Business Analyst/Developer

Business Analyst/Developer

Location:

About the Role

Business Analyst/Developer

directly reports to the VP of Sales

Key Responsibilities

• Execute daily, weekly, and monthly processes while ensuring accurate data analysis and reporting.
• Support client-related functions, including onboarding, rate management, contract fulfillment, and client services.
• Partner with internal teams to implement automation, process improvements, and AI-driven initiatives.
• Build strong cross-functional relationships to achieve company goals.

• Data & Development Responsibilities:

• Design, develop, and maintain end-to-end custom analytics solutions using internal systems, APIs, and public records.
• Collaborate with stakeholders to define requirements, ensure data quality, and deliver actionable insights.
• Perform exploratory data analysis and ad hoc investigations for business and operational decision-making.
• Develop and optimize complex T-SQL queries, stored procedures, and user-defined functions.
• Build and maintain ETL pipelines with SQL and Python for efficient data processing.
• Leverage Python libraries (pandas, pyodbc, SQLAlchemy, requests/httpx, zeep, paramiko, scikit-learn, matplotlib) for data analysis, automation, and integrations.
• Develop, deploy, and monitor machine learning models for forecasting, classification, clustering, and recommendations.
• Apply AI techniques (NLP, generative AI, intelligent automation) to enhance business processes.
• Design advanced Power BI and Excel dashboards with DAX-driven KPIs and data models.
• Integrate with RESTful APIs using JSON and XML.
• Use orchestration tools (Airflow, Prefect, or similar) for scheduling and monitoring automated workflows.
• Troubleshoot and optimize data pipelines, queries, and reporting tools.

Qualifications

• Bachelors degree in Computer Science, Engineering, or related field (or equivalent experience).

• 10+ years of proven expertise

  in:
• Python and its frameworks (Pandas, Pyodbc, SQLAlchemy, requests/httpx, Zeep, Paramiko, Scikit-learn, Matplotlib).
• SQL, T-SQL optimization, and ETL pipeline development.
• Power BI, Tableau, and advanced Excel dashboards.
• Machine learning models for risk assessment, forecasting, and optimization.
• Strong background in developing impactful reporting dashboards for executive decision-making.
• Experience integrating with APIs and managing data workflows.
• Excellent communication skills (verbal and written) for both technical and non-technical audiences.
• Collaborative mindset with proven ability to partner across teams and stakeholders.
• Ability to work independently, exercise sound judgment, and thrive under pressure.
• Strong analytical, problem-solving, and attention-to-detail skills.