Business Planner/data analyst assistant

Bolton
1 month ago
Applications closed

Related Jobs

View all jobs

Maintenance Planner

Demand Planner - High-Growth FMCG Company

Senior Digital Content Marketing Executive

Commercial Customer Experience Specialist

Business Data Specialist

Lead Data Engineer - Microsoft Fabric

The Business Planner/data analyst assistant salary is from £27k per annum dep on exp.
The hours of work are 37, Mon-Thu 8-5pm and Fri finish at 12pm.
The role of the business planner/data analyst assistant is to assist the Business Planning Manager to create and update schedules enabling the business to achieve client demands and to provide data to measure performance.
Responsibilities & Duties:Business Planner/data analyst assistant
•
Scheduling of engineering and manufacturing tasks to meet contract and business demands
•
Updating of schedules in line with progress and contractual movement
•
Compilation and issue of weekly engineering & production schedules.
Analysis of planned v actual hours
Progress tracking of activities and updating contract tracker
Alignment of project demand with business demand
Pipeline analysis of capacity/loading
•
Business performance analysis
•
Preparation of data for analysis and visual management
•
Management of MRP system
•
Any other ad hoc duties as may be required, and as commensurate with the grade of post.
Qualifications, Knowledge, Experience & Skills:Business planner/data analyst assistant
•
Excellent Microsoft Excell skills essential
•
Microsoft Power BI experience desirable
•
Experience of business scheduling or data analytics desirable
•
Experience of MRP/ERP systems
•
Excellent communication skills
•
Experience of working in a manufacturing environment is advantageous
The business Planners position is full time and a perm staff position.
Benefits for staff positions include
HYBRID WORKING
4 AND 5-DAY WEEK
PATTERNS
25 DAYS ANNUAL LEAVE *
STATUTORY HOLIDAYS
SERVICE DAYS
COMPANY SICKNESS SCHEME
PROFESSIONAL MEMBERSHIP
PENSION 5% -SALARY SACRIFICE
LIFE ASSURANCE
HEALTHCARE PACKAGE
FREE FRUIT EVERY WEEK
TEA & COFFEE
OCCUPATIONAL HEALTH
FREE EYE TESTS
CONTRIBUTION TO GLASSES
MENTAL HEALTH ,FIRST AIDER SUPPORT
ON-SITE PARKING
GAINSHARE/BONUS SCHEME

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

🍪 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.