive continuous improvement • Own end-to-end lifecycle of data products from scoping to delivery and iteration … Data and Analytics experience in a similar role • Ideally 2 years in a team leadership role or similar mentorship experience • Strong proficiency in Python and SQL • Good understanding of statistical methods and machine learning techniques with an ability to create both proactive and reactive analytical solutions to cover all aspects of the data function with a view on continuous More ❯

FOR? The Cloud and Data Engineering team is looking for data scientists who are passionate about enabling the next generation of automotive software development. Our data science engineers employ statistical modelling and measurement frameworks to model the distribution of road events in the real world, and inform our long-term validation and ML training data strategy. They embed within … data challenges, such as developing evaluation frameworks for AD/ADAS deployment readiness and the fidelity of simulation. The right candidate will have excellent communication skills, experience in using statistical methods in an applied setting and in developing metrics and evaluation frameworks, as well as familiarity with Machine Learning systems. RESPONSIBILITIES Use statistical modeling to shape the our … strategy for data acquisition (real and synthetic), validation and ML training Develop metrics and frameworks to understand the distribution and diversity of data Tackle ambiguous problems using data-driven analysis, and provide actionable insights to inform decision making and demonstrate business impact Communicate findings on complex technical topics to stakeholders across engineering leadership and product Embed with engineering teams More ❯

be involved in full spectrum analytic technical support to mission operations and the intelligence lifecycle: requirements collection and refinement, translating user requirements into technical requirements, environment configuration, exploratory data analysis, model development, selection, and evaluation, identifying insights from analytic products and then communicating those results to a nontechnical audience. To that end, you will work with cross-functional teams … practical experience. 4 - 6+ years of experience in computer science, data science, data analytics. Experience executing data science methods using python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization. Strong proficiency in programming languages such as Python. Agile development experience along with related technologies (e.g., Jira). Preferred Qualifications: Familiarity and … with the Intelligence Community (IC), and the intel cycle. Familiarity and experience with the Department of Homeland Security (DHS). Ability, openness, and eagerness to learn. Responsibilities: Establish advanced analysis and data visualization methodologies, models, and tools to derive intelligence outcomes and impacts. Design and deliver infographics across a range of media platforms. Identify and process raw data, trends More ❯

be involved in full spectrum analytic technical support to mission operations and the intelligence lifecycle: requirements collection and refinement, translating user requirements into technical requirements, environment configuration, exploratory data analysis, model development, selection, and evaluation, identifying insights from analytic products and then communicating those results to a nontechnical audience. To that end, you will work with cross-functional teams … practical experience. • 4 - 6+ years of experience in computer science, data science, data analytics. • Experience executing data science methods using python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization. • Strong proficiency in programming languages such as Python. • Agile development experience along with related technologies (e.g., Jira). Preferred Qualifications: , • Familiarity and … with the Intelligence Community (IC), and the intel cycle. • Familiarity and experience with the Department of Homeland Security (DHS). • Ability, openness, and eagerness to learn. Responsibilities: • Establish advanced analysis and data visualization methodologies, models, and tools to derive intelligence outcomes and impacts. • Design and deliver infographics across a range of media platforms. • Identify and process raw data, trends More ❯

growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. **Please note: Unfortunately, this role does More ❯

Biotech industry or related field or industry! Knowledge of trial site operations and study execution Strong knowledge of regulatory guidelines (e.g., ICH-GCP). Demonstrated strong understanding of data analysis and familiarity with basic statistical concepts and hands-on experience using data visualization tools Project, Issue, and risk management experience with strong ability to apply critical thinking & problem … solving skills, to drive solutions &helping to lead teams to successful outcomes. Strong experience working with technology platforms and systems used for the collection, analysis and reporting of data. Experience working in highly diverse teams within clinical research; cross-functional, global, multiregional Planning and coordination skills. Experience working with cross-functional stakeholders and leading teams in a matrix environment … drug development processes Preferred Experience Working with complex data structures and reporting specifications Working with external data e.g., Safety Lab, PK, Simple Biomarkers, ECG, or similar. Possess proficiency in statistical analysis, data modelling, and data visualization techniques, or demonstrate strong knowledge in these areas. Strong Knowledge of Monitoring and Risk-based Quality Management (RBQM)/Risk-Based Monitoring More ❯