Chinese Speaking Graduate Data Analyst

Hikvision UK & Ireland
Greater London
1 day ago
Create job alert

Chinese Speaking Data Analyst

Responsibilities

The job holder is responsible for collecting and analysing relevant operational data on various business and requirements; monitoring business performance through analysing and providing support for business growth needs.

• Gather the open order, stock data and sale data on a monthly basis and combine them together

• Responsible for monthly analysis of open order, inventory data and sales data on:

1) Hikvision Baseline Products

2) Marketing Promotion Materials

• Create various sales reports in Qlik and maintain the database

• Analyse the answering rate, the number of answers, and the opening and closing status of the case for call centre for understanding the service efficiency of the corresponding department.

• Collect customer data of exhibitions, road shows, trainings, etc., summarize and refine valuable data to the CRM system and divert it to the business department

• Combine and promote HQ product promotion strategies to analyze and manage distributors' purchasing data and inventory data.

• Manage customers by different levels in POS data (VASP/Sub distributor /unauthorized accounts) and output analysis reports on a monthly basis;

• Carry out other duties assigned by the line manager

Ideal Candidate

• Have relevant work experience.

• Advanced Excel skills

• VBA and Python Programming ability

Benefits

• Regular Company Events

• Company pension

• Life Insurance

• Sick pay

• Referral programme

•Private health insurance

• On-site parking

• 25 days of annual leave plus bank holidays

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.