Junior Operational Analyst
Permanent
Location: London, Staines, Manchester or Leeds
Hybrid working options
Salary: £35.5k - £44.5k DOE and location + fantastic benefits
Hours: 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 Operational 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:
* Collecting, analysing and interpreting data related to telephony, webchat and email within the healthcare industry.
* Analysing interactions and KPIs within the healthcare service centres to identify performance gaps and how these could be addressed to improve customer satisfaction.
* Using data to provide insights into areas for improvement and recommending strategies to operational teams.
* Collaborating with other analysts and cross-functional teams to identify patterns and trends in customer behaviour that could lead to better healthcare delivery.
* Developing and maintaining databases to store and manage critical operational data.
* Tracking and reporting on key performance indicators that support the healthcare service delivery goals.
* Designing 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.
* 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
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