Data Analyst

Optimo Care Group
Barnsley, United Kingdom
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 25K

Job location

Barnsley, United Kingdom

Tech stack

Microsoft Excel
Microsoft Basic Data Partition
Big Data
Information Technology

Job description

Responsible for supporting, developing, and maintaining existing financial models with a specific emphasis on delivering commercial insight and supporting the forecasting and budgeting processes of the business., * Assist in the design and enhancement of existing models to support financial reporting and analytics.

  • Conduct basic data quality checks and assist with issue investigation and resolution.
  • Analyse large volumes of data and deliver findings in a simplified format.
  • Support the integration of new acquisitions into financial models.
  • Develop improvements across a range of models / internal processes and regularly test / analyse the models efficiency output.
  • Support the Management Accounts Team with contribution to strategic projects, including acquisition planning and exploring alternatives to Excel-based modelling.
  • Other tasks as reasonably required, including ad-hoc analysis, project work and supporting the Management Accounts Team., This is not meant to be an exhaustive list; the job holder may be required to undertake such other duties as Management may from time to time reasonably require.

Requirements

  • BSc in Data Science, Computer Science, Finance, or a related field.
  • Proven advanced experience of financial modelling using Microsoft Excel
  • Detail-oriented with a passion for improving data quality.
  • Strong analytical and problem-solving skills.
  • Interest in Finance, financial data or data-driven decision making.
  • Excellent stakeholder-focus and the willingness to take ownership of projects.
  • Ability to communicate clearly and work collaboratively in a team environment.
  • High degree of self-motivation.
  • Eagerness to learn new tools, technologies, and data modelling methodologies.

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