Software Development • Agile Development • DevOps • Scrum • Mobile Applications
1001 - 5000
November 8
Software Development • Agile Development • DevOps • Scrum • Mobile Applications
1001 - 5000
• conducting analysis to estimate expected value of data products • measuring and tracking benefits created by data products, and converting them to financial or key KPI metrics • supporting business stakeholders and regional data analysts by understanding their needs and providing guidance and support • creating dashboards to track adoption and business impact of features and data product launched • diving deep into complex business problems and providing insights on digital features and AI model performance through hypothesis testing • partnering with cross functional teams on implementation • partnering with data science, data analytics and product managers on planning, goal setting and prioritization • partnering with data and engineering teams to improve instrumentation and product/models health reporting, pre/post analysis and business debugging • partnering with A/B test team to design experiments and post-hoc analysis of results • bringing data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise and informing key strategic decisions • promoting a culture of data driven technical excellence, ownership, collaboration
• 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 • Work from the European Union region and a work permit are required.
Apply NowOctober 24
51 - 200
Data Analyst at TECKNOWORKS optimizing client productivity through data insights.