RQ07797 - Data Analytical SpecialistScientist Senior

Deliverables:

• Design prototypes of business intelligence solutions (dashboards and reports)
  
• Undertake special assignments/subprojects as assigned.
  
• Assess evaluate and document stakeholder interests.
  
• Conduct business requirement sessions and document options and outcomes.
  
• Prepare and document data analysis findings and data dictionaries.
  
• Participate in problem analysis and identify opportunities where business intelligence and advanced analytics can be used to support project and/or program objectives.
  
• Serve as a data analytics subject matter expert on interdisciplinary project teams and/or as an adhoc advisor to deliver data analytics expertise and advice.
  
• Conduct periodic reviews of developed analytical solutions to identify opportunities for enhancements or evolution.
  
• Research prepare and document issues related to data collection and reporting requirements.
  
• Plan prepare and deliver demo and training sessions on new Business Intelligence dashboards and reports to all levels of user community.
  
• Ensure alignment and adherence to IT processes and standards.
  
• Participate in development and UAT testing and document results.
  
• Participate in Knowledge transfer.
  

Requirements

Experience and Skill Set Requirements:

Must Haves:

• Ability to examine understand and present requirements data and information in a cohesive manner using various tools including TOAD SQL Server Management Studio Visio PowerPoint Miro Mermaid.js Excel
  
• Ability to Lead and advise on data compatibility and recommend solutions.
  
• Superior knowledge of the Microsoft 365 Office suite and Microsoft Azure ecosystem
  
• Experience in database transition to work between platforms and manage multiple stages of projects from initiation to testing to delivery
  
• Ability to liaise and provide reporting information assessment and data interpretation to others
  

Skill Set Requirements:

Mandatory Requirements:

• Ability to examine understand and present requirements data and information in a cohesive manner using various tools including TOAD SQL Server Management Studio Visio Powerpoint Miro Mermaid.js Excel
  
• Ability to Lead and advise on data compatibility and recommend solutions.
  
• Superior knowledge of the Microsoft 365 Office suite and Microsoft Azure ecosystem
  
• Experience in database transition to work between platforms and manage multiple stages of projects from initiation to testing to delivery
  
• Ability to liaise and provide reporting information assessment and data interpretation to others
  

Skills and Knowledge:

• Proven experience as a Data Analyst in building Business Intelligence reports and dashboards
  
• Proven experience in understanding capturing and analyzing complex and sometimes competing business requirements to develop Power BI and Business Intelligence products
  
• Demonstrated experience with Power BI SQL Query and/or other data query tools
  
• Demonstrated knowledge and experience of Microsoft Power BI service
  
• Proven demonstratable experience in data visualization; working with BI implementation methodologies
  
• Knowledge of data analysis data management
  
• Proven ability to partner with internal/external stakeholders and liaise with technical experts and nontechnical colleagues
  
• Excellent verbal and written communication skills interpersonal and facilitation skills
  
• Strong written presentation and interpersonal communication skills with special attention to correct use of tense grammar/spelling and terminology
  
• Demonstrated effective time management and organizational skills including the ability to plan and prioritize workload ensuring timelines are met and respond to demands of a dynamic environment
  
• Mandatory Requirements: At least 5 years of experience
  
• All roles procured are required to be cleared through the Contractor Security Clearance Process of the OPS.
  
• Security Clearance process levels roles etc. are subject to change without prior notice. Candidates may be required to undergo revised/new process (or levels) any time prior or during the term of the contract.
  

Technical Skills:

• Experience in Business Intelligence Reporting: Demonstrated ability to construct comprehensive BI reports and dashboards reflecting expertise in data visualization and interpretation.
  
• Proficiency in Power BI: Proven skills in utilizing Power BI for data analysis and report creation including familiarity with advanced features and functionalities.
  
• Expertise in SQL and Data Query Tools: Demonstrated experience in SQL querying and the use of various data query tools for data extraction transformation and loading (ETL) processes.
  
• Knowledge of Microsoft Power BI Service: Indepth understanding and practical experience with Microsoft Power BI Service including its integration and customization.
  
• Data Visualization Skills: Proven capability in creating effective and insightful data visualizations utilizing various tools and techniques.
  
• BI Implementation Methodologies: Familiarity with different Business Intelligence implementation methodologies and their practical application in realworld scenarios.
  
• Data Analysis and Management Knowledge: Comprehensive understanding of data analysis principles and data management practices including data quality and governance.
  
• Advanced Analytical Techniques: Demonstrated experience in applying advanced analytical techniques such as machine learning predictive analytics and statistical analysis to derive actionable insights from large datasets.
  
• Experience with Data Cleansing and Preprocessing: Proven skills in data cleansing and preprocessing including handling missing data anomaly detection and normalization to ensure data quality and reliability for analysis.
  
• Proficiency in Data Analytics Tools: Expertise in using data analytics tools such as Python (Pandas NumPy SciPy) R or SAS for complex data manipulation and analysis.
  
• Data Interpretation and Insight Generation: Strong ability to interpret data identify trends and patterns and generate meaningful insights that support business decisionmaking.
  
• Experience with Data Mining Techniques: Proficiency in data mining techniques and methodologies including clustering classification regression and association rules to extract valuable information from large datasets.
  
• Experience in Data Warehousing: Understanding of data warehousing concepts and experience in working with data warehouse technologies.
  
• Knowledge of Data Integration Techniques: Skills in integrating data from various sources and formats for comprehensive analysis.
  

Documentation Collaboration & Communication Skills:

• Clarity in Complex Business Challenges: Ability to bring clarity to complex business issues and articulate business process requirements versus technology solutions effectively.
  
• Excellent Verbal and Written Communication: Demonstrated excellence in both verbal and written communication including the ability to convey complex data concepts in understandable terms.
  
• Interpersonal and Facilitation Skills: Strong interpersonal skills with an ability to facilitate discussions and consensus among diverse groups.
  
• Effective Documentation Skills: Proficiency in creating clear and detailed documentation including reports guides and process maps.
  
• Collaboration with Internal/External Stakeholders: Demonstrated ability to effectively partner with both internal and external stakeholders fostering productive relationships.
  
• Teamwork and CrossFunctional Collaboration: Experience in working collaboratively in crossfunctional teams contributing to a cohesive team environment.
  
• Presentation Skills: Strong presentation skills capable of delivering insights and findings to both technical and nontechnical audiences.
  
• Conflict Resolution and Negotiation Skills: Ability to resolve conflicts and negotiate effectively maintaining a focus on business objectives.
  
• Time Management and Organizational Skills: Demonstrated effective time management skills with the ability to prioritize tasks and meet deadlines in a dynamic environment.
  
• Adaptability and Flexibility: Ability to adapt to changing business needs and technology landscapes maintaining effectiveness in varying environments.
  
• Stakeholder Management: Experience in managing stakeholder expectations and maintaining open lines of communication throughout project lifecycles.
  
• Critical Thinking and ProblemSolving: Strong critical thinking skills with an ability to analyze problems identify root causes and develop innovative solutions.