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- Tasks: Lead the development of self-serve dashboards and workflow automation tools.
- Company: Join a well-known retail brand with a high-growth data function.
- Benefits: Competitive salary, bonus potential, excellent pension, and private healthcare.
- Why this job: Shape customer analytics and drive automation while leading a dynamic team.
- Qualifications: Strong leadership, Power BI, SQL, and experience with Databricks and Airflow.
- Other info: Exciting career growth opportunities in a supportive environment.
The predicted salary is between 60000 - 84000 ÂŁ per year.
This is a great opportunity to join a high growth data function within a well known retail brand. Sitting within the Customer and Data team, you will play a key role in transforming how the business understands customer behaviour and uses data to improve decision making, performance and customer experience.
You will take ownership of selfâserve analytics, foundational data products and automation tools that drive strategic decision making across the organisation. This includes building and scaling dashboards and workflow automation used across retail and trade channels. You will also support data enablement and data access so that teams across the business have the right information when they need it.
There is also a leadership element where you will manage and develop a growing team and work cross functionally across the business. This role sits in a function that has strong senior backing and continued investment which creates clear opportunities to grow your career.
The Role
- Build and lead the development of selfâserve dashboards to support commercial and customer decision making
- Lead workflow automation and integration using Databricks, Airflow and Power Platform
- Support data enablement and data architecture across the business
- Own customer data tools that help understand customer behaviour and improve experience
- Work crossâfunctionally with marketing, customer, product and internal data teams
- Manage and grow a high performing analytics team
- Drive the data and automation roadmap while promoting best practice across the function
Skills and Experience
- Strong stakeholder and team leadership experience
- Power BI and SQL expertise
- Databricks and Airflow experience
- Experience building data products and workflow automation
- Python would be beneficial
- Ability to influence and work across customer, commercial and data teams
Salary and Benefits
- ÂŁ70,000 to ÂŁ80,000 plus up to 20% bonus
- Excellent pension and private healthcare
- Share save and retail discounts available
If you want to shape customer analytics, drive automation and lead a growing team within a highly invested data function this is a brilliant opportunity.
Seniority level: MidâSenior level
Employment type: Fullâtime
Job function: Marketing
Data Visualisation and Automation Manager in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Visualisation and Automation Manager in London
â¨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
â¨Tip Number 2
Show off your skills! If youâve got a portfolio or examples of dashboards and automation tools you've built, bring them along to interviews. Itâs a great way to demonstrate your expertise in Power BI and SQL.
â¨Tip Number 3
Prepare for those tricky questions! Think about how youâd lead a team or tackle cross-functional projects. Use real-life examples to show how youâve influenced decision-making in past roles.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Visualisation and Automation Manager in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV speaks directly to the role of Data Visualisation and Automation Manager. Highlight your experience with Power BI, SQL, and any relevant automation tools like Databricks and Airflow. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data visualisation and how you can contribute to our team. Share specific examples of your past successes in building dashboards or leading teams, so we can see your potential.
Showcase Your Leadership Skills: Since this role involves managing a growing team, make sure to highlight your leadership experience. Tell us about times you've successfully led projects or mentored others. We love seeing candidates who can inspire and develop their teams!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you get all the updates. Plus, it shows you're keen on joining our awesome team at StudySmarter!
How to prepare for a job interview at Harnham
â¨Know Your Data Tools
Make sure you brush up on your Power BI, SQL, Databricks, and Airflow skills. Be ready to discuss how you've used these tools in past projects, as they'll want to see your hands-on experience and how you can apply it to their data visualisation needs.
â¨Showcase Leadership Experience
Since this role involves managing a growing team, be prepared to share examples of your leadership style. Talk about how you've developed teams in the past and how you plan to foster a high-performing analytics team in this new role.
â¨Understand the Business Context
Familiarise yourself with the retail brand's customer behaviour and decision-making processes. Being able to connect your technical skills to real-world business outcomes will demonstrate your value and understanding of the role.
â¨Prepare for Cross-Functional Collaboration
This position requires working closely with various teams like marketing and product. Think of examples where you've successfully collaborated across departments and be ready to discuss how you can bridge gaps between teams to drive data enablement.
