Data Analyst

The Data Analyst will work with clients to design and deliver analytical solutions that help solve business problems and drive data-informed decision-making. This role offers the opportunity to work across a wide range of analytical tasks for our production clients, enabling them to fully leverage the data we capture to improve operational efficiency, support the development of new analytical solutions, and address key business challenges., * Analyse and interpret procurement and commercial data to generate actionable insights and support strategic decision-making.

• Collaborate closely with multidisciplinary teams worldwide, client managers, and key stakeholders to deliver high-quality analytical outputs to clients.
• Contribute to the delivery of end-to-end analytical projects and solutions, with guidance and support from senior team members.
• Track, manage, and help resolve project risks, issues, and action items throughout the project lifecycle.
• Ensure the quality, accuracy, and consistency of analytical deliverables through robust cleansing, transformation and validation practices.
• Manage priorities effectively to meet project deadlines in a fast-paced environment.
• Work with client teams and senior members of DSA to develop clear, client-ready presentations, both technical and non-technical.
• Support data validation, cleansing, and transformation activities to ensure high data quality.
• Identify opportunities to improve analytical processes, automation, and reporting efficiency.
• Ensure all work is properly documented.

Do you have experience in SVN?, * Strong programming skills in SQL; experience with Python is a plus.

• Experience in commonly used database platforms: MySQL, Amazon Redshift, Snowflake.
• Good data mining, data manipulation, and analytical techniques.
• Strong attention to detail and highly accurate work.
• Excellent communication skills, both written and verbal
• Self-starter with proactive attitude and enthusiasm for data. Able to collaborate in a team environment and work independently.
• Able to prioritise tasks and manage expectations for own work.
• Eagerness to learn and a proactive "can-do" approach. A degree or equivalent in a numerical, analytical, or technical subject (e.g., Mathematics, Statistics, Computer Science, Economics).

Desirable:

• Basic understanding of statistics and data modelling.
• Familiarity with DBT, data pipelines, and cloud environments, supporting the development of efficient and scalable data workflows.
• Low-code or no-code tool knowledge (e.g., Retool).
• Experience using version control tools such as Git, GitHub, or SVN
• Familiarity with agile ways of working in a team environment.

As a next-generation brand activation agency, adm Indicia's purpose is to simplify our clients' below-the-line marketing, build sustainable ROI and engage their customers across the path to purchase. Everything we do is optimised through leading strategic capability and actioned through executional excellence. We transform marketing compromise into a powerful co-promise, creating and activating meaningful brand experiences that drive ROI. Brands have had to juggle multiple agencies, struggle to see value in ever-increasing customer data, and deliver disconnected digital and physical experiences - just some of the compromise frustrating marketing for too long. With joined-up strategy, execution and seamless activation, our combined expertise means we can help brands deliver impact through every stage of the customer journey. Founded in 1992, we have a global footprint with 46 offices in 33 countries, allowing us to deliver local activation of global strategies for brands across the world. Recognized with a platinum rating by EcoVadis for sustainability, we are experts at identifying the most impactful and sustainable solutions for over 800 brands around the globe.     If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.