Senior Data and Business Intelligence

This position provides strategic, analytical, and technical support for data and business intelligence activities. This position leverages data to gain key insight into business opportunities, and effectively presents these insights to business stakeholders. This position participates in the creation, distribution, and delivery of analytics reports, tables, graphs, and communication materials that effectively summarize findings and support recommendations.

Primary Skills (must have):
Strong hands on experience Data Warehouse
Strong hands on experience building Data Lakes
Semantic Model Development (Dimensional, Tabulal), SSAS, AAS, LookML
Strong dashboarding skills - PowerBI (preferred) / Tableau
Hands on experience in SQL, DAX, Python, R
Google Cloud Platform DevOps(CI/CD)
Strong analytical skills and attention to detail
Proven ability to quickly learn new applications, processes, and procedures.
Able and willing to collaborate in a team environment and exercise independent judgement.
Excellent verbal and written communication skills.
Ability to form good partner relationships across functions.

Secondary skills:
Databricks, Azure Data Factory
Agile experience (SAFe/Scrum/Kanban/Lean Agile environment)

Responsibilities
Designs, develops, and maintains reports and analytical tools and performs ongoing data quality monitoring and refinement.
Identifies and analyzes errors and inconsistencies in the data and provides timely resolutions.
Translates data results into written reports, tables, graphs, and charts to convey information to management and clients.
Creates ad hoc reports and views on a frequent basis to assist management in understanding, researching, and analyzing issues.
Uses data mining to extract information from data sets and identify correlations and patterns.
Organizes and transforms information into comprehensible structures.
Uses data to predict trends in the customer base and consumer populations and performs statistical analysis of data.
Identifies and recommends new ways to support budgets by streamlining business processes.

Preferences:
Bachelors Degree (or internationally comparable degree) - Business/Economics, Computer Science, Engineering, Marketing, MIS, Mathematics, or related discipline.
Experience with data warehousing, data science software, or similar analytics/business intelligence systems.