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Bring YOUR energy to Alliant Energy!

At Alliant Energy, our purpose is to serve customers and build strong communities. We are passionate about powering beyond the market challenges of today, while powering what's next in energy.When our employees say "I am energy," it means they take pride in the work we do when disaster strikes, as well as all the days in between. We reward our highly hardworking and dedicated teams and give them the support they need to ensure their safety, wellness and financial security for themselves and their families.

If you'd like to work at a place where you matter and where you can use your talents and passions to advance your career, join the Alliant Energy team.

What sets us apart?
  • Competitive pay and an excellent benefits package
  • A dedication to career growth and development
  • A culture that elevates our core values of live safety, do the right thing, care for others, make things better, act for tomorrow, and think beyond - be bold.
  • The chance to create a positive impact on our local communities
Alliant Energy has an outstanding opportunity for a Manager Enterprise Analytics to join our team.

In this role, you will own the enterprise analytics team to advance Alliant Energy's mission, priorities, and strategy. You will be accountable for the intake and prioritization process for analytical needs, lead complex opportunities in the utility analytics area, and be the "voice" of analytics in partnership with business partners. The ideal candidate will enable leaders to make informed decisions on sophisticated and critical initiatives by performing financial, process, and data analysis.

This position offers a blend of working from home, and in the Cedar Rapids, IA or Madison, WI office on average 2 days per week. The successful candidate must reside in either Iowa or Wisconsin.

Alliant Energy will not provide sponsorship for an employment visa (e.g., H-1B visa) now or in the future for this position.

Job Responsibilities

  • Manages, coaches and mentors a team of data analytics professionals to formulate, design and create analytical projects.
  • Partners with business stakeholders and the technology/cyber security teams to deeply understand business problems and drive application of analytics techniques to support business decisions.
  • Leads cross-functional projects using sophisticated data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
  • Supports analytics design decisions by taking relevant inputs from business team and defining clear plan for analytics team; pushes analytics teams to confirm assumptions, extract relevant insights and to interpret the models and outputs.
  • Leads communication of analytics outputs with partners; acts as liaison management and data analytics professionals; Shares insights with business partners and collects input.
  • Works collaboratively with data engineering teams as required to acquire all vital data to support project needs (data exploration, training data, feature engineering, modeling, etc)
  • Responsible for the quality of business data used in the new system environment, including data coming from legacy environments.
  • Continuously learn about the industry trends and keep the enterprise educated.
  • Creates and leads structured methodology for agile delivery of all analytics use cases/projects.

Job Qualifications

Required Qualifications:

  • 5 years of proven experience (statistics, engineering, performance management, analytics, research, finance, etc.).
  • 3 years supervisory experience or equivalent.
  • Understanding of data exploration techniques, storytelling with data and statistical software packages
  • Proven understanding of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
  • Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing concrete recommendations for business units.
  • Demonstrated leadership; consistent track record of leading sophisticated, multidisciplinary teams in new endeavors and delivering solutions.
Preferred Qualifications:
  • Bachelors or Master's degree with an emphasis in Information Technology, Statistics, Computer Science, Technology. Engineering, Mathematics, Statistics, Quantitative Modeling, Computer Science, Data Science, Business Analytics, or related area.
  • Experience with sophisticated analytics, machine learning and/or digital transformation projects is preferred
It's not just what we do; it's how we do it.Live Safety. Everyone. Always | Make Things Better | Care For Others | Do The Right Thing | Act For Tomorrow | Think Beyond. Be Bold

Applications will be accepted until a qualified pool of candidates is received.

Energize your future and apply today at www.alliantenergy.com/careers.

Alliant Energy is committed to providing an inclusive work environment for all and is proud to be an Equal Opportunity Employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or any other basis prohibited by law. We are committed to the full inclusion of all qualified individuals. As part of this dedication, Alliant Energy works to ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to preform key job functions, and/or to receive other benefits and privileges of employment, please contact the HR Service Center at .

All candidates selected for employment with Alliant Energy will be required to successfully complete a drug screen and background check.

Disclaimer: The above information on this description has been crafted to indicate the general nature and level of work performed by employees within this classification. It is not crafted to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.

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