At a Glance
- Tasks: Lead data analysis projects, build dashboards, and deliver insights that drive business decisions.
- Company: Join a people-first team at a leading financial services company.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and diversity.
- Why this job: Shape the future of data analysis and make a real impact on customer experiences.
- Qualifications: Proficiency in SQL, Python, and experience with 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.
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: TwinThread
At Chase, we pride ourselves on being a people-first organisation that fosters collaboration, curiosity, and commitment. As a Lead Data Analyst, you will have the unique opportunity to shape our data strategy in a dynamic environment that values your insights and promotes professional growth. With a strong emphasis on diversity and inclusion, we ensure that every team member can thrive and make a meaningful impact on our customers and the business.
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 you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and being ready to discuss your past projects. Practice explaining complex data findings in simple terms, as communication is key when working with stakeholders.
✨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 contributing to our mission.
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 match the Lead Data Analyst role. Highlight your proficiency with tools like dbt, BigQuery, and your experience in data visualisation. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data analysis and how you’ve turned data into actionable insights in the past. Let us know why you’re excited about shaping a new data discipline with us.
Showcase Your Projects:If you’ve worked on any relevant projects, don’t hold back! Include links or descriptions of dashboards, reports, or analyses you’ve created. This gives us a glimpse into your hands-on experience and creativity.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at TwinThread
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like dbt, BigQuery, and Looker Studio. 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 impactful decisions.
✨Prepare for Data Storytelling
Be ready to demonstrate your ability to turn complex data findings into clear, actionable insights. Think of a few examples where your data visualisation skills made a difference in decision-making.
✨Understand the Business Context
Research the company’s mission and values, especially their focus on customer-centric products. Be prepared to discuss how your data analysis can align with their goals and drive business outcomes.
