Junior Data Analyst - HR

Ortolan Group
Basildon
5 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Data Science Manager – Gen/AI & ML Projects - Bristol

Data Science Manager Gen/AI & ML Projects

Junior Data Analyst - HR

Basildon, Essex

Hybrid working: 3 days office/2 days home per week

Competitive + Bonus + Benefits

Are you passionate about data and its potential to drive business success? If you're a junior HR data analyst or recent Data Science, Mathematics, Finance or Statistics Graduate with a keen interest in workforce data and people analytics, then we want to hear from you!

Join us to help improve peoples' lives and make healthcare better for everyone!

Why Pharmanovia?

Pharmanovia is a dynamic, fast-growing international pharmaceutical company with a portfolio of over 20 brands across more than 160 markets. Our mission is to improve patient health globally through the revitalisation of niche, tried-and-trusted medicines.

Our core behaviours are:

  • We act decisively but we never compromise on quality.
  • We keep our promises and do as we say.
  • We value our heritage and foster an entrepreneurial spirit.
  • We reinvest in our future - in our products, our brands and our people.
  • We give back to our communities.

Since its inception in 2013, Pharmanovia has grown consistently year on year, focusing on delivering high-quality branded prescription medicines to patients, prescribers, and healthcare providers across the world. Our growth has enabled the company to reinvest in its products, brands, people, and to give back to its communities. A people business with a strong, supportive culture that encourages innovation and entrepreneurial spirit, our team comprises over 300 employees and 29 nationalities, operating from offices in the UK, Denmark, Netherlands, Switzerland, U.A.E., India, Singapore, Italy, Spain, and South Korea.

We are an agile and imaginative global specialty pharma business and a preferred partner for innovator pharma companies, instigating a paradigm shift in the life cycle management of iconic medicines. We seek to extensively engage with clinical communities to communicate product improvements and prioritise environmental, social, and governance considerations across the business and workforce.

Pharmanovia's therapeutic areas include Cardiovascular, Oncology, Endocrinology and Neurology.

About the role:

You will be involved in working with enormous amounts of HR data and collaborating with the HR team, playing a vital role in supporting decision-making by providing valuable insights to the function and the wider business. Your primary focus will be on collecting, analysing, and interpreting HR data to identify trends, patterns, and opportunities for improving HR processes and initiatives. You will also be responsible for the accuracy and timely input of the data entered into the HR system (SuccessFactors).

This role requires a strong analytical mindset and the ability to translate complex HR data into meaningful reports and presentations. This role will suit a recent data science, mathematics or statistics graduate with 1-2 years' proven experience in data analysis or similar field.

Responsibilities:

  • Conducting statistical analyses and predictive modelling to support HR initiatives and identify potential risks or opportunities.
  • Collaborate with HR stakeholders to understand data requirements and develop reports and analytics to meet their needs.
  • Collecting, collating, and analysing HR data from various sources, employee surveys, performance evaluations, and other relevant systems.
  • Using data analysis techniques to identify trends, patterns, correlations, and insights related to HR metrics and key performance indicators (KPIs).
  • Developing and maintaining HR dashboards, reports, and visualizations to effectively communicate HR data and insights to C-suite and the wider business.
  • Provide HR data-driven insights and recommendations to support strategic decision-making and drive HR initiatives.
  • Stay updated with HR trends, industry benchmarks, and best practices to enhance HR data analysis capabilities.
  • Participate in HR projects including HR system implementations, process improvements, and automation.
  • Support HR with special projects including regulatory reporting, audits, and compliance.
  • Provide training and guidance to HR team members on data analysis tools and techniques.
  • Data entry into HRIS, auditing the HR data and systems and ad hoc HR duties.

About you - what you will need to have:

  • Great interpersonal skills and the ability to build relationships at all levels.
  • Strong analytical and problem-solving skills, with the ability to extract insights from complex HR data sets.
  • Advanced proficiency in using data analysis tools and programming languages, such as MS Excel or other statistical software.
  • Proven experience as a data analyst or similar role.
  • Experience with data tools and the ability to create compelling reports.
  • Knowledge of HR processes, workflows, metrics, and KPIs desirable.
  • Ability to work independently and collaboratively in a team environment.
  • Bachelor's degree in data science, mathematics, statistics, or a related field.

What we offer:

We offer a competitive salary plus bonus and rewards package including holiday, health & wellbeing program, employee recognition awards and social events.

By applying for this role, your details will be sent to Ortolan People, who are engaged to provide recruitment support in processing applications. We will endeavour to respond to all applicants within three working days. Occasionally for roles with a very high volume of applicants, this may not be possible.

SlRhcGxpbi44ODA2OC4xMjI3MUBvcnRvbGFuZ3JvdXAuYXBsaXRyYWsuY29t.gif

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.

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

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

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

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.