101 to 125 of 564 Statistical Analysis Jobs

report on their progress. Develop relationships and processes with finance, sales, business operations, solution delivery team, partners, BD, and other cross-functional stakeholders. Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers. Collaborate with data scientists, BIEs, and BAs to deliver high-quality data architecture and pipelines. A Day in the Life … NoSQL, etc. experience. Experience with data visualization using Tableau, Quicksight, or similar tools. Experience with one or more industry analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g., t-test, Chi-squared). 2+ years of experience in Anaplan model building. PREFERRED QUALIFICATIONS Master's degree or Advanced technical degree. Knowledge of data modeling and … data pipeline design. Experience with statistical analysis, correlation analysis. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Posted: April More ❯

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 ❯

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 ❯

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 ❯

goals. Major Responsibilities Deliver key goals to enhance advertiser experience and deliver multi-million dollar savings by building algorithms to detect and mitigate invalid traffic. Use machine learning and statistical techniques to create new, scalable solutions for invalid traffic filtering. Drive core business analytics and data science explorations to inform key business decisions and algorithm roadmap. Establish scalable, efficient … highly quantitative field. 5+ years of hands-on experience in big data, machine learning and predictive modeling. 3+ year people management and cross department functional experience. Knowledge of a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in the context of data analysis and statistical model building. Strongly motivated 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 ❯

AI/ML and Data Science product development and research work, and supporting our multi-award winning AI product portfolio. The Data Scientist will: Undertake data collection, processing and analysis Build models to address business problems Present information using data visualization techniques Develop (design, code and test), deploy & support code as part of our AI Products in Cloud-hosted … lifecycle. Stay informed on new technology trends and how they can be leveraged within the company. Key Skills Proficiency in R programming language with hands-on experience in data analysis and model building. Strong understanding of machine learning, statistical analysis, and data mining techniques. Excellent problem-solving skills with the ability to handle multiple tasks under tight More ❯

actionable insights that improve our understanding and trends, while also identifying new opportunities to improve how our customers interact with our CXs. You will be hands-on in data analysis and and an expert in A/B testing, using your insights to inform decisions and provide high quality communication to senior leadership. Key job responsibilities * Work with our … degree in engineering, statistics, computer science, mathematics or equivalent quantitative field - * 7+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - * Experience in Business Intelligence, Data Analysis, or a similar role. - * Ability to operate independently and deal with ambiguity in a fast-paced environment. - * Experience developing and presenting recommendations of new metrics allowing better understanding of … computer science, mathematics or equivalent quantitative field - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Strong understanding of A/B testing, sampling methodologies, and other statistical analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the 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 ❯

BI and Azure tools Ensure transparency and compliance of models in alignment with healthcare data privacy standards (e.g., GDPR, NHS DSP Toolkit) Conduct data exploration, hypothesis testing, and advanced statistical analyses to inform product and business decisions Implement monitoring and retraining strategies for deployed models to ensure fairness and ongoing performance Mentor junior team members and foster a collaborative … based data pipelines and machine learning services Advanced proficiency in Python (for ML) and SQL (for data manipulation) Deep expertise in supervised and unsupervised ML techniques, benchmarking design, and statistical analysis Strong experience with Microsoft Azure stack: AML, Data Factory, Synapse, Databricks, Blob Storage/Data Lake Familiarity with Power BI for report automation and data insight delivery 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 ❯

to work with SQL, Python, and data visualization tools (DOMO, Tableau, Power BI). Experience with data modelling, reporting, and database management. Bonus: Experience with Salesforce, SAP, Operative.One or statistical analysis tools. Please apply if you’re interested and you fit this profile. Please note this role doesn't offer sponsorship. #J-18808-Ljbffr More ❯

Impact: Prioritise initiatives based on commercial value and impact, ensuring data science projects deliver measurable results. What You'll Bring Essential Expertise Deep knowledge in AI/Machine Learning , Statistical Analysis , and Algorithm Design Strong experience in Data Lifecycle Management , Predictive Analytics , Data Governance , and Cloud Computing Proficient in Programming/Scripting (e.g., Python, R, SQL) and developing … scalable data solutions Skilled in Data Commercialisation , KPI Design , Business Analysis , and Data Model Management Strong understanding of AI Ethics and responsible data use Proven ability to translate complex data into clear business value for non-technical audiences Managerial Capabilities Experience recruiting, coaching, and retaining top data talent Skilled at creating positive, high-performance team cultures Demonstrated success in More ❯

term field performance. Your work will directly support utility customers in achieving higher uptime, reduced lifecycle costs, and safer grid operation. Job Description Key Responsibilities Perform reliability modeling and statistical analysis of energy management and protection/control products to predict field performance and act as authority for reliability design decisions. Develop and execute reliability test plans for … hardware and software, including hardware-in-the-loop (HIL), environmental, and stress testing for grid components. Conduct and lead FMEA, FMECA, and Root Cause Analysis (RCA) for hardware/software failure events across embedded systems and communication layers. Work with product design, systems engineering, and software teams to ensure Design for Reliability (DfR) is embedded from concept through deployment. … IEC 61025). Familiarity with communications protocols and standards used in T&D systems: IEC 61850, DNP3, Modbus, IEEE C37.118, etc. Strong analytical skills and experience with data analysis platforms (e.g., Python, R, Minitab, Power BI). Excellent written and verbal communication skills; able to engage cross-functional teams and utility customers. Understanding of grid reliability challenges in T 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 ❯

BI and Azure tools Ensure transparency and compliance of models in alignment with healthcare data privacy standards (e.g., GDPR, NHS DSP Toolkit) Conduct data exploration, hypothesis testing, and advanced statistical analyses to inform product and business decisions Implement monitoring and retraining strategies for deployed models to ensure fairness and ongoing performance Mentor junior team members and foster a collaborative … based data pipelines and machine learning services Advanced proficiency in Python (for ML) and SQL (for data manipulation) Deep expertise in supervised and unsupervised ML techniques, benchmarking design, and statistical analysis Strong experience with Microsoft Azure stack: AML, Data Factory, Synapse, Databricks, Blob Storage/Data Lake Familiarity with Power BI for report automation and data insight delivery 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 ❯

and initial insights that will guide the creation of hypotheses. In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilising statistical and mathematical modelling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye … a related field Passionate about extracting insights from data to solve real-world problems Experience in programming languages Comfortable working with data visualisation tools (e.g. Seaborn, Tableau) Knowledgeable in statistical analysis, machine learning concepts, and data wrangling techniques Curious, analytical, and detail-oriented with a strong problem-solving mindset A strong communicator who can explain technical findings to 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 ❯