Acolad is hiring a

Data Analyst

Boulogne-Billancourt, France
Full-Time

Acolad is the global leader in content and language solutions. Its mission is to support companies in every industry to scale across markets and enable growth through cutting-edge technology and localization expertise. Established in 1993, the group is present in 23 countries across Europe, North America, and Asia, with over 1.800 employees supported by a network of +20.000 linguists around the world.

At Acolad, every position is key to our global growth: we know that we will only succeed if our people succeed.

Joining Acolad means a unique opportunity for professional development through a collaborative global environment that promotes talent and creativity. We are continuously looking for new talent (like you!) to support our mission to drive growth and innovation across some of the world’s leading brands.

We are seeking a motivated and detail-oriented Entry-Level Data Analyst to join our team. The ideal candidate will be passionate about data, possess strong analytical skills, and be eager to solve complex problems. As a Data Analyst, you will work closely with business partners across various departments to support data-driven decision-making. This role offers a great opportunity to work on a wide range of subjects, always in a hands-on capacity.

Key Responsibilities:

  • Analyze data provided by data engineers to support business operations and decision-making.
  • Develop and maintain reports using Tableau and manage them in Tableau Cloud to provide insights to business partners.
  • Write complex SQL queries to extract and manipulate data from databases.
  • Utilize Python for data analysis and/or automation.
  • Collaborate with cross-functional teams to understand their data needs and provide actionable insights.
  • Present findings and recommendations to stakeholders in a clear and concise manner.
  • Continuously seek to improve processes and data quality.
  • Stay curious and proactive in identifying new opportunities and challenges within the data.

Requirements

  • Master’s degree in Data Science, Analytics, Computer Science, or a related data-focused field.
  • Fluency in English is required.
  • Proficiency in SQL for data extraction and manipulation.
  • Experience with Tableau (or equivalent) for data visualization and management in Tableau Cloud (or equivalent).
  • Strong knowledge of Python for data analysis and scripting.
  • Excellent analytical and problem-solving skills.
  • Strong attention to detail and a commitment to data accuracy.
  • Effective communication skills, with the ability to explain complex concepts to non-technical stakeholders.
  • Curiosity and eagerness to tackle new challenges.

Preferred Qualifications:

  • Internship or academic project experience in data analysis or a related field is a plus.
  • Knowledge of data warehousing concepts and tools is advantageous.
  • Experience working with large datasets is a plus.

Benefits

  • Competitive salary and performance-based bonuses
  • Work in an international and multi-cultural environment
  • Up to 2 days remote per week

Acolad is committed to creating a diverse and equitable workforce. We believe that diversity, equity, and inclusion in all its forms - gender, age, disability, marital status, ethnic or social origin, religion, belief, or sexual orientation - enrich the workplace. It opens opportunities for individuals to express their talents, both individually and collectively, and strengthens our ability to adapt to a changing world. As an equal opportunity employer, we welcome and consider applications from all qualified candidates, regardless of their backgrounds.

Apply for this job

Please mention you found this job on AI Jobs. It helps us get more startups to hire on our site. Thanks and good luck!

Get hired quicker

Be the first to apply. Receive an email whenever similar jobs are posted.

Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Data Analyst Q&A's
Report this job
Apply for this job