Salesforce Administrator

Elliott Recruitment Solutions
Beoley
1 year ago
Applications closed

Related Jobs

View all jobs

CRM & Data Analyst (Hybrid) - Salesforce Focus

Hybrid Junior Data Analyst: Clean Data to Drive Growth

Data Analyst

Hybrid Data Analyst – EU Automotive Insights & Dashboards

Marketing Data Analyst – Campaign Insights (FTC)

Data Analyst

Salesforce AdministratorRedditch£40k - £45k+ DOEWe are looking for a certified Salesforce Administrator to join a growing organisation in a newly created role.My client, a national organisation and a market leader in their field have recently implemented Salesforce and are now looking for a certified Salesforce Administrator to work closely with the Head of IT to enhance the capabilities of the IT department, supporting Sales, Operations, and other head office functions. The role involves both hands on Salesforce administration and first line support for internal and remote teams.Key Responsibilities * Manage the daily administration of the Salesforce platform, ensuring stability and smooth operations. * Develop and update features within Salesforce to meet evolving business needs. * Provide comprehensive support to sales, operations, and support teams, addressing technical queries and operational requirements. * Create and maintain reports and dashboards, ensuring key performance indicators (KPIs) are readily accessible for senior management. * Conduct proactive problem and issue management to identify and resolve Salesforce-related challenges. * Supporting integration of Salesforce with Sage 200 and Trustpilot to ensure seamless data flow and enhanced functionality. * Provide ongoing training and guidance to users, promoting best practices and optimising platform use. * Offer support for contractors using Salesforce Field Service, ensuring system effectiveness and field accessibility. * Address ad-hoc requests from various departments, adapting Salesforce functionality to meet unique requirements.Required Skills, Experience, and Qualifications * Proven experience as a Salesforce Administrator with hands-on Salesforce configuration and support. * Salesforce Advanced Administrator certification (essential), Salesforce Data Architect certification (beneficial but not essential). * Proficiency in Apex coding, with experience in creating and adapting custom forms. * Salesforce Field Service experience configuration, adaptation, troubleshooting and development. * Experience with Salesforce configuration, including reports, custom flows, custom objects, and page layouts. * Strong written, verbal, and interpersonal communication skills, with the ability to effectively support non-technical users. * Previous experience in a first-line IT support role, with familiarity in supporting Microsoft applications. * Excellent organisational and time-management skills, with the ability to prioritise and manage multiple tasks independently. * Collaborative mindset with the self-motivation to complete tasks independently and contribute positively to the team. * Methodical and concise approach to troubleshooting and resolving technical issues.This is an exciting opportunity to play an instrumental role in driving the operational efficiency and support the growth objectives.My client offers a competitive salary based on experience and qualification level plus opportunities for professional growth including certification, skill development and continuing education to help advance your career.If you have the skills and experience for this role please apply online ASAP as immediate interviews are available

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.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.