Role Description Our client is looking for a Senior Data Analyst who can operate as a strategic analytical partner — someone who can independently investigate business problems, influence marketing investment decisions, and uncover actionable insights that directly impact revenue, contribution margin, and growth efficiency. You will work closely with leadership and collaborate across Growth, Finance, and Operations teams in a highly analytical and fast-moving environment. This role follows European/Israel working hours. Responsibilities - Analyze revenue, contribution margin, CAC, LTV, refund behavior, and acquisition efficiency across channels and geographies - Partner closely with Growth and Paid Media teams to evaluate channel performance and budget allocation - Build cohort analyses, funnel analyses, attribution logic, and performance monitoring frameworks - Identify revenue leakage, operational inefficiencies, and growth opportunities through deep analysis - Translate complex datasets into clear business recommendations for leadership - Build scalable reporting and KPI frameworks on top of a modern warehouse environment - Support forecasting, anomaly detection, experimentation analysis, and decision support initiatives - Collaborate with Data Engineering to improve data quality, modeling, and infrastructure - Leverage AI-powered workflows and tooling to accelerate analytics, SQL development, documentation, and operational efficiency Qualifications - 5+ years of hands-on experience in Marketing Analytics, Growth Analytics, Product Analytics, or Performance Analytics - Strong experience supporting ecommerce, DTC, B2C, or consumer-focused businesses - Advanced SQL proficiency, including joins, window functions, cohort logic, attribution analysis, and large dataset querying - Experience working directly with warehouse-based analytics environments such as BigQuery, Snowflake, Redshift, or similar - Experience with BI and visualization platforms such as Looker, Tableau, or Looker Studio - Strong understanding of ecommerce unit economics, including CAC, ROAS, MER, LTV, payback periods, contribution margin, and funnel performance - Experience partnering with Paid Media, Growth, or Marketing teams on performance analysis and optimization - Demonstrated ownership of analytical initiatives with measurable business impact - Comfortable operating independently in ambiguous, fast-paced environments - Practical experience using AI tools such as ChatGPT, Claude, Cursor, Copilot, or similar within analytics workflows - Strong written and verbal English communication skills Benefits - Fully remote opportunity - Open to candidates based in Europe - Competitive compensation and benefits based on experience

• Collaborate with business stakeholders to gather and document requirements for prioritized data domains • Profile data and analyze source systems and data structures to assess content, quality, and structure • Develop comprehensive data mapping documents, including source-to-target specifications and transformation logic • Work with Master Data Management (MDM) and integration teams to validate mappings and ensure alignment with enterprise data models • Support workshops and working sessions to refine business rules, data definitions, and domain onboarding plans • Assist in identifying data quality issues and contribute to metadata and lineage documentation • Create and maintain data catalogs to ensure consistent documentation, easy discovery, and effective management of enterprise data assets • Coordinate with platform subject matter experts (SMEs) to ensure mappings are compatible with MDM, data hub, and integration platform configurations • Track mapping progress, dependencies, and issues across teams and tools, providing timely updates and resolving blockers • Collaborate with business stakeholders and project teams to understand data requirements for HR, Finance, Legal, and Professional Services functions • Analyze and document existing data sources, structures, and business rules within legacy systems • Develop data mapping specifications to ensure accurate migration to new systems • Support the extraction, transformation, and loading (ETL) of data, including profiling, cleansing, and validating migrated data • Perform data quality assessments and implement data validation processes to ensure completeness and accuracy • Assist in designing and testing data integrations between new enterprise platforms and other business applications • Create and maintain comprehensive documentation of data models, flows, and transformation rules • Identify and resolve data-related issues during migration and post-implementation • Provide regular updates and insights to project leaders and stakeholders regarding data migration progress and risks • Support ongoing data governance and quality initiatives as new systems are adopted

Role Description As an Intern at Dayforce, you’ll gain real-world experience with meaningful responsibilities, access to development programs, and the chance to collaborate globally, bringing new ideas and optimizing processes across multiple business units. Data analysts are responsible for evaluating data to develop reports and visualizations that identify trends or analytics that help companies make better-informed business decisions. They are comfortable working with structured data, performing analytics, building appropriate visualizations, and drawing conclusions based on empirical evidence rather than gut feel. They are good communicators who can translate their findings into business-friendly language. What you’ll get to do: - Develop reports and visualizations from structured data using Power BI - Prepare datasets by writing scripts in SQL or Python (must be able to do table joins) - Create standard measures to help our clients understand the health and efficiency of their organization. Examples of measures include: Quality of Hire, Turnover, Absenteeism Rate - Create research questions, conduct quantitative data analysis, and communicate findings to others including media and academic partners - Create blog posts to be published on Dayforce’s blog Qualifications - Currently pursuing a Bachelor’s degree, Master’s degree, or Post-Graduate Certificate in Data Analytics, Data Science, Statistics, Business Analytics, Computer Science, Economics, Psychology, Industrial-Organizational Psychology, or a related quantitative field. - Knowledge of human resources processes and procedures - Knowledge of people analytics best practices - SQL - Data management - Power BI - Strong verbal and written communicator - Strong organizational skills - Attention to detail - Learning mindset - Curiosity - Ability to interpret statistics Requirements - Full-time availability of 37.5 – 40 hours weekly is required to be eligible for this opportunity. Benefits - Experience working for one of the fastest growing Human Capital Management technology companies in the world - Access to Dayforce’s development programs and resources - Ability to work with as well as create relationships with members across the globe - Autonomy to bring forth new ideas and optimize existing structures within the organization - Meaningful responsibilities, enabling you to obtain ‘real-world’ experience - Dynamic hands-on exposure to multiple business-units and stakeholders across Dayforce

• Assess research feasibility and translate clinical questions into analytic plans • Extract, validate, and manage data from Epic, Databricks, and other sources • Perform data cleaning, quality assurance, and statistical analyses • Support IRB submissions and ensure compliance with data governance standards • Generate tables, figures, and visualizations for manuscripts and presentations • Collaborate with investigators on interpretation, abstracts, and dissemination