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- Tasks: Deliver insights to product teams and create interactive dashboards.
- Company: Uswitch empowers consumers with informed financial choices in a dynamic startup-like environment.
- Benefits: Enjoy hybrid working, a ÂŁ300 work-from-home budget, and 25 days holiday plus extra 'My Time' days.
- Why this job: Make a positive impact on consumers' lives while collaborating with diverse teams in a supportive culture.
- Qualifications: Strong SQL skills and experience with analytical tools like Python and Tableau are essential.
- Other info: Uswitch values diversity and offers comprehensive leave policies and employee discounts.
The predicted salary is between 30000 - 42000 ÂŁ per year.
Digital Data Analytics and Insights AnalystLocation: London SE1 2LH, United Kingdom
Employment Type: Full-time, Hybrid
Company OverviewUswitch, part of RVU, empowers consumers with informed financial choices through its comprehensive online comparison service. In a dynamic startupâlike environment backed by robust resources, the Financial Services team looks to be the UK\âs preferred option for choosing financial products that drive major life decisions.
Responsibilities
Deliver actionable insights to Product teams for strategic decisions.
Collaborate with crossâfunctional teams to translate business needs into data requirements.
Work with engineers to improve data management and quality processes via dbt models.
Create interactive dashboards and reports for senior management.
Facilitate thirdâparty data integrations.
Translate complex analyses into narratives for diverse stakeholders.
Benefits
10% discretionary yearly bonus and pay reviews.
Hybrid working with 2 inâoffice days per week and 22 days remote.
Up to 7.5% employer pension contribution.
ÂŁ300 workâfromâhome budget.
Comprehensive leave policies (maternity, paternity, shared parental, adoption).
25 days holiday plus additional \âMy Time\â days.
Private medical, critical illness cover, and employee assistance.
Employee discounts programme.
Learning and training budget.
Electric vehicle and cycle schemes.
Inâoffice gym access and free breakfast.
Choice of Mac or Windows technology.
Access to Calm and Peppy apps for health.
Regular team socials and company events.
Requirements
Excellent SQL skills, especially with Google BigQuery.
Experience with analytical tools such as Python, Tableau, and Git.
Proven ability to work with raw data and set up data tracking.
Strong attention to detail and efficiency in meeting project deadlines.
Statistical literacy and competence in testing or modelling techniques.
Preferred Experience
Experience with customer engagement and marketing funnel data.
Diversity & InclusionUswitch is dedicated to fostering a diverse and inclusive work environment. During the interview process, they may use Metaview for noteâtaking, which candidates can opt out of at any time.
Referrals may increase your chances of being selected for an interview.
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Data Insight Analyst (product biased) employer: Uswitch
Contact Detail:
Uswitch Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Insight Analyst (product biased)
â¨Tip Number 1
Familiarise yourself with SQL and Google BigQuery, as these are essential skills for the Data Insight Analyst role. Consider working on personal projects or contributing to open-source projects that involve these technologies to showcase your practical experience.
â¨Tip Number 2
Develop your analytical storytelling skills. Practice translating complex data analyses into clear narratives that can be understood by diverse stakeholders. This will help you stand out during interviews when discussing how you can deliver actionable insights.
â¨Tip Number 3
Network with professionals in the financial services and data analytics sectors. Attend industry meetups or webinars to connect with potential colleagues at Uswitch and gain insights into their work culture and expectations.
â¨Tip Number 4
Showcase your experience with analytical tools like Python and Tableau through a portfolio of projects. Highlight any dashboards or reports you've created, as this will demonstrate your ability to deliver insights effectively.
We think you need these skills to ace Data Insight Analyst (product biased)
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV highlights your SQL skills, experience with analytical tools like Python and Tableau, and any relevant projects. Use keywords from the job description to demonstrate that you meet the requirements.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analysis and how it can positively impact consumers' lives. Mention specific experiences where you've delivered actionable insights or collaborated with cross-functional teams.
Showcase Your Technical Skills: Include a section in your application that details your technical skills, particularly your proficiency with Google BigQuery and any experience with data tracking and management. This will help you stand out as a candidate.
Prepare for Potential Assessments: Be ready for possible assessments or tests related to data analysis. Brush up on your statistical literacy and modelling techniques, as these may be evaluated during the interview process.
How to prepare for a job interview at Uswitch
â¨Showcase Your SQL Skills
Since excellent SQL skills are a must for this role, be prepared to discuss your experience with Google BigQuery. Consider bringing examples of past projects where you used SQL to derive insights or solve problems.
â¨Demonstrate Analytical Tools Proficiency
Familiarity with analytical tools like Python and Tableau is essential. Be ready to explain how you've used these tools in previous roles, perhaps by discussing specific dashboards or analyses you've created.
â¨Prepare for Data Management Discussions
As the role involves improving data management processes, think about your experiences working with raw data and setting up data tracking. Be ready to share how you ensured data quality and efficiency in your past projects.
â¨Translate Complex Analyses into Simple Narratives
The ability to communicate complex data insights clearly is crucial. Prepare to give examples of how you've successfully translated technical analyses into understandable narratives for diverse stakeholders in previous roles.
