Want to help the world’s leading brands grow through local marketing?

We set the bar high, then raise it higher. We thrive on opportunity and boldly accept challenges. We embrace success and celebrate the smallest of victories, together. We digest our mistakes and discover better paths, together. We sit at the table with some of the world’s largest and most powerful brands. We inspire others in the industry through example.

We are the brand ambassadors…

…for our clients and investors, by protecting and amplifying their most important assets

…for our communities, by volunteering and giving back to the cities we love

…for each other, by challenging peers to learn, grow and succeed

…for BrandMuscle, by being thought-leaders and contributing to the success of the company

About BrandMuscle
BrandMuscle powers local, channel, and partner marketing for over 300 of the world’s largest brands. With 700 full-time employees across the globe, BrandMuscle has the industry's largest client service, product development, and marketing execution support team.

About Manager, Data Analyst

Join a team of global marketing analytics leaders as a Manager, Data Analyst. This role will create analytics and insights reports based on requests we get from our clients. Request will include digital paid media, website analytics, software adoption as well as other marketing related activities. This team will work to utilize industry best practices for creating reports and dashboards to help our clients understand how their marketing activities are helping in their business growth. This team will utilize tools like Adobe, Power BI, Snowflake, SQL and Jira in their day-to-day activities. This role with work alongside a team of specialists and will join in on development of new reports and training programs for our team. As a key member of our global team, this person must enjoy being a data detective who partners with global teams to identify opportunities.

Responsibilities

• Manage a team of data analysts and scientists
• Work within our Daily Scrum process
• Design and Implement reporting dashboards for enterprise clients
• Partner with Tech and Data Science team on data engineering and data warehouse projects
• Assist in maintenance and development of partner data feeds from Adobe, Facebook, Instagram, Pinterest, Twitter, The Trade Desk, Simpli.fi, and others as necessary
• Partner with the Director of Product Management, VP Analytics & Insights, and VP Performance Marketing as well as other directors and marketing strategists, to create and deliver accurate, attractive client reports
• Troubleshoot issues proactively in dashboards or reports, ensuring prompt issue resolution across data feeds and platforms
• Find actionable insights in the data to proactively recommend campaign optimization opportunities
• Work closely with a global team of analytics and reporting specialists to achieve objectives
• Develop and implement company processes and policies for reporting best practices
• Work between U.S. and India teams to support the forward movement on projects

Requirements

• Degree in a STEM field or relevant experience/qualifications in an area such as statistics or data analysis
• 3-5 years of digital analytics and reporting experience required
• Advanced SQL - able to read and understand database schemas and write complex queries joining multiple tables
• Experience in designing data models
• Professional experience in using Star/Snowflake schemas
• Strong analytics skills – ability to wrangle complex and messy data and use both statistical and graphical methods to generate and interpret insights
• Advanced Excel – cleaning, manipulating and visualizing data
• Experience developing reports using reporting tools, such as Power BI, Tableau, DOMO, Adobe Analytics, etc.
• Experience managing and prioritizing a complex task list to meet tight deadlines
• Comfortable interacting with clients to communicate reporting issues, opportunities, or changes
• Self-starter, ability to work without direct supervision
• Excellent organizational and time management skills
• Excellent communication skills, both verbal and written
• Experience translating business requirements into technical specifications
• Fluency in data manipulation with Python is highly desirable