Junior Data Analyst

Red Thread Advising; United States; On-site; USD 85,000 - 115,000; Full time

Job summary

Red Thread Advising is seeking a Data Analyst, Security (Partner & Field), to centralize partner and field data into a single trusted view. You will design data solutions with the data lead, automate reporting, and build dashboards that inform strategy and field readiness.

You'll support pre-sales and post-sales teams with data insights, track engagement metrics, and translate business needs into scalable analytics using Power BI and Power Platform.

Qualifications

• 3–5 years in a data analyst or BI role with security/partner focus preferred.
• Experience supporting partner, sales, or field teams with data and reporting.
• Ability to automate manual data processes and build scalable dashboards.

Responsibilities

• Support partner and field data needs by designing and maintaining data solutions.
• Build dashboards and reports for partner and field stakeholders.
• Automate data pulls/pushes and ensure a single trusted data view.
• Collaborate with leadership to provide actionable insights for planning.

Skills

Power BI

Power Apps

Power Automate

Dataverse

Data analysis

Stakeholder management

English – business level

Tools

Power BI

Power Apps

Power Automate

Dataverse

Job description

Data Analyst, Security (Partner & Field): Job Description

Role Summary

Support the Security partner and field organizations with accurate, well-structured data that drives decisions. Working with the data lead, you'll build and maintain data solutions, bring partner and field data together into one view, and turn manual processes into scalable, reliable reporting.

1. Partner Data & Systems

• Work with the data lead to design and build solutions within the organization's data platform.
• Partner with key stakeholders, including the Strategy Lead, Program Manager, and vendor data analysts, to set tooling priorities and build what's needed.
• Support partner onboarding through data collection, validation, and system setup.
• Manage data for partner summits and events, keeping CRM and engagement records accurate and current.
• Move manual data pulls and pushes to automated, repeatable processes aligned with the organization's engagement model.

2. Field Enablement & Readiness

• Provide data support to role pods across pre-sales and post-sales teams.
• Track technical skilling and overall readiness, including accuracy of course readiness reports.
• Help leadership understand what the field needs and what's working.

3. Data Rigor & Integration

• Work with leadership to access, route, and analyze data based on business needs and objectives.
• Be the "eyes" on key data, making sure partner and field data connect cleanly into a single, trusted view.
• Capture and reconcile engagement data, such as virtual meeting attendance and participation.
• Overlay datasets to surface insights and support scalable reporting.

4. Reporting & Insights

• Build and maintain dashboards and reports for partner and field stakeholders.
• Deliver clear, accurate insights that guide planning and execution.
• Improve reporting processes continuously for scale and efficiency.

Experience

• 3–5 years in a data analyst, business intelligence, or similar role.
• Proven experience supporting partner, sales, or field organizations with data and reporting.
• Track record of automating manual data processes and building scalable reporting.

Required Skills

• English - Business level is an absolute must
• A data-first mindset with strong attention to accuracy and detail.
• Power BI for reporting and insights.
• Power Platform experience, including Power Apps, Power Automate, and Dataverse.
• Ability to work with multiple stakeholders and turn business needs into data solutions.

Nice to Have

• Familiarity with partner portals, CRM systems, and partner or field operations.
• Experience with Scout and Cowork.
• Exposure to pre-sales and post-sales readiness or skilling programs.
• Background in the security or technology industry.

What Success Looks Like

• Partner and field data is accurate, connected, and trusted.
• Manual processes are automated and repeatable.
• Leadership and role pods get timely insights they can act on.
• Reporting scales smoothly as the program grows.