Data Analyst

4 weeks ago

Reading UK, Berkshire, United Kingdom Profiles by Kantar Full time

Kantar is the world’s leading market-research and analytics company. We have a complete, outstanding, and rounded understanding of how people think, feel and act; globally and locally in over 90 markets. By combining the deep expertise of our people, our data resources and benchmarks and our innovative analytics and technology, we help our clients understand people and encourage growth.


Backed by industry-leading anti-fraud technology, our Profiles Audience Network comprises over 170 million individuals, in more than 100 markets worldwide. Our clients include many of leading brands, who trust us to collect reliable insights.


Join our expert team in survey design, sampling methodologies, and data science. We bring to bear ground breaking technology to provide our clients with seamless access to real people and unparalleled insights.


Job Summary

In this role, you will chip in to User Acquisition and User Engagement of our Panels using innovative data analytics and data science technology, evolving your skills and staying at the forefront of the data industry. We are seeking candidates with experience in a data-related role, possessing a proven foundation in programming (Python and SQL) and a passion for redefining data into actionable insights.


Responsibilities

  • Daily Evaluation: assess support tickets related to Machine Learning models/algorithms developed by the Data Science team.
  • Monitoring and Maintenance: lead all aspects of alerts to ensure the ecosystem's functionality, working with models for day-to-day operations and performance.
  • Data Analysis: analyse user acquisition and retention data, identifying weaknesses and bugs in existing models for resolution.
  • Analytics and Machine Learning: run analytics to extract statistics, patterns, and eventually craft machine learning models to improve existing technologies.
  • Work closely with the development team, contributing to data/statistics tasks for improving user engagement.
  • Collaborate with various partners (including the Developer team) to formulate pertinent questions, providing actionable insights and analyses to support decision-making efforts.
  • Communicate technical information with both technical and non-technical team members and collaborators.
  • Data Transformation: employ ETL tools like DBT to transform data, making it more accessible to the broader business.
  • Use time series graphing services such as Grafana to build visualisations, supervise trends, and identify patterns.
  • Define critical metrics to drive improvements in User acquisition and engagement performance.


What you’ll bring…

  • Experience with data-related technologies, including database queries, programming, data mining/wrangling, analysis, and reporting.
  • Strong proficiency in SQL, with the ability to read, write, and query effectively.
  • A keen curiosity about data, statistics, machine learning, and data science is essential.
  • Strong problem-solving skills with an emphasis on product development, logical thinking, and critical analysis.
  • Experience with statistical computer languages such as Python, Scala, R, MATLAB.
  • Knowledge of statistical techniques and concepts, including regression, properties of distributions, statistical tests, and accurate usage.
  • Experience using web services and languages, including AWS, EC2, S3, Redshift, DigitalOcean, etc.
  • Detail orientated, with a good work ethic and the ability to collaborate across different teams.
  • Experience in Excel is a plus.


At Kantar, we have an integrated way of rewarding our people based around a simple, clear and consistent set of principles. Our approach helps to ensure we are market driven and also to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver.


Benefits include: starting with 25 days annual leave (increasing with tenure), private medical health cash plan, income protection, life assurance, enhanced employer pension contribution; plus award winning voluntary flexible benefits (lifestyle, health, wealth, wellbeing).


We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.


We are not able to offer visa sponsorship or assist with relocation support for this role. Please ensure you have the right to work in the country where this role is located before applying.

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