Data Engineering Specialist

Post Date

Sep 10, 2024

Location

Spring,
Texas

ZIP/Postal Code

77380
US
Dec 09, 2024 Insight Global

Job Type

Contract

Category

Engineering (Non IT)

Req #

HOU-732902

Pay Rate

$61 - $76 (hourly estimate)

Job Description

An O&G Operator in The Woodlands, TX is looking for a highly skilled and motivated Data Engineering Specialist to join their GOM Operations Excellence team. The successful candidate will utilize their expertise in data mining, analysis, and visualization tools (including Spotfire and Power BI) and an ability to understand business drivers and processes to analyze and transform complex data sets (SAP, SQL, LMS) into insightful, interactive dashboards. This role will play a crucial part in enabling data-driven decision-making across the organization by delivering actionable insights and meaningful Key Performance Indicators (KPIs).

Responsibilities include:

*Collaborate with cross-functional teams to understand data requirements, gather insights, and design interactive dashboards that effectively communicate complex information to various stakeholders.

*Utilize advanced skills in Spotfire, Power BI, and SAP to develop visually appealing and user-friendly dashboards that provide real-time insights and facilitate data-driven decision-making.

*Work closely with business stakeholders to define KPIs, metrics, and reporting requirements, ensuring alignment with strategic objectives.

*Extract, clean, transform, and analyze data from various sources to generate accurate and reliable visualizations that uncover trends, patterns, and opportunities.

*Translate technical findings into clear and actionable insights, presenting data-driven recommendations to both technical and non-technical audiences.

*Proactively identify data quality issues, anomalies, and outliers, and take corrective actions to ensure data integrity and accuracy.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Required Skills & Experience

*Education -- Bachelor's degree in Business Administration, Data Science, Computer Science, Information Systems, Mathematics, Statistics, or a related field

*5 years experience in data analysis

*Oil and gas industry experience (specifically in field operations analysis, and Operations Excellence)

*Experience utilizing Spotfire, Power BI, and SAP to create sophisticated, interactive dashboards and visualizations

*Strong proficiency in data extraction, transformation, and loading (ETL) processes, data cleansing, and data preparation

*Solid understanding of data analysis techniques, including statistical analysis, data modeling, and hypothesis testing

*Familiarity with data governance and best practices for maintaining data quality and security

*Proficiency in SQL, Python, or R for data manipulation and analysis

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.