National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Marketing and Sales Analyst

Love Finance
Birmingham
5 months ago
Applications closed

Related Jobs

View all jobs

Data Science CRM & Specials Data Analyst

Data Scientist / Business Intel Engineer (FTC), Prime and Marketing Analytics & Science (PRIMAS)

Data Science Consultant - Customer Data Modelling

Pre-Sales Engineer / Product Associate

Senior Data Scientist - AWS Professional Services

Data Scientist

Love Finance: Senior Marketing & 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 theTop 15 fastest growing finance companies, withGreat Places to Work certificationand a4.9-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 Marketing & Sales Analyst

Type: Permanent

Working Pattern: Hybrid

Location: Birmingham City Centre

Salary: £50,000 to £70,000 per annum

The Role of the Marketing & 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 and must have previously worked on analysis for Sales and Marketing departments predominantly

  • 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
  • Collaborate with the Head of Marketing, Sales and Operations Director and Data Engineer to ensure accurate and timely tracking of data and leads through to Sales Agents
  • 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
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.