Python Developer and Data Analytics

About the job

Key Responsibilities ● Collaborate with Product Management and Professional Services teams to gather requirements, provide accurate estimates, and deliver on committed timelines ● Design, develop, and maintain interactive dashboards and reports that provide actionable insights ● Create custom reports tailored to individual customer needs while identifying opportunities to generalize solutions for broader customer benefit ● Analyze customer requirements holistically to determine if needs can be met through existing reports, enhancements to current offerings, or new development ● Master our data models and data warehouse architecture to ensure efficient and accurate data retrieval ● Develop and maintain RESTful APIs to extract and serve data from our data warehouse ● Write clean, efficient, and maintainable code using Python and SQL to power reporting and analytics solutions ● Ensure data accuracy, consistency, and optimal query performance across all deliverables Required Qualifications ● Minimum 4 years of professional experience in Python development and data analytics ● Strong proficiency in Python programming, including data manipulation libraries (pandas, NumPy) ● Advanced SQL skills with experience in complex queries, optimization, and data warehouse environments ● Proven experience developing data visualizations and dashboards (e.g., Tableau, PowerBI, or similar tools) ● Experience designing and developing RESTful APIs ● Solid understanding of data modeling concepts and relational database design ● Demonstrated ability to translate business requirements into technical solutions ● Strong analytical and problem-solving skills with attention to detail ● Excellent communication skills and ability to work collaboratively across teams ● Experience providing project estimates and managing timelines Preferred Qualifications ● Experience with modern data warehouse solutions (Snowflake, Clickhouse, etc.) ● Knowledge of version control systems (Git) ● Experience with data visualization libraries ● Understanding of data governance and security best practices ● Background in a SaaS or customer-facing technical environment

Requirements

• Python
• SQL
• Data Analytics
• Data Visualization
• RESTful APIs
• Data Modeling

Preferred Technologies

• Python
• SQL
• Data Analytics
• Data Visualization
• RESTful APIs
• Data Modeling