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Business Intelligence Analyst
Стабильная компания в критически важной отрасли (энергетика) с четко прописанными ценностями и возможностями для обучения. Отсутствие указанной зарплаты и требование работы в офисе немного снижают балл, но профессиональный уровень задач выглядит привлекательно.
Сложность вакансии
Роль требует сбалансированного сочетания технических навыков (SQL, Python, ETL) и умения работать с бизнес-требованиями. Средний уровень сложности обусловлен необходимостью глубокого понимания специфики энергетической отрасли и работы с облачными платформами.
Анализ зарплаты
Зарплата в вакансии не указана, однако для позиции BI-аналитика в Луизиане рыночные показатели обычно находятся в диапазоне $75,000 - $105,000 в год в зависимости от опыта. Учитывая специфику инженерной отрасли (EPC), вознаграждение может быть выше среднего по региону.
Сопроводительное письмо
I am writing to express my strong interest in the Business Intelligence Analyst position at Beta Engineering. With a solid background in data modeling, ETL processes, and a deep proficiency in both Power BI and Tableau, I am confident in my ability to transform complex data into actionable insights that support your mission of building a stronger power grid. My experience in designing data pipelines and collaborating with cross-functional teams aligns perfectly with the requirements of your BI team.
Throughout my career, I have focused on not just delivering reports, but ensuring data quality and performance optimization to drive business value. I am particularly drawn to Beta Engineering's commitment to innovation in the high-voltage industry and your collaborative 'win together' culture. I am eager to bring my technical skills in SQL and Python, along with my problem-solving mindset, to help your team achieve extraordinary results and support the continuous improvement of your data infrastructure.
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Описание вакансии
We understand that finding the right place to work isn't easy. At Beta Engineering, we believe in cultivating a team that wins together and takes on the most challenging projects in the high-voltage industry.
We engineer, procure, and construct (EPC) projects for a variety of customers, including those in the utility, industrial, and renewable energy markets. Our work includes substations, transmission lines and more. We help our customers achieve their goals of creating a stronger power grid by reducing risks and identifying innovative solutions for their project challenges.
Our Purpose: We pursue that which challenges us, growing our community to provide critical, creative solutions that achieve extraordinary results.
Our Values: We do what we say, we turn challenges into success and we win together.
As part of the Business Intelligence team, this individual will play a crucial role in gathering requirements, developing/maintaining data sets, creating new reports, and enhancing current reports. This position also involved the development and enhancement of in-house applications.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
- Data Integration and Modeling: Work closely with internal teams to design and implement data pipelines, ensuring the efficient extraction, transformation, and loading (ETL) of data into the data warehouse/lakehouse. Apply knowledge of data warehousing concepts and data modeling to support this process.
- Reporting Solutions and Requirements Gathering: Collaborate with business users to understand reporting needs and translate them into well-defined documentation and effective reporting solutions. Develop and optimize reports and dashboards that deliver accurate, relevant, and actionable insights aligned with organizational objectives.
- Performance Optimization: Monitor and optimize report, dashboard, and query performance to ensure fast, reliable access to analytics.
- Data Analysis and Process Improvement: Conduct in-depth data analysis to identify trends, patterns, and opportunities for process improvement. Use your problem-solving orientation to address data-related challenges and contribute to continuous improvement initiatives.
- Data Quality and Governance: Support efforts to enhance data quality and uphold data governance processes. Work closely with teams to troubleshoot and resolve data-related issues, contributing to a robust and reliable data infrastructure.
- Stakeholder Support and Enablement: Provide training, guidance, and support to business users on BI tools, dashboards, and data best practices to enhance data literacy across the organization.
EDUCATION AND EXPERIENCE:
- Bachelor's degree in a relevant field (e.g., Data Science, Computer Science, Business Analytics, Engineering).
- Proficiency in programming languages such as SQL and Python
- Proficiency in reporting applications Power Bl and Tableau
- Experience working with cloud-based data platforms or services (e.g., Azure or AWS).
- Strong analytical and problem-solving skills, with attention to detail.
- Familiarity with ETL processes and tools.
- Excellent communication skills to convey technical concepts to non-technical stakeholders.
- Adaptability and a willingness to learn and grow in a dynamic environment.
- Interdisciplinary insight to collaborate effectively with teams from various departments.
- Results-oriented mindset, committed to delivering high-quality outputs.
WORK ENVIRONMENT:
- Will work in an office environment with minimal exposure to dust, noise, and other environmental hazards. May involve prolonged periods of sitting and frequent use of a computer, keyboard, and mouse.
- Able to lift 50 pounds
- Use of company vehicle, on occasion. A successful Motor Vehicle Report (MVR) is required.
Referral Level: Professional
Not eligible for Enhanced Referral
Not eligible for External Referral
More information regarding The Crest Industries Family of Companies’ Internal and External Referral Programs can be found here: https://www.crestoperations.com/recruit-new
At Beta Engineering, we empower our employees to identify innovative solutions and opportunities for future growth. Recognizing that our success begins with our people, we invest in our teams through technical, team building, and leadership training. If you want to be part of a team that is built on trust and excellence, apply today.
Beta is a subsidiary of Crest Industries, and job listings are managed by Crest Operations. Crest owns and operates companies that serve industries including power delivery, manufacturing, natural resources, and specialty chemicals. Click here to learn about careers within the Crest Industries® family of companies.
Beta Engineering is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
Beta Engineering is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request information regarding reasonable accommodation, contact your Human Resource Business Partner.
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)
Part of the CREST INDUSTRIES family of companies.
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Навыки
- Data Analysis
- Tableau
- AWS
- Azure
- Python
- SQL
- Data Visualization
- ETL
- Power BI
- Data Modeling
- Data Warehousing
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