Data Intelligence Engineer
Round Rock, TX

About $91,000 - $130,000 a year

Round Rock,TX

Dell provides the technology that transforms the way we all work and live. But we are more than a technology company — we are a people company. We inspire, challenge and respect every one of our over 100,000 employees. We also provide them with unparalleled growth and development opportunities. We can’t wait for you to discover this for yourself as a Data Intelligence Engineer in our Dell Digital IT Analytics and Data Science organization team in Round Rock, TX.

The Dell Digital IT Analytics and Data Science organization is responsible for insights and recommendations to optimize the user experiences. This includes analysis focused on application speed, stability, and user experience. Such work includes data ingestion, data munging, and statistical analysis. Effective outputs require simple user-friendly synthesis of information, including well-articulated insights.

The team needs individuals with strong business and analytic knowledge to deliver high value insight and recommendations. We are looking for a candidate who has a strong background in analytics, with proven abilities to be innovative and creative, as well as strong collaborator and communicator enabling influence.

Provides actionable recommendations on how to optimize the user experience, by considering speed, stability, and key user features
Delivers on analytics roadmap, while always identifying new opportunities and prioritization recommendations
Work with data engineers, data scientist, architects and business to design actionable strategic projects and break complex problems into smaller actionable tasks.
Leverage analytical insights to drive support product development, operational optimization to improve key business/IT metrics.
Lead cross-functional engagements to define problem statements, collect data, build analytical models and make recommendations.
Establish relationship with key business partners or Point of Contacts to accelerate issues fix.
Contribute to improve business Processes and reduce overall issues.

5+ years of related experience with a bachelor’s degree; or 3+ years with a master’s degree in Engineering, Computer Science, or Business Degree; or equivalent experience.
Experience in most big data and statistical analytic tools: Python, Hadoop (Hive), SQL, Splunk.
Experience in Salesforce Lightning CRM or Financial Force or ClickSoftware or OpenText application Analytics, development or Support.
Experience in machine learning algorithms/concepts.
Hands-on analytics capabilities, expertise in analytical problem-solving techniques and frameworks and the ability to deal with large volumes of data.
Strong teamwork, project management skills, business acumen skills.
Strong communication skills, including the ability to convey analytic insights effectively to both IT and business audiences.

MBA or Engineering Degree from top schools
Management Consulting background
Experience in one of e-commerce analytics tools: SiteCatalyst, Discover, Insights, Google Analytics
Understanding of support and deployment processes and or broader Tech Support ecosystem is a plus
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