Hi BusinessPartners,
Hope you are doing great!
Please find below mentioned job description and revert back with the updated resume to lucky@itstrategiesinc.com
Job Title: Business Intelligence with QA
Location: Devon, PA
Duration: 3- 6 Months
Please only submit candidates from the following areas. PA, NJ, DE, VA, NY.
Interview: 1.) Phone 2). Face to Face Interview on site. (No Video)
Duties:
· Review requirements and design documents with developers and quality assurance manager to confirm expected functionality with technical and business needs.
· Implementation, evaluation, and documentation of the developed test cases and scenarios.
· Determine test environment and test data requirements, often in concert with integrated systems' owners.
· Must be able to communicate with leads regarding project readiness, status and potential risks.
· Document, quantify, and elevate risks as appropriate.
· Provide statistical reporting and analysis as necessary.
· Assimilates information quickly, communicates complex requirements and issues clearly and concisely.
· Able to analyze root cause of a problem and demonstrate good sense when handing the problem over to development.
· Tracks and coordinates defect resolution and retesting, quantifying and mitigating risk accordingly.
· Enthusiastically collaborates with business partners to ensure Mission and Core Values are fulfilled.
Skills:
· Knowledge of data mining, statistical analysis or healthcare data analytics.
· Experience working with development team from the initial development of business requirements, through all the Agile/Scrum steps and providing on-going maintenance and support.
· Experience with Informatica Power Center, Tableau, Cognos, Anaplan
· Knowledge of Software testing processes and automated tools, with an ability to apply software testing methods and techniques in a business intelligence environment.
· Provide staff mentoring and guidance to foster a strong team atmosphere with an eye to customer service.
· Excellent critical thinking, negotiation and problem solving skills.
· Strong experience in writing SQL statements (DML/ DDL)
· Knowledge of relational databases - can navigate and extract data
· Prior working knowledge and validation of IBM Unified Data Modelfor Healthcare
· Ability to effectively and professionally communicate, both orally and in writing, while also articulating and translating technical language to non-technical customers.
· Capable of influencing at all levels across the company within span of control.
· Exemplifies teamwork and serves as role model, while also successfully facilitating collaboration across multiple functions, departments and levels.
· Unquestionable ethics & integrity is pertinent.
· Track record of consistently driving projects to completion and taking accountability for work and results, as well as confronting tough issues and situations.
· Demonstrates and promotes creativity and innovation.
· Proactively seeks out alternative solutions to business problems.
· Consults with clients and teammates to identify all facets of an issue and generate a solution.
· Understands potential impacts to processes and systems across organization and factors these into solution
Education:
· Participate in discovery meetings, provide estimates, analyze and validate project requirements and technical specifications, perform impact analysis and document key issues.
· Develop the testing strategy and manage the testing effort.
· Evaluate data changes and anomalies against previous tends; and provide guidance to resolve variances.
· Conduct peer reviews of other analysts' work to assure testing meets specifications.
· Resolve issues and develop benchmarks for testing data and provide metrics reporting on test execution and defects.
· Participate in testing including Functional Testing, Results validation, Regression Testing, System, Integration Testing, Automated Testing and User Acceptance Testing.
· Communicate with data warehouse team (business analysts, data modelers and developers) regarding status, issues and risks on a timely basis. Identify, mitigate and drive project issues and risks to resolution.
· Analyze data trends, draw conclusions and recommend direction.
· Develop algorithms for capturing data changes and trends to facilitate continuous monitoring of data quality.
· Establish validation benchmarks and automated processes for data quality improvements for the weekly/monthly validations and data quality checks to ensure data is accurate for analytics. Develop trending reports and data quality metrics for reporting.
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