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Oil & Gas Industry Applications Engineer

Citrix Systems

Pennsylvania

On-site

USD 80,000 - 110,000

Full time

6 days ago
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Job summary

Join a forward-thinking company that empowers engineers with cutting-edge visual data science technology. As a data analyst in the Oil & Gas sector, you will leverage your expertise to uncover hidden insights and drive innovation. Collaborate with diverse teams to create analytical applications and present impactful solutions at industry events. This role offers a unique opportunity to enhance your skills while making a significant impact on business outcomes. If you're passionate about data and eager to solve complex challenges, this position is tailored for you.

Qualifications

  • 5+ years of experience in analytics within the Oil & Gas industry.
  • Strong skills in data management and statistical modeling.
  • Experience with industry-specific tools and applications.

Responsibilities

  • Identify industry problems solvable by visual data science.
  • Build analytical applications to streamline workflows.
  • Present solutions and their business value at industry events.

Skills

Data Management
Data Analysis
Storytelling
Statistical Modeling
Industry Knowledge

Education

BS in Engineering or Science
MS in Engineering or Science

Tools

Python
R
SAS
JMP
Minitab
Dataiku
DataRobot
Spotfire

Job description

Are you a data analyst with Oil & Gas industry expertise, passionate about uncovering hidden insights in energy data and helping others do the same? If so, you and Spotfire might be the perfect fit!

At Spotfire, our visual data science platform empowers engineers with agile, interactive data exploration and advanced analytics, unlocking their expertise and creativity. As an industry leader in AI-driven and human-led decision-making, Spotfire is trusted by top Energy, Manufacturing, and Pharmaceutical companies worldwide. Our platform enables users to seamlessly explore heterogeneous data, detect outliers, identify patterns, and uncover trends. From pinpointing the root causes of failures to discovering new opportunities and predicting complex system behaviors, Spotfire transforms raw data into actionable insights.

As a global company serving the world's most successful businesses, Spotfire provides a collaborative environment where you'll work closely with customers and internal teams—including Field Engineering, Data Science, Marketing, and Product Management—to drive continued innovation and leadership in the Oil & Gas analytics space.

We are expanding our Vertical Markets team and seeking passionate professionals to help prospects and customers unlock value through Spotfire's visual data science technology. As a key contributor, your responsibilities will include:

  1. Identifying industry problems uniquely solvable by visual data science
  2. Documenting the data, visualizations, and analytics needed to address these challenges
  3. Building analytical applications to streamline problem-solving workflows
  4. Creating demo materials and documenting best practices for delivery
  5. Enabling our field teams to use these materials to generate interest among prospects
  6. Presenting solutions and their business value at industry events
  7. Developing collateral to communicate business value and our unique capabilities

A strong candidate will have:

  1. An engineering or science BS or higher degree related to our target industries
  2. At least 5 years of experience as an analytics practitioner (engineer, scientist, researcher) in the Oil & Gas industry
  3. Demonstrable skills in data management, analysis, and storytelling
  4. Experience with statistical modeling using Python/R or proprietary tools like SAS, JMP, Minitab, Dataiku, DataRobot, etc.
  5. Knowledge of industry-specific tools and applications
  6. Fluency in industry data challenges and the business value of solving them

Ideally, candidates will also have:

  1. Experience using Spotfire to solve data challenges
  2. Knowledge of product positioning and value propositions

Join us to hone your skills, foster creativity, and help others analyze data and solve problems. Be part of a motivated team building leading analytics technology!

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