Senior Data Analyst
February 15
Description
• Leads data analysis projects, contributing expertise towards defining project scope, objectives, data requirements and methodologies; works with partners and stakeholders to achieve project objectives, including influencing strategic and operational decisions. • Designs and delivers briefings and provides expert advice including recommendations to Marketing Acquisition team and stakeholders based on analytical findings, to influence strategic and operational decisions. • Provides expert guidance on implementation Acquisition marketing analytics plan • Provides leadership in using data as a vital business resource by setting priorities for generating insights from data. • Develops methodologies for testing campaigns, analyzing key metrics, and identifying opportunities to improve marketing performance. • Identify trends and opportunities for growth through analysis of complex data sets • Applies scientific techniques and tools, and interpretation of findings which result in significant and long-term impacts to work unit objectives and operations for the organization. • Prepares highly technical and science-based reports and documents (i.e. standards of practice, internal briefing notes, feasibility reports, evaluation reports, presentations), and other project management documents. • Participates in the design and validation of digital analytics dashboards to assess digital performance and analyze trends. • Promotes and propagates data analytical skills across Trafilea, understanding the variety of functional roles relating to data analytic/science and how they can be most effectively applied to solve business problems and clearly communicates insights through data visualization techniques. • Collaborate with marketing stakeholders to translate their needs into meaningful and actionable high impact analysis or potential machine learning solutions • Draw meaningful conclusions from data and identify potential opportunities for improvement via customer journey reporting and attribution approaches • Improve our attribution/media mix methodology through a combination of analysis, lift/incrementality tests, & internal data resources • Builds econometric and statistical KPIs for various problems including propensity, forecasting, pattern analysis, sampling, simulations, and so forth. • Designs, implements, and evaluates experiments, A/B test, AdHoc analysis, or forecasting to solve business’s most complex issues.
Requirements
• Bachelor’s degree in Computer Science, Engineering, Statistics, Economics or quantitative focused study • Experience in marketing analytics and understanding KPIs from Tableau and Excel computention. • Deep experience in data analysis and manipulation, both in SQL and NoSQL databases. • Deep Experience working with SQL and Data Warehouse data. • Experience working with Python for Analytics. • Highly analytical and quantitative, with strong attention to detail. • Proactive in taking ownership of projects and issues. • Capability to manage several projects and areas. • Passionate about learning and implementing new data-related technologies in the market. • Ability to communicate complex ideas effectively. • Eager to take on new challenges and learn new things. • Experience in marketing analytics or e-commerce analytics (desirable).
Benefits
• Collaborate with world-class talents in a data-driven, dynamic, energetic work environment. • Opportunity to grow and develop both professionally and personally. • Safe space to be who you truly are, with a commitment to diversity, equity, and inclusion. • Openness to new ideas and initiatives. • Great benefits package including remote work, 15 working days of paid holidays, Learning subsidy, and more! • We've been recognized by Forbes and FlexJobs as one of the Top 25 Companies for Remote Workers.
Apply Now