Business Analyst (Marketing)
This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone.
Our client has an established reporting foundation supported by a central data team, including schemas, core datasets, and dashboards. They are seeking an analyst to work on top of this existing infrastructure and turn day-to-day business questions into clear, structured analysis and actionable reporting.
Role Overview
The Business Analyst (Marketing) will serve as a go-to resource for day-to-day business analysis, investigating changes in key metrics and translating findings into reporting that stakeholders can act on.
This is a hands-on role combining analytical thinking with practical execution. The Marketing Analyst will conduct business analyses, own recurring reporting, maintain dashboards, query existing datasets using SQL, and support stakeholders with ad hoc analysis requests.
The role requires someone who can independently structure an investigation while also managing the ongoing maintenance and detail-oriented work required to keep reporting accurate, current, and easy to use.
Location
Fully Remote | 9:00 AM - 5:00 PM EST
Key Responsibilities
Business Analysis
Turn open-ended business questions into structured, well-reasoned analyses.
Scope business questions and determine the appropriate data needed for analysis.
Investigate changes in business metrics.
Deliver clear findings and recommendations based on analysis.
Recurring Reporting
Own and maintain recurring reports and dashboards.
Ensure stakeholders have timely, accurate, and consistent views of performance.
Dashboard Maintenance
Manage ongoing dashboard hygiene and upkeep.
Update workbooks and adjust dashboard layouts.
Keep visualizations clean, organized, and easy to read.
Data Exploration
Write SQL to query existing datasets from established schemas.
Create previews of data models based on business questions.
Work with the existing data infrastructure without needing to build or maintain the underlying infrastructure.
Stakeholder Support
Serve as a reliable analysis resource for the team.
Respond to ad hoc analysis requests.
Help stakeholders understand what the numbers mean.
Qualifications
Experience
3+ years of experience in a data analysis, business analysis, or reporting role.
Experience independently structuring and working through analyses from broad business questions.
Hands-on experience with a modern BI or analytics tool such as Sigma, which is strongly preferred.
Experience with Tableau or a similar platform is transferable.
Experience with Salesforce reporting, including building and pulling reports and dashboards, is a plus.
Familiarity working alongside a central data or analytics engineering team is a plus.
Exposure to marketing metrics and funnel analysis, including MQLs and campaign performance, is a plus.
Skills
Solid working knowledge of SQL for querying and exploring data.
Ability to break down broad business questions, investigate them, and communicate the answer.
Ability to maintain dashboards, including formatting, layouts, and ongoing upkeep.
Ability to clearly present analytical findings to non-technical stakeholders.
Comfort with manual and detail-oriented reporting work.
Experience using AI tools such as Claude for data analysis and Claude Code for workflow acceleration is a plus.
What Success Looks Like
Open-ended business questions are translated into structured analyses with clear findings and recommendations.
Recurring reports and dashboards provide timely, accurate, and consistent views of performance.
Dashboards remain current, organized, and easy to read.
Existing datasets are effectively queried and explored using SQL.
Stakeholders receive reliable analytical support and can clearly understand what the numbers mean.
Opportunity
This role offers the opportunity to become a go-to resource for day-to-day business analysis while working on top of an established reporting and data foundation. The Business Analyst (Marketing) will work across business analysis, recurring reporting, dashboard maintenance, data exploration, and stakeholder support.
Application Process:
To be considered for this role these steps need to be followed:
Fill in the application form
Record a video showcasing your skill sets
Skills
As published by ashby · 16 questions · 5 written answers
Basics
Full Name:, Email:, Resume:, What country will you be working from?
Short answers (3)
- Phone Number:
- What's your expected monthly compensation in USD for a 40h/week (full-time) role?
- What's your expected monthly compensation in USD for a 20h/week (part-time) role? optional
Pick from a list (8)
- What is your level of English proficiency?
- Are you available to work 9 AM - 5 PM EST?
- Do you have any friends, family members, or personal connections currently working at Scale Army or involved in any of our projects?
- How many years of experience do you have in data analysis, business analysis, or reporting roles?
- Which of the following tools or platforms have you worked with professionally?
- Did you submit your video using the same email you are entering in this application form?
- I’d like to stay in touch! Please send me job opportunities, updates, and relevant news from Scale Army Careers. I can unsubscribe anytime.
- Are you comfortable with us using your video for marketing purposes (ex: social, web, email, etc.) to help more hiring managers see your application?
Written answers (5)
- Were you referred by a current Scale Army contractor? If yes, please add their full name. optional
- Tell us about a time you were given a broad or open-ended business question and had to structure the analysis independently. How did you approach the investigation, and what findings did you deliver?
- Describe your experience owning recurring reports and dashboards. What responsibilities did you handle related to reporting accuracy, updates, formatting, and dashboard maintenance?
- Tell us about your experience using SQL to query and explore existing datasets. What types of business questions or analyses have you used SQL to investigate?
- How do you use AI in your work?