Apply: Analytics Specialist

Reference: BH-454-5

Job Title: Analytics Specialist

Role Summary
The Analytics Specialist is responsible for providing actionable business analytics based on data from multiple sources. In this role, you will assist in designing the architecture, execution algorithms and integration of data platforms with existing business information infrastructures to achieve better outcomes for our customers and our operations. This role will also own and lead the development of advanced analytics solutions for equipment health monitoring and condition-based maintenance initiatives.
Additionally, the Analytics Specialist will lead the business in determining the relevant and compelling questions to ask that change business outcomes. You will support the Product Line Leaders understand the potential benefit that can be extracted from data and identify additional types of data that should be obtained to improve product reliability.

Key Responsibilities:
In the role of Analytics Specialist, you will:

Engage various cross-functional teams to understand the product, business challenge, requirements, and objectives
Responsible for extracting value from various types of data sets including but not limited to timeseries, transactional, and unstructured data.
Apply math, statistics, and/or advanced modeling methods to create solutions which can be utilized in descriptive, diagnostic, predictive, and prescriptive analytics
Responsible for identifying, creating, and deploying innovative analytics as part of our commercial offerings
Perform exploratory and targeted data analysis to support the business needs
Continuously engage and collaborate with peers to brainstorm methodologies to solve business problems
Summarize and present results in clear and concise manner for a technical and non-technical audience
Support the development and maintenance of our commercial analytics offerings
Participate in development and execution of promotion plans that increase awareness of HMH’s Analytics capabilities, including participation/presenting at industry events

Qualifications/Requirements:

Degree in the field of Analytics, Engineering, Computer Science, Statistics, Math, or Science from an accredited college or university
Minimum 5 years of experience using Python as the programming language for Data Science
Excellent interpersonal and communication skills in both formal and informal settings

Desired Characteristics:

Experience in developing analytics for their application in Time-Series data
Experience with equipment health monitoring
Proficiency in SQL and NoSQL databases
Exposure to Cloud Computing Platforms such as AWS and MS Azure
Familiar with Machine Learning Frameworks
Familiar with Visualization Tools such as Tableau or Power BI
Basic understanding of engineering drawings
Advanced degree in the field of Analytics, Engineering, Computer Science, Statistics, Math, or Science from an accredited college or university
Ability to communicate with business and IT leaders in a way that can influence how an organization approaches business.
Ability to work with cross-functional teams to help build effective processes
Strong oral and written communication skills

Additional Information

Must be legally authorized to work in the United States on a full-time basis, now or in the future, without employer sponsorship for employment visa status

Location:
Houston, TX (JFK)

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HMH delivers a global full-service offshore and onshore drilling equipment offering that provides our customers with a broad portfolio of products and services. Our portfolio also includes providing equipment and services for other industries including civil construction, offshore wind, mining and more.Our company vision drives an unparalleled commitment to quality and major economic advantages for our customers and stakeholders.HMH has a global span covering five continents, with offices in 16 countries. Our 2100 dedicated professionals consistently strive to enhance customer satisfaction and form meaningful collaborations by creating a personalized experience.