Data Management Engineer

The Business Analyst (BA) will work under the direction of the Director, Business Analytics supporting the Publications Division in revenue generation, expense reduction, and operational efficiency activities. The BA will also play a role in developing and expanding the Publications Division's enterprise data needs. This includes data analysis around pricing, customer behaviors and account performance. Additionally, this position will provide analysis & modeling of business data to assist stakeholders in making informed business decisions and provide opportunity recognition. We are seeking a detail-oriented and analytical Business Analyst with strong financial acumen and hands-on experience in data visualization tools to join our growing team.

Primary duties will include the following:

1. Develop and maintain dashboards and reports using tools such as Power BI, Tableau, Qlik Sense or Looker.
2. Analyze financial and operational data to identify trends, risks, and opportunities
3. Collaborate with finance, operations, and executive teams to define KPIs and reporting needs.
4. Assimilates, validates & analyzes business data to help senior management make informed business decisions.
5. Responsible for testing of proper controls.
6. Responds to ad-hoc requests pertaining to data or informational analysis.
7. Responsible for compiling weekly/monthly management reports and information.
8. Tracks and evaluates results, incorporates historical trends, and interprets results into clear and concise management reporting.
9. Performs continual data validation and creates process/procedural improvements to ensure data integrity.
10. Translate business requirements into technical specifications for data models and visualizations.

Skills:

1. Bachelor's degree in accounting, analytics, finance or related field and/or equivalent experience; M.B.A. or advanced degree in Data Analytics preferred.
2. Business acumen around finance, operations, sales, marketing, etc...
3. Proficiency in data visualization tools (e.g., Power BI, Looker, Qlik Sense, Tableau)
4. Excellent communications, interpersonal, data storytelling and project leadership skills required. Strong working knowledge of Microsoft Office (specifically Microsoft Excel); standard business systems software skills; and an aptitude to learn and effectively use new and/or proprietary systems and applications is required.
5. Level of confidence to perform tasks with minimal supervision.
6. A quick learner who retains training, builds on experience, and can exercise good situational judgment. Being resourceful and self-motivated is essential for expectations and success.
7. A comfortable multi-tasker who can adjust to changing priorities and respond to time-critical scenarios in a dynamic environment.
8. Demonstrated ability to work effectively at various levels within an organization.

Detail Oriented - Capable of carrying out a given task with all details necessary to get the task done well
Innovative - Consistently introduces new ideas and demonstrates original thinking
Team Player - Works well as a member of a group

Goal Completion - Inspired to perform well by the completion of tasks
Growth Opportunities - Inspired to perform well by the chance to take on more responsibility
Self-Starter - Inspired to perform without outside help
Ability to Make an Impact - Inspired to perform well by the ability to contribute to the success of a project or the organization

Bachelor of Science of Data Analytics (required)