Pre-screened and vetted.
Mid-level Data Engineer specializing in cloud data platforms and ETL automation
“Data engineer who has owned high-volume production pipelines end-to-end (200–300 GB/day) on AWS, implementing strong data quality/observability and achieving 99.9% reliability while cutting data issues ~33%. Also built a large-scale external data collection system ingesting millions of records/day with anti-bot/rate-limit handling and backfill tooling, and shipped a versioned REST service exposing curated Snowflake data to downstream teams.”
Junior Data Analyst specializing in healthcare analytics
“Analytics/data professional with hands-on experience turning messy semi-structured CRM JSON data in Snowflake into clean reporting layers using SQL and validation logic. Brings a practical mix of data engineering, Python automation, metric design, and stakeholder alignment to improve reporting accuracy and speed of decision-making.”
Intern-level business analytics and marketing professional specializing in data-driven insights
“Current data analyst intern at Across and MBA student who combines SQL, Python, and visualization skills across both workplace and academic analytics projects. Has hands-on experience cleaning messy customer service and time-tracking data for payroll-related analysis, plus building sentiment and trend-based analyses in Python and dashboards for stakeholder communication.”
Mid-level Business Analyst specializing in healthcare and data analytics
“Analytics-focused candidate with hands-on experience building SQL and Python pipelines for messy, high-volume data across e-commerce, marketing, healthcare, and regional resource allocation use cases. Particularly strong in turning ambiguous business problems into operational metrics and trusted Power BI reporting, including CLV, patient retention, and vulnerability-based segmentation.”
Mid-level Data Analyst specializing in ETL pipelines and business intelligence
“Analytics-focused candidate with hands-on experience building compliance and contract utilization reporting from messy contract, vendor, subcontractor, and payment data. They combine SQL and Python automation to improve reporting speed and accuracy, and show strong stakeholder discipline through validation sessions, documentation, and dashboard adoption.”
Mid-level Data & Analytics Analyst specializing in SQL, Snowflake, and AWS automation
Intern Data Analyst and Software Engineer specializing in AI/ML and data platforms
Junior Data Engineer specializing in IoT analytics and AWS data pipelines
Intern Chemical Engineer and Data Engineering Intern with process safety and AWS/Python experience
Junior Finance & Analytics professional specializing in research and reporting
Entry-Level Marketing Analyst specializing in consumer insights and digital analytics
Mid-level Systems Business Analyst specializing in AI automation and financial data pipelines
Mid-level Data Collection Moderator and Indie Game Developer specializing in software and data
Mid-level Data Analyst specializing in business intelligence and analytics
Intern Data Scientist specializing in AI, analytics, and public sector applications
Mid-level Data Scientist specializing in ML, predictive analytics, and automation
Mid-level Data Engineer specializing in cloud ETL and big data pipelines
Mid-level Data Scientist/AI Engineer specializing in cloud LLMs, NLP, and scalable data pipelines
Senior Data Engineer specializing in Azure/AWS lakehouse and real-time analytics
Mid-level Data Engineer specializing in Microsoft Fabric and Azure Lakehouse platforms