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Analyst- Operations Performance

2 weeks ago

Gurgaon, Haryana, India EDGE Executive Search Full time ₹ 1,04,000 - ₹ 1,30,878 per year

The Company

Our client is a global leader in the aviation sector, driving a digital-first transformation powered by cloud technologies, data innovation, and machine learning. With a bold vision to redefine how data empowers smarter decisions, they are building a modern engineering ecosystem that fuels business agility and growth at scale.

At the heart of this journey is a vibrant, inclusive, and forward-thinking technology team that thrives on curiosity, collaboration, and continuous learning. From cloud-native architectures to real-time data pipelines, team members are shaping solutions that impact millions of livesall while working in an environment that values diversity, wellbeing, and career development.

Client's Network Operations team works around the clock running companys global operation, safely, reliably and efficiently. From dispatching and routing our fleet to coordinating with maintenance line planning and crew scheduling, this team makes caring connections with our internal customers and ultimately, company's customers. From pushback to landing, the Network Operations team is the eyes and ears on the ground no matter where in the world your  flight takes you.

The Job

As a Analyst- Operations Performance & Analytics ,who has a passion for data and analytics with the willingness to dig deep into details as well as the ability to assess the big picture. This role will support AO NOC Optimization group in company's headquarters by gathering data, conducting analyses, building and maintaining dashboards, executive reporting and assist in ad-hoc decision support. Excellent time management and communication skills are keys to success in this role as the role requires multi-tasking on several initiatives simultaneously.

Key Responsibilities:

  • Build high-quality dashboards, tools and reports for NOC/AO leadership, eTeam, front-line management, and individual business teams throughout the organization
  • Automate existing manual reports and processes to improve operational throughput
  • Curate tables and views that serve as the "single source of truth" for company's NOC/AO data
  • Build predictive models and analyze results for dissemination of insights to company leadership
  • Prepare presentations for Company leadership and external stakeholders
  • Design meaningful metrics that indicate operational health and inform operational decisions
  • Document the data landscape, maintain an inventory of reports

Your Profile

We are seeking highly motivated Analyst- Operations Performance & Analytics with at least 2+ years of experience who will strengthen our technical capabilities and help us maintain our collaborative, respectful, and inclusive company culture.

Qualifications:

  • Bachelor's degree in a quantitative field like Math, Statistics, Operations Research, Computer Science, Engineering, or related field required
  • At least 2 years of experience in analytics/ reporting required
  • Very strong problem-solving and analytical thinking capabilities with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Understanding of data structures, relationships, and efficient transformations
  • Knowledge and application of data visualization best practices
  • Familiarity with writing complex queries and procedures using both traditional and modern technologies/languages (i.e. SQL, Python, Spark, etc.)
  • Data visualization skills using one or more reporting tools (i.e. Spotfire, Tableau, etc.) to produce meaningful, elegant dashboards
  • Proficient in Microsoft Excel and PowerPoint
  • Ability to learn what a business team does, then design a data/technology solution that connects business processes with quantifiable outcomes

Preferred:

  • Master's Degree in a quantitative field preferred
  • Airline experience or knowledge of airline operations preferred
  • Familiarity with various parts of the data ecosystem (acquisition, engineering, storage, management, analysis, visualization, and deployment) preferred
  • Exposure to statistical and analytical methods preferred