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Company Summary

Company Reviews

We are headquartered in Sydney, Australia, with offices in Europe (London, Prague, Frankfurt, Stockholm, Warsaw), Bangalore, Singapore, New Zealand & United States.

Billigence is a BI Consultancy and contingent labour service company with a growing customer base of large corporations across different industries as well as young and agile internet-based businesses.
We help organisations big and small build scalable AI solutions that drive value by enhancing their data governance, aligning strategy and empowering their people.

As a company we source and hire innovative data enthusiasts and believe data is the most powerful asset of today's businesses. That is why at Billigence, we are helping our clients to drive the business value of their data. We do this through our data proposition comprising of data consolidation and enrichment, data visualisation and analytics and data governance components.

We deliver market leading recruitment services for temporary and contract labour hires to supplement our clients workforces. Our vision is to become leaders in helping companies to transform into digital age and reach their full potential by leveraging the power of their data.

Billigence also leverages partnerships with some of the world’s most innovative data companies such as Snowflake, Collibra, Alteryx, Salesforce, Tableau, dbt Labs, H2O.ai, Matillion, Google Cloud Platform, Microsoft, Keboola & others.

Rating Reviews

Rating is calculated based on 5 reviews and is evolving.

Featured Reviews

Data Consultant
3.4
31 January 2026
Decent for learning, but career path can be fuzzy
Pros: I've definitely grown my technical skills here as a Data Consultant. You get to work on various projects across the data analytics industry, which is great exposure. The hybrid model in the Sydney office is pretty good too, giving some flexibility.
Cons: Career progression isn't always clear-cut, especially when you hit mid-level. It's tough to see a defined path for senior business intelligence roles. Sometimes you feel a bit stuck in a mid-sized company without clear upward movement.
Advice to Management: Create clearer growth paths for consultants. Invest more in formal training and leadership development programs so people see where they can go.
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Data Consultant
3.1
30 January 2026
Decent stability in data analytics consulting
Pros: Job security for a Data Consultant is pretty decent at Billigence. They've got a steady stream of client projects in the data analytics consulting field, so you're rarely without work. Being an established mid-size firm helps too.
Cons: Sometimes projects wrap up faster than expected, and you might feel a little uncertain for a bit. The consulting model means your role can depend heavily on getting new client work quickly, which can add a slight underlying stress.
Advice to Management: Keep focusing on building a strong pipeline of long-term client engagements to ensure greater stability for all consultants.
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Data Consultant
2.9
2 February 2026
Pay is alright, benefits need serious work
Pros: The base salary for a Data Consultant is pretty decent, especially for the mid-size consulting firm environment. I've found the 401k match to be a solid perk, once you hit that one-year mark.
Cons: Healthcare benefits aren't great; the premiums are surprisingly high. You really don't get many other significant perks, especially compared to bigger players in data analytics consulting. Remote work doesn't get you a specific WFH stipend.
Advice to Management: Seriously re-evaluate the health insurance plans and explore options for better coverage with lower premiums. Adding some relevant perks, especially for remote employees, would make a big difference in attracting and keeping talent in this competitive data analytics space.
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