At a Glance
- Tasks: Create and maintain impactful dashboards and reports for data-driven decision-making.
- Company: Join a dynamic team in a growing data organisation focused on enterprise reporting.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and continuous improvement.
- Why this job: Make a real impact by transforming data into strategic insights for leadership.
- Qualifications: 3+ years as a Data Analyst with advanced SQL and dashboarding skills.
The predicted salary is between 45000 - 60000 £ per year.
We are seeking a Data Analyst III to join our growing data organization in the enterprise reporting team. This data analyst plays a key role in developing and maintaining enterprise reporting frameworks. This role focuses on report creation, data modeling, transformation, and validation while ensuring compliance with internal governance. This developer helps bridge the gap between data engineering and analytics, ensuring that high-quality, reliable data is available for decision-making. This developer plays a key role in creating executive dashboards and reports that clearly communicate KPIs and strategic insights to leadership.
Responsibilities
- Design dashboards with a long-term mindset, ensuring they are optimized, scalable, and maintainable for evolving business needs.
- Experience working in a product-driven environment, partnering directly with product managers and engineering teams to influence product decisions - strongly preferred.
- Maintain and continuously update dashboards, ensuring data accuracy, performance, and alignment with evolving business needs.
- Enhance and refresh existing BI assets, incorporating new data sources, business logic, and stakeholder feedback to keep reports relevant and actionable.
- Assist in data governance activities, including metadata management and reporting documentation.
- Design, build, and maintain scalable data models that support reporting, dashboards, and advanced analytics.
- Support data modeling, transformation, and automation to improve reporting efficiency.
- Assist in gathering and refining reporting requirements from finance, compliance, and business teams.
- Conduct data validation, reconciliation, and quality control checks to maintain reporting integrity.
- Develop processes to streamline data extraction, transformation, and reporting workflows.
- Support automated reporting solutions to reduce manual effort and enhance reporting consistency.
- Investigate and reconcile reporting variances across reports, ensuring consistency and accuracy of KPIs.
- Work with stakeholders to identify root causes of discrepancies and implement fixes in data models or dashboards.
- Generate and maintain reports on key business metrics for governance, financial, and operational performance.
- Effectively communicate findings and insights to product managers, developers, and other stakeholders through clear reports and presentations.
Qualifications
- 3+ years of experience as a Data Analyst, Business Intelligence Analyst, or similar role.
- Advanced SQL skills.
- Data modeling utilizing a tool such as DBT, including managing and optimizing source code control in GitHub, leveraging branching strategies and best practices to ensure efficient collaboration and code quality.
- Experienced with building dashboards and reporting tools (e.g. Tableau, Sigma, Power BI, Looker).
- Customer obsessed and experience focused; highly outcome-oriented and data-driven; experienced in working in high-growth environments.
- Demonstrated ability to partner closely with stakeholders, earning trust and prioritizing relationships.
- Logical and analytical approach to problem solving. Plus for utilizing AI in analytics.
- Strong organizational and communication skills.
- Positive and flexible attitude, a willingness to embrace new initiatives.
- Understanding of sports betting or experience in customer behavior analysis is a significant plus.
- Must be open to travel for team offsites and events.
Data Analyst III (Product) in City of Westminster employer: Fanatics Inc
Join our dynamic data organisation as a Data Analyst III, where you will play a pivotal role in shaping enterprise reporting frameworks within a collaborative and innovative work culture. We prioritise employee growth through continuous learning opportunities and encourage a customer-focused mindset, ensuring that your contributions directly impact product decisions and business outcomes. Located in a vibrant area, we offer a supportive environment that values flexibility and teamwork, making it an excellent place for professionals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst III (Product) in City of Westminster
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We think you need these skills to ace Data Analyst III (Product) in City of Westminster
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Fanatics Inc, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Fanatics Inc. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Fanatics Inc
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Fanatics Inc!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
