Marketing Data Analyst

Role Summary

As Sr. Marketing Data Translator in our Brand Metrics and Intelligence team, you will be a key part of our mission to be best-in-class data-driven marketers and storytellers. Working alongside our Sr. Manager, Brand Metrics, and Intelligence, you will help create, pressure-test, and refine our brand value and insights model, working with our marketing, data, sales, web, and creative stakeholders to build, implement, and launch measurement models, dashboards, reporting, and intelligence resources. You’ll also use those tools to advise, educate, and inspire our brand marketers and storytellers to see, understand, and harness data, metrics, and intelligence to better serve our audiences, increase our brand awareness and value, strengthen our storytelling, and evangelize the impact of Client’s Brand Marketing efforts across our team and organization.

What you get to do in this role:

This is a visible supporting role with a wide organizational impact that will require the ability to influence, engage, and inspire teams and leaders across the organization.

Design and manage the building and launch of insightful, and efficient & reliable solutions, tools, and resources for data-driven marketers and storyteller, such as data visualizations, dashboards, reporting systems, and frameworks to model and harvest data across marketing, sales, and systems (such as Google Analytics, Adobe Analytics/Adobe Experience Platform, w/experience in Snowflake, Informatica, Power BI, external systems through API’s etc. a big plus)

Closely work with content creators, strategists, storytellers, data scientists, other internal data groups and business partners to deliver insights and data solutions which will support a variety of practical and innovation use cases, as well as predictive and reporting applications.

Collaborate with cross-functional global and local teams, including data engineers, data scientists, brand, storytelling, and marketing teams, to understand business objectives.

Harvest, analyze, and translate data into actionable insights and solutions for measuring brand and marketing value, impact, and amplifying omnichannel brand influence, storytelling, and acquisition effectiveness.

Serve as an analytics translator, effectively bridging the gap between technical, marketing, and operational teams, ensuring effective communication and alignment of goals both globally and locally.

Participate in the development cycle of scalable marketing insights and data solutions by pressure testing requirements for internal team feasibility, contributing expertise to enhance or create new models and solutions supporting brand marketing strategies.

Serve as an advisor, educator, and subject-matter-expert: sharing progress and insights with business stakeholders, promoting the adoption and utilization of insights and analytic solutions to optimize brand marketing effectiveness, and supporting the movement to create a data-driven marketing organization.

Stay up to date with advancements in brand and marketing insights and analytics, AI, and omnichannel marketing, applying knowledge to drive innovation and improve business outcomes.

Skills

Curiosity and desire to question the status quo.

Have keen interest in creating an excellent insights and data-driven marketing environment – adhering to SLAs through ingenuity, automation, setting high bar on insights and data quality, be innovative to create custom solutions and frameworks if vital, to meet diverse business needs for insights and reporting!

You are enthusiastic about your work, and you have a strong sense of ownership, with the ability to work alone or in a team environment.

Excellent communicator with superior verbal, written, technical and presentation skills that can motivate and influence partners and stakeholders, both internal and external to the team.

Always be on the lookout to automate and/ or improve existing insights and data processes for quicker turnaround and high productivity.

Can quickly change gears based on varying data, insights, and intelligence needs and priorities to meet milestones/ dates and deliver projects.

Be curious and always on the lookout to apply modern data translation and science techniques to unearth and demonstrate brand marketing value and tackle new business challenges.

Strong bias towards action and proven ability to work iteratively and quickly to show incremental impact and value.

Strong understanding of marketing and content value models, with data engineering and data science concepts a plus

Proficiency in data visualization tools and techniques with ability to present insights in a compelling and actionable manner.

Strong analytical and problem-solving skills, with a focus on driving impact and delivering actionable insights that enhance omnichannel capabilities.

Excellent stakeholder management skills, with the ability to collaborate and influence cross-functional teams both globally and locally.

This work requires strong business acumen by having a solid grasp and understanding of the how PaaS/SaaS businesses operate, and project management and strong interpersonal skills with a focus on delivering high quality customer service.

MSFT Dynamics or CRM experience is a plus but not required.

Adobe Experience Platform experience is a plus but not required.

5 years experience in one of the following areas:

Deep knowledge of harvesting, translating, and utilizing insights and analytics for demonstrating and driving brand and marketing performance

Leveraging and implementing brand, marketing, and content value modeling (w/predictive analytics and ML/AI experience a plus)

Applying Brand/Marketing insights to business optimization activities

Experience with modern content and marketing analytic platforms and tools such as Google Analytics, Social and Digital Analytics, Adobe Analytics, PowerBI, Tableau

Experience with creating, socializing, and managing insights and analytics processes across brand and marketing functions (media, social, advertising, operations, content, etc.)

Flexibility and ability to work with ambiguous problems.

Ability to work under pressure in a fast paced, deadline driven team environment.

Education

Bachelor’s degree in marketing research, Marketing Analytics, Business Analytics, Decision Sciences, or Statistics (w/Brand and Awareness knowledge ideal)

Magnit