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Health Insurance Sales Adviser
Health Insurance Sales Adviser
Vitality Corporate Services Limited
Crown Royal Ind Park, SK1
£27,000 + Bonus + Benefits
You will have proven sales background where you enjoy exceeding targets(minimum of12 months) and can evidence working tostretching sales targets (API written) as well as KPIs such as conversion rates (Calls, leads, quotes, sales, average premium) and quality measures (NTU rate, QA Score and Complaints)
You will have proven sales background where you enjoy exceeding targets(minimum of12 months) and can evidence working tostretching sales targets (API written) as well as KPIs such as conversion rates (Calls, leads, quotes, sales, average premium) and quality measures (NTU rate, QA Score and Complaints)
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Comfortable writing Python scripts for data wrangling and API interaction
Comfortable writing Python scripts for data wrangling and API interaction
Salary: £70,000 £80,000 - Home-based (UK only, right to work required) Were looking for a Technical Success Manager (TSM) to join evaluagent . Youll be the technical expert who ensures our customers see value quickly and stay successful long term. From scoping solutions and running technical discovery sessions, to leading integrations and optimising setups, youll make sure our platform delivers real impact. Working closely with Sales, Onboarding, Customer Success, and Engineering, youll be a trusted partner who bridges technical know-how with business outcomes helping us win PoCs, onboard smoothly, and drive adoption and growth. What youll do - Lead technical discovery sessions, workshops, and PoCs with enterprise customers. Scope and deliver integrations, ensuring fast and reliable setups. Own the technical track of onboarding from discovery through handover.
Salary: £70,000 £80,000 - Home-based (UK only, right to work required) Were looking for a Technical Success Manager (TSM) to join evaluagent . Youll be the technical expert who ensures our customers see value quickly and stay successful long term. From scoping solutions and running technical discovery sessions, to leading integrations and optimising setups, youll make sure our platform delivers real impact. Working closely with Sales, Onboarding, Customer Success, and Engineering, youll be a trusted partner who bridges technical know-how with business outcomes helping us win PoCs, onboard smoothly, and drive adoption and growth. What youll do - Lead technical discovery sessions, workshops, and PoCs with enterprise customers. Scope and deliver integrations, ensuring fast and reliable setups. Own the technical track of onboarding from discovery through handover.
We are seeking a versatile and detail-oriented Data Engineer & Data Analyst to join our data team. This hybrid role involves designing and maintaining data pipelines, ensuring data quality, and performing in-depth analysis to support business decision-making. The ideal candidate will have strong technical skills in data engineering and a keen analytical mindset to extract actionable insights. Description for Internal Candidates - Design, build, and maintain scalable ETL/ELT pipelines using tools like Apache Airflow, Azure Data Factory, or similar. Develop and optimize data models and data warehouses (e.g., Snowflake, Redshift, BigQuery). Work with structured and unstructured data from various sources (APIs, databases, flat files). Ensure data quality, integrity, and governance across systems. Collaborate with DevOps and cloud teams to manage data infrastructure (AWS,
We are seeking a versatile and detail-oriented Data Engineer & Data Analyst to join our data team. This hybrid role involves designing and maintaining data pipelines, ensuring data quality, and performing in-depth analysis to support business decision-making. The ideal candidate will have strong technical skills in data engineering and a keen analytical mindset to extract actionable insights. Description for Internal Candidates - Design, build, and maintain scalable ETL/ELT pipelines using tools like Apache Airflow, Azure Data Factory, or similar. Develop and optimize data models and data warehouses (e.g., Snowflake, Redshift, BigQuery). Work with structured and unstructured data from various sources (APIs, databases, flat files). Ensure data quality, integrity, and governance across systems. Collaborate with DevOps and cloud teams to manage data infrastructure (AWS,
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£Competitive + Bonus + Benefits
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