Data Analyst III

Job Description: Data Analyst III Location: Spring, TX Type: W2 Contract Only (No C2C available) Work Setup: On-site Industry: Oil & Gas/Upstream Oil & Gas operations Benefits: Dental, Healthcare, Vision & 401(k) Job Summary We are seeking a highly skilled and proactive Data Analyst to join our team supporting Upstream Oil & Gas operations. The ideal candidate will be responsible for importing, cleansing, validating, and analyzing complex datasets to drive business insights and improve data quality. This role requires advanced SQL proficiency, expertise in data visualization tools (Power BI or Spotfire), and experience with Upstream Drilling & Completions datasets. Candidates with Python, Databricks, and data engineering experience are highly desirable. Key Responsibilities • Import, cleanse, validate, and analyze data to support business decision-making. • Query and manipulate large datasets using advanced SQL. • Present data findings in charts, graphs, or tables using visualization tools such as Power BI or Spotfire. • Consolidate and report data insights to stakeholders, ensuring clarity and accuracy. • Continuously improve data quality and integrity across all datasets. • Collaborate with cross-functional teams to understand data requirements and deliver actionable insights. • Generate reports and dashboards to support operational and strategic objectives. • Minimal supervision required; expected to operate as an expert in the field. Basic / Required Qualifications • Strong analytical, verbal, and written communication skills. • Proven experience in report generation and data analysis. • Advanced proficiency in SQL. • Proficient in MS Office Suite. • Proficiency in either Power BI or Spotfire (bonus if experienced in both). • Experience working with Upstream Oil & Gas datasets, specifically Drilling & Completions. Preferred Qualifications • Experience with Databricks and/or Python. • Background in data engineering. • Professional certification in data analytics or related field. • Experience consolidating and presenting data to technical and non-technical audiences. • Strong attention to detail and commitment to data quality.