Business Intelligence Dev SR

Introduction
Are you a problem-solver who thrives in a data rich environment?

As an Analyst, Business Intelligence, You will be part of the Digital Analytics Team, Reporting to the Digital Analytics Manager and will work collaboratively with business and technology stakeholders to bring innovative data and analytics solutions into reality.

This position is responsible for the creation and implementation of business intelligence (reports, dashboards, automations) and data analysis best practices. Assures that all appropriate management levels are effectively utilizing business intelligence. Assists the Leadership Team with special projects and other reporting and analysis functions

Your Role and Responsibilities
In this role, youll work with a team of Data Engineers, Data Architects, and Data Scientists to solve some of the most exciting and challenging problems faced by Energy and Utility companies in todays fast-paced environment.

Your primary responsibilities will be focused on building, deploying, and maintaining scalable and flexible business intelligence solutions. Many of your efforts will provide you the opportunity to apply innovative and difference-making decisions while working with complex and/or unstructured data. You will gain visibility with senior leadership and work with a team that prioritizes your growth as a data analytics professional.

Technically, you have in-depth knowledge and expertise of how to turn data into insight and intelligence.

The Work You May Do
Extract and analyze data patterns and related trends.
Design and develop BI dashboards and reports to visualize data into consumable information for organizational metrics and KPI's.
Implement, develop, maintain and/or update BI tools, databases, dashboards, systems, processes, workflows, or methods.
Transform existing solutions to new methodology and technology. Focus on establishing data frameworks, roadmaps, and related activities.
Participate in improving and streamlining processes regarding data flow and data quality to improve data accuracy, viability, and value.
Organize and participate in project planning activities to identify and document reporting requirements and develop organizational models, policies and procedures governing distribution and usage of data.
Perform statistical analysis, build predictive models, and formulate decision models that relate to operational activities to identify opportunities for financial and quality improvement.
Understand data standards and identify data abnormalities. Instill data quality and integrity in all solutions delivered.
Identify opportunities for improvement in existing reporting and help automate those data reports along with alarms and scheduled reporting
Work in an Agile, collaborative environment, partnering with other data scientists, engineers, and business leaders of all backgrounds and disciplines to bring analytical rigor and visual expertise to the organization.
Identify and facilitate training opportunities.

Who You Are
Must be detail oriented, a self-starter, and self-driven.
Must have excellent written/oral/presentation communication skills.
Strong analytical skills, critical thinker, personal computer skills required.
Demonstrated competency in data collection, design, data analysis, data quality control, database file management a must.
Ability to work independently as well as in a team environment.
Must be able to participate in meetings with all levels of management.
Ability to multi-task in a fast-paced environment.
Must be a service-oriented, quick learner and team player.
Strong problem-solving skills and experience solving complex challenges individually and in teams is required.
You have the ability to deal with ambiguity and the flexibility to change direction as additional information becomes available.

Required Professional and Technical Expertise
Minimum 2 years' experience working in a relevant role working specifically with data and the analysis of data including Power BI report writing and Creating Power BI dashboards and reports.

Preferred BS in Computer Science, Engineering, Information Technology, or related field.

Previous experience working with Google Cloud Platform, Domino is a plus

Must demonstrate the ability to interpret business data and translate into insightful recommendations

RPA development/programming experience is a plus

Experience with Alteryx, Pyramid or Sas is a plus.

Proficiency with Microsoft Office Suite