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Staff Technical Data Analyst, Lifecycle Marketing Operations

2 months ago

Atlanta, United States Intuit Full time

Overview

People who work for themselves fuel our economy. In the US, small businesses employ 60% of the workforce and create 80% of new jobs. Oftentimes the odds are stacked against them with 50% failing in the first 5 years. Intuit's Small Business and Self-Employed Group (SBSEG) is devoted to creating solutions to meet the needs and improve the chances of success for these entrepreneurs with a portfolio of solutions from Mailchimp and QuickBooks.

Intuit Mailchimp is a leading marketing platform for small businesses. We empower millions of customers around the world to build their brands and grow their companies with a suite of marketing automation, multichannel campaigns, CRM, and analytics tools.

What you'll bring

8+ years of experience in technical data analysis, data engineering, operations, or other data-centric roles, ideally interfacing with marketing teams You are extremely confident working with marketing data and teams to develop and improve campaign targeting, performance, and the underlying systems and processes You have a strong command of SQL and have worked with data pipelines and ETLs, data warehouses like BigQuery or Redshift, and visualization tools like Tableau or PowerBI You are experienced and comfortable configuring various tools and platforms within the data and martech ecosystem to deploy and manage marketing audiences and targeting definitions You are hands-on and lead by example, using your extensive knowledge in the data space to make an impact within the organization You have strong collaboration skills and ability to align efforts across multiple departments and cross-functional teams You are self-motivated to uncover and drive forward opportunities to continuously improve the marketing data landscape You are a “lifelong learner”, quickly adapting to new and changing systems and processes, and comfortable operating in a fast-paced and rapidly-evolving environment Direct experience with Segment, Marketing Automation platforms (Eloqua, Marketo, Adobe, etc...), ETLs/rETLs (Segment, Census, Mulesoft, etc...)

How you will lead

A critical member of the Lifecycle Marketing Operations team, this role will be the subject-matter expert on “all things” marketing data related. This role will rapidly learn the existing data ecosystem and quickly develop a command of marketing data and tools, acting as the first point of contact for Lifecycle Marketing teams to support segmentation and targeting needs for campaigns, and then delivering on these requirements by onboarding data to marketing systems as needed, and configuring targeting definitions and audiences for the Campaign operations team to execute on. This role will partner with data engineering teams to make data available when required, and drive any data issues to resolution. As the SME for marketing data, this role will enable scale and consistency by employing and sharing best practices and knowledge, owning operational runbooks and data/process documentation.

Work with cross-functional teams across analytics, data engineering, data science, sales, and product to rapidly understand the Mailchimp data landscape, and serve as the subject-matter expert for all technical marketing data requirements Hands-on ownership of E2E data onboarding for the marketing operations team, including configuring ETL’s and other pipelines to bring data into marketing tools, driving requests with dependency teams, and translating plain-language business requirements into actionable audiences and targeting definitions across marketing tools/platforms Manage all inbound data requests and ensure delivery within SLAs, proactively engaging directly with stakeholders and agency/contract support as neededEngage with product, operations and engineering teams to ensure that the data needed for Lifecycle Marketing use cases is rapidly made available when required Drive alignment across teams to standardize definitions of sharedaudience/segmentation criteria Partner with data engineering to improve reliability and observability of marketing data pipelines Analyze campaign data from marketing platforms to identify opportunities for improved performance, segmentation and targeting Use robust data skills to deeply interact with data across the organization, acting as data doctors to diagnose and drive resolution of data issues and provide support on tools and processes Own the standardization of data definitions, and create and maintain robust data documentation Identify discrepancies between systems leveraging different data sources, and define and drive resolutions with cross-functional teams and stakeholders, advocating for ideal-state architecture to deliver consistent targeting data across all marketing systems Support data definitions and data mapping requirements across Intuit business units in support of cross-functional marketing initiatives Support the marketing operations team with technical configuration of data pipelines and attribute mapping across systems

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