Data Analyst

• Collect, clean, and transform large datasets using ETL (Extract, Transform, Load) processes to ensure high-quality data for analysis.
• Design and develop data models and databases utilizing SQL Server, Oracle, or other relational database systems to support reporting needs.
• Create interactive dashboards and visualizations with tools like Tableau, Power BI, Looker, or similar platforms to communicate insights effectively.
• Conduct comprehensive data analysis using R, Python, Excel, and other analytics tools to identify patterns, anomalies, and opportunities.
• Collaborate with business stakeholders to gather requirements and translate them into technical specifications for reports and dashboards.
• Perform software development lifecycle analysis (SDLC) for data projects ensuring best practices in project management and agile methodologies.
• Develop and maintain documentation such as data flow diagrams in Visio or Bash scripts for automation purposes.
• Support technical proficiency across SQL queries, query management, linked data integration, and database design for scalable solutions.

We are seeking a dynamic and detail-oriented Data Analyst to join our innovative team. In this role, you will harness the power of data to drive strategic decision-making, optimize business processes, and deliver impactful insights through advanced analytics and visualization tools. Your expertise will enable stakeholders to understand complex data sets, identify trends, and develop actionable recommendations that support organizational growth. This position offers an exciting opportunity to work with cutting-edge data technologies and contribute to a data-driven culture., * Proven experience working with SQL databases such as Microsoft SQL Server or Oracle in a business intelligence or analytics role.

• Strong proficiency in data visualization tools including Tableau, Power BI, or Looker with a portfolio of dashboards developed.
• Solid understanding of ETL processes, database design principles, and software development lifecycle analysis (SDLC).
• Hands-on experience with programming languages like R and Python for statistical analysis and automation tasks.
• Familiarity with data analytics tools such as VBA, Bash (Unix shell scripting), Talend or similar platforms for data integration.
• Knowledge of business analysis techniques including requirements analysis, dashboard development, and reporting strategies.
• Ability to interpret complex datasets through analysis skills that support business insights and strategic planning.
• Experience working within Agile project management frameworks to deliver timely solutions in fast-paced environments.

Join us if you’re passionate about transforming raw data into meaningful insights! Bring your technical expertise in SQL databases, visualization tools, programming languages, and project management to help shape our organization’s future through innovative analytics solutions.

• 401(k)
• Family leave
• Professional development assistance