At a Glance
- Tasks: Lead data analysis projects and create impactful dashboards and reports.
- Company: Join a new team at Chase focused on innovative data solutions.
- Benefits: Empowering environment, competitive salary, and opportunities for growth.
- Other info: Diverse and inclusive workplace valuing collaboration and curiosity.
- Why this job: Shape the future of data analysis and drive real business impact.
- Qualifications: Proficient in SQL, Python, and data visualisation tools.
The predicted salary is between 60000 - 80000 £ per year.
Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center – all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people‑first. We value collaboration, curiosity and commitment.
Join us as our first Senior Data Analyst and shape a brand new data discipline within our platform team. You'll have the opportunity to define what great data analysis looks like, promote a culture of data‑driven decision making, and make a real impact by partnering with product management and engineering to deliver insights that steer business outcomes. If you're hands‑on, detail‑oriented, and passionate about turning data into value, this is your chance to lead and innovate.
Job Summary
As a Senior Data Analyst in the platform team, you will own our data‑as‑a‑product strategy from start to finish. You'll collaborate with product management, engineering, and senior stakeholders to build dashboards, queries, and reports, monitor KPIs, and translate business requirements into data outcomes. You'll define and implement best practices for data analysis, manage the data analysis backlog, and champion data‑driven decision making across the department.
Job Responsibilities
- Build dashboards, queries, and insight reports for senior stakeholders
- Monitor department KPIs and deliver actionable insights
- Collaborate across teams to interpret requirements into data outcomes
- Define, implement, and manage a new data discipline in the department
- Promote a culture of data‑driven decision making
- Own the data analysis backlog and strategy for maximizing data value
- Automate and scale data operations and reporting
- Lead end‑to‑end data projects from requirements to implementation and monitoring
- Translate business problems and customer requirements into data features
- Partner with product, engineering, operations, and leadership to influence decisions
Required Qualifications, Capabilities, and Skills
- Proficiency with dbt, BigQuery or similar, Looker Studio Pro, Airflow or similar, pandas/polars, numpy
- Advanced SQL skills for complex queries
- Python proficiency for data modelling and manipulation
- Experience with BI platforms for dashboards and data storytelling
- Strong data visualization and dashboard design skills
- Experience working with large datasets from diverse sources
- Strong statistical analysis, regression, SQL, and ETL skills
- Ability to develop and validate hypotheses via A/B testing, forecasting, etc.
- Experience with data governance, compliance, data quality, and controls
- Ability to communicate complex data findings to stakeholders at all levels
Preferred Qualifications, Capabilities, and Skills
- Degree in a quantitative field (Mathematics, Statistics, Computer Science, Economics)
- Experience with cloud‑native platform infrastructure (GCP, AWS)
- Experience in financial services
- Knowledge of predictive analytics and machine learning fundamentals
Why Join Us?
You’ll be empowered to define and lead our data strategy, working in a collaborative, innovative environment where your insights drive real business impact. This is a unique opportunity to shape the future of data analysis in our platform team and make a difference for our company and clients.
Equal Opportunity Employer
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Lead Data Analyst employer: Fairygodboss
At Chase, we pride ourselves on being a people-first employer that fosters collaboration, curiosity, and commitment. As a Lead Data Analyst, you'll have the unique opportunity to shape our data strategy in a dynamic environment that values your insights and promotes professional growth. Join us to make a meaningful impact while working alongside talented colleagues who are dedicated to solving real-world problems for our customers.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, dashboards, and any cool insights you've delivered. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and being ready to discuss your past experiences. Practice common data-related questions and think about how you can demonstrate your problem-solving abilities.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team and making an impact.
We think you need these skills to ace Lead Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead Data Analyst role. Highlight your proficiency in SQL, Python, and any relevant BI tools to show us you're the perfect fit!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data analysis and how you can contribute to our mission. Share specific examples of how you've turned data into actionable insights in previous roles.
Showcase Your Projects:If you've worked on any data projects, whether personal or professional, make sure to mention them! We love seeing how you've applied your skills in real-world scenarios, especially if they involved collaboration across teams.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to shape our data discipline!
How to prepare for a job interview at Fairygodboss
✨Know Your Data Tools
Make sure you're well-versed in the tools mentioned in the job description, like dbt, BigQuery, and Looker Studio Pro. Brush up on your SQL skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Collaboration Skills
Since this role involves working closely with product management and engineering, prepare examples of how you've successfully collaborated across teams. Highlight any experiences where your insights led to data-driven decisions.
✨Prepare for Technical Questions
Expect questions that test your statistical analysis and data manipulation skills. Be ready to explain complex concepts in simple terms, as you'll need to communicate findings to stakeholders at all levels.
✨Demonstrate Your Passion for Data
Share your enthusiasm for turning data into value. Discuss any personal projects or initiatives where you've promoted a culture of data-driven decision making, and how you envision doing this in the new team.
