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Data Analyst
$89k-117k (estimate)
Other | Utilities 4 Months Ago
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Pattern Energy Group LP is Hiring a Data Analyst Near Houston, TX

Overview

Company Overview

Pattern Energy is a leading renewable energy company that develops, constructs, owns, and operates high-quality wind and solar generation, transmission, and energy storage facilities. Our mission is to transition the world to renewable energy through the sustainable development and responsible operation of facilities with respect for the environment, communities, and cultures where we have a presence. 

Our approach begins and ends with establishing trust, accountability, and transparency. Our company values of creative spirit, pride of ownership, follow-through, and a team-first attitude drive us to pursue our mission every day. Our culture supports our values by fostering innovative and critical thinking and a deep belief in living up to our promises.

Headquartered in the United States, Pattern has a global portfolio of more than 35 power facilities and transmission assets, serving various customers that provide low-cost clean energy to millions of consumers.

Responsibilities

Job Purpose

The position will have responsibility for supporting data analytics necessary to support the Grid Integration and Analysis (“GIA”) Team organize, automate, and optimize analyses of the U.S. power grid. The successful applicant will implement these strategies by learning about the tools and processes used within the GIA Team and identifying, designing, developing, and implementing tools to enhance and expedite these tools and processes. The successful applicant will have a strong data analysis and coding background as well as a desire to learn new skills associated with the planning, control, and operation of the electric power grid.

Key Accountabilities

  • Support development, maintenance, and update of internal databases required to support analysis for identifying and assessing new interconnection and transmission opportunities.
  • Develop automation tools to enhance the speed and accuracy of the Transmission Group.
  • Develop and update dashboards for quick reference of the status, location, and responsible parties for all of Pattern’s generation and transmission interconnection activities and transmission service positions across the U.S.
  • Develop documentation for all tools developed for the Transmission Group to ensure business and support continuity.

Qualifications

Educational Requirements

  • A bachelor’s degree in computer science, mathematics/statistics, physics, or engineering OR demonstration of equivalent work experience is required as a minimum.
  • 2 years of experience in computer programming or advanced data analysis automation. (College Work, internships or part time work may qualify)
  • Data Science background preferred but not required.

Additional Requirements

  • Excellent oral and written communication skills
  • Must be willing and able to travel.
  • Ability to prioritize requests.
  • Knowledge of, or willingness to learn, FERC transmission tariffs and RTO/ISO interconnection processes
  • Travel up to 20%
  • Thorough understanding of electrical power engineering language and terms.
  • A keen business sense beyond engineering and a sense of urgency in completing a job.
  • EIT or Professional Engineering Registration encouraged.
  • Experience developing power flow base cases and running either PowerWorld, PSSE or PSLF with the ability to evaluate results
  • Analysis of Transmission using PTI MUST and/or TARA

Preferred Technical Skills

  • Experience with or desire to learn Promod, U-Plan, and/or Probe
  • Ability to utilize Python, C or R for automation processes and analyses of datasets.
  • Must be proficient in typical software applications, including Excel, Word, PowerPoint, and Microsoft Project.

The expected starting pay range for this role is $64,000 USD - $87,000 in local currency. This range is an estimate and base pay may be above or below the ranges based on several factors including but not limited to location, work experience, certifications, and education. In addition to base pay, Pattern’s compensation program includes a bonus structure for full-time employees of all levels. We also provide a comprehensive benefits package which includes medical, dental, vision, short and long-term disability, life insurance, voluntary benefits, family care benefits, employee assistance program, paid time off and bonding leave, paid holidays, 401(k)/RRSP retirement savings plan with employer contribution, and employee referral bonuses.

Pattern Energy Group is an Equal Opportunity Employer.

#LI-Remote

#LI-Hybrid

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Job Summary

JOB TYPE

Other

INDUSTRY

Utilities

SALARY

$89k-117k (estimate)

POST DATE

12/08/2023

EXPIRATION DATE

04/03/2024

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The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst. You can explore the career advancement for a Data Analyst below and select your interested title to get hiring information.

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If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Analyst jobs

Data analysts typically work with existing data to solve defined business problems.

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Data analysts rely on various tools to collect and make sense of their data.

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Banks and financial firms need data analysts for financial reporting and forecasting.

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Data analysts often work directly with more senior data team members like data scientists or data engineers.

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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.

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Step 3: View the best colleges and universities for Data Analyst.

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