We are seeking a highly skilled and experienced Data Analytics Manager to lead our data analytics team in developing and implementing data-driven solutions to drive business growth and inform strategic decision-making. The successful candidate will have a strong background in data analysis, data visualization, and data storytelling, as well as excellent leadership and communication skills. As a key member of our leadership team, youll oversee the development of mission-critical data analysis solutions for Next Generation Electronic Warfare Systems Products and Solutions. If youre a Data Analytics Manager or seasoned Data Analytics Engineer with 6+ years’ experience and a passion for leading high-performing teams and upholding the principles of transparency, accountability, and posterity, we want to hear from you!

Responsibilities:

• Develop and execute data analytics strategies to drive business outcomes and inform strategic decision-making

• Lead a team of data analysts and data scientists in designing, developing, deploying, and sustaining data analytics solutions

• Collaborate with cross-functional teams, including business stakeholders, product managers, and engineers, to identify business needs, create clear problem definitions, and develop data-driven solutions

• Lead a team to design and implement data visualizations and reports to communicate insights and trends to stakeholders

• Develop and maintain relationships with data stakeholders, including data providers, data consumers, and external partners

• Stay up-to-date with industry trends and emerging technologies in data analytics and make recommendations for adoption

• Manage and optimize data analytics workflows, including data ingestion, processing, and storage

• Ensure data quality, integrity, and compliance with organizational data policies and procedures

• Mentor and develop team members to achieve their full potential and advance in their careers

• Manage projects, including budgeting, resource allocation, and timeline management

• Ensure compliance with industry standards, regulatory requirements, and company policies

• Foster a culture of transparency, ensuring that all team members have visibility into project goals, objectives, and outcomes

• Promote accountability, holding team members responsible for their actions and decisions

• Ensure that all development activities are properly documented and archived, upholding the principle of posterity

• Cultivating creative problem-solving skills, promoting experimentation, and exploring novel approaches to address complex challenges

• Education: Bachelor's Degree in Computer Science, Statistics, Mathematics, or related field

• Experience: 6+ years of data analytics, data science, or related field

• Proven experience in leading a team of data analysts and data scientists

• Strong technical skills in data analysis, data visualization, and data storytelling

• Proficiency in programming languages, such as Python or JavaScript

• Strong understanding of data management principles, including data governance, data quality, data security, and data literacy

Preferred Skills:

Experience with:

• Experience with machine learning, deep learning, or natural language processing

• Certification in data analytics, data science, or related field (e.g., Certified Data Scientist, Certified Analytics Professional)
• Experience with data visualization tools, such as Tableau, Power BI, or Metabase

• Excellent communication and leadership skills

• Ability to work in a fast-paced environment and adapt to changing priorities

• Ability to motivate and inspire team members to achieve high-performance results

• Strong strategic thinking and problem-solving skills

Leadership Expectations:

• Develop and execute a vision for the data analytics team that aligns with company goals and objectives

• Foster a culture of innovation, collaboration, and continuous improvement

• Build and maintain strong relationships with stakeholders, including engineering teams, product managers, and customers

• Drive technical excellence and ensure high-quality products and solutions

• Uphold the principles of transparency, accountability, and posterity in all aspects of software development and team management