Allwyn UK

Senior Data Analyst

Allwyn UK

full-time

Posted on:

Location Type: Hybrid

Location: Watford • 🇬🇧 United Kingdom

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Job Level

Senior

Tech Stack

ETLPythonSQLTableau

About the role

  • Analysing and profiling data to identify data quality issues and inconsistencies.
  • Working closely with the BI Business Analyst to ensure warehouse data meets reporting needs.
  • Developing and maintaining data mappings and transformations to support ETL processes.
  • Designing and maintaining DWH Data models and specific reporting layer technologies.
  • Creating reports, dashboards and data visualizations to meet business needs.
  • Supporting data-driven approaches to customer interaction and business design.
  • Assisting the Automation team with relevant automation parameters.
  • Analysing assigned tasks to estimate the level of effort needed.
  • Creating and maintaining data dictionaries and metadata documentation.
  • Collaborating with BI and other teams to integrate data into the warehouse.
  • Optimizing ETL processes and data workflows with teams.
  • Staying updated with data warehousing and analytics trends.
  • Conducting peer reviews and synchronizing with engineering and reporting teams.
  • Implementing data governance best practices, ensuring data quality and integrity.
  • Monitoring and analysing data warehouse performance.

Requirements

  • Strong SQL skills for data querying and analysis.
  • Proficiency in data visualization tools (e.g., Tableau, Power BI).
  • Knowledge of data modeling concepts and ETL processes.
  • Familiarity with data warehouse technologies and databases.
  • Data Modeling: Strong knowledge of schema design, dimensional modeling, and normalization best practices.
  • Attention to detail and strong analytical skills.
  • Effective communication and collaboration skills.
  • Problem-solving abilities to resolve data-related issues.
  • Understanding of data quality and data governance principles.
  • Basic knowledge of programming languages (e.g., Python) may be beneficial.
  • Excellent communication skills to translate complex data requirements into actionable insights.
  • Proven ability to collaborate effectively with cross-functional stakeholders (Product, Analytics, Reporting, BI, etc.).
  • Experience managing multiple data initiatives simultaneously, prioritizing tasks, and meeting deadlines.
  • Proven track record in accurately estimating tasks effort.
  • Strong analytical capability to identify resolutions to issues raised.
  • Bachelor's degree in computer science, information technology, or a related field (or equivalent work experience).
  • Certification in relevant data analysis or reporting tools is advantageous.
  • Knowledge of Betting and Gaming (Lottery) domain is preferred.
  • Prior experience working with large-scale data environments in a fast-paced or startup-like setting is a plus.
Benefits
  • Company bonus scheme
  • Matched pension contributions up to 8.5%
  • 26 days annual leave + 2 Life Days (and bank holidays)
  • Complimentary Private Medical
  • Life Assurance
  • Enhanced Maternity & Paternity leave
  • £500 wellness allowance
  • Access to nutritional advisor and personal trainers
  • Discounted Health Assessments
  • Complimentary Financial coaching

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLdata visualizationETL processesdata modelingschema designdimensional modelingnormalizationdata governancedata qualityPython
Soft skills
analytical skillsattention to detaileffective communicationcollaborationproblem-solvingtask prioritizationtime managementcross-functional collaborationpeer reviewdata-driven decision making
Certifications
data analysis certificationreporting tools certification