Analyst - Data

Posted 2 Days Ago
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Singapore
Entry level
Marketing Tech
The Role
The Data Analyst will support data-driven decision-making by collecting, cleaning, and analyzing data. Responsibilities include data extraction, ensuring accuracy of datasets, creating reports and visualizations, and assisting with data collection. The role allows for skill development while contributing to the team's success.
Summary Generated by Built In

Job Title: Analyst - Data

About Gain Theory

Gain Theory is part of WPP, a creative transformation company that uses the power of creativity to build better futures for its people, planet, clients, and communities.

Gain Theory is a global marketing effectiveness consultancy, that uses data and analytics to deliver successful business outcomes for clients. Our vision is to inspire marketing excellence by helping marketers focus on the right data, not ‘big data’, asking and answering the questions that drive business value. We pair consultancy and technology to foster a data-informed culture that helps to drive sustainable business growth.

 What’s the Vision?

Gain Theory’s vision is to accelerate growth for ambitious brands and our mission is to deliver this growth by empowering smarter, faster, data-informed cultures.

What you’ll do

The Role: What will I do?

As a Data Analyst / Data Engineer, you will support data-driven decision-making by collecting, cleaning, and analysing data from various sources. You will also assist in creating reports, dashboards, and visualisations to communicate insights effectively. This role provides an opportunity to learn and develop your data analysis skills while contributing to the team's success.

The Data Analyst is responsible for several areas in the data processing:

In 3 - 6 months

  • Undertake data extraction, manipulation, formatting and analysis.
  • Analyse datasets to ensure that each KPI is understood and can be explained back to the team.
  • Ensure that all tables, charts and other information produced by you or others has been checked for accuracy and formatted to Gain Theory standards before passing on to senior project team.
  • Provide support to more senior colleagues in data collection, including preparing and sending data requests, chasing outstanding data, and querying data with clients and agencies.

In 6 - 12 months

  • Thoroughly understand the data infrastructure and able to handle data processing independently.
  • Actively seek more efficient ways of doing things for yourself and others and turn suggestions into actions including in service and product development.
  • Demonstrate flexibility and work across multiple clients/projects at a time as directed by your project manager.

Qualifications

  • Bachelor’s degree in marketing, Statistics, Computer Science, Information Science, Engineering, or related quantitative field
  • Proficiency in SQL and Python is crucial for data manipulation, querying, and analysis.
  • Knowledge of Tableau / Power BI tools to create clear and impactful data visualisations.
  • Understanding of marketing, statistics, or related fields to apply data analysis to business problems.
  • The ability to interpret data, identify trends, and draw meaningful conclusions.
  • The willingness to learn new tools and techniques as the field of data analytics evolves.

Why work for us?

Gain Theory is committed to actively building a diverse, equitable and inclusive workplace where everyone feels welcomed, valued and heard, and is treated with dignity and respect.  As leaders and creative partners across industries, it is our responsibility to cultivate an environment reflective of our greatest asset; our people. We believe that this commitment inspires growth and delivers equitable outcomes for everyone as well as the clients and communities we serve.

Gain Theory is a WPP-owned consultancy. For more information, please visit our website and follow Gain Theory on our social channels via LinkedIn and Twitter

Gain Theory is committed to actively building a diverse, equitable and inclusive workplace where everyone feels welcomed, valued and heard, and is treated with dignity and respect.  As leaders and creative partners across industries, it is our responsibility to cultivate an environment reflective of our greatest asset; our people. We believe that this commitment inspires growth and delivers equitable outcomes for everyone as well as the clients and communities we serve.

Gain Theory is a WPP-owned consultancy. For more information, please visit please visit our website and follow Gain Theory on our social channels via LinkedIn and Twitter.

Note: We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment.

When you click "Submit Application", this will send any information you add to Gain Theory. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy.  California residents should read our California Recruitment Privacy Notice which explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it. 

Top Skills

Python
SQL
The Company
HQ: New York, NY
174 Employees
On-site Workplace
Year Founded: 2015

What We Do

Gain Theory is a global marketing effectiveness and foresight consultancy with expertise in data, advanced analytics, and technology. We exist to accelerate growth for ambitious brands by empowering smarter, data-informed marketing investment. Our experts fuse hindsight, insight, and foresight to improve investment decisions and activate growth at speed.

Gain Theory is a recognized Leader in The Forrester Wave™: Marketing Measurement and Optimization, Q3 2023.

Available in 58 markets, our award-winning solutions and highly specialized vertical expertise support clients via five measurement and optimization pillars:

Marketing Effectiveness Index: The MEI diagnostic tool that pinpoints the barriers to and opportunities for growth – a great place to start your journey with us.

Data excellence: When it comes to data, we’re focused on quality because your most important investment decisions need to be informed by the best possible data.

Sources of growth: Understanding where growth has come from in the past, is coming from today, and will come from in the future is vitally important as it enables you to target your investment more effectively.

Levers of growth: When you know where your growth will come from, you then need to know how you can accelerate it using MMM, attribution, unified measurement, and test and learn.

Foresight: Much of the data that marketers rely on to make decisions is inherently backward looking. We can help you to plan more accurately for what might happen in the future.

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