Big Data Analyst

Apple Inc.; London; On-site; GBP 60,000 - 85,000; Full time

Job summary

A leading technology company is seeking an experienced data analyst in London. The successful candidate will work on large-scale data to uncover trends, automate insights presentation, and collaborate with teams on advanced data science solutions. Candidates should have a strong background in data analytics and visualization tools.

Qualifications

• 5+ years in an analytics or data engineering role.
• Experience with data visualization tools such as Tableau.
• Fundamental understanding of statistical analysis, forecasting, and modeling.

Responsibilities

• Dive deep into large-scale data to uncover trends and identify insights.
• Build and automate dashboards to present key insights.
• Collaborate with machine learning engineers for building data solutions.

Skills

Data analytics

SQL

Python Pandas

Data visualization

Education

Bachelors degree in a quantitative field

Tools

Tableau

GGplot

Job description

London, England, United Kingdom Software and Services

Description

Dive deep into large-scale data to uncover trends and identify key insightsPartner with data engineers and project managers to conduct data investigation analysisBuild and automate dashboards used to present key insights to partnersCollaborate with researchers and machine learning engineers for building data science and machine learning solutions such as anomaly detectionFacilitate cross-functional discussion to find out what is the right technical resolution to the business problems

Minimum Qualifications

• 5+ years in an analytics or data engineering role
• Background in data analytics, proficient in SQL or Python Pandas
• Experience with data visualization tools, such as Tableau, GGplot, Keynote etc
• Fundamental understanding of statistical analysis, forecasting and modeling

Preferred Qualifications

• Experience in coding for automation (e.g. Scala, Python, Java etc.)
• Familiarity with writing data pipelines using one or more big data technologies (e.g. Spark, Hive, Trino, Flink, Airflow etc.)
• Familiarity with modern cloud technologies such as Kubernetes
• Familiarity with software development lifecycle for data science and engineering
• Familiarity with commerce, payments, and user experience datasets at online services
• Excellent written and verbal communication skills
• Bachelors or higher degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Operations Research or a related field)