Senior Data Analyst

Summary

Join Xebia, a global leader in digital solutions, and contribute your expertise as a Data Analyst. You will conduct data analysis to measure the value of data products, support business stakeholders, create dashboards, and dive into complex business problems. Collaborate with cross-functional teams, including data science, data analytics, and product management. This role requires strong analytical, communication, and visualization skills, along with experience with SQL, big data, and at least one statistical programming language. The ideal candidate will have a Bachelor's degree in a relevant field and 3+ years of experience. The position is based in Moldova and requires the ability to work until 7 PM CET.

Requirements

• Ability to start immediately
• Openness to work daily between till 19.00 pm CET
• 3+ years of professional experience analyzing complex data, drawing conclusions, and making recommendations
• 3+ years of applied data visualization experience - Tableau and PowerBI as main visualization tools
• 3+ years of experience in extracting & manipulating large data sets from various relational databases using SQL (Amazon Redshift, Oracle, Google BigQuery)
• Coding skills in at least one statistical or programming language (R or Python preferred) to import, summarize, and analyze data
• Hands-on experience working with big data, ideally clickstream data, in big data volume sectors such as ecommerce, gaming, social network etc. ecommerce platforms are a plus
• Ability to translate and present complex analysis in executive summaries - clear and effective written and verbal communication and strong interpersonal skills
• Strong problem solving skills
• Bachelor's in economics, Statistics, Data, Data Science and Engineering (Masters is a plus) or equivalent experience
• Good verbal and written communication skills in English
• This position is open only to candidates currently residing in Moldova and holding the legal right to work in Moldova

Responsibilities

• Conduct analysis to estimate expected value of data products; measure and track benefits created by data products, and convert them to financial or key KPI metrics
• Support business stakeholders and regional data analysts by understanding their needs and providing guidance and support
• Create dashboards to track adoption and business impact of features and data product launched
• Dive deep into complex business problems and provide insights on digital features and AI model performance through hypothesis testing; partner with cross functional teams on implementation
• Partner with data science, data analytics and product managers on planning, goal setting and prioritization
• Partner with data and engineering teams to improve instrumentation and product/models health reporting, pre/post analysis and business debugging
• Partner with A/B test team to design experiments and post-hoc analysis of results
• Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise and inform key strategic decisions
• Promote a culture of data driven technical excellence, ownership, collaboration