Lead Data Analyst- Statistical Analysis

4 weeks ago

Pittsburgh, Pennsylvania, United States Duquesne Light Company Full time
Duquesne Light Company, headquartered in downtown Pittsburgh, is a leader in providing electric energy and has been in the forefront of the electric energy market, with a history rooted in technological innovation and superior customer service. Duquesne Light Company is committed to creating a culture of inclusion. Location: Hybrid, downtown Pittsburgh, Pennsylvania

The Lead Analyst, Data & Analytics is a position within the Corporate Strategy department at Duquesne Light Company (DLC). Corporate Strategy is an organization guided by the DLC Executive Team to identify compelling ideas within the organization that can be used to improve efficiencies and drive value within DLC.

The Lead Analyst will perform analysis to support DLC's on-going efforts to be a data-driven organization. Reporting to the Senior Manager, Analytics Center of Excellence (ACE), the Lead Analyst will be a pivotal team member in finding sustainable efficiency and savings opportunities born from rigorously and objectively analyzing enterprise data. The individual will also have responsibility for developing relationships and effective partnerships with all parts of the organization to drive the best enterprise-wide outcomes.
The position will require a combination of proven experience and subject matter expertise in data and analytics.

Analytical Project Management
Independently run analytical projects with stakeholders throughout the organization
Create business briefs detailing project scope, goals, requirements, and assumptions
Design and maintain project plans outlining steps for collection, evaluation, refinement, and analysis of data
Perform data collection and preparation activities using tools like Databricks, Excel, SQL Server, SQL Developer, Snowflake, RStudio, and Anaconda
Select and apply appropriate data modeling techniques to address business questions
Present projects results and convey actionable insights to internal stakeholders, varying from individual contributors to executives
Document data decisions, processes and results
Model data governance best practices.
Promote the expansion of data literacy throughout the business.
Support the advancement of data culture at DLH.

Bachelor's degree in a quantitative field or equivalent experience required; Seven (7) or more years of relevant experience, including aggregating and analyzing large scale data to create insights, is required.
We must keep ourselves, each other, our customers and communities safe.
We believe in equity and equal access to work, resources and opportunities are critical elements of a clean energy future for all.
We are ingrained in our community ; we work where we live and are committed to serving our vibrant, diverse communities.

All Non-Union Employees will serve in storm roles as appropriate to their role and skillset.

Duquesne Light Holdings is committed to providing equal employment opportunity to all people in all aspects of the employment relationship, without discrimination because of race, age, sex, color, religion, national origin, disability, sexual orientation and gender identity or status as a Vietnam era or special disabled veteran or any other unlawful basis, as defined by applicable law, and fostering a workplace free of unlawful discrimination and retaliation. This policy affects decisions including, but not limited to, hiring, compensation, benefits, terms and conditions of employment, opportunities for promotion, transfer, layoffs, return from a layoff, training and development, and other privileges of employment. An integral part of Duquesne Light Holdings' commitment is to comply with all applicable federal, state and local laws concerning equal employment and affirmative action.
Duquesne Light Holdings is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. com and describe the specific accommodation requested for a disability-related limitation.

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