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- Lead the development of the Analytics engineering function and lead a team of engineers.
- Lead and influence the Data Analytics direction with key leaders, and align team structure to meet strategic goals.
- Lead data literacy initiatives.
- Collaborate with a diverse set of users and partners to translate unstructured, complex business problems into appropriate data, modeling and analytical solutions that drive business value.
- Work with both Business and IT leaders to help craft the overall strategy and roadmap for Data Analytics.
- Partner to collect and develop use cases for real-time operational reporting, statistical analysis, and application of machine learning, working with our data science team, to support Operations, Commercial, Engineering, and all other enterprise support groups.
- Contribute to many different projects in a dynamic, fast-moving environment.
- Deliver solutions to users in an extremely rapid, agile cycle.
- Responsible for identifying innovative data and analytics solutions to support key business priorities by partnering closely with business stakeholders and teams.
- Establish, enhance, and manage scalable data analytics for midstream data including technical analysis, operational metrics, statistical process control, univariate and multivariate analyses, and process analytics.
- Develop a strategy to mature data analytics architecture, enterprise reporting, and data analytics skills in the organization.
- Champion the use of data, technology & newer tools to optimize solutions and continuous process improvements.
- Bachelors' degree in finance, economics engineering, science, mathematics, or master's in data science or equivalent is highly preferred with 8+ yrs of experience implementing and maintaining technology to support process analytics or equivalent.
- Demonstrated thought leadership at industry level.
- A proven experience and understanding of architecting, designing, and operationalization of large-scale data and analytics solutions in AWS.
- Experience implementing and supporting analytics using Spotfire, Qlik or similar platforms.
- 6+ years of experience writing SQL queries and understanding complex data models.
- Understanding of industry technology trends in process analytics, database technologies, machine learning, data integrity and statistical analysis.
- Familiarity with AWS technologies like EC2, S3, Redshift etc.
- Experience mapping complex processes, understanding data flows, and writing detailed functional requirements to support the development of trends/metrics.
- Ability to effectively communicate with all levels within the organization and lead teams to reach a common goal
- Ownership and drive with digital mindsets.
- Excellent interpersonal and communication skills, with ability to work collaboratively within a team of cross-functional stakeholders to influence decisions at every level of the organization.
- Self-directed with effective analytical and problem-solving skills. Must be able to drive results on multiple complex assignments simultaneously in a fast-paced environment.