Serve as a subject matter expert to both the Analytics team and business leaders, providing sound & data-driven strategies that help meet or exceed business goals
Develop and create models in production (classification, clustering, learning models, multivariate regression, time series, k-means, etc.) to identify the best business solution
Use Python and packages like Pandas, NumPy, etc., perform complex statistical analysis on results, and utilize APIs for data ingestion
Use SQL to self-serve data from disparate sources & manipulate multiple large data sets simultaneously for analysis
Perform complex exploratory analysis on historical search engine marketing campaign data - including keyword performance, ad spend, and conversions - and identify opportunities for new expansion & data acquisition
Collaborate with teams in Taxonomy & Performance Marketing to proactively identify keyword trends & develop data-driven optimization strategies
Use tools like Tableau, Looker, or PowerBI to visualize results and present directly to business leaders
Provide mentorship & training to junior analysts and new hires, and evangelize ways to implement better data-driven practices throughout the organization
Stay up-to-date with industry trends and best practices in search engine marketing and data analysis
Business Analyst
Qualification :
BSC, CBAP
Experience :
7+ years of relevant working experience
Description :
Identify, analyze and document requirements and use-cases related to data, reporting and analytics.
Identify and document business rules for data, and the relationships between attributes and entities.
Use SQL, PowerBI, and Excel and other tools to extract sample data for profiling and data quality assessment.
Become a subject matter expert and support the technical team to implement requirements as identified.
Extract data or create reports with the new platform to ensure requirements are met with high quality.
Participate in deliverable acceptance, rollout and stakeholder education to use the platform effectively.
Collaborate with staff and leaders in all levels and roles.
Contribute to establishing best practices for business analysis and data analysis and visualization.
Share your expertise and mentor and motivate other team members.
Provide input to project plans, risk mitigation, status updates and estimates.