Data Analytics Specialist - Digital Product Data Team

Data Analytics Specialist - Digital Product Data Team

25 Mar 2024
New York, New york city 00000 New york city USA

Data Analytics Specialist - Digital Product Data Team

Data Analytics Specialist - Digital Product Data TeamJob Info112037Posting Expiration Date:May 31, 2024Schedule Type:Full-TimeMinimum Salary:$80000Maximum Salary:$100000Organization:Customer Energy SolutionsDepartment:Digital Products&Demo ProjectsSection:CES Digital ProductsLocation:NY-New York-4 Irving Pl HeadquartersSimilar JobsSpecialist - Digital Product Data Team (https://careers.coned.com/jobs/14160230-clean-energy-specialist) Supervisor - Construction OperationsGas Utility Technical Specification Writer (https://careers.coned.com/jobs/14157932-project-specialist) Sr. Specialist, FACIL Capital ProjectsGo Electric Senior Specialist (https://careers.coned.com/jobs/14147399-clean-energy-senior-specialist) Job DescriptionMission 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.

Core Responsibilities

Con Edison, a multibillion-dollar energy utility, is leading the clean energy transition in New York City and Westchester County. We are investing hundreds of millions of dollars annually to integrate distributed resources into our electric and gas systems, support electric vehicle charging infrastructure, and scale adoption of energy efficiency and clean heating technologies across our customers.

This is a great role to demonstrate your ability to drive results, demonstrate application of cross-disciplinary skills to the clean energy space and gain firsthand experience with the clean energy transition.

Collaborate with cross-functional teams to understand business needs and devise possible solutions.

Design and develop interactive, user-friendly Power BI dashboards and reports that accurately represent complex data sets. Ensure the integrity, accuracy, and security of data used in dashboards and reports.

Automate and streamline reporting processes to enhance business intelligence capabilities.

Participate in the design and implementation of MLOps workflows, ensuring seamless integration between development and deployment of machine learning models.

Contribute to the development of automated data preprocessing, feature engineering, training, and deployment processes using Azure Machine Learning pipelines and related services.

Use different machine learning models to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.

Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.

Coordinate with different functional teams to implement solutions and monitor outcomes.

Design, construct, and manage ETL data pipelines within the Azure Databricks environment.

Ensure the efficient extraction, transformation, and loading of data from various sources into Azure Data Lake or other designated storage solutions.

Required Education/Experience

Bachelor's Degree and a minimum of 2 years relevant experience.

Preferred Education/Experience

Master's Degree in Computer Science, Information Technology, Engineering, Math, Business, or applicable degree and 5 years related work experience in a system engineering/analysis area

Relevant Work Experience

Proficient in SQL Required

Proficient in Python Required

Deep understanding of Machine Learning algorithms and concepts Required

Experience in at least 1 machine learning projects (regression/ classification model). Required

Experience with building dashboards. Required

Experience with Cloud Computing Technologies. Preferred

Experience with Agile project management. Preferred

Familiarity with natural language processing (NLP) or Machine Learning Operations. Preferred

Experience with energy efficiency, demand-side management, electric vehicles, and/or other clean energy program from a utility or participating vendor perspective. Preferred

Familiar with New York State's Climate Leadership and Community Protection Act (CLCPA), Con Edison's rate case, New Efficiency New York, and/or other relevant clean energy regulations or proceedings. Preferred

Strong skills and experience with the MS Office suite: Word, Excel, PowerPoint, Visio, and Project. Preferred

Preferred Qualifications

Azure Databricks Data Scientist CertificateAzure Databricks Data Engineer Certificate

Skills & Ability

Excellent interpretation of complex statistical data

Demonstrated problem solving skills

Strong written and verbal communication skills

Excellent collaboration and team building skills

Possesses flexibility to work in a fast paced, dynamic environment

Licenses & Certifications

Driver's License Required

Other Physical Demands

Must be able to respond to Company emergencies by performing a System Emergency Assignment to restore service to our customers.

Technical Difficulty Statement

For technical issues, please contact us at [email protected]

Equal Opportunity Employer

Consolidated Edison Company of New York, Inc. (Con Edison), Orange & Rockland Utilities (O&R), and Consolidated Edison Transmission (CET) are equal opportunity employers. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of the individual’s actual or perceived disability, protected veteran status, race, color, creed, religion, sex, age, national origin, gender, gender identity, gender expression, genetic information, marital status, sexual orientation, citizenship, domestic violence victim status, or any other actual or perceived status protected by law.

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