Sr Specialist - GIS Data Quality
Spring Valley, NY, United States
Con Edison
Providing electric, gas, and steam to NYC and Westchester. Pay your bill, manage your account, report an outage, and learn how to save energy.- Primary responsibilities include leading the production process, work, and reporting associated with the Data Migration and Quality Assurance (QA) of the migration and conflation of data deliverables from the Geographic Information System (GIS) and Systems Integration (SI) vendors, as well as various pilot data migration components.
- Responsible for ArcFM system testing and configuration workshops.
- Participate in project workshops, status calls, discussions with vendor teams, provide feedback, and report status updates to the Data Quality Manager.
- Proactively monitor, measure, analyze, execute, track, and report on data quality issues, interact with business users to resolve data quality problems using techniques such as root cause analysis, as well as collecting user requirements.
- Act as a communication point between O&R and the System Integrator for all Data Quality Assurance/Quality Control (QA/QC).
- Report data analysis findings to the Data Quality Manager to inform business decisions and prioritize information system needs.
- Responsible for following the tracking workstream of issuing maps on the legacy mapping systems and implementing a comprehensive plan to post all changes on the new system.
- Provide support to the Data Quality Manager as necessitated.
- Create and sustain a workplace environment that fosters inclusion, employee development, leadership, professionalism, safety, operational excellence, integrity, and courtesy.
- Perform other related tasks and assignments as required.
- Master's Degree and Two years of relevant work experience or
- Bachelor's Degree and Three years of relevant work experience or
- Associate's Degree and Four years of relevant work experience or
- High School Diploma/GED and Five years of relevant work experience
- Relevant experience and a proven ability to work creatively and analytically in a problem-solving environment, required.
- Strong leadership skills are, required.
- Experience in leading and facilitating meetings and workshops, required.
- Prior experience leading a team, preferred.
- Excellent communication (written and oral), and interpersonal skills, required.
- In-depth knowledge of Electric and/or Gas mapping and layout design processes and understanding of electric and/or Gas distribution systems, preferred.
- Prior GIS experience, preferred.
- Must be tech-savvy and proficient with Microsoft Office Suite, required.
- Prior experience with QA/QC of large projects, preferred.
- Experience in Project Management, such as work planning, status reporting, and issue/risk management, preferred.
- Demonstrated problem solving skills
- Demonstrated analytical skills
- Ability to lead/manage others
- Ability to work within tight timeframes and meet strict deadlines
- Demonstrates a high commitment to quality
- Quickly troubleshoots and resolves problems
- Demonstrated time management and priority setting skills
- Driver's License Required
- Other: Project Management Courses Preferred
- Must be able to respond to Company emergencies by performing a System Emergency Assignment to restore service to our customers.
- Must be able and willing to travel within Company service territory, as needed.
Mission Statement:
Consolidated Edison Company of New York, Inc. (Con Edison), Orange & Rockland Utilities (O&R), and Consolidated Edison Transmission (CET) employees are required to follow health, safety, and environmental policies, EEO, Standards of Business Conduct, and all other applicable company policy and procedures. We all share a responsibility to advance the company’s mission by excelling at our three corporate priorities – safety of our people and the public, operational excellence in all that we do, and ensuring the best possible customer experience.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: CX Data analysis Data quality R Testing
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