Senior Data Analyst - Marketing

Senior Data Analyst - Marketing

We’re looking for a curious, collaborative, self-starter-- someone who’s ready to dig in and build solutions to both simple and complex problems. This position will play a critical role in working with marketing data to better understand the relationships within the full lifecycle funnel from target-to-prospect-to-customer. This role will serve a critical role in working with the marketing team to ensure we are optimizing marketing spend, lead volume and opportunity creation. This role will be responsible for monitoring and reporting on key marketing performance metrics.

Key Requirements:

  • Project management experience with an exceptional ability to interface amongst multiple stakeholders
  • Ability to clearly communicate complicated processes to stakeholders
  • Understanding of ABM best practices, KPIs dashboarding, and reporting frameworks
  • Campaign optimization experience - A/B testing, etc
  • Strict attention to detail and ability to troubleshoot various issues, integrations, inefficiencies and more
  • Self directed learner who performs well in a fast paced environment
  • Comfortable working with large data via query languages

Responsibilities:

  • Provide operational and analytical support to the revenue generating teams by synthesizing data from multiple systems into actionable insights and strategies
  • Analyzing marketing campaign impact on a weekly, monthly and quarterly basis.
  • Provide strategic guidance and insight about attribution trends, prospect sentiments, and the effectiveness of marketing strategies
  • Improve ROI of marketing initiatives by building robust performance measurement and quantifying indirect influence of media channels.
  • Analyze multi-channel acquisition paths and derive actionable insights to optimize media mix and conversion funnels
  • Develop marketing and sales conversion and attribution models
  • Experience analyzing performance of inbound self-serve GTM analysis to deliver actionable insights
  • Discover and effectively communicate actionable insights to marketing stakeholders and senior leadership that address the most important business questions
  • Work closely with our Data and Business teams to build efficient and sustainable data models (tables, views, ETL workflows, etc.), along with integrations of data collected from new tools into our schema
  • Understand and communicate how campaigns / activities are contributing to various funnel metrics
  • Continuously consider ways to improve the way we discover, process, and surface data to our partners
  • Sift through large data sets via query languages and BI tools for dashboards and reporting (Looker, Quicksight, Redshift, Metabase, etc)

Qualifications:

  • 5+ years of experience in a role with hands-on experience in data analytics, data management, and statistical modeling
  • 3+ years of Marketing/RevOps operations experience, a plus if you have experience with Sales & Customer Success
  • Understanding of ABM techniques and best practices
  • Excellent written and verbal communication skills. Comfortable presenting data and providing recommendations with confidence to senior level partners, even when there is ambiguity involved
  • Ability/experience connecting data from multiple marketing sources including but not limited to: email, web, user/usage data, digital ad platforms and survey platforms.
  • Familiarity with marketing funnel reporting and industry critical metrics, such as website sessions, MQLs, pipeline, and bookings
  • Deep understanding of SQL in analytical data warehouses and in business intelligence tools (we use Metabase and Looker)
  • Deep understanding of relational and non-relational databases, SQL and query optimization techniques
  • Hands-on data engineering/ETL experience is preferred and recommended

Nice to have:

  • Experience in enterprise B2B marketing
  • 3 years of experience working in SFDC
  • Experience with multi-channel campaigns across email, events, web display ads, marketing content, etc.
  • Familiarity with project management and issue tracking tools (Asana, Basecamp, JIRA, Trello, etc.)
  • Familiarity in machine learning methodologies
  • Experience with programming languages (Python, R, etc)
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