About The Position

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.

Requirements

  • 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.
  • 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.
  • Candidates must be willing to travel approx. <25% within the continental United States of America.
  • ACTIVE DOW Security Clearance Required

Responsibilities

  • 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.

Benefits

  • 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
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