Data Analyst - Python

Arsenault

Glasgow

On-site

GBP 40,000 - 55,000

Full time

14 days+

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Job summary

A leading data insights company in Glasgow seeks a Data Analyst with a strong understanding of numerical and analytical skills. The ideal candidate will support data scientists by conducting quality control analyses and data investigations, requiring proficiency in Python and excellent communication. Join our diverse team where mental health and well-being are prioritized. This full-time permanent position offers the opportunity to contribute to cutting-edge data projects.

Qualifications

  • Intermediate level of programming with Python or R/MATLAB.
  • Strong communication with peers and clients.
  • Ability to work independently and drive results.
  • Strong attention to detail and accuracy in data work.
  • Demonstrated critical thinking in data analysis and problem solving.
  • Bachelor's degree in a numerate discipline with solid mathematical understanding.
  • Solid grasp of mathematical and statistical concepts.

Responsibilities

  • Conduct data investigation for quality and completeness.
  • Spot anomalies and draw conclusions.
  • Handle quality control of modelling outcome data.
  • Ensure quality control of modelling outputs for generic and client-specific applications.
  • Assist with client liaison on technical issues.
  • Represent the business at industry events.

Skills

Numerical analytical skills
Data investigation
Communication capabilities
Attention to details
Critical thinking

Education

Bachelor's degree in a highly numerate discipline

Tools

Python
R
MATLAB

Job description

Job Title

Data Analyst - Python

Employment Details

Full time/Permanent

Role Description

Arsenault is the world’s leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, nobody knows people better than Arsenault. We provide insight and inspiration to help our clients, our people and society to create and flourish in an extraordinary world.

Our media colleagues are experts in understanding the changing media landscape. This includes audience measurement, consumer targeting and in-depth intelligence into paid, owned and earned media. Their global coverage and local expertise enable clients to better understand media audiences and their relationships with brands to optimise investment.

Within the Data Science team, the data analyst supports other data scientists and developers with necessary data queries and runs periodic Quality Control analyses on live services. Critical thinking, analytical mind and clear communication are crucial as the data queries and checks should be mostly initiated and designed by the data analyst to facilitate the modelling workflow, and then communicated to the rest of the team.

Job Role Requirements

Responsibilities

  • Strong understanding of numerical and data analytical skills
  • Data investigation for quality and completeness of model input data
  • Able to spot anomalies and gain conclusions
  • Quality control of modelling outcome data for generic models and client specific applications
  • Support with clients liaison on technical issues
  • Represent the business at industry events
Role Requirements

Qualifications

  • Intermediate level of programming with Python (preferable), or other programming languages (e.g., R, MATLAB)
  • Strong communication capabilities (peers and, occasionally, clients)
  • Capability of taking initiative, working independently, driving results
  • Attention to details and accuracy
  • Critical thinking
Education and experience
  • Bachelors degree in a highly numerate discipline
  • Excellent understanding of mathematical and statistical concepts
Equality and Diversity

We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health and wellbeing is taken into consideration. We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes.

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