Akira Technologies is seeking a highly skilled Data Analyst to join our team for a critical project supporting the United States Army. As a key member of our team, you will be responsible for designing and implementing data analytics solutions that support the Army's mission-critical systems and applications. This position offers a unique opportunity to contribute to national defense while working with cutting-edge cloud technologies in a dynamic and collaborative environment. 

This role is mostly remote with occasional onsite presence in the DC Metro Area.

Job Responsibilities:

• Data Analysis: Design and implement data analytics solutions to analyze large and complex datasets, extracting actionable insights to address Army operational challenges and objectives. 
• Data Engineering: Develop and maintain data pipelines and ETL processes to ingest, transform, and prepare data for analysis, ensuring data quality, integrity, and accessibility. 
• Statistical Modeling: Apply statistical and machine learning techniques to analyze data and develop predictive models that support forecasting, optimization, and decision-making processes. 
• Data Visualization: Design and develop interactive dashboards and visualizations to communicate analytical findings and insights to stakeholders, enabling data-driven decision-making at all levels of the organization. 
• Technical Leadership: Provide technical leadership and guidance on analytics best practices, tools, and methodologies, mentoring junior engineers and collaborating with cross-functional teams to drive innovation and excellence in data analytics. 
• Collaboration: Collaborate with data scientists, business analysts, and subject matter experts to understand requirements, define analytics use cases, and translate business needs into actionable analytics solutions. 
• Continuous Improvement: Stay updated on emerging trends and technologies in data analytics, actively participating in research and development initiatives to enhance team capabilities and stay ahead of the curve.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; Master's degree or PhD preferred. 
• Minimum of 10 years of experience in data analytics, with a strong proficiency in data analysis, statistical modeling, and programming languages such as Python or R. 
• Expertise in data engineering concepts and tools, including data modeling, ETL processes, and data warehousing. 
• Solid understanding of statistical and machine learning techniques, with hands-on experience in applying algorithms to real-world datasets. 
• Proficiency in data visualization tools such as Tableau, Power BI, or D3.js, with the ability to create compelling visualizations that effectively communicate analytical findings. 
• Strong analytical and problem-solving skills, with the ability to analyze complex datasets, identify patterns and trends, and extract actionable insights. 
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with team members and stakeholders at all levels of the organization.

About Akira Technologies:

Akira strives to meet and exceed the mission and objectives of US federal agencies. As a leading small business cloud modernization and data analytics services provider, we deliver trusted and highly differentiated solutions and technologies that serve the needs of our customers and citizens. Akira serves as a valued partner to essential government agencies across the intelligence, cyber, defense, civilian, and health markets. Every day, our employees deliver transformational outcomes, solving the most daunting challenges facing our customers.

Akira is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.