data into business-friendly insights. Proactive, self-motivated, and able to manage multiple priorities in a fast-paced environment. A degree in a quantitative field such as Mathematics, Statistics, Economics, Computer Science, Business Analytics, or a related discipline. Desirable: Experience with statistical programming languages (e.g., Python, R) for more advanced analysis. Direct experience analysing store-level performance data for a More ❯
and problem-solving skills, with a keen eye for detail. Effective written and verbal communication skills to share insights with diverse audiences. A degree in Data Science, Computing, Statistics, Economics, or a related field is preferred. This is a great opportunity to grow your analytical skills and gain hands-on experience in a data-driven environment. If you're eager More ❯
Experian, Equifax, or TransUnion). Excellent analytical and problem-solving skills, with attention to detail and a data-driven approach. A degree in a numerate discipline (e.g., Mathematics, Statistics, Economics, or STEM) or equivalent practical experience. Also Desirable: Experience working with decision systems and credit scoring models. Modelling experience, applied to Financial Services Experience working in a scale-up or More ❯
start to finish Nice-to-haves Experience in acquiring services or the payments industry Bachelor's or Master's degree in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Economics) Direct experience with problems such as AML scenario tuning, fraud rule optimisation, or detection intelligence design Familiarity with regulatory or compliance-driven analytics environments Fincrime certifications such as CAMS, ICA More ❯
life balance • Diplomacy, negotiation, and development of complex relationships • You teach yourself new skills and systems. Education Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics) or equivalent experience. Driving Continuous Improvement Driving for Results Inspiring and Motivating Others Solving Complex Problems Optimizely is committed to a diverse and inclusive workplace. Optimizely is an equal opportunity More ❯
frameworks to enhance analytics capabilities while promoting best practices in data governance and security. Skills & Experience Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field. 5+ years in data analytics, data science, or related roles Proven track record of managing technical teams and delivering impactful data-driven solutions with a commercial More ❯
are willing to go into unfamiliar territory, and who possess ironclad judgment and integrity around confidential information. BASIC QUALIFICATIONS - Bachelor's degree - Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field - 5+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience - 5+ years of More ❯
as predictive lifetime value modeling, into your analyses or work with Data Scientists. What We're Looking For 2+ years' experience in a data analytics role. Degree in Mathematics, Economics, or relevant experience. Strong statistical knowledge (causal inference, hypothesis testing). Advanced SQL skills. Experience with BI tools like Power BI or similar. Problem-solving ability and storytelling skills with More ❯
life balance • Diplomacy, negotiation, and development of complex relationships • You teach yourself new skills and systems. Education Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics) or equivalent experience. Driving Continuous Improvement Driving for Results Inspiring and Motivating Others Solving Complex Problems Optimizely is committed to a diverse and inclusive workplace. Optimizely is an equal opportunity More ❯
and flexibility to make the most of your talents at Temper. What makes you a great fit: Bachelor's degree in a quantitative field such as Computer Science, Statistics, Economics, or a related discipline. Strong analytical and problem-solving skills with the ability to break down complex issues into manageable components. Proficiency in SQL for data querying and manipulation. A More ❯
City of London, London, England, United Kingdom Hybrid / WFH Options
How to Job Ltd
analytical methods to solve unique financial challenges. Commit to continuous learning in financial analytics, tools, and best practices to enhance data analysis capabilities. Qualifications: Bachelor’s degree in Finance, Economics, Statistics, Mathematics, or a related field. Strong foundational knowledge of data analysis, with a keen interest in developing further expertise in the finance sector. Proficiency in Excel is required; familiarity More ❯
Employment Type: Full-Time
Salary: £35,000 - £40,000 per annum, Negotiable, Inc benefits, OTE
criteria and test planning Excellent communication skills - capable of clearly translating technical issues into business context and vice versa. What will set you apart? Bachelor's degree in Finance, Economics, Statistics, Computer Science, or related discipline. CFA Certification or progress toward completion. Familiarity with third-party credit platforms (e.g., Bloomberg, FactSet, MSCI). Experience with data visualization tools (e.g., Tableau More ❯
acumen and communication skills-able to influence decisions through data storytelling. Detail-oriented with the ability to work independently in a fast-paced environment. Bachelor's degree in Finance, Economics, Business, or related field; MBA or equivalent experience a plus. Control Risks offers a competitively positioned compensation and benefits package that is transparent and summarised in the full job offer. More ❯
techniques PREFERRED QUALIFICATIONS - Experience as a leader and mentor on a data science team - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science - Expertise in Reinforcement Learning and Gen AI is preferred Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have More ❯
to audiences of varying technical knowledge. Able to communicate effectively with key stakeholders across different levels of the business. Bachelor's or advanced degree in statistics, industrial engineering, mathematics, economics, computer science, finance, or related field (Preferred) Proficiency in Microsoft Excel, SQL and Powerpoint. Other data visualization or statistical software a plus. Impact You'll Make: What's In It More ❯
formulate metrics and build reports • Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets • Bachelor's degree in Computer Science, Economics, Engineering, Mathematics, Statistics, Supply/planning, or related technical field. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We More ❯
experience Create monetization strategies for new product lines, leveraging robust margin simulations and detailed financial modeling to inform decision-making Structure B2B and enterprise agreements with rigor around unit economics, balancing growth ambitions with margin integrity Collaborate with cross-functional teams, including Product, Engineering, FP&A, Data, and BD, to implement and execute monetization strategies effectively What you will need More ❯
Demonstrate an ownership attitude and self-starting approach, thriving in a fast-paced environment Candidate Profile A master's or PhD degree in a quantitative science discipline, such as Economics, Statistics, Data Science, Econometrics, Math, or Financial Engineering 2+ years of experience with Python and SQL for data analysis and manipulation Demonstrated experience in data cleaning, validation, and addressing data More ❯
SQL skills are a must, with proficiency in Tableau, Excel, BigQuery, and Hive for data analysis and visualization. Bachelor's degree or higher in a quantitative field (e.g., Statistics, Economics, Mathematics, Engineering). 5+ years of experience in data or business analysis, with a proven track record of delivering actionable insights. Why Group We offer a stage to unleash your More ❯
proven experience in product analytics, with a strong track record of driving decisions in product-led growth environments. Bachelor's or Master's degree in a quantitative field (Statistics, Economics, Computer Science, or similar) Experience working on a B2B product is a plus. Proven experience defining and implementing PLG metrics frameworks, from user acquisition through expansion. Excellent problem-solving skills More ❯
time zones Ownership mindset- you own the end-to-end lifecycle of a product starting from ideation to adoption and maintenance Bachelors or Masters in math, physics, computer science, economics or equivalent Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include More ❯
ensuring actionable outcomes. Develop and deliver media optimization scenarios. Collaborate with internal teams implement recommendations. Contribute to the growth and ambition of a small, dynamic team. Qualifications Degree in Economics, Statistics, or STEM field Understanding of Marketing Mix Modelling (MMM) and its impact on media planning Experience with analytical techniques such as statistical modelling, data visualization, and trend analysis. High More ❯
improvement initiatives to supply chain optimization, while delivering significant business impact for our vendors and customers. BASIC QUALIFICATIONS - Bachelor's/Master's degree preferably in Business Administration, Finance, Economics, Engineering or a similar program. - Passionate about Account Management and with several years of Retail or E-Commerce Account Management experience across buying, sales, merchandising, marketing, operations or logistics. - Several More ❯
that enhance people's daily lives while managing substantial product portfolios that represent significant business value. BASIC QUALIFICATIONS - Bachelor's/Master's degree preferably in Business Administration, Finance, Economics, Engineering or a similar program. - Passionate about Account Management and with several years of Retail or E-Commerce Account Management experience across buying, sales, merchandising, marketing, operations or logistics. - Several More ❯
KDB+ Experience with machine learning libraries such as sklearn Personal Attributes Strong academic record and a degree with high mathematical, statistical and computing content e.g. Mathematics, Computer Science, Engineering, Economics or Physics from a leading university Exhibiting meticulous attention to detail Keen interest or experience in Financial Markets Hands-on attitude; willing to get involved with technology and projects across More ❯