CareerMoonshot

Lead Data and Analytics Developer – Customer Analytics

NiSource · Ohio

📍 Columbus OH - Arena District💰 $170,300via workdayFirst listed here 2026-09-28
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Lead Data and Analytics Developer   – Customer Analytics   Full Time  Perm    Shift :  Hybrid - 3 days on location    Salary :   $113 ,500 - $170,300, plus 10% annual bonus   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.   This position will be on the customer analytics team, which supports all the possible interactions the business has with customers (billing, communications, site visits, etc.).   Wit h   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 Lead Data and Analytics Developer designs, develops, and supports customer-focused data and analytics solutions that deliver measurable business value. In this role, you will partner closely with business stakeholders to understand complex challenges, prepare and transform data, and develop analytics, visualizations, dashboards, and self-service tools that drive informed decision-making and improve business outcomes. As a technical leader, you will help establish and promote data engineering, analytics, governance, and stewardship best practices while ensuring solutions are sustainable, scalable, and aligned with enterprise standards. You will lead the development of complex data products and visualizations, mentor and coach team members, review and delegate work, and provide guidance on technical design and implementation. Success in this role requires strong problem-solving skills, the ability to navigate ambiguity, and a broad perspective to identify innovative solutions that meet both business and technical needs. Your responsibilities may include, but are not limited to:    Acts in the capacity of subject matter and business intelligence expert   for   customer   analytical technologies and drives adoption of self-service analytics capabilities to achieve value   objectives   within the business     Develops and implements analytics solutions (including   but not limited to   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 Data Lake 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   customer   business processes, company enterprise   platform , and table structures/relationships to extract and report correct data Creates a strategy to develop interactive dashboards and promote their adoption/use with stakeholders at all levels of the organization Develops and manages personal and team deliverables, timelines and milestones related to assigned projects Is an expert in at least one coding language for shaping and extracting data and has a working knowledge of others (Python, SQL)    Understands advanced approaches for data quality monitoring and the impact of quality issues on the effectiveness of analytics    Understands how data science can be applied to improve insights and lead to predictive and prescriptive solutions   Acts as an internal consultant and partner for business teams to advance analytics maturity across the enterprise to include providing   strategic insights,   identifying   opportunities, developing strategies, and mentoring staff 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.    Minimum Qualifications       Bachelor’s Degree or equivalent work experience   5+ years of experience in fields related to data engineering, business intelligence (visualization/dashboard/reporting),   or data science   5+ years of experience with data acquisition methods and tools (Tableau Prep, SQL, Python,   PowerBI )       5+ years of experience with data visualization   or   analysis software (Tableau, Excel, Cognos Analytics,   PowerBI )        5+ years of experience coding for shaping and extracting   data  ( Python, R, SQL, Prep Tools)    2+ years of experience leading analytics developers or projects   Experience working with relational databases        Preferred Qualifications     Related experience in the utility industry    Experience with statistical modeling     Experience as a data steward and knowledge of data governance     Strong business acumen      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 work experience towards the end of the application. This questionnaire can take up 10 - 15 minutes to complete.***   #OhioMeansJobs #DataAndAnalytics #DataDeveloper #DADeveloper #DataSci #NowHiiring #HybridJobs #NiSource #ColumbusOH #JobsInOhio #AnalyticsDeveloper  #DataV isualizati

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