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Lead DataOps Analyst


Data Science and Engineering
India - Bangalore Sales Office

Lead DataOps Analyst

Data & Analytics at Dyson

Data and analytics excellence at Dyson is delivered by a diverse and collaborative global community, at the heart of that community is a hub team that enables all others: In Dyson’s Analytics Platform team, there has been significant investment into cloud technologies and tools; combined with an expansive scope and no shortage of ambition and momentum, Dyson Data Analytics Platform team is recognized throughout the organization to the highest level as critical to all of Dyson's strategic objectives.

With a ‘one-team’ approach, the global community is on a mission to:

  • Evolve existing solutions to stay ahead.
  • Embed emerging solutions to capitalize on potential benefits.
  • Deliver conceptualized & future solutions to introduce net-new capability.

The Team

As the Analytics Platform delivering the data, technology and community provision enabling Dyson’s global data and analytics capabilities, Dyson Analytics Platform team have end-to-end responsibility for the management of data platforms and integrations, enable our development and analytics teams to drive continuous features and capabilities for our customers, partners, and employees.

Dyson Analytics platform team is a multi-disciplinary, global team providing round-the-clock development and operations - including platform architecture, engineering, management, DataOps, governance, and advance analytics expertise.

Involved with every aspect of Dyson’s global business - from finance to product development, manufacturing to owner experience – the team is seeking to deliver solutions generating impressive and tangible business value.

About the role:

  • Collect and analyze large sets of data to identify patterns and trends that can inform business decisions.
  • Collaborate with other teams to identify business problems and develop solutions that leverage data.
  • Communicate insights and recommendations to stakeholders from data platform operations perspective.
  • Evaluate business processes and identify areas for improvement through data analysis.
  • Gather function and non-functional requirements for data platform and operations, able to maintain user stories, use case development, process flow etc., Identify gaps, perform impact analysis, present problem statements, business case study, and ensure appropriate solution are brought to fruition and are closed properly.
  • Monitor data quality and integrity and identify data lineage and resolve data inconsistencies.
  • In collaboration with Project manager contributes to identify different tracks of work, prioritization of tracks of work and helps to resolve client requirement questions.
  • Understand the business functions within the operating model for data and analytics. But not limited to applications/tool & technologies.
  • Deliver insights on potential areas of growth, optimization, and improvements.
  • Work cross-departmentally on data-driven strategies that improve business processes and decision-making.
  • Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications and collaborate for implementation.
  • Works to discover analyze and document client business requirements and translating those needs into solution definitions / Functional requirements.

About you:

  • Bachelor's degree in a related field (e.g., Business, Mathematics, Statistics, Computer Science)
  • Strong analytical skills and experience with data analysis tools such as SQL, Python, or R
  • Knowledge of statistical concepts and techniques
  • Excellent communication skills and the ability to present complex data in an easily understandable way.
  • Strong problem-solving skills and attention to detail
  • Experience working with business stakeholders to identify requirements and develop solutions that meet their needs.
  • Is effective working with local, remote, global team members in global time-zones
  • Creates/reviews UAT strategy. Supports client in UAT Sign off. Review test plan and test cases for UAT.
  • Identifies, tracks, follows up and resolves project issues and risks and communicates to the Project lead and team.
  • Understand the way data is available in the existing data sources and determine how data is to be transformed and ready for being ingested into the target system.
  • Responsible to evaluate business processes, anticipating requirements, uncovering areas for improvement, and developing and implementing solutions.
  • Overall, a Business Analyst in Data Analytics plays a critical role in helping organizations leverage their data to make informed decisions and drive business success.

Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.