months ending December 2024 totaled $13.8 billion. We're looking for an experienced Technical Data Analyst with 10+ years of experience in data analysis, statistical modeling, and data visualization. The ideal candidate will have a strong background in data analysis, including data mining, predictive analytics, and data visualization. … be responsible for analyzing and interpreting complex data sets, developing statistical models, and creating data visualizations to inform business decisions. Key Responsibilities: 1. *Data Analysis*: Analyze and interpret complex data sets, including data mining, predictive analytics, and data visualization. 2. *Statistical Modeling*: Develop and maintain statistical models, including regressionanalysis, time series analysis, and machine learning algorithms. 3. *Data Visualization*: Create data visualizations, including reports, dashboards, and interactive visualizations. 4. *STTM*: Develop and maintain STTM solutions, including data integration, data quality, and data governance. 5. *Collaboration*: Collaborate with cross-functional teams, including business stakeholders, data scientists More ❯
months ending December 2024 totaled $13.8 billion. We're looking for an experienced Technical Data Analyst with 10+ years of experience in data analysis, statistical modeling, and data visualization. The ideal candidate will have a strong background in data analysis, including data mining, predictive analytics, and data visualization. … be responsible for analyzing and interpreting complex data sets, developing statistical models, and creating data visualizations to inform business decisions. Key Responsibilities: 1. *Data Analysis*: Analyze and interpret complex data sets, including data mining, predictive analytics, and data visualization. 2. *Statistical Modeling*: Develop and maintain statistical models, including regressionanalysis, time series analysis, and machine learning algorithms. 3. *Data Visualization*: Create data visualizations, including reports, dashboards, and interactive visualizations. 4. *STTM*: Develop and maintain STTM solutions, including data integration, data quality, and data governance. 5. *Collaboration*: Collaborate with cross-functional teams, including business stakeholders, data scientists More ❯
QUALIFICATIONS Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field Ability to translate technical aspects of analysis and metrics into actionable insights for the advertiser and both technical and non-technical stakeholders In depth understanding of advanced statistical techniques and methodologies … as well as simple linear regressionanalysis, multivariate regressionanalysis and model building Advanced in SQL ability to write complex queries from scratch from multiple tables Fluency with Python (or R) - ability to run advanced statistical modelling PREFERRED QUALIFICATIONS Consulting experience with a major consulting firm More ❯
QUALIFICATIONS - Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field. - Ability to translate technical aspects of analysis and metrics into actionable insights for the advertiser and both technical and non-technical stakeholders. - In depth understanding of advanced statistical techniques and methodologies … as well as simple linear regressionanalysis, multivariate regressionanalysis and model building. - Advanced in SQL ability to write complex queries from scratch from multiple tables. - Fluency with Python (or R) - ability to run advanced statistical modelling. PREFERRED QUALIFICATIONS - Consulting experience with a major consulting firm More ❯
extremely interesting projects and work with some huge global brands. In this role, you will be responsible for modelling, applying econometric techniques such as regressionanalysis and using technologies such as SQL and Python. You’ll be working in an incredibly supportive and social team, where each employee … large-scale media datasets from diverse sources (CRM, ad servers, audience panels) to ensure accuracy and readiness for analysis. Apply econometric techniques such as regressionanalysis, time series modelling, and panel data analysis to uncover insights into the impact of media spend on business outcomes. Deliver data … driven insights to optimize media buying strategies, guiding channel allocation, budget distribution, and creative testing for maximum impact. Advanced analytics- explore advanced data analysis techniques, such as machine learning, to improve model accuracy and uncover deeper, more actionable insights. The Ideal Candidate 5+ years of experience with a strong More ❯
extremely interesting projects and work with some huge global brands. In this role, you will be responsible for modelling, applying econometric techniques such as regressionanalysis and using technologies such as SQL and Python. You’ll be working in an incredibly supportive and social team, where each employee … large-scale media datasets from diverse sources (CRM, ad servers, audience panels) to ensure accuracy and readiness for analysis. Apply econometric techniques such as regressionanalysis, time series modelling, and panel data analysis to uncover insights into the impact of media spend on business outcomes. Deliver data … driven insights to optimize media buying strategies, guiding channel allocation, budget distribution, and creative testing for maximum impact. Advanced analytics- explore advanced data analysis techniques, such as machine learning, to improve model accuracy and uncover deeper, more actionable insights. The Ideal Candidate 5+ years of experience with a strong More ❯
The role would work with junior team members in designing, developing, and delivering client solutions across multiple projects - leveraging competencies in statistical theory, data analysis and interpretation, regressionanalysis, machine learning algorithm development, deep learning, and natural language processing techniques. The individual must have a Master's … this role : Knowledge and Experience; Strong basis in fundamental statistical concepts and methods and familiarity with techniques such as development of predictive equations, survival analysis (including parametric methods), longitudinal data analysis, meta-analysis, mixed treatment comparison, and other hierarchical analysis techniques. Familiarity with machine learning techniques … Duties will vary according to the nature of the projects. These may include independently contributing to the preparation of study protocols, data manipulation and analysis, development of machine learning algorithms, application of deep learning and natural language processing techniques, and assisting with the interpretation and dissemination of findings. Candidates More ❯
sophisticated statistical models and machine learning algorithms to forecast trends, predict outcomes, and identify opportunities for performance enhancement. Utilize advanced analytics techniques such as regressionanalysis, time series forecasting, and clustering to extract deeper insights from multifaceted datasets. Design and execute A/B tests to optimize strategies … and validate hypotheses. Strategic Performance Analysis and Optimization Conduct in-depth analysis of KPIs, benchmarking against industry standards and historical performance. Perform multi-dimensional analysis to uncover hidden patterns and correlations in client data. Develop and maintain a comprehensive performance measurement framework, aligning metrics with client's More ❯
to optimize acquisition and conversion strategies. Develop and maintain dashboards and reporting tools to track KPIs and acquisition performance. Leverage advanced analytics techniques (e.g., regressionanalysis, segmentation, cohort analysis) to enhance understanding of user behavior. Collaborate with performance marketing and CRM to maximise LTVs. What We're … Bachelor's degree in Mathematics, Data Science, Statistics, Marketing, Business Analytics, Economics or a related field. 4+ years of experience in product analytics, data analysis, or a related field. Expert knowledge in SQL. Experience with data visualization tools such as Tableau, ThoughtSpot, or Power BI. Expert knowledge of Statistical … analysis and A/B methodologies. Strong problem-solving skills and ability to communicate insights effectively. What We Offer At MrQ, we take pride in providing an array of fantastic benefits to our valued team members. Enjoy a competitive salary package that recognizes your hard work and dedication. Need More ❯
compelling storytelling and actionable recommendations. Expertise in interrogating data using SQL and writing custom SQL queries, and understanding of database structures. Understanding of statistical analysis techniques used for experimental design such as regressionanalysis, hypothesis testing, multivariate analysis, and time series analysis. Excellent verbal and written More ❯
compelling storytelling and actionable recommendations. Expertise in interrogating data using SQL and writing custom SQL queries, and understanding of database structures. Understanding of statistical analysis techniques used for experimental design such as regressionanalysis, hypothesis testing, multivariate analysis, and time series analysis. Excellent verbal and written More ❯
compelling storytelling and actionable recommendations. Expertise in interrogating data using SQL and writing custom SQL queries, and understanding of database structures. Understanding of statistical analysis techniques used for experimental design such as regressionanalysis, hypothesis testing, multivariate analysis, and time series analysis. Excellent verbal and written More ❯
to business challenges and opportunities. Assist with improving data efficiencies and processes across the team. Conduct quantitative and qualitative credit research, and various statistical analysis to analyze trends. Monitor and analyze key global market credit trends. Manage Access and Oracle databases, including writing queries. Write commentary to support research … highly quantitative field: Computer Science, Machine Learning, Statistics, Mathematics, etc. Proficiency with data mining, knowledge of probability theory and advanced statistical techniques. Experience with regressionanalysis (beyond linear regression), supervised learning, unsupervised learning or time-series analysis. Experience with scientific scripting languages (Python, R, Matlab). Experience More ❯
data analyst, preferably in fraud, AML, or financial risk monitoring Solid understanding of statistical concepts and experience applying methods such as forecasting, time series analysis, A/B testing, or regressionanalysis Experience in producing insights that led to measurable improvements, ideally in relevant domains such as … and sometimes messy datasets Experience designing, building, and maintaining ETL pipelines or data models, ideally using tools like dbt Proficiency in Python for data analysis, including data manipulation, visualisation, and basic modelling Strong data storytelling and communication skills: you can translate complex data into clear, actionable recommendations for both More ❯
data analyst, preferably in fraud, AML, or financial risk monitoring Solid understanding of statistical concepts and experience applying methods such as forecasting, time series analysis, A/B testing, or regressionanalysis Experience in producing insights that led to measurable improvements, ideally in relevant domains such as … and sometimes messy datasets Experience designing, building, and maintaining ETL pipelines or data models, ideally using tools like dbt Proficiency in Python for data analysis, including data manipulation, visualisation, and basic modelling Strong data storytelling and communication skills: you can translate complex data into clear, actionable recommendations for both More ❯
experience, and business outcomes. This role also offers great scope to progress into a manager position. What you’ll be doing: Deliver high-impact analysis that drives product and business strategy Develop and maintain dashboards and tracking tools to monitor KPIs Identify data gaps and propose scalable solutions Guide … a data analytics role Expert-level SQL and experience querying large datasets efficiently Proficiency in BI tools (Power BI, Tableau, Looker) Strong background in regressionanalysis, funnel, cohort, and churn analysis Commercial awareness with the ability to prioritise and manage multiple stakeholders Excellent communication and storytelling skills More ❯
london, south east england, United Kingdom Hybrid / WFH Options
DigiTech Resourcing
experience, and business outcomes. This role also offers great scope to progress into a manager position. What you’ll be doing: Deliver high-impact analysis that drives product and business strategy Develop and maintain dashboards and tracking tools to monitor KPIs Identify data gaps and propose scalable solutions Guide … a data analytics role Expert-level SQL and experience querying large datasets efficiently Proficiency in BI tools (Power BI, Tableau, Looker) Strong background in regressionanalysis, funnel, cohort, and churn analysis Commercial awareness with the ability to prioritise and manage multiple stakeholders Excellent communication and storytelling skills More ❯
to generate insights that empower strategic decision-making, improve care delivery, and enhance workforce efficiency and resident outcomes. Specialising in machine learning and statistical analysis, you will be responsible for developing predictive models, delivering advanced analytics, and uncovering trends to shape the organisation's care home operations. By designing … and deploying machine learning models, conducting trend analysis, and developing predictive tools, you will forecast resident needs, workforce requirements, and financial outcomes. You will collaborate closely with data engineers, analysts, and operational teams to translate business challenges into data-driven solutions, presenting insights clearly to both technical and non … such as TensorFlow, PyTorch, or Scikit-learn is essential to successfully build and deploy models. Additionally, you should have a solid understanding of statistical analysis techniques, including hypothesis testing, regression, and time-series analysis, to ensure insightful data interpretation. In terms of data visualisation , proficiency in tools More ❯
someone who loves getting into the data – and knows how to turn complex insights into clear, actionable recommendations for marketing teams. Role & Responsibilities Statistical analysis of marketing performance across paid, organic, CRM, online and offline channels Building and running A/B tests (on features, audiences, or channels) and … translating the results into business recommendations Running regressionanalysis, forecasting, and presenting insights to non-technical stakeholders Post-campaign analysis and reporting – helping clients understand what worked and what didn’t Working closely with GA4 data, Excel data extracts, and slicing/dicing data using Python Skills … Experience Strong experience with Google Analytics 4 (GA4) Proficient in Python – particularly for data wrangling, statistical testing (T-tests, etc.), and data analysis Comfortable working with Excel as a data source (data manipulation and cleaning) Experience with BI tools – Power BI preferred, but Tableau or Looker are also fine More ❯
someone who loves getting into the data – and knows how to turn complex insights into clear, actionable recommendations for marketing teams. Role & Responsibilities Statistical analysis of marketing performance across paid, organic, CRM, online and offline channels Building and running A/B tests (on features, audiences, or channels) and … translating the results into business recommendations Running regressionanalysis, forecasting, and presenting insights to non-technical stakeholders Post-campaign analysis and reporting – helping clients understand what worked and what didn’t Working closely with GA4 data, Excel data extracts, and slicing/dicing data using Python Skills … Experience Strong experience with Google Analytics 4 (GA4) Proficient in Python – particularly for data wrangling, statistical testing (T-tests, etc.), and data analysis Comfortable working with Excel as a data source (data manipulation and cleaning) Experience with BI tools – Power BI preferred, but Tableau or Looker are also fine More ❯
and acquire decision-grade data about the public—what consumers, voters and citizens think and do. The Role: You will be the research manager analysis lead at the organization, you’ll be a foundational part of a fast-growing research data team which works in lockstep with the 10+ … also be welcomed. The ideal candidate should be able to come to identify the top 2-3 findings for each client brief through data analysis — and express these in well-structured PowerPoint decks and memos Experience in conducting different types of statistical analyses ideally on panel data — principal component … analysis, factor analysis, multivariate regression and cluster analysis The benefits: As a Research Manager, you can earn up to a base of £60,000 plus an aggressive benefits package How to apply: Please register your interest by sending your Resume to Louiscollins@harnham.com or via the More ❯
and acquire decision-grade data about the public—what consumers, voters and citizens think and do. The Role: You will be the research manager analysis lead at the organization, you’ll be a foundational part of a fast-growing research data team which works in lockstep with the 10+ … also be welcomed. The ideal candidate should be able to come to identify the top 2-3 findings for each client brief through data analysis — and express these in well-structured PowerPoint decks and memos Experience in conducting different types of statistical analyses ideally on panel data — principal component … analysis, factor analysis, multivariate regression and cluster analysis The benefits: As a Research Manager, you can earn up to a base of £60,000 plus an aggressive benefits package How to apply: Please register your interest by sending your Resume to Louiscollins@harnham.com or via the More ❯
large-scale media datasets from diverse sources (CRM, ad servers, audience panels) to ensure accuracy and readiness for analysis. Apply econometric techniques such as regressionanalysis, time series modelling, and panel data analysis to uncover insights into the impact of media spend on business outcomes. Deliver data … driven insights to optimize media buying strategies, guiding channel allocation, budget distribution, and creative testing for maximum impact. Advanced analytics - explore advanced data analysis techniques, such as machine learning, to improve model accuracy and uncover deeper, more actionable insights. The Ideal Candidate 5+ years of experience with a strong … proficiency in data analysis tools and techniques (e.g., SQL, Python). Knowledge of different media channels (social media, print, television, online advertising) and their metrics. Previous Econometrics background, expertise in statistical methods like linear regression. Data modelling knowledge. Understanding business objectives and ability to translate data insights into actionable More ❯
you will use your advanced training in mathematics, programming and logical thinking to construct quantitative models that drive our success. Your talents for research, analysis and aptitude for innovation will define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast … ordinary day is anything but. You may work on alpha generating strategies; discuss portfolio allocation problems; and build models for prediction, trading automation, data analysis and more. Whichever your area of contribution, your ideas will have measurable effect on our business and for our clients. Who We Look For … using advanced statistical, quantitative, or econometric techniques to improve the portfolio construction process and improve portfolio performance Developing rigorous and scalable data management/analysis tools to support the investment process. Implementing mathematical models and analytics in production-quality software. Qualifications Background in a quantitative discipline (e.g. mathematics, engineering More ❯
developing a rate-sensitive prepayment model to improve hedging of the bank's mortgage portfolio and develop tools for counterparty credit risk management. Scenario analysis: Build models to project the impact of various stress scenarios on the balance sheet and protect the bank by informing the firm's capital … to work independently as well as thrive in a team environment Preferred qualifications: Previous work experience in: Utilizing statistical methods, including time-series and regressionanalysis; programming in object-oriented languages for efficient model implementations; manipulating data sets using relational databases and SQL Previous work experience in: Developing More ❯
