Python Developer with Data Analytics

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, Power

BI, 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