New

Operations Analyst

Calpine
United States, Texas, Pasadena
955 Phillips Co. Road (Show on map)
Nov 20, 2024
Description Calpine Corporation is America's largest generator of electricity from natural gas and geothermal resources with operations in competitive power markets. Its fleet of 77 power plants in operation represents over 27,000 megawatts of generation capacity. Through wholesale power operations and its retail businesses, Calpine serves customers in 22 states and Canada. Its clean, efficient, modern and flexible fleet uses advanced technologies to generate power in a low-carbon and environmentally responsible manner. The company was established on the premise that a strong commitment to the environment is inextricably linked to excellence in power generation and corporate responsibility. Since its founding in 1984, Calpine has led the power industry in its unwavering commitment to environmental stewardship. In addition, its renewable geothermal plants use steam generated deep below the earth's surface to produce clean, renewable electricity. Job Summary (includes but is not limited to the following, other duties may be assigned) We are seeking a skilled and detail-oriented Data Analyst to join our team in the energy and utilities sector. The ideal candidate will have a strong background in data analysis, with experience in data preparation and visualization tools. This role is critical to our business, as the successful candidate will be responsible for leading and contributing to key projects focused on data integration and providing comprehensive and accurate insights that directly influence decision-making processes and help drive the financial success of the company. A significant part of the work involves evaluating power generation equipment and subcomponents/systems, ensuring that the data-driven insights provided are accurate and impactful. The candidate must be capable of analyzing complex problems, building predictive models, and making strategic recommendations that impact our bottom line. The role also involves active participation in high-level discussions, where the candidate's insights and analysis will play a significant role in shaping the company's financial strategies. The Data Analyst will be based in our Houston office, with an expectation to work on-site full-time for the first year. After the first year, there is an option to work remotely two days a week. Job Responsibilities Analyze complex datasets and provide actionable insights to drive decision-making across various business areas. Lead projects focused on data integration, ensuring comprehensive and accurate data solutions that enhance operational efficiency. Evaluate power generation equipment and subcomponents/systems, contributing to the company's operational reliability and financial performance. Develop and maintain SQL queries, dashboards, and reports using tools like Tableau and Excel to track key performance indicators. Collaborate with internal and external teams to gather requirements, build models, and make strategic recommendations that impact the company's bottom line. Completes tasks that require an ability to recognize deviation from accepted practices for a single department or function. Experience in the energy and utilities industry is preferred but not required; candidates with relevant industry experience are welcome. Strong Microsoft PowerPoint skills, with the ability to create clear and impactful presentations. Strong verbal and written communication skills, able to convey complex information clearly to both technical and non-technical audiences. Ability to work independently with minimal supervision, adhering to broad guidelines while taking initiative to solve problems. Team player with a results-oriented mindset, comfortable with diving into issues, brainstorming solutions, and learning new methods and tools to address challenges. Job Requirements Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field from an ABET accredited institution. Minimum 2 years of experience as a Data Analyst, with a proven track record of working on complex data analysis projects. Minimum 2 years of experience with data analysis and preparation tools, such as SQL, Python, R, Excel, Alteryx, KNIME, etc along with experience in visualization platforms like Tableau, Power BI, QlikView, etc is required. Growth Opportunities This role offers opportunities for career advancement within the company, with the potential to take on more complex projects and responsibilities as you grow in your role. Additional Calpine Information: Equal Opportunity Employer of Minorities, Females, Protected Veterans, and Individuals with Disabilities. Calpine is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment and need special assistance or an accommodation to use our website or to apply for a position, please send an e-mail with your request to hrrecruitment@calpine.com. Determination on requests for reasonable accommodation are made on case-by-case basis. Please view Equal Employment Opportunity Posters provided by OFCCP here Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)