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Lead, Data Visualization & Bi, Microsoft Power BI

Miramar, Florida, United States
December 12, 2018


Lead, Data Visualization & BI

Responsibilities include the design, implementation, and development of reporting and analytics solutions, with particular emphasis on Data Visualizations.

MUST have strong understanding of data visualization and an ability to deliver engaging, informative data stories using a variety of techniques and tools.

MUST be capable of working independently and expected to approach assignments autonomously, coordinating business processes, programs and projects based on the strategies and defined directives, without constant direction.

Responsible for interacting with various departments within company to find, consolidate & manipulate data from multiple large data sets; to analyze and understand results; and to create reports, presentations and/or dashboards.

Required skills/competencies:

5+ years of work experience in data analysis, data mining, business case development or other related analytical projects.

Strong proficiency in query/reporting tools, SQL, Advanced Excel, Tableau ( or similar visualization tool), R/SAS/Python or other statistical tools.

5+ years of work experience required, with experience performing either strategic digital analysis, financial analysis or business intelligence/marketing analytics highly preferred

Experience working with very large data sets (on relational as well as non-relational data stores)

2+ years of Microsoft Power BI experience

Understanding of Forecasting, Data cleansing and Transformations

Dashboards, KPIs

Reporting from Microsoft Azure

Power BI Pro, Embedded Power Bi

Power BI Content packs, templates, integrations, and security

Strong understanding of SQL and DAX

R and R Scripting of visualizations in Power BI

Experience working with databases, including Oracle, SQL Server, and AS400

Ability to work on complex development BI projects including the proactive identification of issues and coordination of resolutions.

Bachelor's degree preferably in Mathematics/Statistics/Computer Science/ Economics /Analytics/Business/Engineering or BS/BA with combination thereof and related analytic work experience/ and or relevant certifications.