Junior Operational Analyst

Job Description:

Junior Operational Analyst

Permanent

London, Staines, Manchester or Leeds

Hybrid working options

£35.5k - £44.5k DOE and location + fantastic benefits

37.5 hours per week

We consider all types of flexibility, including locations, hours and working patterns.

Working in our UK support functions you’ll play a key part in helping our customer facing colleagues deliver exceptional standards of customer service and patient care. No matter your role, you’ll have an opportunity to do work that matters. Making a difference to the lives of our customers each and every day.

The role

As a Junior Data Analyst you will be responsible for analysing, interpreting and presenting data specific to telephony, webchat and email contact. You will work closely with Senior Data Analysts to turn these data insights into actionable recommendations for effective decision making.

You’ll help us make health happen by

• Collect, analyse and interpret data related to telephony, webchat and email within the healthcare industry
• Analyse interactions and KPI's within the healthcare service centres to identify performance gaps and to analyse how these could be addressed with the goal of improving customer satisfaction
• Use data to provide insights into areas for improvement and recommend strategies to operational teams
• Collaborate with other analysts and cross-functional teams to identify patterns and trends in customer behaviour that could lead to better healthcare delivery
• Develop and maintain databases to store and manage critical operational data
• Track and report on key performance indicators that support the healthcare service delivery goals
• Design data dashboards and data visualizations to assist stakeholders in understanding and interpreting data trends

Key Skills / Qualifications needed for this role

• Proficient in at least one coding language (SQL, SAS, R, Python) and Microsoft Office suite, especially Excel and PowerPoint
• Have experience with self-service dashboards – ideally using PowerBI/ R Markdown/Python or Tableau
• Academic applied knowledge of machine learning/statistical modelling techniques
• Motivated to learn and stretch beyond comfort zone
• Ability to prioritise and handle multiple tasks simultaneously
• Ability to work independently and as a member of a team
• Ability to provide input into, feedback on, and follow a project schedule
• Excellent verbal and written communication, organisational and interpersonal skills

Benefits

Our benefits are designed to make health happen for our people. Viva is our global wellbeing programme and includes all aspects of our health – from mental and physical, to financial, social and environmental wellbeing. We support flexible working and have a range of family friendly benefits.

Joining Bupa in this role you will receive the following benefits and more:

• 25 days holiday, increasing through length of service, with option to buy or sell

• Bupa health insurance as a benefit in kind

• An enhanced pension plan and life insurance

• Onsite gyms or local discounts where no onsite gym available

• Various other benefits and online discounts

Why Bupa?

We’re a health insurer and provider. With no shareholders, our customers are our focus. Our people are all driven by the same purpose – helping people live longer, healthier, happier lives and making a better world. We make health happen by being brave, caring and responsible in everything we do.

We encourage all of our people to “Be you at Bupa”, we champion diversity, and we understand the importance of our people representing the communities and customers we serve. That’s why we especially encourage applications from people with diverse backgrounds and experiences.

As a Disability Confident employer, we offer a guaranteed interview for every disabled applicant who meets the minimum criteria for the job. We’ll make sure you are treated fairly and offer reasonable adjustments as part of our recruitment process to anyone that needs them.

Time Type:

Full time

Job Area:

Commercial & Analytics, Strategy, Change & Transformation

Locations:

Angel Court, London, Bupa Place, Staines - Willow House