At a Glance
- Tasks: Lead data projects and provide insights to drive business growth.
- Company: Join Love Finance, a top finance broker empowering UK businesses since 2016.
- Benefits: Enjoy a hybrid work model with a competitive salary of £50,000 to £70,000.
- Why this job: Be part of a fast-growing company with a 4.9-star rating and a great workplace culture.
- Qualifications: 5+ years in a similar role with expertise in BI tools like Thoughtspot or Tableau.
- Other info: Act as the go-to data expert, collaborating across departments to enhance decision-making.
The predicted salary is between 40000 - 60000 £ per year.
Love Finance: Senior Data / Sales Analyst– Permanent – Hybrid – Birmingham City Centre – £50,000 – £70,000 per annum Love Finance is a leading online finance broker and lender dedicated to empowering UK businesses. Since 2016, Love Finance have been instrumental in assisting thousands of companies in accessing funding via cutting-edge, technology. Ranked in the Top 15 fastest growing finance companies , with Great Places to Work certification and a 4.9-star rating on Trust Pilot , we consistently surpass our targets and are looking to secure a Senior Data and Sales Analyst to continue our growth trajectory. About You as Senior Data and Sales Analyst: We are looking for a self-starting Senior Data Analyst to join the Love Finance team, acting as the key data contact for all senior leaders across the business. For this role you will need to work self sufficiently and in a predominantly stand-alone capacity, taking control of data projects, prioritisation of data projects and transfer of useful data knowledge to the Love Finance team. Role: Senior Data and Sales Analyst Type: Permanent Working Pattern: Hybrid Location: Birmingham City Centre Salary: £50,000 to £70,000 per annum The Role of the Data and Sales Analyst: Essential Systems Experience: Must have knowledge of BI Platforms/BI Tools, Thoughtspot or Tableu Essential Experience: Candidates must have at least 5 years’ experience within a similar role Act as the go to point of contact for all data projects across Love Finance, partnering with Sales, Marketing, Finance, Recruitment, HR and Operations on data insights Track the data and format in easy-to-understand manner for wider business use and efficiency Analyse data to understand market opportunities and business growth overviews Be the Thoughtspot expert user ensuring completion of dashboards for easy data access Utilise innovative ways to widen the scope of data capture Use data collected to assess, marketing campaign performance, marketing engagement, sales trends, KPI data improvement etc. Researching and evaluating current economic conditions that may affect the organisation’s ability to sell its products or services in the marketplace Preparing sales forecasts and collecting and analysing data to evaluate current sales goals Compiling, analysing, and reporting sales data Monitoring and analysing competitive activity, customer, and market trends Providing actionable insights to guide the sales and marketing teams Research sales trends and evaluate sales performance for forecasting and business planning purposes Collects, cleanse, and analyse data to answer questions and inform decision-making across the business Utilise tools such as statistical analysis, data visualization, and machine learning Ensures data quality and accuracy Identifies trends, patterns, and insights to help the organisation make informed decisions Train and support the Junior Data Analyst
Senior Sales / Data Analyst employer: Love Finance
Contact Detail:
Love Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Sales / Data Analyst
✨Tip Number 1
Familiarize yourself with the specific BI tools mentioned in the job description, like Thoughtspot and Tableau. Having hands-on experience or even completing a relevant online course can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the finance and data analysis sectors. Attend industry events or webinars to connect with people who might provide insights into Love Finance's culture and expectations.
✨Tip Number 3
Prepare to discuss your previous experiences in detail, especially how you've successfully managed data projects independently. Be ready to share specific examples that demonstrate your ability to analyze data and provide actionable insights.
✨Tip Number 4
Stay updated on current economic conditions and market trends that could impact the finance industry. This knowledge will not only help you in interviews but also show your genuine interest in the role and the company.
We think you need these skills to ace Senior Sales / Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with BI platforms and tools like Thoughtspot or Tableau. Emphasize your 5+ years in similar roles and any specific projects that showcase your data analysis skills.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analysis and how it can drive business growth. Mention your ability to work independently and your experience collaborating with various departments like Sales and Marketing.
Showcase Relevant Skills: Clearly outline your skills in data visualization, statistical analysis, and machine learning. Provide examples of how you've used these skills to provide actionable insights in previous roles.
Highlight Your Achievements: Include specific achievements related to data projects, such as successful sales forecasts or improvements in KPI data. Quantify your results where possible to demonstrate your impact on business performance.
How to prepare for a job interview at Love Finance
✨Showcase Your Data Expertise
Be prepared to discuss your experience with BI platforms and tools like Thoughtspot or Tableau. Highlight specific projects where you've successfully utilized these tools to drive insights and decision-making.
✨Demonstrate Your Analytical Skills
Prepare examples of how you've analyzed data to identify market opportunities or improve sales performance. Use metrics and outcomes to illustrate your impact on previous organizations.
✨Communicate Clearly
Since the role involves transferring data knowledge across teams, practice explaining complex data concepts in simple terms. This will show your ability to make data accessible to non-technical stakeholders.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills. Think about scenarios where you had to prioritize multiple data projects or address data quality issues, and be ready to share your thought process.