1 to 25 of 34 Statistical Analysis Jobs in the South East

the People Data and Workforce Data Strategy ensuring high-quality people data and reporting that supports strategic people initiatives and workforce insights. Accountabilities Responsible for the delivery of data analysis and insights that support business goals. Ensure the accuracy and integrity of all People and Workforce data reporting and analytics. Collaborate with cross-functional teams to align data analysis with business needs. Develop and implement best practices for data analysis and visualisation. Drive the automation of data processes within People and Culture to improve efficiency. Manage resourcing, tools and capabilities required to ensure timely and accurate data reporting. Promote a data-driven culture across Arqiva and across all People related activity, advocating for the use of data … for People Data security review practices including routine user access reviews to ensure only the right people have access to the right data at the right time Skills Data Analysis - Ability to manipulate and analyse data, and make informed decisions Data Analysis & Visualisation Tools - Proficiency with data analysis and visualisation tools e.g. Python, R, SQL, Power BI More ❯

responsibility will be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine learning and statistical techniques. We work in a hybrid way at Saga both at home and in the office. When you do come into the office, itll be with a real purpose … Income protection Access to Saga Academy, our bespoke learning platform Main Responsibilities As one of our Senior Data Analysts you will be fully accountable for the following areas; Data Analysis and Interpretation: Develop and Oversee the analysis of large datasets to identify trends, patterns, and actionable insights relevant to business objectives Reporting and visualisation: Develop and deliver clear … and integrate insights into existing workflows & applications. Communicating effectively with both technical and non-technical counterparts Data Quality and Governance: Ensure the quality and integrity of data used for analysis, implementing and maintaining data governance best practices. Collaborate with IT and data teams to resolve data quality issues Agile ways of working: Demonstrate experience in working in an agile More ❯

build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve … analytics, preferably in a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills … to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects The i Paper - POLARIS Dashboard build and automation, including the setting of the KPI's - which we settled on using the More ❯

build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve … analytics, preferably in a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills … to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects The i Paper - POLARIS Dashboard build and automation, including the setting of the KPI's - which we settled on using the More ❯

build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve … analytics, preferably in a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills … to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects The i Paper - POLARIS Dashboard build and automation, including the setting of the KPI's - which we settled on using the More ❯

domains. Your primary responsibility will be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using statistical techniques. At Saga, we see data as a strategic asset and is one of the core pillars of our corporate strategy. Given the size and quality of our database … closely with Marketing teams to understand their challenges and design targeted analytical solutions that address key pain points. Ensure solutions are practical, impactful, and consistently achieve high adoption. Data Analysis and Interpretation: Develop and Oversee the analysis of large datasets to identify trends, patterns, and actionable insights relevant to business objectives. Reporting and visualisation: Develop and deliver clear … and integrate insights into existing workflows & applications. Communicating effectively with both technical and non-technical counterparts. Data Quality and Governance: Ensure the quality and integrity of data used for analysis, implementing and maintaining data governance best practices. Collaborate with IT and data teams to resolve data quality issues. Agile ways of working: Demonstrate experience in working in an agile More ❯

domains. Your primary responsibility will be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using statistical techniques. At Saga, we see data as a strategic asset and is one of the core pillars of our corporate strategy. Given the size and quality of our database … closely with Marketing teams to understand their challenges and design targeted analytical solutions that address key pain points. Ensure solutions are practical, impactful, and consistently achieve high adoption. Data Analysis and Interpretation: Develop and Oversee the analysis of large datasets to identify trends, patterns, and actionable insights relevant to business objectives. Reporting and visualisation: Develop and deliver clear … and integrate insights into existing workflows & applications. Communicating effectively with both technical and non-technical counterparts. Data Quality and Governance: Ensure the quality and integrity of data used for analysis, implementing and maintaining data governance best practices. Collaborate with IT and data teams to resolve data quality issues. Agile ways of working: Demonstrate experience in working in an agile More ❯

build expertise in business intelligence, data management, and emerging AI technologies. The successful candidate will support data-driven decision making across the organization while developing technical skills in data analysis and visualization. Key Responsibilities: Data Management & Quality Perform data cleansing, validation, and quality assurance processes Identify and resolve data inconsistencies and anomalies Document data sources, transformations, and cleansing procedures … standpoint, candidates must demonstrate strong proficiency in Excel and data manipulation techniques, along with basic knowledge of SQL for data querying and retrieval. A solid understanding of fundamental data analysis concepts and methodologies is essential, as is familiarity with database management principles and basic statistical analysis techniques. Beyond technical capabilities, we seek individuals with exceptional analytical and More ❯

build expertise in business intelligence, data management, and emerging AI technologies. The successful candidate will support data-driven decision making across the organization while developing technical skills in data analysis and visualization. Key Responsibilities: Data Management & Quality Perform data cleansing, validation, and quality assurance processes Identify and resolve data inconsistencies and anomalies Document data sources, transformations, and cleansing procedures … standpoint, candidates must demonstrate strong proficiency in Excel and data manipulation techniques, along with basic knowledge of SQL for data querying and retrieval. A solid understanding of fundamental data analysis concepts and methodologies is essential, as is familiarity with database management principles and basic statistical analysis techniques. Beyond technical capabilities, we seek individuals with exceptional analytical and More ❯

build expertise in business intelligence, data management, and emerging AI technologies. The successful candidate will support data-driven decision making across the organization while developing technical skills in data analysis and visualization. Key Responsibilities: Data Management & Quality Perform data cleansing, validation, and quality assurance processes Identify and resolve data inconsistencies and anomalies Document data sources, transformations, and cleansing procedures … standpoint, candidates must demonstrate strong proficiency in Excel and data manipulation techniques, along with basic knowledge of SQL for data querying and retrieval. A solid understanding of fundamental data analysis concepts and methodologies is essential, as is familiarity with database management principles and basic statistical analysis techniques. Beyond technical capabilities, we seek individuals with exceptional analytical and More ❯

measurement and test solutions for modem and link validation, with an emphasis on baseband signal processing and digital verification workflows . Analyze and define calibration and metrology approaches, including statistical error analysis, confidence intervals, and error budgets. Develop modular and reusable software tools (primarily in Python or similar languages) for diverse test environments. Analyze and troubleshoot link performance … DVB-S2, CCSDS). Experience with collaborative software development practices (version control, code reviews). Background in test automation frameworks. Proficiency in both Linux and Windows environments. Skills in statistical analysis and metrology. More ❯

measurement and test solutions for modem and link validation, with an emphasis on baseband signal processing and digital verification workflows . Analyze and define calibration and metrology approaches, including statistical error analysis, confidence intervals, and error budgets. Develop modular and reusable software tools (primarily in Python or similar languages) for diverse test environments. Analyze and troubleshoot link performance … DVB-S2, CCSDS). Experience with collaborative software development practices (version control, code reviews). Background in test automation frameworks. Proficiency in both Linux and Windows environments. Skills in statistical analysis and metrology. More ❯

patterns exist in customer charging behaviour? How can we use data to drive operational efficiency and profitability? This is a hands-on analytical role , ideal for someone who enjoys statistical problem-solving, building predictive models, and presenting clear insights that drive action - but not a pure machine learning role . Key Responsibilities Develop and maintain forecasting and pricing models … Support business teams with actionable insights and data storytelling Analyse large data sets in Snowflake/AWS using SQL and Python Apply statistical techniques (segmentation, regression, predictive modelling) Partner with stakeholders to translate business questions into data-driven answers About You Strong experience with SQL and Python (Jupyter Notebooks) Solid grounding in statistical analysis and forecasting methods More ❯

patterns exist in customer charging behaviour? How can we use data to drive operational efficiency and profitability? This is a hands-on analytical role , ideal for someone who enjoys statistical problem-solving, building predictive models, and presenting clear insights that drive action - but not a pure machine learning role . Key Responsibilities Develop and maintain forecasting and pricing models … Support business teams with actionable insights and data storytelling Analyse large data sets in Snowflake/AWS using SQL and Python Apply statistical techniques (segmentation, regression, predictive modelling) Partner with stakeholders to translate business questions into data-driven answers About You Strong experience with SQL and Python (Jupyter Notebooks) Solid grounding in statistical analysis and forecasting methods More ❯

Analyst to turn data into actionable insights that drive business decisions. You'll work closely with stakeholders across the company, combining technical skills with analytical thinking to support reporting, analysis, and data-driven decision making. This role offers opportunities to learn advanced analytics techniques, collaborate with experienced data engineers and scientists, and have a meaningful impact on the business. … optimise a wide range of BI reports . Analyse data to uncover actionable insights for marketing, product, and content decisions. Support diverse projects, such as A/B test analysis, content performance evaluation, and website engagement metrics. Help enhance the internal data model , including identifying new tables or pipelines. Collaborate with technical and non-technical stakeholders across the business. … Work within a team of data analysts, engineers, and scientists , contributing to shared knowledge. Opportunity to develop skills in predictive modeling, AI/ML, clustering, segmentation, and statistical analysis . Requirements: Strong SQL skills. Experience with BI tools such as Looker, Tableau, or equivalent. Knowledge of data warehousing, ETL systems , or modern equivalents like DBT. Proven ability to More ❯

we look for in all our personnel. Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: Master More ❯

we look for in all our personnel. Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: Master More ❯

we look for in all our personnel. Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: Master More ❯

which is £1,000 per week or £52,000 per year ! Requirements: - Bachelor’s degree in Economics, Finance, Information Technology/Management, or Data Analytics - 5+ years of Data Analysis experience - Proficiency in English with strong verbal and written communication skills - Domain/Product Intuition for transforming Use Cases into actionable Data and Applications - Skills in Statistical Analysis, Mathematics, Language Processing, and Network Analysis - Proficient in KNIME and Tableau - Preferred: Experience in Financial Services Interested Apply now More ❯

with the Head of Analytics to deliver actionable insights across the network of charging points Analyse customer behaviour, usage patterns, and operational data to inform strategy and growth Build statistical models for segmentation, regression, predictive modelling, and forecasting Support pricing and revenue optimisation initiatives, including dynamic pricing strategies Query and process large datasets coming from multiple real-time sources … Translate complex analysis into clear recommendations for non-technical stakeholders What You'll Need: Strong SQL and Python skills; experience in AWS environments is a plus Solid statistical analysis background (segmentation, regression, forecasting) Hands-on, adaptable, and comfortable in a smaller, fast-moving team environment Excellent communication skills and ability to take ownership of projects Experience delivering More ❯

to interpret data, shape propositions, and influence senior stakeholders. Experience working cross-functionally and/or in international environments. Excellent communication and presentation skills. Desirable: Experience with Python for statistical analysis. Background in A/B testing design and evaluation. Familiarity with customer lifetime value modelling and loyalty analytics frameworks. WHY APPLY? Play a leading role in shaping the More ❯

you'll do Join a data-driven games studio as the Lead Marketing Analyst, driving marketing insight across global campaigns. You'll lead a small, high-performing team delivering analysis that guides spend, targeting, and impact across multiple platforms. Lead and mentor a senior analyst, embedding best practice in marketing analytics. Deliver cross-channel campaign analysis using tools … and Game Studio teams to foster a data-driven culture. What you bring Strong background in marketing analytics or data science, ideally within digital or gaming environments. Expertise in statistical analysis, attribution, and campaign measurement. Proven leadership or mentoring experience. Confident communicator with senior stakeholders, balancing commercial insight and technical depth. Hands-on experience with marketing data platforms More ❯

every day. As a Cybersecurity Defense professional at Kyndryl, you will encompass cybersecurity, incident response, security operations, vulnerability management, and the world of cyber threat hunting and security intelligence analysis all to protect the very heartbeat of organizations – their infrastructure. In this role, you won't just monitor; you'll actively engage in the relentless hunt for cyber adversaries. … 4+ years of experience in a Cybersecurity field, or 2+ years of experience along with a bachelor's degree in a related field. Expertise in network, host-based intrusion analysis, digital forensics, or malware analysis. Familiarity in utilizing EDR tools for detection and response (CrowdStrike, Defender, XDR, etc.). Experience in creating custom behavior or network-based detections to … detect malicious activity. Experience performing "deep dive" analysis and correlation of log data from multiple sources (PCAP, forensic artifacts, etc.). Ability to leverage actionable threat intelligence in effort to increase security posture within enterprise environments. Proficient with contributing to and/or leading incident response activities. Understanding of Operating Systems and Network Protocols. Familiarity with Microsoft Windows administrative More ❯

job The successful candidate will provide expert leadership and technical knowledge on the delivery of software and data services across a range of digital areas, including systems, applications, data analysis, information reporting, information governance and information interpretation. They will investigate highly complex data engineering issues, be responsible for strategic planning and delivery across specialised areas and will manage the … formats (including JSON, SQL, and XML) and strong skills in relevant programming languages, frameworks, and platforms Interest and/or experience in technologies relating to data science, for example: statistical analysis, machine learning, or natural language processing Additional information COVID-19: The COVID-19 vaccination remains the best way to protect yourself, your family, your colleagues and of More ❯

patient care. Main duties of the job The successful candidate willprovide expertleadershipand technical knowledgeon the deliveryof software and dataservices across a range of digital areas, including systems, applications, data analysis, information reporting, information governance and information interpretation, investigate a range of highly complex data engineering issues, be responsible for strategic planningand deliveryacross a range of specialised areas andwill manage … including JSON, SQL, and XML) and Strong skills in relevant programming languages, frameworks, and platforms Desirable Interest and/or experience in technologies relating to data science, for example: statistical analysis, machine learning, or natural language processing Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such More ❯