Marketing Data Analytics Manager in Chicago, IL

$100K - $150K(Ladders Estimates)

Persado   •  

Chicago, IL 60601

Industry: Enterprise Technology


5 - 7 years

Posted 55 days ago

What We Are Looking For:

As an experienced Marketing Data Analyst practitioner, you'll bring your expertise to bear on our data and business, building out our data analysis capabilities within the Marketing function. Your key contribution will be to define, generate, analyze, interpret and communicate the metrics which underpin our sales and marketing objectives. You'll help the marketing team make better, faster, more data-driven decisions and develop an expert knowledge of all areas of our global marketing operation.

You'll sit within our Marketing Operations function and will be required to work with technical and non-technical people across the entire company, from Marketing to Sales and Customer Success, and from Operations to IT.

What We Want You To Do:

  • Build a new Marketing BI capability: work with and guide the marketing leadership team to agree on clear, unambiguous KPI definitions and map the relationships between leading and lagging metrics.
  • Build, communicate, and maintain a suite of dashboards, BI applications, standardized reports, and native reporting within the Martech stack to track Marketing's key performance indicators against departmental objectives/targets.
  • Work with stakeholders across the Marketing team to enable them to self-serve business intelligence through the BI solution as well as marketing tools like DemandBase, Google Analytics, Qlik, Hootsuite, Pardot and Salesforce.
  • Leverage reporting suite and other analytics tools to support recurring marketing business reviews as well as deep-dive ad-hoc analyses of post-campaign performance to put forward hypotheses and recommendations for future initiatives and programs.
  • Support end-to-end view of marketing performance through the creation and communication of a marketing and sales online and offline attribution model, visualization of full funnel performance, demand modeling, and lead/pipeline forecasting.
  • Work with Operations to recommend and implement changes to systems, processes, and data that support the accurate analysis of marketing performance.

Who You Are:

  • You can turn complex business requirements into scalable, robust, explorable data products
  • You're a self-starter - you take initiative in spotting opportunities and finding ways to solve challenges with data
  • You're curious in nature and keen to identify the 'why' within a data set
  • You're used to talking about your work with clarity to your immediate team and senior management
  • A strong understanding & skepticism about the features and limitations of different data sources
  • You're good at quickly getting a grasp of any dataset that you're working with
  • You'll have experienced the technical challenges of setting up BI reporting for a fast-growing global B2B marketing function
  • You'll be able to demonstrate how you have automated repetitive tasks to make you and your team more efficient

What We Want To See:

  • 4+ years experience, having worked as a senior level Marketing Data Analyst within the marketing function of a B2B SaaS or tech organization.
  • A proven track record of enabling marketing teams to make better data-driven decisions
  • Commercial experience in a fast-moving company
  • As comfortable building ETL scripts as you are visualizing insights and finding the business narrative in the data
  • A vast wealth of experience working with a Marketing 'tech stack' including but not limited to tools such as Allocadia, Pardot, Google Analytics and Salesforce.
  • Have a solid understanding of digital marketing and can manage and report on marketing campaign tracking, including sources across multiple channels like web, social, email, live events, webinars, and online communities
  • Ability to communicate analyses clearly to both technical and non-technical audiences in both verbal and written format.
  • Strong mastery of Excel
  • Advanced SQL, R or Python skills are a big plus.
  • A degree in a numerate field (Business / Computer Science / Analytics / Math / etc)

Valid Through: 2019-10-17