> Markdown version of [/jobs/ext/1918369-data-analytics-specialist](https://www.wearedevelopers.com/jobs/ext/1918369-data-analytics-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analytics Specialist - **Company:** Satair Group - **Location:** Dulles, VA, United States - **Experience:** Experienced - **Salary:** $85,000.0 - $100,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Data Governance, Data Structures, DevOps, Document-Oriented Databases, Python (Programming Language), Information Technology, Data Analytics, Api Design - **Published:** August 4, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/86897591/1 ## About the Role If you want to work as one team embracing a can-do attitude in a demanding environment, then we offer a great place to explore, learn, and grow, making an impact on aviation's digital and sustainable transformation., * Bachelors degree in Engineering, Computer Science, Data Science or related field * 10% Domestic and International Travel involved * Authorized to work in the US * Mindset: Quick learner, passionate, driven to get things done, and collaborative. Must possess a pragmatic, solution-oriented mindset, comfortable with rapid experimentation and iteration. * Leadership/Influence: Ability to lead by example and inspire others to embrace technology and data-driven initiatives, acting as a role model * Collaboration: Must build strong relationships and work closely with cross-functional teams. * Business Acumen: Understanding the intersection of data and business processes, and passion for solving real-world industrial and operational challenges. * Empathy: Ability to understand the unique challenges and concerns of different teams and tailor approaches to address their specific needs regarding technology and analytics adoption * Fluent in English, both spoken and written * Robust coding abilities (Python) * Experience in working with APIs, algorithms, and data structures Preferred Qualifications: * 3-5 years of experience in an analytics, data science, or similar role within a complex business environment. * Experience with DevOps tools / modern cloud stack and practices, Ability to work in the US without current, or future, need of visa sponsorship/work authorization is required for this position. ## Description * Serve as the regional focal point in the US, championing the adoption of analytics and automation tools, fostering awareness, facilitating collaboration, and supporting the organization's transformation towards a data-driven culture. * Act as a coach and advisor to cross-functional teams, guiding them on data quality improvement plans and supporting them in developing their own MVVs and analytics use cases. Business Improvement and Opportunity Identification: 30% * Engage with functional teams to understand end-to-end processes, identify pain points, and uncover opportunities for improvement through data and emerging technologies. * Design and deliver Minimum Viable Products (MVPs) to quickly test, validate, and address critical business challenges. Data Analysis and Insight: 30% * Conduct in-depth data analysis and experimentation to uncover valuable business insights and support data-driven decision-making. * Translate analysis into actionable outcomes by developing automated tools, visual dashboards, reports, or workflows that enhance productivity and business value. Additional Responsibilities: Other duties as assigned: 5% * Defining Data Standards: Formally define and document data standards and governance policies in collaboration with domain experts to ensure consistency and integrity across the organization * Continuous Learning and Research: Stay current on emerging technologies, algorithms, and industry best practices to provide technological insights and ensure the team's capabilities remain state-of-the-art., * Vision: Daily be able to see and read computer screen and other electronic equipment with screens, able to read documents, reports and engineering drawings. * Hearing: Daily able to hear to participate in conversations in person and via teleconference or phone and to hear sounds on production floor including safety warnings or alarms. * Speaking: Daily able to speak in conversations and meetings, deliver information and participate in communications. * Equipment Operation (personal computer, telephone, copies, fax machine, and related office equipment and using electronic identification card to enter building floors and internal doors): Daily able to operate most office and personal electronic equipment. * Carrying: Daily able to carry documents, tools, drawings, electronic equipment up to 30lbs/14kgs. * Lifting: Daily able to lift documents, tools, drawings, electronic equipment up to 30lbs/14kgs. * Pushing / Pulling: Daily able to push and pull small office furniture and some equipment and tools. * Sitting: Daily able to sit for long periods of time in meetings, working on computer. * Squatting / Kneeling: Daily able to squat or kneel to retrieve or replace items stored on low shelving. * Standing: Daily able to stand for discussions in offices or on production floor. * Travel: Twice a year able to travel independently and at short notice. * Walking (include routine walking such as to a shared printer to retrieve documents): Daily able to walk through office and production areas including uneven surfaces. * Personal Protective Equipment required: Required PPE includes, but is not limited to, Safety Shoes, Safety Glasses, Hearing Protection, Respirators/Masks, and/or Protective Gloves as required by site and/or customer site * Administrative position only PPE required: Steel-toed shoes are required for all shop floor visit, appropriate hearing/eye protection may also be required when visiting the shop floor. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)