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Available Locations: Austin
Role Summary
We are seeking a highly analytical and detail-oriented Business Operations Data Analyst to join our team. The ideal candidate will be responsible for supporting FY planning, territory segmentation, and quota setting within our Renewals and BDR organizations as well as collecting, processing, and performing analyses on large datasets to support strategic decision-making. Will also be engaged in forecasting, bookings, historical trending, and modeling. You will work to identify trends, provide insights, and help drive data-informed decisions. Will need to automate and streamline processes and data sets, create single sources of truth, and work cross-organizationally.
Role Responsibilities
Collect, clean, and validate data from various sources to ensure accuracy and completeness
Role Requirements
Preferred:
Role Summary
We are seeking a highly analytical and detail-oriented Business Operations Data Analyst to join our team. The ideal candidate will be responsible for supporting FY planning, territory segmentation, and quota setting within our Renewals and BDR organizations as well as collecting, processing, and performing analyses on large datasets to support strategic decision-making. Will also be engaged in forecasting, bookings, historical trending, and modeling. You will work to identify trends, provide insights, and help drive data-informed decisions. Will need to automate and streamline processes and data sets, create single sources of truth, and work cross-organizationally.
Role Responsibilities
Collect, clean, and validate data from various sources to ensure accuracy and completeness
- Develop and maintain dashboards, reports, and visualizations using tools such as Excel, G-Sheets, Power BI, Tableau, Python, SQL, Designer and more
- Analyze data to identify trends, patterns, and outliers, and present actionable insights to stakeholders. Prepare executive level decks and representations of analysis for QBRs, planning, and ad hoc needs
- Work with stakeholders to define key performance indicators (KPIs) and track performance over time
- Create and maintain documentation for data processes and data dictionaries
- Collaborate with IT, RevOps, Marketing, CS, and Sales to improve data quality and data infrastructure
- Support ad-hoc data requests and provide timely reporting as needed
Role Requirements
- Bachelor's degree in Statistics, Mathematics, Computer Science, Business, or a related field
- 6+ years of experience in a data analysis or related role
- Proficiency in Big Query, SQL, Designer, SFDC, and Tableau and at least two data analysis tools (e.g., Excel, Python, R)
- Experience with data visualization tools (e.g., Tableau, Power BI, Looker)
- Strong analytical and problem-solving skills
- Communication skills, both written and verbal
Preferred:
- Knowledge and expertise in Renewals and Inside Sales business mechanics, metrics, and processes
- Knowledge of A/B testing, predictive modeling, or machine learning basics
- Familiarity with CRM or ERP systems (e.g., Salesforce, SAP)
Cloudflare Austin, Texas, USA Office
405 Comal St, Austin, TX, United States, 78702
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
