and platform-specific guidelines for YouTube, TikTok, and Meta. Data Analysis & Manipulation Skills: Competence in the use of a variety of tools to analyze and manipulate data, such as SQL, spreadsheets, basic scripting and AI. Key Competencies: Analytical Mindset : An ability to think through entirely novel cases and situations based on fundamental principles. Attention to Detail: The ability to identify More ❯
cloud native platform. Experience with Relational and Nonrelational databases/integrating with third party services. Ability to read and review code, paired programming, and debugging code related performance issues, SQL tuning, etc. Experience with AWS services such as S3, RDS, Aurora, NoSQL, MSK (Kafka). Experience with batch processing/ETL using Glue Jobs, AWS Lambda, and Step functions. Experience More ❯
preferred but not required. Digital identity or device profiling knowledge preferred but not required. Analytical skills needed to drive insight from billions of data points using tools such as SQL and Snowflake. Demonstrate the ability to solve complex problems with simple solutions. Strong communication skills and confidence to act as an evangelist for digital and device identification within the business. More ❯
cloud native platform. Experience with Relational and Nonrelational databases/integrating with third party services. Ability to read and review code, paired programming, and debugging code related performance issues, SQL tuning, etc. Experience with AWS services such as S3, RDS, Aurora, NoSQL, MSK (Kafka). Experience with batch processing/ETL using Glue Jobs, AWS Lambda, and Step functions. Experience More ❯
fields: machine learning, computer science, statistics, or mathematics 8+ years of work experience in a business environment with an analytics background Very strong programming background and expertise in using SQL Solid understanding of machine learning models and techniques, advanced analytics and statistical methods to solve business problems Passionate about telling stories using data Skillful in influence and relationship management skills More ❯
Staatliche Hochschule für Musik und Darstellende Kunst Mannheim
we use LLMs. What you’ll need Experience in industry machine learning roles as a technical leader or principal/staff engineer Excellent knowledge of both Data Science (python, SQL) and production tools A deep understanding of probability and statistics fundamentals Top tier communication skills, to be able to partner with Product and Commercial Leaders Industry-leading contributions to your More ❯
an analytics role in any discipline (e.g. Growth, Credit Risk, Product Analytics, Marketing, etc.) 2+ years of experience in an FCA-regulated financial services firm Proficiency in coding - ideally SQL and Python Desirable: Credit card experience Experience in managing or mentoring analytical teams The opportunity to scale up one of the world's most successful fintech companies Best-in-class More ❯
looking for someone with a strong analytical mindset and experience in working with data in numerical or technical environments. You'll need a working knowledge of tools like Python, SQL, and PySpark, along with the ability to manipulate and extract insights from large datasets. Familiarity with VBA functions and core analytical techniques is expected, and you should be comfortable working More ❯
environment. 3. Proficiency in using Xero for financial accounting and reporting. 4. Experience with managing customer contracts and hybrid pricing systems through third-party providers. 5. Experience working with SQL databases and data visualization tools like Looker, preferred but not required. 6. Advanced Excel skills, including complex formulas, pivot tables, and data visualization. 7. Excellent communication and collaboration skills, with More ❯
of manipulating data to draw insights by using various tools (Excel, Qlikview, Tableau, etc.) to analyse complex datasets, draw conclusions, and present insights/findings/solutions Knowledge of SQL/SAS/databases (automation, report generation, root cause analysis, writing complex queries) is advantageous but not essential Why Work for AIB: We are committed to offering our colleagues choice More ❯
data Make data-driven recommendations to improve marketing ROI What you'll need for this role Experience in marketing analytics or data analysis Strong analytical skills with proficiency in SQL Experience with marketing analytics tools and platforms Understanding of marketing metrics, KPIs, and attribution models Ability to translate data into actionable marketing insights Excellent communication and presentation skills Experience working More ❯
ideally with a proven track record of working directly with executive-level stakeholders to influence strategy. Expertise in causal inference methods and forecasting. Expertise in data querying languages (e.g. SQL) and scripting languages (e.g. Python, R). Experience with data architecture technologies such as Airflow, Databricks, and dbt. Preferred qualifications: Experience in technology, financial services and/or a high More ❯
environment Desirable: Previous experience within a "Big 4" accounting firm or in an M&A-focused role Previous experience in the FinTech or financial services industry Working knowledge of SQL Health Insurance, Wellness plan Fee free investments on Moneyfarm platform Incentive scheme Career development opportunities Training opportunities Regular office social events Happy and friendly culture More ❯
fraud management, including working with BPOs or outsourced teams. Strong leadership and team management skills. Analytical mindset with expertise in data analysis, fraud modeling, and detection technologies. Proficiency in SQL and Python. Experience with KYC and AML regulatory requirements. Experience with fraud prevention tools such as CIFAS, Onfido, Experian, GBG. Certifications like CFE or CAMS are preferred. Degree in Mathematics More ❯
stakeholders. Proven ability to manage supplier relationships and cross-functional collaboration. Fluency in English is required. Nice-to-have skills Proficiency in French or German. Knowledge of Python and SQL for data analysis and reporting. Experience with Salesforce and data management platforms. Familiarity with carbon accounting, sustainability reporting, and energy KPI tracking. Why Join Us? High-growth environment: Be part More ❯
stakeholders. Proven ability to manage supplier relationships and cross-functional collaboration. Fluency in English is required. Nice-to-have skills Proficiency in French or German. Knowledge of Python and SQL for data analysis and reporting. Experience with Salesforce and data management platforms. Familiarity with carbon accounting, sustainability reporting, and energy KPI tracking. Why Join Us? High-growth environment: Be part More ❯
user lifecycle, from acquisition through retention and monetisation Skills & Experience Required Technical Expertise: Expert-level proficiency in Google Analytics (GA4), Mixpanel, BigQuery, Redshift, and advanced Google Sheets functions Strong SQL skills for data extraction, manipulation, and analysis Experience with data visualisation tools (Tableau, Looker, or similar) Familiarity with statistical analysis and A/B testing methodologies SEO & Growth: Deep knowledge More ❯
pipelines for testing and deployment of AE and BI models. Build monitoring and alerting tools for gathering insight on AE performance This role requires Experience in the following Languages: SQL (Advanced) Jinja (Advanced) Experience with the following tools: dbt Core Git A Cloud warehouse provider e.g. Databricks, GCP, Snowflake The following would be nice to have Experience in the following More ❯
frameworks complemented by practical engagement with associated tools.* Demonstrated ability to resolve complex technical issues through refined troubleshooting skills coupled with analytical acumen.* Proficiency in scripting languages such as SQL or Python for automating tasks or addressing integration complexities.* Experience employing performance monitoring instruments alongside tuning methodologies to optimise cloud environments effectively.* Thorough understanding of integration technologies (OCI) as well More ❯
familiarity with LDI strategies. Strong Financial modelling : Derivative modelling, especially LPI Regulatory Insight : Solid understanding of Defined Benefit pension schemes and Solvency II. Technical Awareness : Familiarity with API usage, SQL, and integration with modelling infrastructure. Skills: Proficiency in Python and/or MATLAB, with experience developing and maintaining quantitative models. Solid problem-solving skills and the ability to work with More ❯
years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience - Bachelor's degree or equivalent - Fluent in English PREFERRED QUALIFICATIONS - Experience with Excel and SQL Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring More ❯
Identifying levers to help move key metrics Minimum Qualifications Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 4+ years experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product More ❯
if: Proficiency in Python for API and model development, including frameworks like Sklearn, Pytorch, and TensorFlow. Understanding of machine learning techniques. Experience with data manipulation libraries (e.g., Pandas, Spark, SQL). Experience with version control (Git). Cloud experience (Azure, GCP, AWS). Additional desirable skills include: Modeling experience in industry-relevant use cases. Familiarity with MLOps environments. Experience with More ❯
relevant work with a basic awareness of business analysis methodologies and techniques, business modelling, requirements definition and management and risk management. Familiarity with data analysis tools (e.g. Excel, basic SQL) and an eagerness to learn more analytical techniques and visualisation tools. Strong relationship building, communication and interpersonal skills, with the ability to work collaboratively in cross-functional teams. Driven, with More ❯
solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. A leadership mindset focussed on growing the technical capabilities of the team; a caring attitude towards the personal and professional More ❯
