$64.80K - $81K/yr
Other
Medical, Dental, Vision, Retirement, PTO
This job posting has expired and is no longer accepting applications. Check out similar jobs
Job description
Are you interested in being part of an innovative team that supports Westinghouse's mission to provide clean energy solutions? At Westinghouse, we recognize that our employees are our most valuable asset and we seek to identify, attract and recruit the most qualified talent while recognizing and encouraging the value of diversity in the global workplace.
About the role:As a GSS Data Analyst you will prepare data to be used by the Business Reporting & Analytics (BR&A) team across multiple areas of reporting. You will gather requirements from stakeholders and complete data transformation according to those requirements. You will report to the Manager, SQL & Data Manager and be located at our Cranberry Township, PA location. Hybrid Work Schedule.
Key Responsibilities:Build robust data pipelines to support the gathering and transformation of data to be used by the BR&A and APX Project Management Office teams
Support the APX Project Management Office by meeting with stakeholders and developing analytical processes to support Business Intelligence reporting
Develop advanced queries to provide valuable data insight for the business
Create and maintain data models in an efficient manner, maximizing the use of our data and our tools
Develop automated programs for extracting, transforming, and loading data
Assist in the administration of a central data lake to be used by the BR&A team
Perform research and provide suggestions on technologies that could be used to boost the overall productivity of the BR&A team
Protect the integrity of BR&A reporting data by continually monitoring for data cleanliness and quickly identifying and resolving issues
B.A., B.S. or equivalent business experience
3+ years experience in a similar role
Knowledge of financial processes, controls, and associated improvement programs
Familiarity with systems and data quality processes
Knolwedge of relational databases
Proficient in SQL, Python, R, Java, or any similar programming language
Background knowledge of Databricks
Proficiency in Power Platform (Power Automate, Power BI, Power Query)
We are committed to transparency and equity in all of our people practices. The base salary range for this position, which is dependent upon experience, qualifications and skills, is estimated to be $64,800 to $81,000 per year.
#LI-Hybrid
Why Westinghouse?
Our benefits package is tailored to meet the diverse needs of our employees, while also promoting wellness and career growth. The following are representative of what we offer:
Comprehensive Medical benefits which could include medical, dental, vision, prescription coverage and Health Savings Account (HSA) with employer contributions options
Wellness Programs designed to support employees in maintaining their health and well-being including Employee Assistance Program providing support for our employees and their household members
401(k) with Company Match Contributions to support employees' retirement
Paid Vacations and Company Holidays
Opportunities for Flexible Work Arrangements to promote work-life balance
Educational Reimbursement and Comprehensive Career Programs to help employees grow in their careers
Global Recognition and Service Programs to celebrate employee accomplishments and service
Employee Referral Program
Westinghouse Electric Company is the global nuclear energy industry's first choice for safe, clean, and efficient energy solutions. We enable our delivery of this vision by living our value system:
Safety and Quality
Integrity and Trust
Customer Focus and Innovation
Speed and Passion to Win
Teamwork and Accountability
While our Global Headquarters are located in Cranberry Township, PA, we have over 11,000 employees working at locations in 19 different countries. You can learn more by visiting http://www.westinghousenuclear.com.
Westinghouse is an Equal Opportunity Employer including Veterans and Individuals with Disabilities
Get connected with Westinghouse on social media: Twitter | Facebook | LinkedIn| YouTube
Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Analyst?
A: To succeed as a Data Analyst, key technical skills include proficiency in programming languages such as Python or R, expertise in data visualization tools like Tableau or Power BI, and knowledge of statistical analysis and machine learning concepts. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial for presenting insights to stakeholders and working with cross-functional teams. By combining these technical and soft skills, Data Analysts can drive business decisions, identify areas for improvement, and contribute to the growth and success of their organization.
Q: What is the career path for a Data Analyst?
A: A Data Analyst's typical career progression involves starting as an Entry-Level Data Analyst, where they collect, analyze, and interpret data to inform business decisions. As they gain experience, they can move into Mid-Level roles such as Senior Data Analyst or Business Analyst, where they take on more complex projects and lead smaller teams. Ultimately, they can advance to Senior Leadership positions like Data Scientist, Data Manager, or even Director of Analytics, where they oversee large-scale data initiatives and drive strategic business growth.\n\nKey opportunities for skill development and professional growth in this role include learning programming languages like Python or R, mastering data visualization tools like Tableau or Power BI, and staying up-to-date with emerging trends in machine learning and artificial intelligence. Additionally, Data Analysts can develop soft skills like communication, project management, and leadership to excel in their roles.\n\nLong-term career prospects for Data Analysts are diverse, with potential directions including transitioning into related fields like Business Intelligence, Data Engineering, or even becoming a Product Manager, or pursuing advanced degrees in Data Science or related fields to further specialize in areas like machine learning or data engineering.