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Data Graduate

Salary

₹3 - 6 LPA

Min Experience

0 years

Location

London, England, United Kingdom

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

The Opportunity:

Are you looking to jumpstart your career? QiH Group is an award-winning Power Affiliate ranked 15th globally and 4th in the UK. We’re a fast-growing and innovative scale-up business specialising in multi-channel marketing delivering high quality traffic to our partners and a better experience for our customers. We’re on the lookout for a passionate Data Graduate to join our team on our Graduate Scheme and grow alongside our fast-paced, forward-thinking organisation.

The Role

The Business Intelligence team is growing! From day one, you’ll gain hands-on experience, taking on meaningful responsibility, and making a tangible impact. This role is ideal for an analytical thinker with a passion for driving data optimisation and solving complex problems.

Key Responsibilities

  • Data Collection & Validation: You’ll extract data from various systems, verify its accuracy, and apply transformations to make it usable and reliable for our systems.
  • Pipeline Monitoring: You’ll check that our data ingestion pipelines are running correctly and flag any issues, helping maintain the integrity of our data operations.
  • Quality Assurance: Whether it’s checking for anomalies or validating formats, your attention to detail will keep our data trustworthy and actionable.
  • New Data Source Onboarding Support: You’ll assist in testing and validating incoming data from new partners, ensuring our integrations are robust from day one.
  • Dashboard Discovery: You’ll learn how our dashboards are built and maintained, understanding the logic behind the numbers and how they support business decisions.
  • Process Improvement: You’ll help identify and implement ways to streamline and scale our data processes—bringing more automation, speed and accuracy to the team.
  • Documentation: You’ll capture and update business logic, data rules, and key processes to support operational clarity and team knowledge sharing.
  • You will use your natural curiosity to stay up to date with design trends and best practices in order to contribute fresh ideas.

About You:

  • Bachelor’s degree in data science, computer science, mathematics, economics, business, or a related field (or similar qualification).
  • A keen eye for detail and a passion for getting data right—because small errors can make a big difference.
  • Comfortable working with spreadsheets and learning new data tools and platforms.
  • A strong communicator who can work effectively with people across departments.
  • Proactive and inquisitive—you’re not afraid to ask questions and figure things out.
  • Organised and methodical in your approach to tasks and documentation.
  • Excited by the opportunity to work in a fast-paced, data-driven business environment.
  • Last but not least, you’ll have no ego!

What You’ll Get

  • In addition to a competitive salary, quarterly bonus payout and benefits, you’ll also get hands-on real life experience to jumpstart your career
  • Experience of the complete lifecycle of our digital products - from inception to decommissioning
  • Opportunity to work in a growing scale up
  • You'll develop a deep understanding of agile methodologies, user-centric design, and data-driven decision-making, as well as the technical and commercial aspects of product management.
  • Experienced and capable management support, with diverse experience both inside and outside the industry with an average tenure of 5 years
  • We’re growing and regularly hiring for roles across our creative and broader teams, so there are opportunities to progress within the business.

About the company

QiH Group is an award-winning Power Affiliate ranked 15th globally and 4th in the UK. We're a fast-growing and innovative scale-up business specialising in multi-channel marketing delivering high quality traffic to our partners and a better experience for our customers.

Skills

data science
computer science
mathematics
economics
business
spreadsheets
data tools
data platforms