Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What will you be doing? 

Securing delivery on your projectsCommunicating your work and achievements among the teamWorking closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needsEnsuring that your solutions are bringing values to the client problematicBeing a good team player, knowing your role and responsibility in the global ambition

Key Responsibilities:

• Data Quality Analysis & Remediation: Collect, extract, and clean data from various sources to prepare comprehensive datasets for analysis This includes handling missing data, removing inconsistencies, and ensuring the data is structured correctly for further analysis.
• Analyze data using appropriate statistical techniques and tools to uncover trends, patterns, and anomalies in the information. This could involve anything from simple descriptive analysis to more complex exploratory data analysis
• Validate and cross-check analysis results to ensure accuracy. This involves verifying calculations, comparing findings against external or historical data for consistency, and investigating any irregularities in the results. Data Analysts are expected to be vigilant about data quality during analysis, catching any issues that might have passed initial data processing.
• Create clear, concise reports and visualizations to communicate findings. While the focus is on analysis rather than just creating dashboards, analysts will use tools like Power BI to illustrate key insights. They should present data in an understandable way for internal stakeholders, writing summaries that interpret the numbers and highlight important conclusions.
• Work closely with statisticians and other team members to interpret results and refine analysis approaches. This collaborative approach ensures that the analysis aligns with methodological standards and project goals. Analysts may adjust their methods based on feedback, contribute to discussions on what the data means, and help integrate their findings into broader census reports.

Key Qualifications:

• Bachelor’s degree in a quantitative field such as Statistics, Data Science, Economics, Mathematics, or similar. This educational background provides a solid foundation in data analysis techniques and statistical reasoning.
• Strong proficiency in data analysis tools and languages, particularly SQL for database querying, Excel for data manipulation, and programming in Python or R for more advanced analysis and automation. Experience with statistical libraries or packages (e.g., pandas, R’s tidyverse) is highly valuable.
• Demonstrated ability to perform in-depth data analysis and not just generate visuals. We need analysts who can write complex queries, perform calculations, and apply statistical tests if necessary – beyond assembling dashboard components. An analytical mindset and attention to detail are crucial for interpreting data correctly and spotting outliers or errors.
• Familiarity with business intelligence and visualization tools, especially Power BI, to aid in presenting analysis outcomes. While creating polished dashboards is not the primary focus, the analyst should be capable of using Power BI (and similar tools like Tableau if needed) to turn data into interpretable charts and graphs for reporting purposes. They should also understand data visualization best practices to communicate information effectively.
• Excellent communication skills, both written and verbal, with the ability to explain data findings in layman’s terms. A collaborative attitude is important, as Data Analysts will frequently interact with other teams (IT, field operations, subject-matter experts) to gather context and ensure that analyses meet the needs of the census project. They should be proactive in sharing insights and contributing to data-driven decisions within the organization.

Reporting of the Role

This role will report to eCommerce Manager.

3 Best Things About the Job

• Opportunity to develop a team fit for the changing nature of digital advertising, where 3rd-party data is becoming less prominent.
• A fun, flexible work environment that combines the best of entrepreneurialism while being part of one of the largest marketing services groups in the world.
• Working within a proven, high-performing team with excellent support and development opportunities.

Measures of Success

In three months, you will have:

• Become familiar eCommerce services, tools, and client business.
• Developed a strong understanding of the various platforms and systems powering search and eCommerce media.
• Worked closely with the Campaign Delivery Team and Client Leadership teams to optimize overall campaign performance.

In six months, you would have:

• Independently provided eCommerce solutions for ad-hoc client requests.
• Delivered flawless and timely biddable media campaigns that meet pre-determined KPIs.
• Taken control of the eCommerce Sr. Executive role to become a trusted advisor to the client by justifying recommendations, managing timelines, and delivering outcomes.
• Improved workflow efficiencies across teams.
• Stayed on top of betas and innovations in the digital space and articulated their relevance to internal and external stakeholders.

In 12 months, you would have:

• Provided strategic insights on eCommerce offerings.
• Increased volumes for Paid Search and eCommerce.
• Worked closely with Campaign Delivery and Client Leadership teams to deliver integrated proposals for existing clients.
• Identified new eCommerce trends and opportunities for business growth and implemented action plans, collaborating with data and analytics teams to plan out deliverables.

Responsibilities of the Role

• Act as an expert in eCommerce, responsible for planning and optimizing the effectiveness of Search and eCommerce campaigns.
• Plan media across platforms like Lazada, Shopee, Meta, and FSA (Grab & Foodpanda).
• Demonstrate outstanding ability to think creatively and troubleshoot problems.
• Execute tests, collect and analyze data, identify trends, and provide insights.
• Gain knowledge and experience to support the team in developing eCommerce strategies for existing business.
• Keep pace with industry trends and developments, aiming to be first to market with innovative approaches.
• Serve as the Search and eCommerce Champion and point of contact within the group.
• Build close relationships with vendors such as Lazada, Shopee, Grab, Foodpanda, Meta, and Amazon.
• Maintain a deep understanding of client business goals and marketing objectives, translating them into digital strategies.
• Communicate effectively and demonstrate strong planning, organizational, problem-solving, and analytical skills.
• Prepare and present strategic media recommendations to clients and agency management, including objectives, strategy, rationale, and projections.
• Supervise the implementation of all biddable media campaigns.
• Stay updated on current events, digital media trends, and industry developments that impact business.
• Serve as an expert in performance optimization.

What You Will Need

• Minimum of 2–3 years’ experience in a biddable media and client-facing role.
• Strong understanding of all Search and eCommerce platforms (e.g., Lazada, Shopee, Amazon).
• Proven success in running audience-based, performance-driven, and direct response campaigns.
• Proficiency in Microsoft Excel and automated dashboards; analytical mindset that is both creative and data-driven.
• Bachelor’s degree required; concentration in advertising, marketing, business administration, or communications preferred.
• Excellent understanding of media fundamentals.
• Strong quantitative skills, including analytical abilities and math proficiency.
• Ability to meet tight deadlines while delivering flawless work.
• Excellent verbal and written communication skills.
• Ability to train and demonstrate leadership capability.
• Genuine curiosity and interest in clients and their businesses.