Aptean India is Looking for Data Analyst | Aptean India

Globalhrcommunity
Leicester, England
10 months ago
Applications closed
Posted
10 Jul 2025 (10 months ago)

Aptean - Analyst Role

Aptean is a private-equity backed software company that connects companies in specific industries with specialized software solutions. In today’s fast-paced, highly competitive economy, organizations rely on industry-specific software solutions to streamline operations and avoid workarounds with homegrown software, spreadsheets, or generic solutions. Over 6,000 organizations across more than 20 industries and 80 countries trust us to simplify their daily operations.

The Role

We are seeking an Analyst with strong Excel skills and project management experience to join our dynamic team. You will analyze operational data, identify improvement opportunities, and manage projects that enhance process efficiencies across our operations.

Key Responsibilities

  • Analyze complex datasets to identify trends, inefficiencies, and optimization opportunities.
  • Develop and automate reports using QlikSense, Excel (advanced functions, VBA, Power Query), and other BI tools.
  • Lead and manage process improvement projects to ensure timely delivery and measurable results.
  • Collaborate with operations, technology, and commercial teams to drive continuous improvement initiatives.
  • Develop and monitor KPIs to evaluate performance and identify trends.
  • Support process automation and system enhancements.
  • Conduct root cause analyses and recommend actionable solutions to streamline workflows.
  • Facilitate cross-functional project teams to ensure clear communication and stakeholder engagement.
  • Identify risks and dependencies, proactively addressing project challenges.

About You

  • Strong analytical mindset with a passion for data-driven decision-making.
  • Advanced Excel skills (including Pivot Tables, VLOOKUP, INDEX/MATCH, VBA, and familiarity with QlikSense is a plus).
  • Proven project management experience, capable of leading multiple initiatives.
  • Experience in logistics, supply chain, or technology-driven environments is preferred.
  • Knowledge of process improvement methodologies such as Lean or Six Sigma.
  • Excellent communication and stakeholder management skills.


#J-18808-Ljbffr

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.