Duke Energy Corporation

Senior Analytics and Visualization Consultant

CHARLOTTE, NCPosted 18 days ago

Job summary

  • Job post source

    This job is directly from Duke Energy Corporation

  • Job overview

    The Senior Analytics and Visualization Consultant at Duke Energy leads advanced data analytics and visualization efforts to drive business transformation and improve operational processes.

  • Responsibilities and impact

    The role involves managing the full analytics lifecycle, applying advanced analytical and data science techniques, collaborating with stakeholders, leading projects, extracting and transforming data, generating insights, designing dashboards, and optimizing processes to support business goals.

  • Compensation and benefits

    The job offers competitive pay and benefits, including growth opportunities and recognition, with a hybrid work model requiring proximity to a Duke Energy facility.

  • Experience and skills

    Requires a bachelor's degree and at least 5 years of relevant experience, with preferred skills in Power BI, SQL, SAP HANA, Python, data orchestration, Power Platform tools, NLP, CI/CD pipelines, and utility industry knowledge.

  • Career development

    Opportunities include working on high-impact projects, leading analytics workstreams, and staying current with emerging technologies within a dynamic and collaborative environment.

  • Work environment and culture

    Duke Energy promotes a friendly work environment with opportunities for growth, recognition, and a hybrid work setting balancing remote and onsite work.

  • Company information

    Duke Energy is a major utility company focused on energy services, with initiatives to transform billing and revenue operations through data-driven insights.

  • Team overview

    The candidate will join a high-impact team managing a large portfolio of analytics tools and reports, focused on transforming AR and billing processes.

  • Job location and travel

    Hybrid work model with remote and onsite work at a Duke Energy facility, requiring employees to live within reasonable commuting distance.

  • Unique job features

    The role uniquely combines advanced analytics, machine learning, data visualization, and process optimization in a utility industry context with opportunities to lead innovative projects.

Company overview

Duke Energy is a major American electric power holding company headquartered in Charlotte, North Carolina. It operates in the energy sector, providing electricity to approximately 7.7 million customers across six states in the Southeast and Midwest. The company generates revenue primarily through the generation, transmission, and distribution of electricity, as well as natural gas distribution. Founded in 1904, Duke Energy has a significant history of mergers and acquisitions, including the notable merger with Progress Energy in 2012, which expanded its customer base and operational footprint.

How to land this job

  • Position your resume to highlight your expertise in advanced analytics, Power BI dashboard creation, and handling large datasets with SQL and SAP HANA, as these are central to the Senior Analytics and Visualization Consultant role at Duke Energy Corporation.

  • Emphasize your skills in statistical analysis, machine learning, and data science applications, along with your ability to lead analytics projects and collaborate cross-functionally to solve complex business problems related to billing, accounts receivable, and customer experience.

  • Apply through multiple channels including Duke Energy's corporate careers site and LinkedIn to maximize your application visibility and increase your chances of landing the role.

  • Connect with professionals in Duke Energy's Operational Visualization or Analytics teams on LinkedIn; when reaching out, break the ice by referencing recent analytics initiatives at Duke Energy or expressing your enthusiasm for their work in transforming revenue services through data-driven insights.

  • Optimize your resume for ATS by incorporating keywords from the job description such as 'Power BI,' 'SQL,' 'SAP HANA,' 'machine learning,' 'data visualization,' and 'analytics lifecycle' to ensure it passes initial automated screenings effectively.

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