Data Analytics & Visualization Analyst I

Gupta Media; Boston (MA); On-site; USD 70,000 - 85,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Pet insurance

401(k) plan

Paid time off

Paid family leave

Commuting stipend

Wellness stipend

Professional development

Job summary

Gupta Media, a Boston-based advertising analytics firm, is seeking a Data Analyst I to support reporting, tracking, data analysis, and visualization for paid media campaigns. You will assist internal analysts and provide client-ready insights, working with SQL, Excel, and data visualization tools.

The ideal candidate is resourceful, detail-oriented, and capable of translating technical work into clear explanations for non-technical audiences.

Qualifications

• Bachelor's degree in a relevant field required.
• Minimum of 1 year experience working with complex datasets, preferably in a fast-paced environment.
• Experience with marketing data or paid advertising is a plus.
• Strong technical toolkit including SQL, Excel, and data visualization tools.

Responsibilities

• Analytics & Visualization: design and maintain customized dashboards translating data into clear client reports via Google Sheets, Excel, and PowerPoint.
• Media Strategy: align client media strategy with business goals and identify advertising trends.
• Data Integrity: collaborate across teams to ensure scalable, accurate tracking and measurement frameworks.
• Strategic Consulting: discuss concepts like LTV, ROAS, and Incremental Revenue with clients to gain buy-in.

Skills

SQL

Excel

Data Visualization

Marketing APIs

Python

Education

Bachelor's degree in a relevant field

Tools

Google Data Studio

BigQuery

Snowflake

Rivery

Supermetrics

Job description

Gupta Media, a Boston-based advertising analytics firm, is seeking a Data Analyst I to support reporting, tracking, data analysis, and visualization for paid media campaigns. You will assist internal analysts and provide client-ready insights, working with SQL, Excel, and data visualization tools.

The ideal candidate is resourceful, detail-oriented, and capable of translating technical work into clear explanations for non-technical audiences.