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Data Analyst

2 months ago


Solihull, Solihull, United Kingdom SG Fleet Full time
About SG Fleet

SG Fleet is a leading financial services company specializing in fleet management, vehicle leasing, and salary packaging. With a presence across Australia, the UK, and NZ, we have a total portfolio under management of $2.5 Billion and over 1200 employees.

Our Culture

We are a dynamic and fun team that values our employees and recognizes their efforts. We offer a positive and supportive work environment where you can thrive and grow with us.

Perks and Benefits
  • We are a fun and friendly team where you're not just a number.
  • Hybrid work from home and office arrangement.
  • 2 'Wellness' days per annum (in addition to annual leave).
  • Ongoing training and development within your role.
  • Range of benefits including gym and education subsidies.
  • Competitive remuneration package including a performance-based bonus plan.
About the Role

As a Data Analyst, you will be responsible for delivering data and analytics solutions to achieve business outcomes that focus on delivering customer value and operational excellence. Specifically, this position will support the Sales and Customer Service teams and work with customer-facing data and supporting systems.

Your Responsibilities
  • Work with business and technical stakeholders to understand requirements relating to data and analytics initiatives with a focus on delivering business outcomes.
  • Support Sales and Customer Service teams in serving customers, including calls and meetings as required.
  • Design, develop, test, document, and maintain reports and dashboards that meet business needs and requirements.
  • Use data pipelines across a range of technologies that extract, load, combine, and transform data from internal and external sources.
  • Understand and follow data governance requirements that support data and analytics solutions, including security, data quality, data classification, trustworthiness, and re-usability.
  • Collaborate with technical and non-technical stakeholders through various forums, including cross-functional delivery teams, data and analytics practice group, and the data and analytics platform team.
Requirements
  • Bachelor's degree (or equivalent) in computer science, engineering, mathematics, statistics, or a related field.
  • Solid experience in data analysis and developing colleague and customer-facing analysis and insights.
  • Proficiency in Power BI, data and dimensional modeling, and other related data tools and platforms.
  • Experience in building dashboards and solutions for customers.
  • Skills and experience ingesting data from various external sources.
  • Experience working with large and complex datasets.
  • High level of initiative and ability to continually identify and address opportunities for improvement.
  • Collaborative mindset.
  • High level of motivation, energy, and drive to achieve.
  • High integrity and strong understanding of professional ethics.