Digital Analytics Manager

Shift Digital•Birmingham, MI

1d•Hybrid

About The Position

Shift Digital is seeking an experienced, client-facing Analytics Manager to join its Advanced Analytics team. The role manages client relationships, leads strategic analysis, and delivers insights intended to drive measurable business impact. The manager oversees their own workload and that of a small team, owns deliverables from start to finish, and serves as a trusted advisor to clients. The work spans complex datasets, including digital media, website behavior, inventory, and vehicle sales. The position requires uncovering trends, developing data-driven recommendations, and communicating findings clearly and confidently. The role is full-time and requires working in the office four days per week. The company mentions competitive compensation, paid holidays, generous paid time off, other employee perks, and great benefits.

Requirements

At least 7 years of experience in an analytics, business intelligence, or marketing performance role, with management experience.
Advanced Power BI skills, including data ingestion, modeling, DAX, and interactive dashboard design.
SQL skills and the ability to manipulate and query large, complex datasets.
Experience applying statistical techniques such as regression, clustering, or significance testing.
Ability to translate data into clear, concise recommendations and present to senior-level clients.
Strong organizational skills and ability to manage multiple projects with minimal oversight.
Familiarity with assigning tasks and working in sprints.
Proficiency in Microsoft Excel and PowerPoint.

Nice To Haves

Experience in automotive digital marketing analytics.

Responsibilities

Serve as the primary analytics lead for one or more client accounts, managing deliverables, timelines, and communications.
Analyze multi-channel performance data, including website engagement, digital advertising, sales activity, and customer leads.
Build and maintain advanced Power BI dashboards and reports using DAX and data-modeling best practices.
Conduct statistical and root-cause analyses to uncover performance drivers and optimization opportunities.
Present actionable insights and recommendations to clients and internal leadership, in writing and through live presentations.
Identify new analysis opportunities that support client goals and business growth.
Collaborate with account managers and internal stakeholders to align insights with broader strategy.
Mentor junior analysts and contribute to team knowledge-sharing.
Manage the workload of a small team and own deliverables from start to finish.