About The Position

Chartis Interactive is seeking a Senior Technical Data Analyst to collaborate with project teams in identifying KPIs, developing tracking plans, and configuring analytics platforms. This role involves leading stakeholder interviews, creating dashboards, and establishing governance plans. You will work closely with internal teams, client stakeholders, and agency partners to ensure successful analytics implementation.

Requirements

  • Bachelor’s degree in relevant field (e.g. analytics, data science, decision science, etc.), but demonstrated experience is equally (if not more) important.
  • Expertise in the e-commerce space and helping clients align on the appropriate KPIs and metrics.
  • Deep knowledge and recent experience using either Adobe or Google Analytics, and associated Tag Managers.
  • Solid background in SQL. Ability to easily navigate and extract data in data warehouse environments such as BigQuery and Snowflake.
  • Ability to map metrics to data sources, identify infrastructure and tool needs, and develop an analytics roadmap.
  • Strong verbal and visual communication skills to present recommendations and achieve client stakeholder buy-in.
  • Ability to work effectively with different people and agency partners in technology, marketing, and strategy.
  • Experience with identifying insights (not just reporting), making sound recommendations, and educating stakeholders about the difference between insights and reporting.
  • Candidates are expected to have at least 5 years experience

Nice To Haves

  • Advanced analytics, data science, and/or omnichannel measurement experience are a plus.
  • Previous consulting and training experience are a plus.
  • Knowledge and appreciation for other types of research and data that supplements analytics is ideal.

Responsibilities

  • Collaborate with project teams to identify relevant and measurable key performance indicators (KPIs) and targets that map to business and website objectives.
  • Develop a website tracking plan that clarifies everything that needs to be measured, including segments, user flows, goals and conversions, etc.
  • Identify tools and infrastructure requirements along with an implementation roadmap.
  • Lead and participate in stakeholder interviews and alignment work sessions throughout the course of the project.
  • Create dashboard views and reports using Looker, Tableau, or Power BI. Leveraging data from multiple sources including ad platforms and data warehouses.
  • Establish high-level governance plan (e.g. reporting guidelines, data dictionary, etc.) to ensure clients have a blueprint for success.
  • Configure Analytics platform (Google/Adobe), determine tagging requirements and implementation in Tag Manager, and train and work with the technology team and agency partners to ensure that tags are implemented correctly during staging and production.
  • Develop an analytics checklist that spans all stages of the measurement planning and implementation process that will require stakeholder sign-off.
  • Identify opportunities to advance analytics and data maturity for future phases (e.g. advanced analytics, omnichannel measurement, etc.).
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