Data Analytics Engineer

Posted:
5/23/2024, 5:00:00 PM

Location(s):
Oklahoma, United States ⋅ Tulsa, Oklahoma, United States

Experience Level(s):
Junior ⋅ Mid Level

Field(s):
Data & Analytics

Workplace Type:
Hybrid

#WeAreONEOK Fortune 500 company. 100+ years in business. Leading midstream service provider. Safety first. Sustainable operations. Environmentally responsible. Employee focused.

JOB SUMMARY

We are seeking a skilled Data Analytics Engineer to join our enterprise Advanced Analytics and Data Science team where we are solving challenging and impactful business problems by leveraging AI, ML, and other advanced algorithms. The Data Analytics Engineer will play a pivotal role in blending analytical rigor, advanced algorithms, and domain knowledge to drive decision-making and business strategy across the enterprise.

This is a hybrid role. In this role, you would work in the Tulsa office on Mon/Tue/Thu and at home on Wed/Fri each week.

Key Responsibilities:

Design and develop sophisticated data models and simulations with python.

Collaborate with Data Analysts, Business Analysts, Data Engineers, and Data Scientists to ensure seamless integration and alignment of analytics solutions with business objectives.

Create robust data pipelines in cloud environments to support scalable analytics solutions.

Engage with stakeholders across the business to translate complex datasets into actionable insights and clear, impactful business solutions.

Continually monitor and refine analytics models and frameworks to improve accuracy, efficiency, and functionality.

Required Skills and Qualifications:

Bachelor's Degree Quantitative field (Finance, Economics, Math, Engineering, Science), Computer Science, Computer Engineering, Information Technology, Systems Analysis, or a related study preferred

Minimum 3 years related work experience

Expert proficiency in SQL and Python, with a solid foundation in statistical methods and data analysis techniques.

Strong experience in deploying and managing analytics solutions on cloud and hybrid environments.

Excellent problem-solving skills and the ability to work collaboratively in a dynamic, cross-functional team environment.

Superior communication skills, capable of explaining complex analytical concepts to non-technical stakeholders.

Proficiency in BI tools like Spotfire and Power BI.

Job Profile Summary

Architecting, building, creating, managing, and optimizing data pipelines and then moving these data pipelines effectively into production for use by Data Analysts, Data Modelers, and Data Scientists. Data Engineers also need to guarantee compliance with data governance and data security requirements while creating and improving these integrated and reusable data pipelines. Will require both training, promoting, and collaborative working with all IT departments and business units. Consistent use and/or application of advanced principles/theories/concepts/techniques in area of expertise. Often has unique knowledge in the area of specialty plus solid knowledge of other related fields. Organizes, examines, and analyzes information to provide resolution to a diverse range of complex problems/issues where analysis requires evaluation of variable factors and solutions often require creativity and a broad knowledge base to provide resolutions. Work is completed without considerable direction and acts independently to determine methods/procedures to obtain results. Generally, only special assignments may be reviewed to ensure objectives have been met. Failure to obtain results or erroneous judgment/recommendations may result in the inability to reach crucial department/organizational goals and may have serious prolonged effects or impacts.
 

Essential Functions and Responsibilities

  • Build data pipelines:

    • Manage a series of stages through which data flows from data sources or endpoints of acquisition to integration to consumption for specific use cases.

  • Innovate data pipelines:

    • Drive innovative use of modern tools, techniques, and architectures to partially or completely automate the most common, repeatable, and tedious data preparation and integration tasks.

  • Training counterparts such as Data Scientists, Data Modelers, and Data Analysts in using data pipelines and preparation techniques, which make it easier for them to integrate and consume the data they need for their own use cases.

  • Promotion of the available data and analytics capabilities to end users and business unit leadership.

  • Ensure Data Scientists, Data Modelers, and Data Analysts use the data provisioned to them responsibly through data governance and compliance initiatives.

Education

  • Bachelor's Degree Computer Science, Computer Engineering, Information Technology, Systems Analysis

Work Experience

  • 6 - 10 years related work experience preferred

Knowledge, Skills and Abilities

  • Ability to: communicate effectively orally and in writing in English

  • Ability to: communicate effectively with supervisors, co-workers, internal and external customers

  • Ability to: work under time pressure, tight deadlines and interruptions

  • Ability to: use a personal computer with the Windows® operating system to complete time sheets, send and receive e-mail, and access information posted on the Company’s intranet

  • Ability to: follow instructions or standard procedures

  • Ability to: compile and/or examine information and select the best action from defined alternatives

  • Ability to: organize and/or analyze information and identify solutions from a range of alternatives

  • Ability to: deal with complex issues which require substantial analysis or independent judgment

Licenses and Certifications

  • None required

Strength Factor Rating - Physical Demands/Requirements

  • Sedentary Work - Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull, or otherwise move objects, including the human body. Sedentary work involves sitting most of the time, but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.

Strength Factor Description - Physical Demands/Requirements

  • Standing: Remaining on one's feet in an upright position at a work station without moving about (Occasionally)

  • Walking: Moving about on foot (Frequently)

  • Sitting: Remaining in a seated position (Constantly)

  • Lifting: Raising or lowering an object from one level to another (includes upward pulling) (Occasionally)

  • Carrying: Transporting an object, usually holding it in the hands or arms, or on the shoulder (Occasionally)

  • Pushing: Exerting force upon an object so that the object moves away from the force (Occasionally)

  • Pulling: Exerting force upon an object so that the object moves toward the force (includes jerking) (Occasionally)

  • Climbing: Ladders, Stairs (Occasionally)

  • Balancing: Maintaining body equilibrium to prevent falling (Occasionally)

  • Stooping: Bending the body downward and forward by bending the spine at the waist (Occasionally)

  • Kneeling: Bending the legs at the knees to come to rest on the knee or knees (Occasionally)

  • Crouching: Bending the body downward and forward by bending the legs and spine (Occasionally)

  • Crawling: Moving about on the hands and arms in any direction (Occasionally)

  • Reaching: Extending hands and arms in any direction (Constantly)

  • Handling: Seizing, holding, grasping, turning or otherwise working with the hand or hands (Manual Dexterity) (Constantly)

  • Fingering: Picking, pinching or otherwise working with the fingers primarily (Finger Dexterity) (Constantly)

  • Feeling: Perceiving such attributes of objects/materials as size, shape, temperature, texture, movement or pulsation by receptors in the skin, particularly those of the finger tips (Constantly)

  • Talking: Expressing or exchanging ideas/information by means of the spoken word (Frequently)

  • Hearing: Perceiving the nature of sound by the ear (Frequently)

  • Tasting/Smelling: (Occasionally)

  • Near Vision: Clarity of vision at 20 inches or less (Constantly)

  • Far Vision: Clarity of vision at 20 feet for more (Frequently)

  • Depth Perception: Three-dimensional vision; ability to judge distances and spatial relationships so as to see objects where and as they actually are (Frequently)

  • Vision: Color - The ability to identify and distinguish colors (Constantly)

Working Conditions/Environment

  • Employee is subject to inside environmental conditions

Working Conditions

  • Well lighted, climate controlled areas (Constantly)

  • Frequent repetitive motion (Constantly)

  • CRT (Computer Monitor(s)) (Constantly)

Travel

  • Less than 10%

Driving

  • Based on assigned tasks, employee may be assigned a company vehicle requiring the applicable driver's license

ONEOK is an equal opportunity employer committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, sex, pregnancy, sexual orientation, age, religion, creed, national origin, gender identity, disability, military/veteran status, genetic information or any other categories protected by applicable law.

The job description is not intended to be a complete list of all responsibilities, duties or skills required for the job and is subject to review and change at any time, with or without notice, in accordance with the needs of ONEOK.

ONEOK is committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request an accommodation email [email protected] or call 1-855-663-6547​.

#LI-Hybrid

Expected Salary Range

$0.00 - $0.00

Oneok

Website: https://oneok.com/

Headquarter Location: Tulsa, Oklahoma, United States

Employee Count: 1001-5000

Year Founded: 1906

IPO Status: Public

Last Funding Type: Post-IPO Debt

Industries: Automotive ⋅ Energy ⋅ Logistics ⋅ Oil and Gas ⋅ Transportation