Data Analyst

Job Summary

The Data Analyst is primarily responsible for working on projects to automate manual processes and produce data driven insights for the team and other stakeholders across the organization.

A successful candidate will also actively seek out and generate new and innovative ways to retrieve, visualize and analyze data across a variety of operational, reservoir, geological, and financial data sources.

Performs a wide variety of tasks; contributes to process improvements. Leads the work of small project teams; may formally train less experienced team members.

Comprehensive knowledge of fundamental theories, principles and practices in the area of specialization. Identifies possible solutions for problems / issues of diverse scope using existing solutions.

Works under general supervision

Duties and Responsibilities

Discovers and troubleshoots data issues across sources and drives issues to resolution.

Create complex datasets, visualizations and tools.

Collaborate with varying levels of engineers, geologists and management to effectively gather data / reporting requirements and build analytical datasets, visualizations and tools.

Own, maintain and enhance critical Spotfire Tools

Implement automated solutions to streamline manual team processes.

Perform data capture processes as necessary to support analytics efforts.

Personal commitment to inclusion and diversity

Other duties as assigned.

Skills and Competencies

Use SQL to retrieve data from systems, create integrated datasets using CTEs and / or subqueries, update data within systems and create data tables and views within CLR’s data warehouse.

Use Spotfire to enhance existing projects and create new projects from scratch using data from a variety of sources across the enterprise.

Use UiPath, Grooper or Alteryx to implement automated solutions for manual workflows.

Understands or is able to learn the data models of Continental’s primary data sources including Aries, WellView, ProCount, SAP, Planning Analytics, eGIS, WLM, IHS and Enverus.

Understands basic data modeling and data integration principles and techniques.

Detail oriented with ability to organize and synthesize large amounts of data to generate high-quality, executive-level quality presentations in an efficient manner.

Understands E&P operations, drilling, completions, production, reservoir and geoscience data types.

Self-starter, with ability to work as part of a team or individually.

Advanced written and verbal communication skills

Ability to quickly adapt and exemplify flexibility around process changes and shifting priorities.

Comprehensive skills with data & analytics applications

Comprehensive knowledge of data modeling and data integration principles and techniques

Comprehensive programming skills capable of retrieving data using advanced techniques.

Ensures accountability - Holding self and others accountable to meet commitments.

Instills trust - Gaining the confidence and trust of others through honesty, integrity, and authenticity.

Collaborates - Building partnerships and working collaboratively with others to meet shared objectives.

Demonstrates self-awareness - Using a combination of feedback and reflection to gain productive insight into personal strengths and weaknesses.

Drives results - Consistently achieving results, even under tough circumstances.

Required Qualifications

High School Diploma or GED

Minimum of five (5) years’ experience within the Oil and Gas industry working as a Data Analyst, Engineering Tech, Engineering Specialist, Business Analyst, Systems Analyst, IT Analyst or related role

Intermediate to advanced skills within Spotfire with the ability to use existing projects, inherit and enhance existing projects and create new projects from scratch leveraging multiple data sources.

Intermediate to advanced skills within SQL with the ability to retrieve data from systems, create integrated datasets using CTEs and / or subqueries, update data within systems and create data tables and views within CLR’s data warehouse.

An acceptable pre-employment background and drug test.

Preferred Qualifications

Bachelor’s Degree from an accredited college or university in Management Information Systems, Data Analytics, Information Science / Management, Economics, Finance, Accounting or related degree.

Basic to intermediate skills developing automated workflows using UiPath, Grooper or Alteryx

Basic coding skills in R or Python

Physical Requirements and Working Conditions

Requires prolonged sitting, some bending and stooping.

Occasional lifting up to 25 pounds.

Manual dexterity sufficient to operate a computer keyboard and calculator.