Data Analyst

03 Oct 2016
20 Oct 2016
Oil and Gas
Contract Type
Full Time
The Data Analyst will be responsible for examining large sets of data to provide outcomes to problems within the Power business. Potential areas are automation opportunities, cost out, operational stability, event management & trending of issues to provide a better user experience.

Essential Responsibilities

• Examine data to create automation & cost out opportunities
• Examine operational data to determine how to improve operational availability & user experience
• Develop analytics for other projects to address specific problems within the Power business
• Work with project teams in the business on opportunities, data quality, data cleansing, and data analytics.
• Understand the landscape of data that will be ingested to develop the reports and analytics required; This will include but not limited to operational, planning, and costing data.
• Assist in ingesting required data into a host platform or reporting tool
• Develop reports within Tableau, Predix, or other Power toolsets
• Develop analytics code and data transformation scripts to reveal hidden insights, trends, and opportunities across seemingly unrelated datasets
• Develop data and analytics platform strategies for moving projects to enterprise-class solutions that can scale to extremely large volumes of data
• Demonstrate visualizations directly with business partners for feedback and quick iterations using a mix of tools such as Tableau and Predix
• Architect, Design and develop new systems and tools to enable users to consume and understand data faster
• Partner with the GE Digital team on projects across all GE businesses reviewing operational data


• Bachelor's Degree in Computer Science/Engineering, IT, or Data Analytics
• Significant experience of leading and implementing large IT projects
• Significant experience with various technology and application integration projects
• Proficiency in SQL, as well as one or more scripting languages (e.g., Java, Python, Scala, Shell scripting)
• Experience with ETL/ELT tools and design
• Experience with data visualization technologies, primarily Tableau & Predix
• Working knowledge of Hadoop and Greenplum data lake ecosystems
• Excellent written and verbal communication skills
• Ability to construct user stories and perform feature extraction from complex or vague requirements

Desired Characteristics

• Hands-on experience in a development or scripting language such as JAVA, Python, shell scripting,
• Exposure to analytics packages
• Exposure to big data platforms, ETL, and visualization tools.
• Experience in developing analytics
• Experience with data architecture principles and practices
• Has participated in Agile project delivery frameworks
• Proven analytical and problem resolution skills
• Strong leadership, Project management and Strategic thinking skills
• Solid facilitation and presentation skills to lead design sessions with business and technical audiences to come up with solutions.
• Demonstrated ability to lead and drive change in a complex matrix environment.