NiSource

ManagerDataandAnalytics

$133–200k Columbus, Ohio, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Manager Data and Analytics at NiSource. Skills: Data science, Data engineering, Business intelligence, Analytics. Promote value-first approach for data and analytics products. Monitor data and analytics products”

What You'll Achieve.

Enable data driven decisions; Enable data driven insights; Enable data driven value

Industry & Context.

Problems you'll solve

Analytical thinking

Eligibility Requirements

Relocation assistance

What They're Looking For.

Must Have

Bachelor's degree or equivalent work experience, 4+ years experience data engineering, BI, data science, data analysis, business analysis, 3+ years SQL or other data extraction language, 1+ year other programming language, 2+ years leading analytics developers

Nice to Have

Advanced degree, Diverse background across multiple data domains, Proven experience delivering enterprise value through analytics

What You'll Do.

Promote value-first approach for data and analytics products

Monitor data and analytics products

Practice value-first approach for data and analytics products

Establish relationships with business leaders

Gain trust with business leaders

Advocate for analytics

Advocate for data governance

Ensure analytics are producing intended results

Oversee data and analytics portfolio activities

Oversee data science activities

Oversee data engineering activities

Oversee data prep activities

Oversee data governance activities

Oversee data stewardship activities

Oversee visualization activities

Oversee alerting activities

Oversee dashboard development activities

Perform analysis of data

Identify trends in data

Create executive summary conclusions

Lead with continuous improvement focus

Collaborate with key stakeholders

Develop data and analytics products

Enhance data and analytics products

Develop strategies for advancing analytics maturity

Oversee strategies for advancing analytics maturity

Foster communities of practice

Foster training programs

Hire data and analytics professionals

Train data and analytics professionals

Evaluate data and analytics professionals

How You'll Work.

Team & Collaboration

Business leaders; IT; Analytics teams; Data analysts; Data scientists; Data stewards; Data owners

Full Job Description

**_Manager of Data and Analytics_** ** _Full Time Perm_** ** _Salary:_ **$133,400 - $200,100, plus 15% annual bonus ** _Way of Work:_** Columbus, OH ** _Relocation Assistance to Columbus Provided_** 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 Manager of Data and Analytics will lead and develop a team that implements and supports analytics solutions that enable data driven decisions, insights and value. The manager will work closely with business leaders to ensure that solutions are providing the intended value and will partner with IT to collect and prepare high quality data. This role requires comfort operating seamlessly between business processes, data analytics and technical application capabilities. Collaboration with key partners, continuous improvement and analytical thinking is essential for success. The manager will provide strong and inclusive leadership in a manner that engages employees, establishes a culture of trust and accountability and creates a strong pipeline of talent. **Your responsibilities may include, but are not limited to:** * Promotes, monitors and practices a value-first approach for data and analytics products that lead to actionable recommendations. * Establishes relationships with business leaders to gain trust, advocate for analytics and data governance and to ensure analytics are producing the intended results * Oversees activities related to an internal data and analytics portfolio (may include data science, data engineering, data prep, data governance, data stewardship, visualization, alerting and dashboard development). * Oversees and/or performs

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