CAREER

Data Quality Analyst

HL Tech is a modern technology centre supporting software development and strategic digital transformation of the British financial market giant, Hargreaves Lansdown. Hargreaves Lansdown is the UK’s number one platform for private investors, looking after £132.3 billion of savings and investments on behalf of over 1.7 million clients.

HL Tech was founded in July 2017 in Warsaw and currently employs 80 of the best IT experts in their field, who focus on clean code, autonomy in projects, customer needs, best practices and good design. At HL Tech, we create a space for innovation and development based on the culture of knowledge sharing, constant learning, feedback and friendly atmosphere.

As the Data Quality Analyst, you will support and contribute to the continuous evolution of the data quality lifecycle practices. This includes capturing metadata and managing data aligned with the Data Quality lifecycle (origination, definition, lineage, ownership and any associated business rules), working with Senior Data Quality Analysts in the assessments and build of rules, catalogues and definitions established through direct engagement with the business to deliver robust data quality management.

We are looking for you to operate in a hybrid way of working with at least two days in the office each week and the rest remotely, our office is located in Warsaw Spire. However, all work must be performed within Poland, and remote work from abroad is not available.

We encourage employees to participate in company events (team meetings, conferences, integration activities, etc) at least once per quarter/half year.

General information

  • Possible work locations:
    remote/hybrid/office (Warsaw Spire)
  • Salary gross (CoE):
    12 000 – 16 000 PLN
  • Employment type:
    permanent contract
  • Company size:
    80 people
  • Operating system:
    Windows
  • Computer:
    Notebook
  • Monitors:
    24" x 2
  • Mobile phone:
    Yes

Key Responsibilities

  • Evaluate data elements to identify and ensure all potential risks (financial, people, regulatory and operational) are managed and mitigated effectively through escalation points
  • Accurate Data Profiling, observation reports will be generated and made available to data owners, working collaboratively with Senior Data Quality Analysts.
  • Assessment and acquisition of metadata onto the HL Data Management tool ensuring accuracy and appropriate steps to ensure quality including peer review
  • Profiling large datasets using the HL Data Management tool to determine data quality and integrity
  • Develop and maintain data management dashboards working with wider team to generate ideas and that generate visibility of Data Quality across the dimensions
  • Investigate data quality issues to identify the size, scale and potential impact to the business
  • Formulate and provide recommendations to the Senior Data Quality Analysts and wider data management team, regarding data quality outcomes
  • Evaluate and present Data Management enterprise coverage against key metrics to Data Owners

Recruitment process steps

1. Contact by telephone

2. Technical interview and meeting the HR team (online)

Any questions? Feel free to contact me!

Alina Yanchenko

IT Recruiter
alina.yanchenko@hltech.com

Requirements

Must have:

  • Proficiency in SQL & Strong analytical skills
  • Experience with Databases and Data Warehouses
  • Awareness of data privacy and data risk
  • Advanced Problem Solving Skills
  • Excellent interpersonal and communication skills
  • Very good command of Polish & English

Nice to have:

  • Experience with Data Management
  • Experience with Data Governance and Data Quality Technology
  • Experience with data quality and information management life cycles
  • Knowledge of Financial Services, Investment Management and associated regulation

Benefits

  • Copy rights (50% tax relief due to creative type of work)
  • PPE (4% employer contribution without any additional cost nor employee contributions required)
  • Annual bonus depending on performance
  • Conference & Training budget
  • English lessons with native speakers
  • Private health care & Life insurance
  • MyBenefit Cafeteria (benefits platform)
  • 2 additional days for volunteering events
  • Team events
  • Buddy programme
  • Opportunity to grow according to your level of expertise
  • Working with new technologies and a multi-diverse team
  • Many opportunities to share knowledge and ideas
  • In-house Trainings

Read more about our benefits