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.

About the Role
We are looking for a data-driven professional to support executive-level reporting by combining strong Business Intelligence (BI) capabilities with data engineering expertise. This role will play a key part in transforming raw data into meaningful insights, enabling leadership to make informed, strategic decisions.

Key Responsibilities

• Design, build, and maintain executive dashboards and reports (weekly, monthly, quarterly)
• Translate business and leadership requirements into data models and reporting solutions
• Develop and manage data pipelines to ensure reliable, accurate, and timely data flow
• Integrate data from multiple sources (internal systems, third-party platforms, etc.)
• Ensure data quality, consistency, and governance across reporting outputs
• Provide actionable insights and recommendations to support business strategy
• Collaborate with cross-functional teams (Finance, HR, Operations, Commercial, etc.)
• Automate reporting processes to improve efficiency and scalability

Requirements

• Proven experience in Business Intelligence, Data Analytics, or Data Engineering roles
• Strong proficiency in BI tools (e.g., Power BI, Tableau, Looker)
• Solid SQL skills and experience working with large datasets
• Experience with data pipeline tools and programming languages (e.g., Python, ETL tools)
• Understanding of data warehousing concepts and data modeling
• Strong analytical thinking and problem-solving skills
• Ability to communicate insights clearly to non-technical stakeholders (including executives)
• High attention to detail and strong sense of ownership