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Lead Data and Analytics Developer – Customer Analytics

NiSource
Columbus, USA
Full-time
Onsite
USD 113500-170300 yearly
Discovered 1 months ago
Customer analyticsData engineeringBusiness intelligenceData visualizationData modelingData governance

Full Job Posting

Role overview

The Lead Data and Analytics Developer works on the customer analytics team, supporting customer interactions such as billing, communications, and site visits.

The role develops customer-focused data and analytics solutions, visualizations, dashboards, and self-service tools to improve business decisions.

The Data and Analytics organization applies advanced analytics to high-value company use cases.

Schedule and location

  • The role is hybrid, with three days on location in Columbus, Ohio.
  • Relocation assistance is provided.

Compensation

  • Salary is $113,500–$170,300 per year, plus a 10% annual bonus.

Responsibilities

  • Act as a customer analytics and business intelligence subject matter expert and encourage self-service analytics adoption.
  • Develop data models, datasets, reports, dashboards, and integrated analytics solutions that meet business needs and follow data governance and BI standards.
  • Consult on data lake design to improve data quality, accessibility, and reusability.
  • Set and monitor standards for BI products and partner with IT on user-facing technology stability, performance, and upgrades.
  • Understand customer processes, enterprise platforms, and data relationships to extract and report correct data.
  • Develop interactive dashboard strategies and encourage stakeholder adoption.
  • Manage deliverables, timelines, and milestones; provide technical design guidance and mentor team members.
  • Apply data quality monitoring and data science methods to improve insights, including predictive and prescriptive solutions.
  • Partner with business teams to identify opportunities, develop strategies, advance analytics maturity, and mentor staff.

Minimum qualifications

  • Bachelor’s degree or equivalent work experience.
  • 5+ years in data engineering, business intelligence, visualization/dashboard/reporting, or data science.
  • 5+ years with data acquisition methods and tools, including Tableau Prep, SQL, Python, and Power BI.
  • 5+ years with visualization or analysis software, including Tableau, Excel, Cognos Analytics, and Power BI.
  • 5+ years coding to shape and extract data; expertise in at least one language and working knowledge of others, such as Python and SQL.

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