The client is looking to optimize key enterprise application systems and workflows (e.g. Salesforce, NetSuite, Zuora, RevPro) to improve operational efficiency and provide data-driven insights for strategic decision-making.
Requirements
- Strong familiarity with analyzing data from systems such as Salesforce, NetSuite, Zuora, and RevPro.
- Thorough understanding of core operational metrics, system/workflow performance analysis, and associated analytical methods.
- Adept at using SQL and Python/R for data modeling and statistical analysis (e.g. hypothesis testing, experimentation, regressions).
- Experience working in data analytics, preferably with a focus on operational data and enterprise applications at a technology company (or similar environment).
- Seasoned in transforming complex data into clear, actionable strategies for diverse audiences.
- Ability to effectively serve as a thought leader (and driver) for how data, analytics, and intelligence can be leveraged in solving business problems.
Responsibilities
- Design and maintain comprehensive dashboards to track key performance indicators (KPIs) related to system health, workflow efficiency, and data quality within core operational systems.
- Conduct in-depth analyses to identify key drivers of system performance, workflow bottlenecks, and data anomalies within systems like Salesforce, NetSuite, Zuora, and RevPro.
- Continuously identify opportunities for process improvement and automation in data collection, analysis, and reporting related to operational systems.
- Design and evaluate experiments to test hypotheses and quantify the impact of operational improvements related to these systems.
- Stay current with industry trends and emerging technologies in data analytics and operational systems management to drive innovation within the team.
- Partner with Operations leaders to transform analytical insights into clear narratives and actionable strategies.
- Collaborate with various cross-functional teams (Marketing/Sales, Finance/Accounting, Customer Experience, Engineering) to ensure data integrity and alignment on key operational metrics related to enterprise applications.
Other
- Partner with Operations leaders to transform analytical insights into clear narratives and actionable strategies.
- Collaborate with various cross-functional teams (Marketing/Sales, Finance/Accounting, Customer Experience, Engineering) to ensure data integrity and alignment on key operational metrics related to enterprise applications.
- Mentor team members and foster a culture of data-informed decision-making across the organization, specifically related to operational data.
- The organization embraces a hybrid work model that fosters in-person collaboration while valuing individual needs.
- The starting salary will be determined based on skills and experience.
