51 to 75 of 202 Permanent Statistical Analysis Jobs

national security investigators and analysts to understand their data science needs, suggest solutions, and complete the work in a timely manner. Lead and/or design machine learning (ML), statistical analysis, and data analysis tasks. Leverage existing and/or conduct custom Extract Transform Load (ETL) work to aggregate data from multiple repositories and condition the data … search, and retention. Design new software code to improve data search processes, and design, test, and validate the quality of data and data processes. Automate routine workflows and data analysis steps to assist with workflow automation. Report results of analyses and provide actionable recommendations. What You Need to Succeed (Minimum Requirements): TS/SCI Clearance Eight (8) years of More ❯

Overview: Seeking a Data Analysis Engineer. The role involves building Tableau dashboards, Python scripting, and working with hardware-generated data. This role will focus on building interactive Tableau dashboards, developing Python scripts, analyzing datasets, and creating clear visualizations to drive insights for engineering teams. Responsibilities: Design, develop, and maintain Tableau dashboards for hardware and operational data reporting. Write and … optimize Python scripts for data processing, automation, and analysis. Perform data cleaning, transformation, and statistical analysis to extract insights. Manage and process large datasets, including uploading and parsing CSV files from hardware systems. Build clear and effective data visualizations to communicate trends, anomalies, and key findings to stakeholders. Collaborate with cross-functional engineering teams to understand requirements and … deliver actionable insights. AI/ML knowledge where relevant to support predictive analysis and pattern recognition. Leverage exposure to embedded systems to contextualize hardware-generated data and troubleshoot data inconsistencies. Qualifications: Strong experience with Tableau (dashboard design, advanced calculations, performance optimization). Proficiency in Python (data analysis libraries such as Pandas, NumPy, Matplotlib/Seaborn). Solid background More ❯

spatial thinking in interpreting SIGINT data in geographic context. Such interpretation requires skills, knowledge, and abilities drawn from multiple disciplines in order to undertake spatial data manipulation, spatial data analysis, spatial statistical analysis and spatial modeling. Have a fundamental knowledge of geospatial SIGINT data, analytical methods, and visualization, in addition to technical knowledge of target technologies. Use More ❯

solutions, with the ability to design and implement cutting-edge analytics capabilities. Responsibilities Design and implement data science frameworks across multi-cloud environments Develop machine learning models for data analysis and automation, including building RAG models for AWS Bedrock Automate analytic solutions and build scalable analytics capabilities Collaborate with the Mission team to gather requirements across various teams Assess … related field, plus additional 3+ years' experience in a complimentary function Strong programming skills in Python, SCALA, and/or UNIX shell scripting Expertise in machine learning techniques and statistical analysis Proficiency in SQL and NoSQL databases Experience with big data platforms such as Hadoop, Spark, and Kafka Cloud computing expertise across AWS, Azure, and other Experience in More ❯

Parties/Customer) to improve performance, budget efficiency, and ROI. Track key customer KPIs and support acquisition and retention strategies through A/B testing and data insights. Conduct statistical analysis to identify trends, patterns, and outliers that inform strategic decisions. Present complex data in clear, actionable formats for various stakeholders. Build and maintain dashboards and reports using … technical insights to non-technical audiences effectively (Essential) Detail-oriented and process-driven with a focus on continuous improvement (Essential) Comfortable working in a fast-paced, evolving environment (Essential) Statistical Methods Knowledge (Desirable) Experience using Salesforce and data visualisation tools (Desirable) Job Offer Competitive salary range of £35,000 to £45,,000 per annum. Permanent position with opportunities for More ❯

trust you to: Manage large and complex data projects related to climate datasets, with a particular focus on company specific GHG emissions and emissions reduction targets Have knowledge of statistical analysis and demonstrated applied data analysis skills, with proficiency using Excel Keep up to date with the evolving landscape of climate-related disclosure and conduct in-depth … analysis into upcoming disclosure requirements and standards globally Be able to translate these standards into data models and create mappings between them, reflecting their level interoperability. Serve as a subject matter expert to drive our deliverables and navigate across internal and external partner groups Apply subject-matter-expertise to support strategy development for engagement activities. Make strategic decisions under … or CAIA designation Experience with Python and SQL Familiarity with product development processes, having worked in close collaboration with product teams Experience using modern AI tools to support data analysis, automate workflows, and contribute to content creation and insight generation. Ability to read/write in a language other than English More ❯

form the foundation of Bloomberg's market surveillance offering, including: - Fund Analytics - quantifying credit, liquidity, and duration risk across fund holdings to support look-through exposure monitoring, market trend analysis, and investment decisions. - Digital Asset Exposure - identifying direct and indirect crypto exposure through advanced rules-based logic and instrument-level transparency - Market Insights - a new product that transforms Bloomberg … Intelligence research into structured, scalable data feeds offering sector-level signals and company-specific analysis. We'll trust you to: - Contribute meaningfully to the analysis, evaluation, and product vision for the suite of Risk & Investment Analytics product offerings - Drive the development and market acceptance of Bloomberg as the standard for risk and investment analytics - Understand client workflows and challenges … analytics, or risk solutions - Solid understanding of financial markets and good knowledge of Bloomberg data - Strong knowledge of fund structures, portfolio look-through, and risk analytics - Strong understanding of statistical analysis, time series analysis, data mining, quantitative financial modeling - Technical fluency in data science workflows, and prototyping (Python preferred) - Excellent presentation and communication and interpersonal skills with More ❯

and this role will be pivotal to ensuring we've got what we need. Your role will be critical to informing research, influencing and engagement activity through deep-dive analysis and synthesis of existing data, identification of potential data gaps and methods to fill them, and the production of jargon-free, engaging interpretation and information for both internal and … You're a trusted expert and critical friend, always considering the impact of your work on people affected by dementia. Essential experience: Qualification in a discipline relevant to data analysis or equivalent demonstrable work experience. Skills in using statistical analysis techniques to draw impactful conclusions from complex data sets. Skills in data visualisation with the ability to More ❯

be eligible to handle sensitive information and comply with applicable security clearance requirements. Position Overview Join Chesapeake Consultants as a Cost Estimator/Analyst, supporting our Cost Estimating and Analysis Office. In this critical role, you will provide data-driven insights to inform decision-making for Department of Defense (DoD) and Intelligence Community (IC) programs. Your expertise will shape … cost estimates, risk assessments, and financial strategies for mission-critical initiatives. Key Responsibilities Analyze business and financial data using modeling, mathematics, economics, statistical analysis, and engineering methods to support decision-making. Collect, organize, normalize, analyze, and document cost, technical, and programmatic data. Develop and apply analytic processes to define problems, create models/tools, test hypotheses, and deliver … actionable solutions to decision-makers. Support financial management through life cycle cost estimates, analysis of alternatives, business case analyses, risk research, and schedule realism assessments. Contribute to project teams, advising on cost analysis processes and developing cost estimating relationships and factors. Prepare and present briefings and informational sessions on cost-related activities. Qualifications Experience: Minimum of five More ❯

RF, and enjoys cross-team interaction. Responsibilities include: Define, design, implement, and maintain measurement/test solutions for link/modem validation Define and analyse calibration and metrology aspects (statistical error analysis, confidence levels, error budgets) Develop modular, reusable software in Python (or similar languages) to be implemented in a variety of setups Analyse and troubleshoot link-performance … testers, channel emulators) Physical-layer satellite modem algorithms/standards (DVB-S2, CCSDS) Experience in collaborative software design (GIT, code reviews) Experience in test automation Linux and Windows experience Statistical analysis and metrology This is a fantastic opportunity for a Communications Test Engineer to design and own new cutting-edge products in a fast-paced, innovative environment and More ❯

RF, and enjoys cross-team interaction. Responsibilities include: Define, design, implement, and maintain measurement/test solutions for link/modem validation Define and analyse calibration and metrology aspects (statistical error analysis, confidence levels, error budgets) Develop modular, reusable software in Python (or similar languages) to be implemented in a variety of setups Analyse and troubleshoot link-performance … testers, channel emulators) Physical-layer satellite modem algorithms/standards (DVB-S2, CCSDS) Experience in collaborative software design (GIT, code reviews) Experience in test automation Linux and Windows experience Statistical analysis and metrology This is a fantastic opportunity for a Communications Test Engineer to design and own new cutting-edge products in a fast-paced, innovative environment and More ❯

RF, and enjoys cross-team interaction. Responsibilities include: Define, design, implement, and maintain measurement/test solutions for link/modem validation Define and analyse calibration and metrology aspects (statistical error analysis, confidence levels, error budgets) Develop modular, reusable software in Python (or similar languages) to be implemented in a variety of setups Analyse and troubleshoot link-performance … testers, channel emulators) Physical-layer satellite modem algorithms/standards (DVB-S2, CCSDS) Experience in collaborative software design (GIT, code reviews) Experience in test automation Linux and Windows experience Statistical analysis and metrology This is a fantastic opportunity for a Communications Test Engineer to design and own new cutting-edge products in a fast-paced, innovative environment and More ❯

Data Scientist – Quantitative Hybrid (3 days in London office) | Full-time | Permanent You need to have a core background in statistical analysis of survey data and experience of working in a research agency. An exciting opportunity has opened up at a fast-growing insight and strategy consultancy for an experienced Data Scientist to lead the development of their … on, strategic position reporting into a senior leader within the Quant team. You'll work across a mix of project delivery, innovation, and team development – helping shape everything from statistical capability to the company’s broader data vision. You’ll work on: Advanced analytics projects (segmentation, conjoint, MaxDiff, KDA, etc.) Processing large, complex datasets (e.g. transactional data, 1st-party … data, behavioural) Developing infrastructure and tooling for scalable analysis Expanding the use of AI, synthetic data and machine learning Collaborating with marketing to shape new, data-led propositions Upskilling team members in data science and statistical thinking Representing the agency externally in thought-leadership or event settings (optional) What You’ll Need 5+ years of data science experience More ❯

Data Scientist – Quantitative Hybrid (3 days in London office) | Full-time | Permanent You need to have a core background in statistical analysis of survey data and experience of working in a research agency. An exciting opportunity has opened up at a fast-growing insight and strategy consultancy for an experienced Data Scientist to lead the development of their … on, strategic position reporting into a senior leader within the Quant team. You'll work across a mix of project delivery, innovation, and team development – helping shape everything from statistical capability to the company’s broader data vision. You’ll work on: Advanced analytics projects (segmentation, conjoint, MaxDiff, KDA, etc.) Processing large, complex datasets (e.g. transactional data, 1st-party … data, behavioural) Developing infrastructure and tooling for scalable analysis Expanding the use of AI, synthetic data and machine learning Collaborating with marketing to shape new, data-led propositions Upskilling team members in data science and statistical thinking Representing the agency externally in thought-leadership or event settings (optional) What You’ll Need 5+ years of data science experience More ❯

Data Scientist – Quantitative Hybrid (3 days in London office) | Full-time | Permanent You need to have a core background in statistical analysis of survey data and experience of working in a research agency. An exciting opportunity has opened up at a fast-growing insight and strategy consultancy for an experienced Data Scientist to lead the development of their … on, strategic position reporting into a senior leader within the Quant team. You'll work across a mix of project delivery, innovation, and team development – helping shape everything from statistical capability to the company’s broader data vision. You’ll work on: Advanced analytics projects (segmentation, conjoint, MaxDiff, KDA, etc.) Processing large, complex datasets (e.g. transactional data, 1st-party … data, behavioural) Developing infrastructure and tooling for scalable analysis Expanding the use of AI, synthetic data and machine learning Collaborating with marketing to shape new, data-led propositions Upskilling team members in data science and statistical thinking Representing the agency externally in thought-leadership or event settings (optional) What You’ll Need 5+ years of data science experience More ❯

Data Scientist – Quantitative Hybrid (3 days in London office) | Full-time | Permanent You need to have a core background in statistical analysis of survey data and experience of working in a research agency. An exciting opportunity has opened up at a fast-growing insight and strategy consultancy for an experienced Data Scientist to lead the development of their … on, strategic position reporting into a senior leader within the Quant team. You'll work across a mix of project delivery, innovation, and team development – helping shape everything from statistical capability to the company’s broader data vision. You’ll work on: Advanced analytics projects (segmentation, conjoint, MaxDiff, KDA, etc.) Processing large, complex datasets (e.g. transactional data, 1st-party … data, behavioural) Developing infrastructure and tooling for scalable analysis Expanding the use of AI, synthetic data and machine learning Collaborating with marketing to shape new, data-led propositions Upskilling team members in data science and statistical thinking Representing the agency externally in thought-leadership or event settings (optional) What You’ll Need 5+ years of data science experience More ❯

Data Scientist – Quantitative Hybrid (3 days in London office) | Full-time | Permanent You need to have a core background in statistical analysis of survey data and experience of working in a research agency. An exciting opportunity has opened up at a fast-growing insight and strategy consultancy for an experienced Data Scientist to lead the development of their … on, strategic position reporting into a senior leader within the Quant team. You'll work across a mix of project delivery, innovation, and team development – helping shape everything from statistical capability to the company’s broader data vision. You’ll work on: Advanced analytics projects (segmentation, conjoint, MaxDiff, KDA, etc.) Processing large, complex datasets (e.g. transactional data, 1st-party … data, behavioural) Developing infrastructure and tooling for scalable analysis Expanding the use of AI, synthetic data and machine learning Collaborating with marketing to shape new, data-led propositions Upskilling team members in data science and statistical thinking Representing the agency externally in thought-leadership or event settings (optional) What You’ll Need 5+ years of data science experience More ❯

of a Senior Performance Analyst and work within a multi-disciplinary team. Key Responsibilities: Lead the development of performance measurement frameworks and meaningful KPIs. Apply quantitative and qualitative data analysis to drive service improvement. Work closely with stakeholders, user researchers, and service teams to deliver actionable insights. Communicate analysis clearly using appropriate formats and tailored messaging for varied … cleansing of data. Use Power BI, Google Analytics, Looker Studio, and Azure Data Services to build dashboards and performance reports. Leverage BigQuery and Google Tag Manager for advanced data analysis, tracking, and reporting. Ensure compliance with digital service standards and accessibility principles. Essential Skills and Experience: Demonstrated 5+ years of experience working within performance analysis or similar roles. … Strong technical capability in: Microsoft Power BI Microsoft Azure Data Services Google Analytics, Google Tag Manager, BigQuery, Looker Studio Statistical analysis, hypothesis testing, and significance evaluation Experience in designing and implementing performance frameworks and KPIs. Skilled in user-centred analysis, translating user research and behaviour into strategic insight. Excellent communication skills with the ability to present complex More ❯

of a Senior Performance Analyst and work within a multi-disciplinary team. Key Responsibilities: Lead the development of performance measurement frameworks and meaningful KPIs. Apply quantitative and qualitative data analysis to drive service improvement. Work closely with stakeholders, user researchers, and service teams to deliver actionable insights. Communicate analysis clearly using appropriate formats and tailored messaging for varied … cleansing of data. Use Power BI, Google Analytics, Looker Studio, and Azure Data Services to build dashboards and performance reports. Leverage BigQuery and Google Tag Manager for advanced data analysis, tracking, and reporting. Ensure compliance with digital service standards and accessibility principles. Essential Skills and Experience: Demonstrated 5+ years of experience working within performance analysis or similar roles. … Strong technical capability in: Microsoft Power BI Microsoft Azure Data Services Google Analytics, Google Tag Manager, BigQuery, Looker Studio Statistical analysis, hypothesis testing, and significance evaluation Experience in designing and implementing performance frameworks and KPIs. Skilled in user-centred analysis, translating user research and behaviour into strategic insight. Excellent communication skills with the ability to present complex More ❯

of a Senior Performance Analyst and work within a multi-disciplinary team. Key Responsibilities: Lead the development of performance measurement frameworks and meaningful KPIs. Apply quantitative and qualitative data analysis to drive service improvement. Work closely with stakeholders, user researchers, and service teams to deliver actionable insights. Communicate analysis clearly using appropriate formats and tailored messaging for varied … cleansing of data. Use Power BI, Google Analytics, Looker Studio, and Azure Data Services to build dashboards and performance reports. Leverage BigQuery and Google Tag Manager for advanced data analysis, tracking, and reporting. Ensure compliance with digital service standards and accessibility principles. Essential Skills and Experience: Demonstrated 5+ years of experience working within performance analysis or similar roles. … Strong technical capability in: Microsoft Power BI Microsoft Azure Data Services Google Analytics, Google Tag Manager, BigQuery, Looker Studio Statistical analysis, hypothesis testing, and significance evaluation Experience in designing and implementing performance frameworks and KPIs. Skilled in user-centred analysis, translating user research and behaviour into strategic insight. Excellent communication skills with the ability to present complex More ❯

warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing More ❯

warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing More ❯

warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing More ❯

We are looking for an experienced data scientist to provide daily insights. The ideal candidate will possess strong mathematical and statistical skills, along with natural curiosity and creative thinking. This individual will be responsible for mining, interpreting, and cleaning our data, while also asking the right questions, connecting the dots, and uncovering hidden opportunities to fully leverage the data … s potential. Responsibilities: Work closely with product design and engineering teams to understand their needs. Research and create innovative statistical models for data analysis. Present findings to all stakeholders. Drive smarter business processes by leveraging analytics to generate meaningful insights. Stay up to date with technical advancements and industry trends. Identify and integrate new datasets that can enhance our … sources to support client business needs, gathering large structured and unstructured datasets and variables. Develop and apply algorithms and models to mine big data stores, performing data and error analysis to refine models, and ensuring data is clean and accurate. Analyze data for trends and patterns, interpreting it with clear objectives in mind. Collaborate with software developers and machine More ❯

and store data from various sources (e.g., monitoring metrics, KPI dashboards, operational systems). Develop a unified reporting framework to streamline access to key data across stakeholders. Perform data analysis using techniques ranging from basic aggregation to advanced statistical methods and data mining. Participate in code reviews and ensure adherence to best practices and coding standards. Collaborate with … and the broader BI ecosystem. Qualifications: Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. 3-6 years of experience in Business Intelligence, Data Analysis, or a related area. Proficiency with BI tools (e.g., Grafana) and SQL. Experience with data pipeline development and ETL processes. Familiarity with statistical analysis and data mining More ❯