Drilling Data Analyst: Insights, Dashboards & Automation

MS Directional, LLC

Conroe (TX)

On-site

USD 52,000 - 76,000

Full time

5 days ago
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Job summary

MS Directional, LLC in Conroe, TX is seeking a Data Analyst to generate insights across operations by overseeing multiple business systems and interfacing with stakeholders from across the company.

The candidate will independently create actionable reports, dashboards, and models to support data-driven decision making, ensure data quality and governance, and communicate findings clearly to diverse teams.

Qualifications

  • Bachelor's degree in Engineering, Computer Science, or related field.
  • Proficiency in Python, SQL, Power BI, Power Automate, Power Apps, and MS Office Suite.
  • 0–3 years' experience as a Data Analyst or similar role.

Responsibilities

  • Oversee MSD business systems, including cleaning and analyzing data, and presenting results to stakeholders.
  • Collect, clean, and analyze large datasets to identify trends and opportunities.
  • Develop dashboards, reports, and visualizations to communicate findings.
  • Design automated data workflows and data models to support decision-making.
  • Collaborate with departments to understand data needs and ensure accuracy and governance.
  • Ensure compliance with data governance, security, and privacy regulations.
  • Perform QA/QC on data structures to ensure system accuracy.

Skills

Analytical thinking
Stakeholder communication
Data visualization
Team player
Strategic thinking

Education

Bachelor's degree in Engineering, Computer Science, or related field
Master's degree (preferred)

Tools

Python
SQL
Power BI
Power Automate
Power Apps
MS Office Suite

Job description

MS Directional, LLC in Conroe, TX is seeking a Data Analyst to generate insights across operations by overseeing multiple business systems and interfacing with stakeholders from across the company.

The candidate will independently create actionable reports, dashboards, and models to support data-driven decision making, ensure data quality and governance, and communicate findings clearly to diverse teams.

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