200+ applicants
EY · 2 days ago
Senior Manager - Data Analytics - Oil & Gas Sector
Houston, TX
Full-time
Onsite
Senior Level
$173K/yr - $395K/yr
5+ years exp
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Responsibilities
Define and execute the analytics strategy and roadmap for oil & gas clients, aligning with their business objectives and challenges
Lead and mentor a team of analysts, ensuring high-quality deliverables, timely execution, and effective communication
Design and implement analytical frameworks, models, and dashboards to address complex business problems and generate actionable insights
Leverage advanced analytics techniques, such as machine learning, optimization, simulation, and forecasting, to optimize operational efficiency, optimize carbon intensity, reduce costs, and improve performance
Communicate and present analytical findings and recommendations to senior management and clients, using clear and compelling visualizations and narratives
Establish and maintain strong relationships with internal and external stakeholders, including business leaders, engineers, and domain experts
Stay updated on the latest trends, technologies, and best practices in the oil & gas industry and the analytics domain
Assisting in the strategy and implementation of Artificial Intelligence, Data Science, Big Data, and modern Information Management
Helping our clients make data-driven decisions by working with structured and unstructured data sets, building out predictive models and advising our clients on data mining leading practices
Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) as appropriate
Designing, architecting and developing solutions leveraging big data technology (Open Source, Hortonworks, AWS or Microsoft) to ingest, process and analyze large, disparate data sets to exceed business requirements
Leading large-scale client engagements. Fostering relationships with client personnel at appropriate levels. Consistently delivering quality client services. Driving high-quality work products within expected timeframes and on budget.
Monitoring progress, managing risk and ensuring key stakeholders are kept informed about progress and expected outcomes.
Provides directional guidance and recommendations around data technology, data models, and data storage formats
Managing expectations of client service delivery.
Staying abreast of current business and industry trends relevant to the client's business
Effectively managing and motivating client engagement teams with diverse skills and backgrounds. Providing constructive on- the- job feedback/coaching to team members.
Fostering an innovative and inclusive team- oriented work environment. Playing an active role in counselling and mentoring junior consultants within the organization
Cultivating and managing business development opportunities. Developing and maintaining long- term client relationships and networks.
Qualification
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Required
Bachelor’s degree or higher in a quantitative field, such as mathematics, statistics, engineering, computer science, or economics
At least 5 years of relevant experience in analytics, preferably in the oil & gas industry or a related sector
Proficiency in data analysis, data visualization, and data storytelling, using tools such as SQL, Python, R, Power BI, Tableau, Cognite, Palantir, Dataiku, or similar
Experience in applying advanced analytics techniques, such as machine learning, optimization, simulation, and forecasting, to solve real-world problems
Experience implementing AI/ML Ops, Model Release Management, Model Training
Experience using data mining and statistical tools
Solid pattern recognition and predictive modelling skills
Thorough business understanding of data science application and ability to communicate with key decision-makers
Hands-on experience with various big data technologies in one or more ecosystems (Hadoop, AWS or Microsoft)
Experience in leading and managing teams, projects, and stakeholders, with strong leadership, project management, and communication skills
A valid driver’s license in the US; willingness and ability to travel to meet client needs
Preferred
Bachelor’s Degree or above in mathematics, information systems, statistics, computer science, or related disciplines
Experience with Azure Data Factory and AzureML a plus
Benefits
Medical and dental coverage
Flexible vacation policy
EY Paid Holidays
Winter/Summer breaks
Personal/Family Care
Other leaves of absence
Company
EY exists to build a better working world, helping create long-term value for clients, people and society and build trust in the capital markets.
10,001+ employees
H1B Sponsorship
EY has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (7267)
2022 (9628)
2021 (6575)
2020 (7115)
Funding
Current Stage
Late StageLeadership Team
Jonathan Williamson
Chief Operating Officer
Zoey Carver
AI@EY Deputy COO - Global Innovation Product Owner
Recent News
2024-04-18
2024-04-17
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