About the job

We aim to improve the World by using data and AI.

 

As a Data Analyst at Sertis you will help some of the biggest clients in South East Asia turn their data into magical solutions! By magical solutions we mean: turn data into information, information into insight and insight into business decisions, while also helping to develop dashboards, and engage in both project management, and requirement gathering.

 

If you are great at creating accurate and insightful business profiles, using internal and external data and providing insights and actionable recommendations during presentations and business reviews... this job is for you!

 

So, what makes us different? We are working across different industries such as retail, banking, airlines, agriculture, energy, and healthcare in the Big Data/AI space and collaborating with the Data Science and AI Research teams to turn data into action!

Our Data Analyst (you) will be:

  • Gathering information from clients and mapping business requirements to technical requirements

  • Data collection, transformation and aggregation from external and internal sources

  • Analysing business data and creating insight analysis reports

  • Organizing and presenting data in a clear, concise manner

  • Providing insights and recommendations based on relevant data to clients

  • Summarizing external data to support the recommendations in the insight analysis reports

What you will need:

  • Strong in business analytic and business consulting skills

  • General understanding of business data and storytelling

  • Proficiency in SQL and experience with database management

  • Experience with Excel or any BI tools

  • Application of market research techniques and strategies across a variety of digital channels

  • Experience in client facing, including running assessment/requirements gathering workshops

  • At least 3 years experience in retail domain preferred

  • Strong communication skills, verbally and written

  • Ability to take a leadership role when necessary

  • Ability to present to an executive at a business level

  • Critical thinking, with analytical, troubleshooting, and problem-solving expertise

What you are like:

  • Have a sense for business and strategy

  • Open-minded (accept criticisms and eager to ask for comments/suggestions)

  • Passionate for anything and everything data

  • Able to share and suggest ideas

  • Do tons of research, creativity is a plus here!

  • Have a can-do and will-do attitude!

  • Ready to tackle any challenges

  • Able to go shoe-less (we are a shoe-free environment)

Why Sertis? 

  • We work at the frontier of innovation in the AI industry.

  • Your chance to work on meaningful products that solve and improve real-life problems and challenges.

  • Attractive WFH Policy.

  • Up early or slow starter in the morning? We have flexible office hours.

  • OKR-driven workplace; We provide direction, not orders and give you the autonomy to deliver your best work.

  • Mentorship programs for every level; from executive-level coaching to fresh grad.

  • We run like a startup, and embrace the adventure; we focus on getting things done, while still having a down to earth and informal culture.

  • Get to work and learn from the best in the industry, and share your ideas with like-minded individuals.

 

Lastly, because we cultivate intelligence and learning and help people grow beyond their potential.

This is your chance to build your career in a growing data driven industry. We seek passion and ambition to turn data into action!

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Data Analyst - Business Insights

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Data Analytics | Mid Level | Full-time

Benefits & Perks

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Hybrid Work

Good work can be done from anywhere. 

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Vacation and Personal Leave

We encourage all our teams to take time off, recharge and refocus.

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Learning Support

We support you to learn, explore and grow your creativity.

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Fitness Support

Keeping Sertizens healthy in all areas of life is a priority.

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Referral Bonus

Good people know good people! 

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Provident Fund

It's important to think about the future. 

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Be a part of

DATA ANALYTICS

team

“ Let’s uncover insight and
bring data to life ”

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5 steps for
interview

Depends on the department