Business Intelligence Associate-Direct Hire - Tampa, Fl ($100K)

Business Intelligence Associate-Direct Hire - Tampa, Fl ($100K)

Vaco Technology

Business Intelligence Associate-Direct Hire - Tampa, Fl ($100K)

Details of the offer

Vaco Tampa is hiring!
This is a direct-hire role for a client in Tampa.
The ideal candidate will have experience with PowerBI, Data Modeling, and Analytics.
Key Responsibilities:
Play a key role in cross-functional reporting and analytics efforts across multiple organizational units and key initiatives.
Work independently across the organization to generate data-driven business solutions based on required or identified opportunities.
Assemble and summarize data, make presentations of findings, and provide recommendations to support senior management decision making.
Conduct trending, forecasting, predictive modeling to identify patterns and get to the root causes.
Identify reporting needs and create/improve daily, weekly and monthly reports.
Develop and maintain reports and metrics to track employee performance management.
Document and update existing standard operating procedures, process maps and org charts.
Standardize cross-departmental data definitions, KPIs, and calculations.
Share knowledge, expertise and best practices with new and existing analysts throughout the institution.
Demonstrates knowledge of, and carefully follows all applicable federal and state compliance requirements and regulations including those prescribed by the Department of Education, accrediting agencies, CIE, and internal UMA policies and procedures.
Effectively communicates compliance requirements to students and other staff as appropriate and quickly escalates any compliance concerns to the Compliance department.
Work Experience, Skills & Abilities:
Minimum Requirements:
Minimum Bachelor's degree in Business, Economics, Math, Statistics or Finance.
Minimum of 5 years' experience in Business Intelligence/Analytics.
A proven track record for developing, implementing and monitoring statistical models (e.g. regression, decision trees, time series analysis, classification, sensitivity analysis, etc.).
Experience using statistical and data mining languages (i.e. t-SQL, PL/SQL, Python, R, SAS).
Highly proficient with visualization platforms (e.g. PowerBI, SSRS) and ability to extract insight and provide recommendations to senior leadership.
Excellent written and verbal communication skills, able to communicate professionally in both verbal and written English.
Able to communicate effectively and persuasively with senior management.
Proactive and analytical thinker who can intelligently challenge the status quo and propose data-driven solutions.
Able to use predictive modeling techniques to optimize resource allocation and help improve successful student outcomes.
Interest in understanding business opportunities and independently execute predefined or created roadmap with minimal supervision.
Able to develop and implement operational models and A/B testing techniques.
Understands organizational levers to develop departmental budgets and targets for predefined periods of time.
Capable of writing complex SQL logic along with the proper level of documentation as required for reporting and compliance requests.
Enthusiasm for understanding and deriving actionable insights from data generated in a dynamic business environment.
Proficient in MS Office (Word, Excel, PowerPoint) and other business tools such as Skype and Microsoft Teams.
Able to support a diverse and inclusive work environment.
Preferred Requirements:
MBA or Master's degree in Finance, Computer Science, Computer Information Systems, Statistics, or Analytics.
Great attention to detail to fulfill regulatory requests subject to the highest degree of integrity and accuracy.
Comfortable working across functional teams and various leadership levels to build relationships with a goal-oriented mindset.
Streamline algorithms and automate the modeling production process along with adjacent KPIs that reflect the model's credibility.
Experience or interest in the Education or Education Management industries.

Source: Dice




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