Job Summary
This role requires expertise in data extraction, manipulation, and analysis from backend systems using advanced SQL querying and scripting. The successful candidate will play a pivotal role in uncovering insights from complex datasets stored in databases and data warehouses, contributing directly to strategic decision-making processes. Reporting directly to the Senior Manager, GTM Analytics, this role requires a seasoned professional with a deep understanding of complex SQL queries and data sets.
Responsibilities
- Develop and optimize SQL queries to efficiently extract, clean, and transform data from backend systems, ensuring compatibility with analytical tools and processes.
- Utilize statistical techniques and data modeling methodologies to analyze large volumes of backend data, identifying trends, correlations, and anomalies to inform business decisions.
- Provide analytical insights into the current state of the business that can be leveraged for growth opportunities.
- Implement performance monitoring and optimization strategies for backend databases and data processing pipelines to enhance efficiency and scalability.
- Identify opportunities to improve go-to-market processes and work with cross-functional groups to support these improvements.
- Maintain high levels of accuracy, integrity, process consistency and documentation in planning, forecasting, and modeling approaches.
- Develop and implement data quality checks and validation processes to ensure the accuracy, consistency, and integrity of backend data sources.
- Document data analysis processes, methodologies, and findings, maintaining a centralized repository of technical documentation to facilitate knowledge sharing and collaboration.
- Design and create interactive dashboards and reports using data visualization tools such as Tableau to effectively communicate insights to stakeholders.
- Ensure that business is always conducted with integrity and that behavior aligns with iCIMS policies, procedures, and core competencies.
Qualifications
- A minimum of 3 years of experience in Data Analytics, Data Warehousing, Data Science, or Data Engineering
- Advanced Experience with Excel, Tableau, SQL, and Python
- Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions and actionable insights.
- Detail-oriented with a commitment to data integrity, quality, and confidentiality.