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Data Analyst
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingCollect, validate and transform data from HR and business systems
Identify patterns, trends and risks in workforce and talent areas
Build and maintain dashboards, frameworks and reports for leaders
Translate complex analyses into clear narratives for business stakeholders
Work with stakeholders to understand their needs and support data-driven decisions
From the employer’s posting
Collect, analyse, validate and transform data from various HR and business systems.
Identify patterns, trends and risks across areas such as workforce planning, talent management, skills, employee experience, employee turnover and organisational development.
Build and maintain dashboards, frameworks and reports that support HR and business leaders in their decision-making.
You are a strong storyteller who can translate complex analyses into a clear, impactful narrative for business stakeholders.
Collaborate proactively with stakeholders, understand their needs and help them make more data-driven decisions.
What you’ll bring
All qualificationsCore experience
- At least two years of experience in analytics, BI or people analytics
- Master's degree in a quantitative field such as Statistics or Data Science
- Fluent English
Qualification wording
You have at least two years of relevant experience in analytics, business intelligence or people analytics.
You hold a master’s degree in a quantitative field, such as Business Engineering, Applied Economics, Data Science, Business Administration or Statistics.
You communicate fluently in English.
Education & alternatives
- Experience with Python for data analysis, automation, forecasting or advanced analytics, and with Snowflake or other cloud data platforms, is an advantage. - You hold a master’s degree in a quantitative field, such as Business Engineering, Applied Economics, Data Science, Business Administration or Statistics. - You have at least two years of relevant experience in analytics, business intelligence or people analytics.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 8, 2026today
- Recorded sightings
- 2
- Last seen by us
- Nov 9, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Telenet is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Snowflake
Where the posting names them
- Experience with HR data, workforce analytics, people analytics or workforce planning is a strong advantage. - Experience with Python for data analysis, automation, forecasting or advanced analytics, and with Snowflake or other cloud data platforms, is an advantage. - You hold a master’s degree in a quantitative field, such as Business Engineering, Applied Economics, Data Science, Business Administration or Statistics.
Your next step
Complete your application on ebza.fa.em2.oraclecloud.com. The employer’s form will show what is required.
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Has Telenet posted this job before?
Yes. We’ve followed one other Data Analyst job there since October 2026. It came down after 5 days.
Demand for Analyst roles
New Analyst postings at the employers we follow are up 18% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
You will be part of the Workforce Strategy & Intelligence team. This team supports the HR organisation and business leaders with data-driven insights into employees, organisational development, talent, skills, employee experience and workforce planning. We strengthen decision-making by translating data into clear insights, identifying trends and formulating recommendations that positively impact people and organisational performance.
We work closely with HR Business Partners, Centres of Excellence, People Leaders and other stakeholders to address strategic HR questions and help future-proof the organisation. In this way, you will actively contribute to building a modern, data-driven HR organisation.
Your role as a Data Analyst
- Develop a deep understanding of HR processes, workforce dynamics and our business challenges.
- Ask critical questions and challenge assumptions to arrive at the right analyses and insights.
- Collect, analyse, validate and transform data from various HR and business systems.
- Identify patterns, trends and risks across areas such as workforce planning, talent management, skills, employee experience, employee turnover and organisational development.
- Build and maintain dashboards, frameworks and reports that support HR and business leaders in their decision-making.
- Collaborate proactively with stakeholders, understand their needs and help them make more data-driven decisions.
- Contribute to the continued development of HR Analytics, reporting standards and analytical methodologies within Telenet.
- Actively share knowledge within the data community and stay up to date with new developments in analytics, AI and workforce intelligence.
Your profile as a Data Analyst
- You are naturally curious and actively seek to understand the question behind the question, with a strong interest in people, organisations and HR processes.
- You are a strong storyteller who can translate complex analyses into a clear, impactful narrative for business stakeholders.
- You work independently while also building strong relationships with stakeholders across HR and the business.
- Experience with HR data, workforce analytics, people analytics or workforce planning is a strong advantage.
- Experience with Python for data analysis, automation, forecasting or advanced analytics, and with Snowflake or other cloud data platforms, is an advantage.
- You hold a master’s degree in a quantitative field, such as Business Engineering, Applied Economics, Data Science, Business Administration or Statistics.
- You have at least two years of relevant experience in analytics, business intelligence or people analytics.
- You communicate fluently in English. Knowledge of Dutch and/or French is an advantage.
What Makes Someone Successful in This Role?
- Strong curiosity: You want to understand why something is happening, not just what is happening, and you actively keep up with new developments in People Analytics and AI.
- Critical thinking: You are willing to test hypotheses and challenge assumptions.
- Impact orientation: You focus on analyses that lead to better decisions and tangible results.
Our offer to you
At Telenet group, you get more than just an attractive gross salary. We strongly believe in results and ownership: we give trust but also expect commitment and impact. What you achieve truly matters.
In addition to a thirteenth-month salary and holiday pay, you can count on an extensive package of extra benefits that supports you in your daily life as well as at work.
An overview of our benefits:
- Mobility budget: compose your own mobility plan, you can opt for a company car or alternative mobility solutions
- Meal vouchers and eco vouchers
- Mobile phone, mobile subscription, laptop, and employee discounts
- Collective bonus and individual bonus (aligned with your performance)
- Hospitalization insurance (including an ambulatory plan) and group insurance
- 20 days of paid leave and 12 compensatory days off
We value your ongoing development, investing in growth via our internal learning platform, coaching, and on-the-job training. You will have opportunities to keep learning and further strengthen yourself in your role.
We also prefer working closely together. We believe strong teams form by frequent interactions and quick transitions. To facilitate a smooth onboarding and rapid integration for new employees, we expect you to be present in the office at least three days a week during the first six months. On other days, you can work remotely from home.
What happens after you apply?
Do you see a match with our position? Then we look forward to receiving your application. We always get back to you. When there’s a match, we will reach out to you to get acquainted and explain the next steps in our selection process.
Source details
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- Pay
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- Location & working pattern
Belgium
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- Work authorization
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