Company Overview
Founded in 2012, Razorhorse Capital is a buy-side advisory firm in Austin with remote workers across the world. Razorhorse sources and executes B2B SaaS investments & acquisitions for 20+ Partners in North America, the UK, Europe, and Australia. We are led by senior dealmakers with deep track records in software buyout and growth equity transactions. Our Partners deploy $3B+ capital annually, and our experience closing 100+ deals across a variety of markets, structures, and strategies demonstrates our flexibility and prowess structures.
About the role
Razorhorse is seeking a Data Analyst/Engineer to play a pivotal role in enhancing our data-driven decision-making processes. In this key position, you will develop and maintain advanced ELT processes, design impactful data models and dashboards, and leverage machine learning to drive strategic insights. Your expertise will ensure the integrity and enhancement of our data infrastructure, supporting cross-functional teams in a dynamic, innovative environment. This role is ideal for those passionate about using their technical skills to influence real-world business outcomes.
Key Responsibilities
- Data Infrastructure: Enhance decision-making capabilities by optimizing data infrastructure.
- ELT Processes: Develop and maintain advanced ELT processes within Google BigQuery and our ELT tools.
- Data Modeling: Construct and manage efficient data models for streamlined analysis and reporting.
- Dashboard Development: Design and implement visually compelling dashboards using Google Looker Studio and Looker platform.
- Cross-functional Collaboration: Work alongside various teams to define KPIs and craft analytical frameworks.
- API Integration: Integrate and manage data APIs for seamless connectivity with third-party systems to cover our data gaps and completeness
- Data Validation: Ensure the accuracy and reliability of data through rigorous validation processes.
- CRM Data Management: Execute data cleanup and management tasks within our CRM systems.
- Machine Learning: Utilize and enhance ML models, leveraging Google ML and BigQuery ML for sophisticated analytics.
Qualifications and Skills
- Educational Background – Bachelor’s or Master’s degree in Computer Science, Statistics, or a related field.
- Professional Experience – Demonstrable experience as a Data Analyst/Engineer, preferably in a fast-paced, data-intensive environment.
- Technical Proficiency
- Expertise in SQL, data modeling, and database design.
- Proficient with Google Cloud Platforms, including BigQuery, Data Studio, and Looker.
- Skilled in developing data API integrations.
- Knowledgeable in programming languages such as Python/R or Java.
- Familiarity with machine learning concepts and practical experience with ML models.
- Core Competencies
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork capabilities.
Application Process
Location: Global, Remote
Start: Immediate
Position Type: Full-time
Compensation: between base and bonus, OTE is USD 40-50K+
Please apply with your resume and cover letter
Join Razorhorse Capital and play a key role in shaping the future of investment strategies through expert data analysis and engineering.
Teamwork CRM data management Data Analyst Analytical skills Problem-solving Python R ELT validation Communication database-design Looker Google Cloud Platform (GCP) data-modeling SQL Java Machine Learning google-data-studio Engineering google-bigquery API Integrations