Data Analyst - Advana/ Jupiter/ Databricks

• Conduct data analysis to derive actionable insights and recommendations to support the DOW’s contract’s objectives.
• Utilize Tableau to create data visualizations, dashboards, and reports to facilitate decision-making processes.
• Rapidly learn and become proficient in the Advana and Jupiter platforms, collaborating with team members who possess experience in these systems.
• Work with different data sources, ensuring data is accurately collected, transformed, and loaded for analysis.
• Clean and preprocess data to eliminate inconsistencies, errors, and outliers.
• Employ statistical techniques to interpret and validate data trends, patterns, and anomalies.
• Collaborate with cross-functional teams to understand project requirements and deliver insights that support the contract’s objectives.
• Prepare and deliver reports and presentations that effectively communicate analytical findings to non-technical stakeholders.
• Adhere to data security and privacy protocols, ensuring the confidentiality and integrity of sensitive information.

**We are seeking a talented and motivated Data Analytics Analyst to provide critical support to the DOW contract. The successful candidate will play a pivotal role in data analysis and visualization using tools, while also acquiring expertise in Advana and Jupiter platforms. Databricks experience is required., + Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.

• Proven experience with data analysis and visualization tools.
• Willingness to learn and adapt to new technologies, including Advana and Jupiter platforms.
• Strong analytical skills, attention to detail, and the ability to draw meaningful conclusions from data.
• Databricks proficiency.
• Proficiency in data cleaning, transformation, and statistical analysis.
• Excellent communication and presentation skills to convey complex data insights to non-technical stakeholders.
• Ability to work collaboratively in a team-oriented environment.
• Strong problem-solving skills and a proactive approach to identifying and addressing data-related challenges.

Education: Bachelor’s Degree from accredited college or university in Accounting, Finance, Computer Science, Engineering, Mathematics, or Information Systems. Must be eligible to receive a US DOW clearance.

• Competitive compensation and comprehensive benefits, including medical, dental, and vision coverage
• Flexible time off
• Professional development opportunities
• Company perks such as flex spending, wellness initiatives, etc.
• 401(K) matching