SonicJobs Logo
Left arrow iconBack to search

Data Analyst

In Technology Group
Posted a day ago, valid for 17 days
Location

Liverpool, Merseyside L2 2DP, England

Salary

£29,000 - £35,000 per annum

Contract type

Full Time

By applying, a CV-Library account will be created for you. CV-Library's Terms & Conditions and Privacy Policy will apply.

Sonic Summary

info
  • The role of Data Analyst / Scientist offers a salary ranging from £29,000 to £31,500 within 12 months, based in Liverpool City Centre with a requirement of four days onsite.
  • The successful candidate will utilize internal systems and third-party data to provide actionable insights and support the Underwriting & Analytics team in producing competitive quotes for new business.
  • Key responsibilities include data analysis, machine learning, and operational improvements, focusing on enhancing business outcomes and driving strategic initiatives.
  • Candidates should possess strong analytical skills, experience with data analysis tools, and knowledge of machine learning frameworks, along with excellent communication abilities.
  • A minimum of one year of relevant experience is required for this position.

Role: Data Analyst / Scientist

Salary: 29,000 - rising to 31,500 within 12 months

Location: Liverpool City Centre (4 days onsite)

About:

This role is a for a client that provides Healthcare insurance plans for companies and has been established for over 100 years!

The Data Analyst / Scientist will support the Underwriting & Analytics team by utilising internal systems and third-party data to deliver actionable insights and innovative solutions.

The successful candidate will play a pivotal role in producing competitive quotes for new business, deploying machine learning algorithms across various datasets, and driving operational and strategic improvements. This role involves a blend of data analysis, predictive modelling, and process optimisation to enhance business outcomes.

Responsibilities:

Data Analysis and Insights:

  • Analyse internal systems and third-party data to produce competitive quotes for new business.
  • Provide data-driven insights to inform underwriting decisions and pricing strategies.
  • Monitor and report on key metrics, including quote conversion rates and policyholder claims patterns.

Machine Learning and Predictive Analytics:

  • Build and deploy machine learning algorithms across all business datasets.
  • Develop models to improve quote conversion rates and identify instances of policyholder claims fraud.
  • Implement policyholder scoring systems based on claims experience to enable automated claims payments.

Operational Improvements:

  • Design and implement internal productivity tracking to identify and resolve resource bottlenecks before they impact operations.
  • Assist in cross-selling initiatives by analysing claims data to identify customers who could benefit from additional products or services (e.g. training courses).

Data Strategy and Governance:

  • Maintain and ensure the integrity, accuracy, and security of datasets used in analysis and model development.
  • Work collaboratively with IT to ensure optimal data infrastructure and accessibility.

Collaboration and Stakeholder Engagement:

  • Collaborate with all business units to align data solutions with business objectives.
  • Communicate complex findings and insights in a clear and actionable manner to non-technical stakeholders.

Continuous Improvement:

  • Stay informed about advancements in data analytics, machine learning, and industry-specific technologies.
  • Identify opportunities to refine and enhance analytical processes and tools.

Reporting and Documentation:

  • Prepare detailed documentation of models, methodologies, and findings.
  • Produce regular and ad-hoc reports for senior management and stakeholders.
  • Compliance and Risk Management:
  • Ensure all data analysis and machine learning initiatives comply with regulatory and ethical standards.
  • Identify potential data-related risks and propose mitigation strategies.

Skills:

  • Strong analytical skills with proficiency in data analysis tools (e.g., Python, R, SQL).
  • Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn).
  • Knowledge of statistical modelling and predictive analytics techniques.
  • Proficient in data visualisation tools (e.g., Power BI, Tableau).
  • Familiarity with data governance, security, and regulatory compliance requirements.
  • Strong problem-solving skills and attention to detail.
  • Excellent written and verbal communication skills.

In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy.

Apply now in a few quick clicks

By applying, a CV-Library account will be created for you. CV-Library's Terms & Conditions and Privacy Policy will apply.