Data Analyst

Responsibilities:

• Research and develop data and statistical models for analysis.
• Analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses.
• Collaborate with client to understand and recommend activities related to Analytics.
• Analyze data, data sets and create data sets.
• Analyze broad data sets and provides actionable insights to better inform business decisions.
• Develop and document overall data sourcing, data transformation and semantic layer designs.
• Develop ETL data flows between data sources as required to create data sets and perform analysis.
• Integrates and prepares large, varied datasets for analysis. Identify and assess data attributes using statistical software packages in order to develop recommendations and analytical processes based on mission requirements.
• Researches, develops, implements and utilizes statistical methods and strategies to address tactical and strategic problem sets, while working with a technical team.
• Interprets and analyzes data collected from a variety of sources using exploratory and statistical techniques, validating findings using an experimental and iterative approach.

Requirements:

• At least 5 years related experience in business intelligence and analytics performing increasingly complex data analysis and report/dashboard development.
• Must have at least 5-8 years of related experience data modeling, report/dashboard development using Power BI and other business intelligence tools.
• Proficiency querying PaaS data sources including Salesforce and D365/Azure environments.
• Experience working with unstructured, structured data including CSV, XML, SQL.
• Proven ability to analyze data sets, identify patterns and draw insights.
• Ability to clearly communicate both verbally and in writing with client and team members. This will include experience documenting and presenting findings.
• Excellent analytical skills, organizational abilities and problem-solving skills.
• Self-starter who works efficiently in a fast-paced environment with changing priorities.
• Must be able to obtain and maintain public trust clearance.

Key Skills:

• Data cleaning and preparation.
• Data analysis and exploration.
• Statistical knowledge.
• Creating data visualizations.
• Creating dashboards and reports.
• Writing and communication.
• Domain knowledge.