Lead Data and Analytics Developer - Customer Analytics

nisource; Columbus (OH); Hybrid; USD 114,000 - 170,000; Full time

Benefits offered by this job

Hybrid work arrangement

Relocation assistance

Job summary

NiSource is seeking a Lead Data and Analytics Developer for the Customer Analytics team in Columbus, OH. This hybrid role develops data products, dashboards, and self-service analytics to support customer interactions such as billing and site visits.

You will partner with stakeholders to transform data and deliver actionable insights. Responsibilities include leading analytics projects, promoting data governance, and mentoring team members while aligning with enterprise standards.

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.

Responsibilities

• Acts as subject matter and business intelligence expert for customer analytics technologies and drives adoption of self-service analytics capabilities.
• Develops analytics solutions, data models, data sets, reports, dashboards, and self-service tools following governance policies.
• Consults with Data Product Owner on data lake design to maximize data quality and accessibility.
• Establishes and monitors adherence to BI policies and standards.
• Partner with IT to ensure stability and performance of user-facing tech and plan upgrade roadmaps.
• Understand customer processes and data structures to extract and report accurate data.
• Create strategy for interactive dashboards and promote adoption across stakeholders.
• Manage deliverables, timelines, and milestones for projects.

Skills

Data engineering

BI visualization

Data science

Analytics leadership

Python

SQL

Education

Bachelor's Degree or equivalent work experience

Tools

Tableau Prep

PowerBI

Tableau

Excel

Cognos Analytics

R

Job description

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