- Develop analytics strategy for new website components or app features.- Tag management and troubleshoot code issues to ensure events are firing properly. - Owner data platforms, roadmaps, upgrades, changes, and initiate project for funding.- Stand up tracking for new platforms and pages.- Lead reporting, developments, and dashboards for site performance. - Run Growth Hacking Jira Sprints and push Product Team project tracking.- Aggregate reporting sources into single platform (e.g. Domo, etc.).- Make site recommendations/optimizations with analysis of project impacts. - Direct performance marketing with analysis of site traffic KPIs to drive recommendations.- Tackle site landing page performance analysis (e.g. conversions, UX, traffic source, etc.)- Cross-functional A/B and multi-variate testing to develop hypotheses and share insight.- Consolidate survey metrics and leverage data as part of holistic site performance story.- Estimate future analytical needs for new digital products to manage department growth.- Point of contact for Digital metrics and analytics requests from stakeholders. - Maintains Digital Marketing Analytics Database to track and prioritize all requests

- Own analytics to create performance dashboards and enable access to key learnings easily.- Brainstorming and execution of cross-channel reporting, recaps, testing, and scoping.- Maintain data integrity and to proactively solve for breaks, variances, or gaps.- Run analyses to optimization opportunities in audiences, channels, products, etc.- Lead analytics in predictive, segmentation, customer path, and attribution modeling.- Understand and translate data into tasks, and articulate findings/recommendations.- Collaborate with technical leads on proper site tagging, tracking, and data infrastructure.- Contribute effectively and positively to team operations and culture.

- Create, maintain, run, and report on various KPI’s for Lakeshore Learning’s website. - Track and summarize AB test findings for key stakeholders. - Deliver insight, spreadsheets, and consumer reports to the C level Leadership Team.- Update automated reports and ad-hoc request as needed to give insights on findings.- Assist with tag management and implementation for future reporting. - Model reports for departments based on needs and interpret data for actionable results. - Understand the consumers we reach, and want to reach, by forming customer reports. - Research insights into possible markets and consumers for further product development. - Craft narratives out of numbers to help employees understand the company’s direction.- Cross-functional training on how to merge data types for ease of use and readability.

- Build/maintain weekly, monthly, and ad-hoc dashboards for internal and external tracking.- Create reports based on sales, web traffic, and social impact of product. - Research and build customer profiles to help target demographics and product placement.- Research new government regulations that could impact the sales and distribution of CBD products.- Establish KPIs for goal setting and forecasting. Help other aline with KPIs and goals. - Report to executives on the health of the company and reach of our brand. - Track site usage and effectiveness at converting new and returning customers. - Help create and aggregate survey data from third party platforms for internal consumption. - Support any data pulls that might be needed by various departments as needed.- Translate complex information into bit size sound bits for HR, PR, and Social releases.

- Run daily, weekly, and monthly reports - Build quarterly presentation, distribution reports, and disco list based on data analyst - Create ad-hoc account reports, rep communication, and sell sheets- Track new projects and ensure teams remain on track and up to date with current status- Handle requests from 100+ field agents and reps. - Internally manage the Rep & Field Sales Directory - Manage all request for the Sales, Marketing, PR, and Brand Design team.

- Extract and present actionable perspective for specific customers.- Deliver business insight from data sources (e.g. Excel, CSV files, relational databases).- Create product presentations and spreadsheets for non-technical team members .- Practical mastery of Excel, Python, and SQL for data analysis.- Solid foundations of analytical processes and thinking to address challenges head on. - Cross functional training on how to merge data types for ease of use and readability.