As a Data Analyst you will:
- Develop and implement data management plans policies and practices to control protect and optimize the value of data assets.
- Devise and implement master data management processes for specific subsets of data ensuring consistency and quality.
- Assess the integrity of data from multiple sources and provide advice on transforming data from one format to another.
- Design code verify test and refactor moderately complex programs or scripts adhering to agreedupon standards and tools.
- Investigate enterprise data requirements and plan data modelling and design activities with a focus on meeting assigned objectives.
- Create and maintain data pipelines that connect data within and between applications stores and organizations ensuring seamless data flow.
What You Bring to the Table:
- A minimum of 2 years of postrelated experience in data analysis data science or a similar role.
- Proficiency in at least one programming language such as Python R or C#.
- Experience with data visualization tools such as Power BI Grafana or R Shiny to create clear impactful visuals.
- Handson experience with SQL and relational databases such as SQL Server enabling efficient data querying and management.
- Strong understanding of data science techniques and methodologies along with the ability to select acquire and integrate data for comprehensive analysis.
- Proven track record in business intelligence reporting and analysis to aid decisionmaking and optimize operational processes.
- Security clearance required to handle sensitive and classified data responsibly.
You Should Possess the Ability to:
- Apply a range of data science techniques and specialized programming languages to solve complex problems.
- Design implement and maintain complex data engineering solutions including creating and maintaining data pipelines.
- Collaborate with stakeholders to evaluate design options obtain feedback and ensure user experience aligns with operational needs.
- Use nonstandard business intelligence tools to provide insights and streamline data handling processes.
- Apply a variety of data visualization techniques to design the content and appearance of data visuals efficiently.
- Analyze evaluation data and make informed recommendations for user research and interface improvements.
What We Bring to the Table:
- Opportunities to engage with advanced data science analytics and engineering challenges helping to shape the future of data management.
- Access to cuttingedge tools and technologies including Power BI SQL Server and Python for your data visualization and programming needs.
- A collaborative work environment focused on continuous learning and skill development.
- The opportunity to contribute to meaningful projects where your work directly impacts decisionmaking and business operations.