Business Intelligence Lead

Full Job Description

Business Intelligence Lead

20 hours a week - possibility of converting to full time (must be able to work during business hours 4-5 days a week

70.00-75.00 per hour W2

100% Remote

No Corp to Corp or 3rd party agencies

Are you looking for your next career challenge? We are excited to be recruiting a Business Intelligence Lead for the Marketing & Communication (M&C) team. In this role, you will partner with Analytics, IT, and Marketing stakeholders to build, optimize, and scale our Business Intelligence foundations. This role will center on designing new BI environments, improving existing environments, and optimizing data engineering in Microsoft PowerBI. It also offers other opportunities such as analyzing performance data, informing marketing strategies, educating our Marketing team members, and self-directed growth within your role.

 

Marketing Measurement, Analytics, and Insights, you will:

Work with Analytics, IT, and Marketing stakeholders to build, optimize, scale, and manage our Business Intelligence ecosystem, built on Microsoft PowerBI.

Manage workspaces, data refresh, dataflow creation, and the ongoing improvement of our data processing efficiency, including automation, where possible

Help to improve the taxonomy, process, and technical infrastructure that supports our data work across the organization.

Collaborate with internal stakeholders and agency partners to analyze data, ensuring your expertise and our collective Marketing Analytics perspective shines through.

Champion a hybrid “Service/Self-Service” analytics model within M&C – educating peers as you build solutions to help them. 

 

You have:

Five or more years’ experience working in Analytics, Data Engineering, or a similar field. Marketing experience is preferred, but not necessary.

Deep familiarity with Microsoft PowerBI/Microsoft Fabric; including the creation of dashboards, workspace management, ETL, data engineering, and other components within the tool.

A strong understanding of relational databases and supporting concepts; including granularity, keys, joins, and transformations. SQL experience a plus.

The ability to understand the context of data and how it can inform business analysis.

Confidence in verbal and written communication, with the ability to synthesize sophisticated information and convey complex ideas in an accessible manner.

An intrapreneurial mindset, seeking out ways to continuously improve both what is produced and how work gets done.

Working knowledge of common marketing data types is a plus, but not required. These data may include web/mobile analytics (e.g., Google Analytics, Heap), advertising analytics (Google Marketing Platform, Meta, The Trade Desk, etc.)

Champion a hybrid "Service/Self-Service” analytics model within M&C – educating peers as you build solutions to help them.