Business Intelligence Engineer
295 Collinsville Corp Office, United States
Full Time Entry-level / Junior USD 70K - 158K
About Us
Ameren is a leader in the energy industry, and our transformation toward more clean, renewable energy is also transforming other industries and infrastructure in our communities. As a regional company serving local customers, we not only serve our communities, we're a part of them. This isn't just a job. At Ameren, we invest in you, so you can power the quality of life you want.
Diversity, Equity & Inclusion is one of the core values that guides us in everything we do. We are committed to building a skilled and diverse workforce that brings diverse perspectives to every area of our business.
Our benefits include:
Medical coverage on date of hire
100% employer paid cash balance pension plan
401(k) with company match fully vested on date of hire
Minimum of 15 days paid vacation and 12 paid holidays
Paid parental leave and family caregiver leave
Visit our Benefits and Perks Page for more information on benefits provided to regular full-time employees.
About Ameren Illinois
Ameren Illinois provides electric transmission and distribution service and natural gas distribution service. Every day, we deliver electricity to 1.2 million electric and 816,000 natural gas customers in central and southern Illinois. We deliver safe, reliable energy to more than 1,200 communities.
About The Position
The position performs duties for the Business Analytics team related to AIC's Electric and Gas business line. This position will be responsible for gathering and analyzing operational, asset, and financial datasets in order to develop insights that support strategic investment. The role will lead data analytics developments including dashboards, ad hoc requests, and data correlations.
- Generates reports and regular datasets or report information for end users, using system tools and database or data warehouse queries and scripts. May create specifications for reports based on business requests.
- Designs, develops and programs methods, processes and systems to consolidate and analyze structured and unstructured data from diverse sources to generate actionable insights and solutions for client services and product enhancement.
- Integrates data from multiple sources to produce requested or required data elements.
- Develops analytics solutions to business problems
- Develops, maintains and communicates dashboards and modelling to support business decisions
Key responsibilities include:
- Builds an understanding of existing models and uses existing parameters/guidelines to prepare data for reports.
- Applies best practices and established procedures to analyze data and identify trends
- Builds skills around modeling within the portfolio
- Documents data requirements and works with business users to understand business problems
- Assists in the creation of dashboards and reporting models in a relational database management system
- Engages with business stakeholders to develop understanding of their operations and define how analytics can solve key business problems
- Develops understanding of data science principles, (e.g., data collection and analysis of unstructured data sets, data science model development and machine learning)
- Assists in ongoing maintenance and support of reporting and analytics applications
- Builds understanding of the Operations & Tech Services organization's objectives, and the impact on own projects
- Assists with implementation of new visualization tools and techniques and monitors their performance
- Requests feedback on own work and provides feedback to others
Business Intelligence Engineer Qualifications
- Bachelor’s degree required, preferably in mathematics, statistics, computer science or business
- 0+ years of relevant experience
- Will consider candidates without a degree if they show/demonstrate having additional 2+ years of equivalent, relevant experience in tools, systems and initiatives leveraged by Ameren
Business Intelligence Engineer II Qualifications
- Bachelor’s degree required, preferably in mathematics, statistics, computer science or business
- Will consider candidates without a degree if they show/demonstrate having 2+ additional years of equivalent, relevant experience in tools, systems, and initiatives leveraged by Ameren
- 3+ years of relevant experience required
Senior Business Intelligence Engineer Qualifications
- Bachelor’s degree required, preferably in mathematics, statistics, computer science or business
- 5+ years of relevant experience
In addition to the above qualifications, the successful candidate will demonstrate:
- Basic knowledge of data visualization, data modeling, and data science methodologies/processes
- Working analytical skills to address business problems
- Ability to manage multiple priorities and to clarify priorities, scope, and requirement in ambiguous situations
- Ability to use a variety of techniques and tools to analyze data stored in databases, data warehouses, and data marts.
- Experience with Amazon web services, SQL, and Power Bi will be highly beneficial
Additional Information
Ameren’s selection process includes a series of interviews and may include a leadership assessment process. Specific details will be provided to qualified candidates.
#LI-Hybrid
Compensation Range:
$70,200.00 - $158,900.00* This pay range encompasses multiple levels of the role. Career level and compensation depends upon applicant's credentials.
At Ameren, base salary is one component of a competitive compensation package for employees. Our pay ranges are broad to allow for movement within our organization and to accommodate different skill sets and levels of expertise. We take into consideration a variety of factors including, but not limited to, skills, abilities, experience, education, credentials, and internal equity when determining the base salary offered. Roles are eligible for additional rewards including annual incentive payments based on individual and company performance.
If end date is listed, the posting will come down at 12:00 am on that date:
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, ethnicity, age, disability, genetic information, military service or status, pregnancy, marital status, sexual orientation, gender identity or expression, or any other class, trait, or status protected by law.
Tags: AWS Business Analytics Business Intelligence Computer Science Data Analytics Data visualization Data warehouse Machine Learning Mathematics ML models Power BI RDBMS SQL Statistics Unstructured data
Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Health care Medical leave Parental leave
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