Data Operations Analyst, Wisedocs

• The ideal candidate brings proven expertise with Snowflake and Power BI, strong analytical problem-solving skills, and a passion for building scalable, reliable data foundations
• Beyond technical skills, we’re looking for someone who thrives in a fast-moving start-up environment, passionate about AI, embraces collaboration, and is excited to shape the way data drives our future
• Bachelor's degree in Computer science, Engineering, Data Science, or equivalent practical experience
• 3+ years hands-on experience with:
• Advanced SQL and Snowflake (data modeling, performance tuning, optimization)
• Power BI development (DirectQuery, authentication, enterprise-level models)
• ETL/ELT pipeline design and monitoring (Azure Data Factory, Airflow, or similar)
• Strong Excel skills (advanced formulas, pivots, Power Query) for large dataset handling
• Analytical and problem-solving skills with ability to connect insights to business outcomes
• Excellent communication skills; comfortable collaborating across technical and business teams

Desirable

• Join Wisedocs as a Data Operations Analyst where you will have the opportunity to take ownership of how data powers our business. In this role, you’ll design and optimize the pipelines, models, and dashboards that transform raw data into insights—driving decision-making across teams and at the leadership level
• This is a high-impact, high-visibility role at the heart of our growth. You’ll work cross-functionally, ensuring that data not only flows seamlessly but also fuels innovation and strategy
• Snowflake Architecture & Optimization
• Manage configurations, schema design, and query tuning
• Optimize cost and performance across warehouses and workloads
• Power BI Development & Reporting
• Build and maintain dashboards and reports
• Ensure secure, efficient Snowflake connections (SSO, DirectQuery)
• Pipeline Management
• Streamline dataflows from multiple sources
• Monitor and troubleshoot ETL/ELT pipelines
• Collaborate with engineers on scalable, reliable data flows
• Data Quality & Governance
• Implement validation, auditing, and lineage tracking
• Enforce governance to ensure accuracy and consistency
• Cross-Functional Collaboration
• Translate requirements into technical solutions
• Provide documentation, training, and end-user support
• Continuous Improvement
• Stay current with DataOps, Snowflake, and BI best practices
• Identify opportunities to automate and enhance reporting

• We're excited to meet you and explore the possibilities together! At Wisedocs, honesty is one of our core values. Our Recruitment process is transparent to ensure you are set up for success:
• Round 1 – People & Culture Chat: 20–30 min conversation about your background, goals, and the role
• Round 2 – VP of Customer Operations: Deep dive into your experience and problem-solving approach
• Round 3 – Skills & Assessment Review: Discussion with our Strategic Finance Manager on your take-home assignment
• Round 4 – Leadership Conversation: Meet our COO and Head of Machine Learning to learn about their vision and your impact