Data Analyst

• Manage and implement global digital products and solutions in the HSE (Health, Safety & Environment), Risk Management and OPEX markets.
• Identify opportunities to automate and standardize processes, using AI and automation as disruptive accelerators.
• Collaborate with cross-functional, geographically distributed teams.
• Prepare documentation, reports and client presentations.
• Provide product configuration training and delivery support to global team members.
• Interact directly with clients to ensure best practices in management and deployment.
• Apply strong attention to detail and data storytelling skills to communicate insights effectively.
• Stay current with technology trends and demonstrate adaptability in a dynamic environment.
• Work with Agile methodologies and SQUADs.
• Perform unit testing and quality assurance for products and projects.
• Lead by example and support ongoing process and technology improvement initiatives.

Senior Data Analyst

• Drive Insights: Translate complex data into actionable business insights, communicating them effectively to senior leadership through clear reports and presentations.
• Optimize Campaigns: Collaborate with the commercial team to design and execute promotional campaigns to drive incremental ROI.
• Test & Learn: Design and implement A/B and multivariate tests to measure the incrementality of various promotions and customer touchpoints.
• Build & Automate: Design, build, and automate reports and dashboards using industry best practices to support core business functions.
• Identify Opportunities: Spot new loyalty, retention, and commercial opportunities based on exploratory data analysis, industry trends, and the competitive landscape.
• Measure Success: Establish KPIs and apply analytical modeling techniques to measure incrementality for key strategic initiatives.

Junior Data Analyst – CRM

• Own and manage the Power BI workspace for marketing, ensuring dashboards and reports are accurate, scalable, and user-friendly.
• Develop, maintain, and optimize Power BI dashboards for key marketing stakeholders across campaign, website, and CRM performance.
• Act as a point of contact for analytics topics within marketing, translating business questions into clear analyses and actionable insights.
• Analyze marketing, web, and CRM data to identify trends, opportunities, and areas for improvement.
• Collaborate closely within the data team to ensure reporting is based on reliable and well-structured data.
• Identify gaps in available data and define requirements for new data sources or improvements to existing datasets.
• Drive best practices for reporting design, KPI definitions, documentation, and workspace governance within Power BI.
• Support ad hoc requests from stakeholders with clear analysis, visualizations, and recommendations.
• Present findings to technical and non-technical audiences in a clear and business-relevant way.

• Design and implement dynamic pricing models for marketplace services, premium features and free listing tiers
• Conduct price elasticity analysis and develop optimal pricing strategies across different markets
• Plan A/B testing initiatives for pricing experiments and analyze results to drive revenue optimization
• Monitor competitive pricing landscape and provide strategic recommendations
• Help building econometric and/or ML models to forecast marketplace trends, user behavior, and revenue impacts
• Perform market analysis to identify growth opportunities and potential risks
• Develop scenario planning models for strategic decision-making
• Create economic frameworks to evaluate new product launches and market entries
• Provide economic analysis on marketplace dynamics, supply-demand balance, and network effects
• Develop KPI frameworks and dashboards for pricing and performance tracking
• Translate complex economic analysis into actionable business recommendations for non-technical audiences
• Work closely with Product, Finance, and Category teams to align pricing and monetization strategies
• Present findings and recommendations independently to senior leadership
• Support strategic planning processes with economic insights and modeling
• Mentor junior analysts and contribute to team capability building

• Design, develop, and optimize **tabular data models** (Power BI / Analysis Services Tabular)
• Develop and maintain **Power BI reports and dashboards**, from data sources to end-user delivery
• Define and implement **KPIs and metrics using DAX**
• Work closely with business teams to gather requirements and validate outputs
• Ensure best practices in **data modeling, performance optimization, and BI governance**
• Support continuous improvement of reporting solutions and analytical processes

Data Analytics Consultant

• Gather, analyse and document business requirements for dashboards and analytical use cases
• Translate business needs into data models, transformation logic and dashboard designs
• Design and implement data transformations across Data Lake layers (RAW → TRUSTED → REFINED)
• Develop and maintain data pipelines using PySpark and Python
• Ensure data quality, consistency and compliance with data governance standards
• Build, test and deploy datasets, analyses and dashboards in AWS QuickSight
• Collaborate with Data Stewards, IT teams and business stakeholders
• Support UAT, user training and adoption of self-service analytics

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