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Data Analyst

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VML

1mo ago

  • Job
    Full-time
    Junior Level
  • Data
  • London

AI generated summary

  • You need 1-2 years in a quantitative field, strong SQL/ETL skills, cloud experience, ad ecosystem knowledge, project management skills, and excellent communication abilities.
  • You will process and organize diverse data, utilize SQL and ETL techniques, ensure data quality, collaborate with teams, and coordinate data flow with clients while innovating data automation processes.

Requirements

  • Background (1-2 years+) in Computer Science, Data Science, Data Engineering Information Science, Business Intelligence or related quantitative field
  • In depth experience with all things data including ability to work with a variety of datasets from multiple sources, familiar with standard data processing tools/concepts (e.g. SQL, NoSQL ETL), and experience driving robust QA processes
  • Experience with the advertising ecosystem (e.g. ad trafficking, Ad servers, DSPs, Media Strategy and Activation, etc.) and a working knowledge of appropriate metrics, measurement, and reporting
  • Required skillsets: SQL, ETL, Cloud Compute/Storage (Azure or AWS)
  • Nice to have skillsets: Snowflake, Python, GIT
  • Experience with DBT is valuable but not required
  • Has project management skills including planning tasks and deliverables, managing timelines and risks, and overseeing simultaneous projects
  • Organized, detail-oriented, QA-focused
  • Excellent written, verbal, and presentation skills
  • English proficiency

Responsibilities

  • As a Data Analyst, you will be part of the Gain Theory Data Practice and will be embedded in one of Gain Theory's client based squads.
  • Working with your manager, you will be working on some of the top brands in the world and be hands on with data ranging from media, client specific, Gain Theory specific, sales, and more.
  • You will work as part of a team to process and organize data in preparation for modeling.
  • You will be challenged and have the opportunity to help innovate and automate.
  • The Data Analyst is expected to make use of data processing techniques including SQL and ETL to handle the data.
  • They will also utilize our internal data automation tools to ensure data pipelines, which clean and transform data, are executed effectively.
  • This person will also run robust data QA processes.
  • The quality of our data is the lifeblood of our work.
  • Additionally, the Data Analyst will work with the Data Manager on co-ordinating with client and agency contacts around continued flow of data from relevant data sources.
  • The role will also interact with the wider data community within Gain Theory, especially with members of the Data Centre or Excellence (DCOE) to share best practice and both provide and receive support.
  • Our teams bring together cutting-edge data engineering, advanced analytics, unified measurement products and enterprise scalable engineering to build products that will shape the next decade of faster, smarter, data informed decision-making.
  • We believe that consumer privacy, client confidentiality, brand growth and user experience are essential to performance.

FAQs

What qualifications are required for the Data Analyst position?

The position requires a background of 1-2 years in fields such as Computer Science, Data Science, Data Engineering, Information Science, Business Intelligence, or related quantitative fields.

What technical skills are necessary for this role?

Required skillsets include SQL, ETL, and experience with Cloud Compute/Storage (Azure or AWS). Nice to have skillsets include Snowflake, Python, and GIT.

Is experience in the advertising ecosystem important for this role?

Yes, experience with the advertising ecosystem, including ad trafficking, ad servers, DSPs, and understanding appropriate metrics and reporting, is beneficial.

What are the expectations for teamwork in this role?

The Data Analyst will work as part of a team to process and organize data, collaborate with the Data Manager, and engage with the wider data community within Gain Theory.

Is prior experience with DBT required?

No, experience with DBT is valuable but not required.

What personal attributes are important for applicants?

Applicants should be organized, detail-oriented, QA-focused, and possess excellent written, verbal, and presentation skills.

How does Gain Theory foster a diverse and inclusive workplace?

Gain Theory is committed to building a diverse, equitable, and inclusive workplace where everyone feels welcomed, valued, and heard, treating individuals with dignity and respect.

What does "Make it Better" mean at Gain Theory?

"Make it Better" emphasizes continuous improvement, stretching abilities, and being honest with oneself and others.

What kind of benefits does Gain Theory offer?

Gain Theory offers brilliant benefits, along with a culture that emphasizes growth, development, and meaningful work.

What is the main vision of Gain Theory?

The vision of Gain Theory is to accelerate growth for ambitious brands by giving clients the confidence to make better data-informed investment decisions.

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VML

We create connected brands to drive growth.

Marketing & Advertising
Industry
10,001+
Employees

Mission & Purpose

VML is a global powerhouse born from the unification of Wunderman Thompson and VMLY&R — two of the world's most powerful and accomplished creative agencies with complementary capabilities and geographic strengths. We have an industry-unique opportunity to provide our client partners with a fully integrated offering across brand experience, customer experience and commerce practices — powered by deep data and technology experience.