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Careers at WalkingTree Technologies
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Business Analyst

Full Time
full time
25 Apr 2025
Verified by Turrior

Content + Source + Freshness • 16 Dec 2025 • 95% confidence

90 / 100

Offer value

Exceptional fit for experienced analysts with specialized industry knowledge, focusing on significant business impact in the Oil & Gas sector.

  • Significant influence in optimizing Oil & Gas operations
  • Engagement with critical data-driven decision-making
  • Opportunities for prestige within the sector
  • Requires extensive knowledge and industry experience
Pros
  • Direct involvement in critical industry practices, enhancing career prestige
  • Opportunity to influence decision-making through data analysis
  • Collaboration with leading companies in Oil & Gas software
Cons
  • Requires extensive domain knowledge which may limit applicant pool
  • Potential for high stress due to industry pressures
  • Possibility of extended projects leading to challenging workloads

Who it's for

Senior • Full-time, onsite or remote options

Good fit
  • Experienced analysts in the Oil & Gas sector
  • Candidates passionate about data analytics and industry impact
  • Professionals comfortable with technical industry demands
Not recommended for
  • Newer analysts lacking relevant experience
  • Candidates unfamiliar with BI tools and SaaS products
  • Individuals seeking less intense work environments

Motivation fit

Aims to leverage analytical skills in a high-stakes environmentInterest in the complexities of Oil & Gas operationsDesire to influence company strategy through data-driven insights

Key skills

Data analysis and visualizationUnderstanding of Oil & Gas operationsCollaboration with diverse stakeholdersRequirements documentation and user story formulation
Score: 90/100 AI verified analysis

About the job

Job Summary: We are seeking an experienced Business Analyst (BA) with a strong understanding of the Oil & Gas industry, specifically Frac operations. The ideal candidate should have expertise in data analysis, mathematical modeling, and chart/graph plotting relevant to hydraulic fracturing. This role requires close collaboration with stakeholders, product managers, and development teams to ensure data-driven decision-making and optimized product functionality. Key Responsibilities:
  • Industry & Domain Expertise:
    • Act as a subject matter expert (SME) for Oil & Gas, with a focus on Frac operations, drilling, and production analytics.
    • Translate business needs into functional requirements/user stories for SaaS applications used by the Oil & Gas industry.
  • Charting & Visualization:
    • Define and validate data-driven visualizations, including time-series graphs, pressure vs. depth charts, and fracture propagation models.
    • Work with development teams to implement accurate and user-friendly charting components.
  • Stakeholder Collaboration & Requirements Gathering:
    • Engage with product, engineering and operations teams to gather precise business and technical requirements.
    • Convert domain-specific knowledge into clear documentation for the development team.
  • Process Optimization & Workflow Enhancement:
    • Identify gaps in existing workflows and recommend enhancements to improve efficiency.
    • Ensure seamless integration of analytical models with platform functionalities.
Required Qualifications & Skills:
  • Industry Knowledge:
    • Minimum 7 years of experience in Business Analysis, preferably within Oil & Gas software solutions.
    • Strong understanding of Frac operations, drilling, completions, and reservoir engineering principles.
  • Software & Tools:
    • Experience working with SaaS-based Oil & Gas platforms.
    • Hands-on experience with BI tools (Power BI, Tableau, or similar).
  • Soft Skills:
    • Excellent problem-solving and analytical skills.
    • Strong communication and stakeholder management abilities.
    • Ability to work in an Agile environment and collaborate with cross-functional teams.
Preferred Qualifications:
  • Prior experience working with Oil & Gas SaaS providers.
  • Knowledge of machine learning techniques for predictive analytics in Oil & Gas is a plus.
  • Understanding of industry standards such as WITSML, PPDM, and RESQML is advantageous.

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