EY Data Analytics - Oil & Gas Sector Senior 

United States, Texas, Houston 

523789080

Your key responsibilities

You’ll spend most of your time architecting solutions and managing client engagement teams, working with a wide variety of clients to deliver professional services, and managing business development activities on strategic and global priority accounts.

• 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

Skills and attributes for success

• 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.

To qualify for the role, you must have

• A 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

• Recommendation engines, scoring systems, A/B testing

• 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.

Ideally, you’ll also have

• Bachelor’s Degree or above in mathematics, information systems, statistics, computer science, or related disciplines

• Experience with Azure Data Factory and AzureML a plus

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.