Senior Data and Analytics Developer

Requirements

• Bachelor's Degree or equivalent work experience
• 3+ years of experience with data acquisition methods and tools (Tableau Prep, SQL, Python)
• 3+ years of experience with data visualization and analysis software (Tableau, Excel, Cognos Analytics, PowerBI)
• 3+ years of experience working with relational databases
• Related experience in the utility industry
• Experience with statistical modeling
• Experience as a data steward and knowledge of data governance
• Disclaimer
• The preceding description is not designed to be a complete list of all duties and responsibilities required of the position.
• ***Please note there is a short open-ended questionnaire to complete regarding your experience towards the end of the application. This questionnaire can take up to 10 minutes to complete.***
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• As a public utility, NiSource is required to provide continuous service to customers at all times. To ensure we fulfill that obligation, employees may be required to work out

Benefits

Additional Information

Senior Data and Analytics Developer Full Time Perm Salary: $96,600 - $144,900, plus 8% annual bonus Way of Work : Hybrid - 3 days on location Location : Columbus, OH Relocation assistance provided NiSource is one of the largest fully regulated utility companies in the U.S., serving millions of customers across six states. We're more than an energy provider-we're a team committed to innovation, inclusion, and growth. At NiSource, you'll find a workplace that encourages collaboration, supports professional development, and empowers employees to make an impact. The Data and Analytics organization at NiSource is the recently established advanced analytics arm of the company. We are building a talented team that is leveraging best-in-class tools and techniques to solve our company's highest value analytics use cases. With a strong team culture and commitment to innovative problem solving, the solutions that we build will be a competitive advantage for our company for many years to come. The Sr. Data and Analytics Developer is responsible for developing and supporting data and analytics solutions that drive value. The Sr Developer partners with business teams to fully understand the problem that needs to be solved, extracts and preps data, builds analytic models, visualizations and front-end tools needed to infuse insights into our business process. As the Sr. Data and Analytics Developer you will contribute to the development of analytics best practices, data governance policies, data stewardship procedures, and assists in the ongoing sustainability of solutions by both adhering to and promoting process and technology standards. You will need experience in the full development lifecycle of analytics products and understand solution architecture, data modeling, and awareness of data science and the types of challenges that can be solved. Your responsibilities may include, but are not limited to: Acts in the capacity of subject matter and business intelligence expert in the enterprise analytical technologies and drives adoption of self-service analytics capabilities to achieve value objectives within the business. Develops and implements analytics solutions (including data models, data sets, reports, dashboards, and integrated analytics) to solve business needs, accelerate insights and inform actions and adhere to data governance and BI policies and standards. Consults with Data Product Owner on the design of the Enterprise Data Warehouse (EDW) and Data Lake environments to maximize the quality, accessibility, and re-usability of data. Establishes, promotes, and monitors adherence to policies and standards for business intelligence products. Partners with IT to ensure the technical stability and performance of user facing technology and establish upgrade strategies and roadmaps. Develops a strong understanding of business processes, company enterprise platform, and table structures/relationships to extract and report correct data Develops interactive dashboards and promote their use with internal stakeholders Develops and manages personal deliverables, timelines and milestones related to assigned projects. Leverages complex SQL and Python functions to extract and shape data Automates the monitoring of datasets for completeness and data quality Incorporates predicative solutions with imbedded BI functions and begins to introduce data science concepts to analytics solutions that require coding or scripting. You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

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