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- Tasks: Lead the BI strategy and implement advanced analytics in finance.
- Company: Join the iconic Williams F1 Team, a leader in motorsport innovation.
- Benefits: Enjoy generous holidays, fitness classes, and a vibrant workplace culture.
- Why this job: Make a real impact in finance with cutting-edge BI tools and AI.
- Qualifications: Expertise in BI tools and financial analysis; leadership skills are a must.
- Other info: Be part of a diverse team driving innovation in a fast-paced environment.
The predicted salary is between 60000 - 80000 ÂŁ per year.
The Business Intelligence Lead role drives and implements the BI Strategy and wider Finance Strategy. The Business Intelligence Lead will spearhead the integration of advanced BI solutions within the finance domain and will be instrumental in levelling up the Business Intelligence capabilities of the organisation, focusing on broadening capabilities into simulation analysis, scenario building and utilising AI capabilities. This role leads a small team to leverage data analytics and BI tools to provide actionable financial insights across the business, streamline processes through automation, and inform strategic decision‑making.
Strategic Leadership in Business Analytics
- Develop and implement the BI strategy tailored to the financial needs of the organisation including prioritising initiatives that align with organisational objectives and deliver measurable value.
- Partner with finance leadership team to identify analytical and automation opportunities and improve financial performance.
- Establish and enforce data governance policies and procedures within finance to ensure compliance with broader technology governance standards.
- Represent finance in organisational data governance discussions, ensuring finance‑specific data needs are prioritised and integrated into the organisation's data strategy.
- Engage stakeholders across the organisation to independently access and analyse data by promoting the use of self‑service analytics tools and teach them how data and analytics enhance decision‑making and operational efficiency.
Wider organisation empowerment:
- Conducting knowledge sharing sessions, discussion forums and raising awareness about use of dashboards, data governance policies and best practices to foster a data‑driven culture.
BI System Development and Optimisation
- Lead team to design, build, and maintain dashboards, reports, and analytical tools to track key financial metrics (e.g., EBIT, cash flow, ROI, KPIs) that are accurate and consistent.
- Ensure that data is collected, stored, and managed effectively to support the BI needs of the organization. This includes data governance, data quality assurance, and data integration.
- Lead a robust BI dashboard build process from gathering user requirements to user acceptance testing and deployment.
- Utilise metrics and analytics to monitor data quality, identify discrepancies and implement corrective actions promptly to maintain high standards of data reliability.
- Drive the deployment and development of AI initiatives in finance to enhance decision‑making, operational efficiency and scenario analysis.
Advanced Financial Analysis
- Provide insights into financial trends, variance analysis, and forecasting using data‑driven methods, liaising with finance leadership to ensure efficient delivery across the business.
- Lead planning and predictive modelling for strategic initiatives.
- Analyse large datasets to identify risks, opportunities, and cost‑saving measures, presenting key outcomes and recommendations to finance leadership.
Team Leadership
- Recruit, develop and retain data and analytics talent.
- Focus on enhancing organisational capabilities and fostering a high‑performing team.
- Offer mentorship and professional development opportunities to team members, to support their career growth and skill enhancement.
- Establish best practices for finance BI processes, data governance, and reporting standards.
- Ensure successful delivery of finance‑related BI projects within scope, budget, and timeline.
- Drive engagement with finance team members to innovate with machine learning and AI to extract actionable insights from complex financial data sets.
Required Skills & Experience
- Significant expertise in BI tools (e.g., Power BI, Tableau, QlikView) and data visualisation, able to lead on optimal tool usage for business outcomes and strategic insights.
- Proficiency in financial modelling and analysis tools, including Excel, SQL, and data warehousing platforms.
- Familiarity with ERP systems (e.g., SAP, Oracle) and financial software integration.
- Knowledge of programming languages (e.g., Python, R) is a plus.
Business Intelligence Lead in Grove employer: Atlassian
Contact Detail:
Atlassian Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Lead in Grove
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and connect 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 BI projects, dashboards, and any cool data visualisations you've done. 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 common BI scenarios and case studies. Practice explaining your thought process and how you approach problem-solving with data. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it gives you a better chance to stand out from the crowd.
We think you need these skills to ace Business Intelligence Lead in Grove
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with BI tools and financial analysis. We want to see how your skills align with our needs, so don’t hold back on showcasing your relevant achievements!
Showcase Your Leadership Skills: As a Business Intelligence Lead, you'll be guiding a team. Share examples of how you've successfully led teams in the past, especially in data analytics or finance. We love seeing candidates who can inspire and develop others!
Be Data-Driven: Since this role is all about leveraging data for insights, include specific metrics or outcomes from your previous roles. We appreciate candidates who can demonstrate their impact through numbers and data-driven results.
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Atlassian
✨Know Your BI Tools Inside Out
Make sure you’re well-versed in the BI tools mentioned in the job description, like Power BI and Tableau. Be ready to discuss how you've used these tools to drive business outcomes and provide strategic insights in your previous roles.
✨Showcase Your Financial Acumen
Prepare to talk about your experience with financial modelling and analysis. Bring examples of how you've used data-driven methods for forecasting and variance analysis, and be ready to discuss how these insights have influenced decision-making in your past positions.
✨Demonstrate Leadership Skills
Since this role involves leading a team, think of specific instances where you've successfully recruited, developed, or mentored talent. Highlight your approach to fostering a high-performing team and how you’ve driven engagement with innovative technologies like AI and machine learning.
✨Engage with Stakeholders
Be prepared to discuss how you've previously engaged with stakeholders to promote self-service analytics and data governance. Share examples of knowledge-sharing sessions or forums you've conducted to empower others in using data effectively for operational efficiency.