BI Reporting Analyst (MUST - Python & R and SQL)
Department: Data Analytics
Location: Mountain View, CA (Hybrid)
Role Type: Contract
About Our Client
Our client is a leading financial software company with a rich history spanning over three decades. They specialize in developing cutting-edge accounting, tax preparation, and financial management solutions for individuals, small businesses, and accounting professionals. With a global presence and offices across multiple countries, they serve millions of customers worldwide. The company is committed to powering prosperity around the world and values innovation, integrity, and customer obsession.
Job Description
We are seeking a skilled BI Reporting Analyst to join our client's data analytics team. In this role, you will be at the forefront of transforming raw data into actionable insights that drive business decisions. You will work closely with various departments to understand their analytical needs and deliver comprehensive reports and dashboards that provide valuable business intelligence.
As a BI Reporting Analyst, you will be responsible for performing advanced business analysis using a variety of techniques, including statistical analysis, explanatory and predictive modeling, and data mining. Your insights will help determine best practices and develop actionable recommendations for current business operations.
You will collaborate directly with internal and external clients to identify analytical requirements and may assist in producing ad hoc data and reports as needed. There may also be opportunities to contribute to the development or implementation of systems that capture crucial business operation information.
Duties and Responsibilities
- Conduct in-depth business analysis using statistical techniques, predictive modeling, and data mining
- Develop and maintain dashboards to visualize key business metrics and trends
- Collaborate with stakeholders to identify analytical requirements and translate them into actionable insights
- Perform causal inference analysis to understand relationships between variables and business outcomes
- Generate ad hoc reports and data extracts to support decision-making processes
- Assist in the implementation and development of data capture systems for business operations
- Provide recommendations for process improvements based on data-driven insights
- Stay updated on industry trends and best practices in business intelligence and data analytics
Required Experience/Skills
- Proficiency in SQL for complex data querying and manipulation
- Strong programming skills in Python or R for data analysis and statistical modeling
- Experience with dashboard creation and data visualization tools
- Solid understanding of causal inference techniques and their applications in business contexts
- Proven experience in performing statistical analysis and predictive modeling
- Excellent problem-solving skills and attention to detail
- Strong communication skills with the ability to present complex data in an understandable format
- Experience working with large datasets and data warehousing concepts
Nice-to-Haves
- Experience in the financial technology industry
- Familiarity with cloud-based data platforms (e.g., AWS, Google Cloud, Azure)
- Knowledge of machine learning algorithms and their business applications
- Experience with version control systems (e.g., Git)
- Familiarity with Agile methodologies
Education
- Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related field
- Advanced degree (Master's or Ph.D.) in a quantitative field is a plus
Pay & Benefits Summary
- Competitive pay rate of $75-$77 per hour
- Opportunity to work with a leading financial software company
- Exposure to cutting-edge technologies and data analytics practices
- Potential for future full-time employment opportunities
Call-to-Action
Ready to turn data into decisions? Apply now and join a team that's shaping the future of financial technology!
BI Analyst | Data Analytics | SQL | Python | R | Dashboard | Causal Inference | Statistical Analysis | Financial Technology | Business Intelligence