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 ❯
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 ❯
Experience with predictive modelling, machine learning, data visualizations and dashboards. SKILLS ATTRIBUTES Proficiency in statistical modelling and machine learning techniques. This includes skills in regressionanalysis, classification, clustering, and other relevant techniques. Programming skills in Python and R, with experience in data science libraries (eg, scikit-learn, pandas … TensorFlow) for data manipulation, analysis, and model development. Experience with data visualisation tools (eg, Tableau, Power BI) to communicate data insights effectively. Strong understanding of database concepts and SQL for accessing and manipulating data from various sources. Excellent analytical and problem-solving skills. Ability to identify patterns, draw conclusions … communicating data science findings to diverse audiences. Ability to work effectively in a collaborative team environment in a team-based environment. Understanding of geospatial analysis is a plus. 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 ❯
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 ❯
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 ❯
delivering high-quality insights. Technical Skills: Proficient user of SQL databases, with experience in one or more programming languages (e.g., Python, R) and data analysis libraries (e.g., NumPy, Pandas, scikit-learn). Analytical Techniques: Solid understanding of statistics, including descriptive statistics, regressionanalysis, probability, sampling, and hypothesis … proactive approach to problem-solving and a self-starting attitude. Higher education or proficiency in any of the following: statistics, mathematics, data science, data analysis, research methods is highly desirable. Ideal Candidate Profile: We are looking for a data-driven professional who is eager to take on new challenges More ❯
dashboards and reports to communicate key insights and performance trends to stakeholders. Identify opportunities to optimize marketing campaigns and improve ROI based on data analysis and insights. Provide technical leadership and guidance to the analytics team, ensuring the adoption of best practices and the use of cutting-edge technologies. … or similar, to create compelling and actionable dashboards and reports. Maintains a strong understanding of statistical concepts and techniques relevant to marketing analytics (e.g., regressionanalysis, hypothesis testing, A/B testing). Is familiar with Ad Tech platforms (Google Ads, DV360, CM360, SA360, Microsoft Advertising, Meta Business 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 ❯
Responsibilities: Perform in-depth quantitative research of ideas to support investment decisions. Build and maintain quantitative factor models using methods such as time series analysis, machine learning, regression, network analysis, and Natural Language Processing. Develop portfolio construction tools to extract alpha from the markets. Candidate Profile More ❯
main concepts of Data Science/Machine Learning would be useful. We use a range of predictive analytics and machine learning methodologies, including logistic regression and cluster analysis, plus some predictive time series analysis. More ❯
main concepts of Data Science/Machine Learning would be useful. We use a range of predictive analytics and machine learning methodologies, including logistic regression and cluster analysis, plus some predictive time series analysis. More ❯
new strategies as per business needs. Leads by example and mentors OPTIMA leadership, managers and project teams on ACES concepts and methodologies. Performs quantitative analysis of key process indicators to identify opportunities for process improvement. Demonstrates discretion in coordination of project scoping and selection to align with business objectives. … Ability to assess improvement opportunities through data analysis and by mapping of existing processes using tools like value stream maps, SIPOC, Swim Lane, Customer journey mapping etc. by identifying the defects/gaps in upstream and downstream processes. Audits ongoing and completed projects to optimize resources and verify sustained … providing them reliable and comprehensive insights and ground truth data to measure and train ML (Machine Learning) models and handle annotation and Root Cause Analysis (RCA) across 10 different languages. Minimum Qualifications Minimum 2 years Project/Program management experience in Continuous Improvement using Voice of Customer/Process More ❯
bringing rebel thinking to life. JOB RESPONSIBILITIES Devise Health Economics and Outcomes (HEOR) research projects, including burden of illness studies, economic evaluations, budget impact analysis, impact assessments, and market access strategies. Support on Market Access and Commercial Strategy projects as it relates to HEOR. Ensure effective project management from … conception to completion, overseeing multiple projects simultaneously. Oversee and support health economic modelling (e.g., cost-effectiveness analysis, budget impact analysis) using Excel, R, Python or other relevant software. Validate and calibrate models for accuracy and reliability, implementing them to analyse healthcare interventions, policies, and strategies. Perform regression … or other EU agencies. Familiarity with Health Technology Assessment (HTA) processes. Experience with model design, early scientific advice, indirect treatment comparisons (ITCs) (network meta-analysis and MAIC) and other evidence sources. Ability to support the execution of multiple complex projects at once within a diverse remote team environment, to More ❯
