How to Job Ltd

3 job(s) at How to Job Ltd

How to Job Ltd
Jan 01, 2026
Full time
Junior Project Manager Location: London, UK (Office: W1T 3NA; Hybrid / Remote Options) About Our Client Our Client is a top-tier technology consultancy in the heart of London's West End, specialising in digital transformation and IT infrastructure projects for blue-chip financial and professional services firms. Role Snapshot We're hiring an Entry-Level Junior Project Manager to join our Project Management Office (PMO). You'll assist senior PMs in driving small to mid-sized projects from initiation through delivery-gaining hands-on experience in both Agile and Waterfall environments. Your Day-to-Day Plan & Monitor: Build and update detailed project plans (Gantt charts, roadmaps) and track key milestones. Stakeholder Engagement: Schedule and facilitate status meetings, produce clear progress reports, and flag risks or issues. Resource Coordination: Align team members, monitor task ownership, and follow up on action items to keep projects on track. Budget Support: Assist in tracking project budgets, logging expenses, and forecasting spend against deliverables. Quality Assurance: Coordinate UAT cycles, gather stakeholder feedback, and ensure deliverables meet agreed criteria. Process Improvement: Help refine PMO templates, checklists, and best practices to boost efficiency. What You'll Bring Bachelor's degree in Business, Management, IT, or related field (or equivalent experience). Strong organizational skills with a keen eye for detail. Excellent written and verbal communication, comfortable liaising with both technical and business stakeholders. Familiarity with Microsoft Project, Excel, or similar planning tools (or eagerness to learn). Proactive, solution-oriented attitude and ability to manage multiple priorities. Some exposure to project lifecycles; any knowledge of Agile/Scrum is a plus. What You'll Get Salary: £32,000-£36,000 per annum. Flexible Working: Hybrid model-split your week between our London office (W1T 3NA) and home. Career Progression: Clear path to Project Manager within 18-24 months, backed by dedicated mentorship. Learning & Development: £1,200/year budget for PRINCE2, Agile Foundation, or other professional certifications. Culture: Regular "lunch & learns," peer coaching, and social events in the office. Impact: Play a critical role in delivering transformative projects for leading global brands.
How to Job Ltd Manchester, Lancashire
Jan 01, 2026
Full time
Data Analyst - Tech Industry (Entry-Level) Location: Manchester, UK - Flexible & Remote Working Options Available About Our Client: Our client is a pioneering tech company located in the bustling heart of Manchester, renowned for its innovative approach to leveraging data to drive technological solutions for modern challenges. As they continue to break new ground and expand into exciting markets, they are in search of an Entry-Level Data Analyst. This role is a golden opportunity for those passionate about data's power to transform the tech landscape, offering the chance to work with advanced datasets and contribute to meaningful insights and product developments. Role Overview: The Entry-Level Data Analyst will be a vital component of our client's team, tasked with analyzing diverse data sets to guide business and product decisions. Tailored for recent graduates or individuals with some initial experience in data analytics, this position is a gateway to building a career within the fast-paced tech industry. The successful candidate will enjoy a culture that promotes innovation, learning, and professional growth. Key Responsibilities: Gather, process, and scrutinize data from various sources to ensure its accuracy and utility. Perform in-depth data analysis to discover insights, identify trends, and recognize opportunities relevant to the tech sector. Craft and maintain detailed reports and dashboards, presenting data findings to both technical and non-technical team members effectively. Collaborate with product development and strategic planning teams, aligning data insights with overarching business objectives. Engage in pioneering projects, applying data analytics to navigate complex challenges and propel product innovation. Commit to continuous enhancement of data analytics skills, staying abreast of the latest industry tools and practices. Desired Qualifications: Bachelor's degree in Computer Science, Data Science, Statistics, or a related technical discipline. Solid foundation in data analysis, with a keen interest in specializing within the tech sector. Proficiency in Excel; proficiency in SQL, Python, R, or other data analysis tools strongly preferred. Awareness of the tech industry landscape, including its challenges and dynamics. Exceptional problem-solving capabilities and meticulous attention to detail. Strong communication skills, capable of simplifying complex data into digestible and actionable insights. What Our Client Offers: A competitive entry-level salary ranging from £37,000 to £42,000 per annum Extensive remote working options to support work-life balance. An engaging and inclusive work environment within Manchester's tech hub, offering abundant opportunities for networking, professional development, and career advancement. An attractive benefits package, including top-tier health insurance, a comprehensive pension scheme, and a generous holiday allowance. Exposure to leading-edge technology and a commitment to fostering your continuous learning and development in both data analytics and tech industry trends. Join a team that's at the forefront of technological innovation, leveraging your analytical skills to contribute to our client's mission of shaping the future of technology.
How to Job Ltd
Jan 01, 2026
Full time
Graduate Data Analyst Location: Shoreditch, London, UK Shoreditch is renowned for its tech startups, creative agencies, and vibrant cultural scene, making it an attractive location for young professionals and graduates eager to immerse themselves in London's dynamic tech environment. About Our Client: Our client is a rapidly growing technology startup based in Shoreditch, London. Specializing in leveraging big data and analytics to drive innovation across various industries, they are seeking a passionate and driven Graduate Data Analyst to join their team. This role offers an unparalleled opportunity to contribute to cutting-edge projects and to grow within the tech industry. Role Overview: The Graduate Data Analyst will be instrumental in analyzing diverse datasets to uncover insights, trends, and patterns that inform strategic decisions. This role is designed for ambitious graduates aiming to kickstart their careers in data analytics within a fast-paced and innovative tech environment. Responsibilities: Collaborate with cross-functional teams to define data collection requirements and analytics needs. Utilize data analysis tools and techniques to analyze large datasets, identifying actionable insights. Present findings to stakeholders through clear, concise reports and visualizations. Participate in the development of analytics models to predict trends and behaviors. Engage in continuous learning to stay abreast of the latest analytics technologies and methodologies. Qualifications: Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field, with a strong academic record. Demonstrated interest in data analysis through coursework, projects, or internships. Proficiency in at least one of the following: SQL, Python, R, or similar data analysis tools. Excellent problem-solving skills and attention to detail. Strong communication skills, with the ability to translate complex data into understandable insights. We Offer: A competitive starting salary range of £35,000 - £40,000 per annum. A vibrant office located in the heart of Shoreditch, surrounded by tech innovation and cultural hotspots. Flexible working options to support work-life balance. Comprehensive training programs and mentorship to support your career development in data analytics. An inclusive and dynamic team culture that encourages creativity, innovation, and continuous learning.