This person will have experience working on complex, enterprise projects
Minimum 5 years of experience in related business analyst or data/reporting analyst roles
Excellent skill level in SQL, PL/SQL
In-depth experience with Microsoft analytics Stack (SQL Server, SSAS Tabular, Power BI, Power Query, DAX, SQL and T-SQL)
Advanced knowledge Power BI
Proficient in DAX, M language
Experience in Extraction, and Transformation and Loading (SSIS)
Experience in Tabular/OLAP Model (Microsoft SSAS)
In-depth experience with Associated Development Tools - DevOps, Visual Studios Data Tools, SQL Server Management Studio, SQL Server Data Tools, Microsoft TFS
Knowledge of working with database client tools such as Toad
Experience with Azure Machine Learning (AML)
Database Design
Excellent skill level in relational database required
Oracle, MS SQL Server knowledge
Proficient in Microsoft Office Suite and O365
Superior documentation and organizational skills
Must be detail oriented
Excellent critical-thinking skills with the ability to research and analyze data retrieved from multiple sources Must possess and demonstrate excellent verbal, written, and interpersonal communications skills
Must be an adaptable self-starter and work with minimal supervision
Must be able to handle multiple projects and organize time effectively
Must be willing to put in extra time and effort if need be
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications
Responsibilities
The Senior Analyst will be responsible for designing holistic Business Intelligence and Analytic solutions, tools, and products
As a Senior Analyst on the team, you will be on the forefront of solutioning, hands-on data discovery, and unifying analytics across the organization
In this role you are expected to be hands-on throughout the life cycle of a solution and engage with other teams, departments, and stakeholders
The Senior Analyst will handle complex projects utilizing multiple tools and technologies to deliver quality products such as ad-hoc data discovery requests, dashboards and scorecards, forecasting models and automated solutions
Build relationships to understand the needs of our customers in a variety of business domains to provide deep insights and business decisions
Provide coaching and guidance on analytical modeling, data science best practices and methodologies to internal teams
Design and develop tools and products that bring advanced analytic methodologies and models to both analytics team and customers. focused on quality and customer experience
Create scalable deliverable solutions such as scorecards and dashboards using Power BI and other data visualization tools for various organizational metrics and KPIs
Perform ad-hoc exploratory analysis
Elicit business requirements from Subject Matter Experts using interviews, document analysis and user story workshops
Perform statistical analysis, build predictive models, and formulate decision models that relate operational activities to results; to drive value stream enhancement and continuous improvement
Understand data standards and identify data abnormalities