2 дня назад
Data Analyst I (Cybersecurity)
63 400 - 95 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst I (Cybersecurity): Analyzing, validating, and improving enterprise customer and hardware asset data within F5's Data and Insights organization with an accent on data quality, governance, and cross-system analysis. Focus on investigating root causes, automating Tableau and spreadsheet scorecards, validating Salesforce and Marketo data, and supporting data migration and cleanup efforts.
Location: Seattle, WA; must remain based in or relocate to Seattle. Onsite work is required; fully remote work is not available. The role also includes a hybrid environment with periodic in-office collaboration.
Annual base pay: $63,400–$95,000.
Company
develops cybersecurity and application delivery solutions that help organizations create, secure, and run applications.
What you will do
- Investigate complex customer data quality issues and perform ad hoc analysis across enterprise data systems.
- Profile and analyze third-party enrichment sources to improve customer data quality.
- Analyze and validate Salesforce customer records and Marketo-related data using spreadsheets, reporting tools, and basic scripting.
- Manage Hardware Asset to Site/Party relationships, identify anomalies, and lead data cleanup efforts.
- Build and improve data quality dashboards, scorecards, and metric summaries using Tableau and spreadsheets.
- Lead meetings, document findings, collaborate with EDM stakeholders, follow data governance and privacy practices, and mentor interns or junior team members.
Requirements
- Successfully completed 's Summer 2026 Data Analyst internship.
- Bachelor's degree or higher in Computer Science or a related technical field, with graduation between December 2026 and September 2027.
- Must be able to work onsite in Seattle and remain based in or relocate to Seattle.
- Valid work authorization in the United States is required.
- Knowledge of descriptive statistics, data quality, databases, schemas, data lineage, and root-cause analysis.
- Required proficiency with Excel or Google Sheets; familiarity with SQL, Python, or R is preferred but not required.
Nice to have
- Experience with Tableau.
- Familiarity with enterprise data domains, governance, master data, and reference data.
- Experience with systems and business processes gained during the internship.
Culture & Benefits
- Transition from internship to a permanent role with continuity in projects and team relationships.
- Training, mentorship, professional development, and continuous learning opportunities.
- Health, wellness, retirement, and work-life balance benefits.
- Inclusive, collaborative environment with analysts, engineers, and business leaders.
- Career growth opportunities, employee resource groups, and community programs.
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