Analytics Specialist

HMH is a leading provider of drilling solutions, offering a wide range of products and services that are designed to be the safest and most efficient in the industry. Apart from our expertise in land and offshore operations, we are continuously expanding our knowledge within subsea mining, geothermal, onshore and offshore construction, as well as offshore wind industries. With offices in 16 countries across five continents, HMH maintains a strong global presence.
 
HMH is a frontrunner in developing and providing automation and digital solutions for our drilling customers to support their endeavor to improve efficiency and environmental footprint. Equipped with its brilliant team of engineers, HMH is committed to actively exploring opportunities in other industries.  For us, this means new opportunities and challenges that we need creativity and great minds to solve in our efforts to innovate our future. 

Do you want to join our team?

At HMH we value our employees. We offer exciting job opportunities that will give you the opportunity to grow in your role and give you the professional development you deserve. In addition to competitive pay and benefits, you will join a casual and inclusive work environment. Our environment is based on respect and having a good day at work, so you can expect to join a knowledgeable, global team who help each other to succeed.

Job Title: Analytics Specialist

Responsibilities

• Provide actionable business analytics based on data from multiple sources.
• Assist in the design of the architecture, execution algorithms, and integration of data platforms with existing business information infrastructures to enhance customer outcomes and operational efficiency.
• Develop advanced analytics solutions for equipment health monitoring and condition-based maintenance initiatives.
• Determine relevant and compelling questions to drive significant business changes and supporting product line leaders in understanding the potential benefits of data.
• Identify additional data types needed to improve product reliability.
• Engage with various cross-functional teams to understand the product, business challenges, requirements, and objectives.
• Extract value from diverse data sets, such as time-series, transactional, and unstructured data.
• Apply mathematical, statistical, and advanced modeling methods to create solutions for descriptive, diagnostic, predictive, and prescriptive analytics.
• Identify, create, and deploy innovative analytics as part of commercial offerings.
• Perform exploratory and targeted data analysis to support business needs, collaborating with peers to brainstorm methodologies for solving business problems, and summarizing and presenting results for technical and non-technical audiences.
• Provide support in the development and maintenance of commercial analytics offerings.
• Participate in the development and execution of promotion plans to increase awareness of analytics capabilities, including presenting at industry events.

Skills/Requirements

• The position requires a Bachelor’s degree, or foreign degree equivalent, in Computer Engineering or a related field and 6 years of progressively responsible post-Bachelor’s degree experience in a related occupation.
• 4 years of experience querying and managing databases to extract and manipulate data effectively using MySQL or PostgreSQL;
• 3 years of experience in data management using Azure or ETL to ensure data integrity and quality;
• 2 years of data analysis experience analyzing complex datasets to derive actionable insights that inform business decisions using Python and SQL;
• 2 years of experience using Python for data manipulation, analysis, and automation of tasks;
• 2 years of statistical analysis experience applying statistical techniques to interpret data and drive strategic initiative using Python, including Pandas, NumPy, or SciPhy;
• 2 years of data visualization experience creating visualizations and dashboards to communicate analytical findings to stakeholders using Power BI and Tableau;
• 2 years of experience automating data extraction and operational processes to improve efficiency using Bash Scripting or Selenium
• 1 year of experience with machine learning principles and algorithms to support advanced analytics initiative using Python, including Scikit-learn.

Other information

• Hydril USA Distribution LLC will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a background check (as applicable).

Location

Houston, TX