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Data Analyst, Operations Engineering

Invenergy drives innovation in energy. Powered by decades of entrepreneurial experience and unparalleled execution, we solve the energy challenges facing our customers and communities. We provide power generation and storage solutions at scale around the world to create a cleaner energy future. We develop. We build. We own. We operate. We are Invenergy.

This position will be open for application for at least 3 calendar days from the posting date. This position will remain open for application based on business need, which may be before or after the 3-day posting window.

Job Description

Position Overview

The Data Analyst, Operations Engineering primarily provides technical support to a large Solar and Storage operating fleet by transforming data into actionable insights & business intelligence, optimizing fleet performance, and guiding data-driven decisions.

Core Responsibilities

  • Curate metrics, KPI’s, and reports that transform equipment information into operational intelligence.
  • Clean and process raw data to remove outliers, errors, and inconsistencies.
  • Transform data into suitable formats for analysis and reporting.
  • Design and maintain reports, dashboards and visualizations that communicate insights to stakeholders.
  • Collaborate closely with operations engineering, asset management, and site management teams to build tools to detect and diagnose underperformance issues.
  • Manage recurring metric reporting processes and identify actionable items.
  • Perform ad-hoc analyses to quantify energy and revenue impact from operational events.
  • Model expected performance scenarios under various operational decisions.
  • Model performance impact of software and hardware upgrades.
  • Support regulatory reporting requirements such as NERC GADS.
  • Utilize the Aveva PI system tools to create real time analyses.

Required Skills

  • Familiarity with Excel and Microsoft Office.
  • Strong communication skills.
  • Attention to detail and commitment to data accuracy.
  • Excellent problem solving and critical thinking abilities.
  • Front end data visualization knowledge of BI applications
  • Eligible to work in the United States without the need for employer visa sponsorship now or in the future.

Preferred Skills

  • Familiarity with the Aveva PI software suite.
  • Familiarity with database environments & query languages (SQL preferred).
  • Proficiency with business intelligence tools such as Power BI or Tableau.
  • Python or other programming experience.
  • Experience with solar modeling tools such as PVSyst.

Base Pay

$75,000.00 - $95,000.00 USD Annual
Bonus: 0% - 15%

The base pay range reflects the minimum and maximum target salary for the position. Invenergy considers a number of factors when determining base pay offers such as the scope and responsibilities of the position and the candidate's experience, education and skills.
 
In addition to base pay, the total annual compensation package may also include eligibility to participate in our bonus program(s) which are designed to reward individual and company performance. Your recruiter can share more about bonus eligibility for this position during the hiring process.
 
Invenergy offers a variety of other benefits including medical, dental and vision insurance, 401k, profit sharing, paid time off, etc.

Invenergy LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability.

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CEO of Invenergy
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Average salary estimate

$85000 / YEARLY (est.)
min
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$75000K
$95000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Analyst, Operations Engineering, Invenergy

At Invenergy, we're passionate about driving innovation within the energy sector, and we're looking for a talented Data Analyst, Operations Engineering to join our Chicago, IL team. In this dynamic role, you will be pivotal in transforming large datasets into actionable insights that will help optimize the performance of our solar and storage operations. Your expertise will allow you to curate essential metrics and reports that provide operational intelligence to our stakeholders. You will have the opportunity to collaborate with various teams, including operations engineering and asset management, ensuring that we not only identify underperformance but also develop tools to address it effectively. Your analytical skills will shine as you process raw data, create impactful visualizations, and conduct ad-hoc analyses that quantify the influence of operational decisions. We value attention to detail and a commitment to accurate data above all and are looking for someone who can manage reporting processes and support regulatory requirements seamlessly. If you’re excited about turning data into solutions for a cleaner energy future, and thrive on challenges, this is the right opportunity for you at Invenergy.

Frequently Asked Questions (FAQs) for Data Analyst, Operations Engineering Role at Invenergy
What are the responsibilities of a Data Analyst, Operations Engineering at Invenergy?

As a Data Analyst, Operations Engineering at Invenergy, your key responsibilities will include curating metrics and reports, cleaning and processing raw data, and creating visualizations that transform raw data into operational intelligence. Collaborating with cross-functional teams will also be a significant part of your role, as you help detect and diagnose any underperformance issues within the solar and storage fleet.

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What qualifications are required for the Data Analyst, Operations Engineering role at Invenergy?

To qualify for the Data Analyst, Operations Engineering position at Invenergy, candidates should have strong problem-solving abilities, proficiency with Excel and Microsoft Office, and a commitment to data accuracy. Familiarity with business intelligence tools, such as Power BI or Tableau, database environments, and query languages like SQL, is also preferred. Candidates must be eligible to work in the U.S. without employer visa sponsorship.

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How does a Data Analyst contribute to energy optimization at Invenergy?

In the role of Data Analyst, Operations Engineering at Invenergy, you play a crucial role in optimizing energy production. By analyzing operational data, you'll be able to identify patterns and trends to enhance fleet performance. Your insights will be instrumental in modeling expected performance scenarios that directly tie into operational decisions affecting energy output.

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What skills are emphasized for the Data Analyst, Operations Engineering position at Invenergy?

Key skills for the Data Analyst, Operations Engineering position at Invenergy include strong analytical skills, attention to detail, and effective communication. Familiarity with data visualization applications, databases, and programming languages like Python are also beneficial. The role requires collaboration across teams, highlighting the importance of teamwork in delivering successful outcomes.

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What benefits does Invenergy offer to Data Analysts in Operations Engineering?

Data Analysts, Operations Engineering at Invenergy can expect a competitive compensation package that includes a base salary, potential bonuses, and a robust benefits package. This includes medical, dental, and vision insurance, a 401k plan, profit-sharing, and paid time off, catering to the overall well-being and professional growth of our employees.

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Common Interview Questions for Data Analyst, Operations Engineering
Can you describe your experience with data visualization tools as a Data Analyst?

Absolutely! In your response, focus on specific projects where you utilized tools like Power BI or Tableau to create impactful visualizations. Highlight the types of data you worked with, your process for selecting metrics, and how these visualizations aided in decision-making.

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How do you ensure data accuracy when processing large datasets?

Explain your meticulous approach to data cleaning, including any specific techniques or tools you use to identify and rectify errors. Mention your commitment to maintaining detailed documentation of your processes to ensure transparency and reliability in data analysis.

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What methods do you use to identify trends in operational data?

Discuss methodologies such as time series analysis, forecasting, or statistical methods that help identify trends. Provide examples of past analyses where you uncovered significant operational insights that led to actionable decisions.

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How do you handle tight deadlines when performing data analyses?

Provide insight into your time management skills and the tools you use to prioritize tasks. Share specific techniques you employ to ensure high-quality work under pressure, such as breaking projects into manageable tasks or using software to automate routine processes.

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Describe a challenging data analysis project you've completed.

Detail a project where you faced significant challenges, the steps you took to overcome them, and the final outcomes. This demonstration of problem-solving skills is crucial, so ensure you highlight what you learned from the experience.

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How do you communicate complex data insights to non-technical stakeholders?

Illustrate your ability to distill complex technical information into easy-to-understand insights. Share examples of how you’ve tailored your communications and visualization tools to fit your audience's understanding.

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What is your experience with regulatory reporting in the energy sector?

If applicable, outline your experience with regulatory frameworks relevant to data analysis in energy. Discuss any specific regulations you have worked with and how you ensured compliance through your analyses and reports.

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How do you approach collaboration with cross-functional teams?

Emphasize the importance of effective communication and empathy in collaboration. Share past experiences where your teamwork helped deliver a successful project, and illustrate how you accommodate different perspectives and expertise.

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What motivates you as a Data Analyst in the energy sector?

Reflect on your passion for data and its potential impact on the energy industry. Mention specific aspects of working at Invenergy that excite you, like contributing to sustainable practices or innovating energy solutions through data.

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Can you provide an example of performance modeling in your previous positions?

Share specific projects where you modeled performance scenarios based on operational data, emphasizing the methods you used and the outcomes. Be sure to explain how your findings influenced decisions that positively impacted operations.

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As the world’s leading privately held developer and operator of sustainable energy solutions, we solve the energy challenges facing our customers and communities. We provide power generation and storage solutions at scale around the world to creat...

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Full-time, on-site
DATE POSTED
April 15, 2025

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