Unlock the power of big-data analytics with our expert talent.
In the current landscape, data is the key to innovation and growth. Adopting a technology first approach, with a holistic use of analytics to constantly drive the business, enhances their decision-making capabilities, streamline processes, and deliver enhanced value to their customers.
The realm of data & analytics offers a wide range of possibilities, spanning from predictive modelling to real-time analytics, which can be tailored to suit the specific requirements of any business.
Through a deep understanding of big data & analytics, we offer tailored solutions to your talent needs, utilising our comprehensive process that cover every element of talent acquisition.
It takes talent to find talent.
what you can expect partnering with mirai
We start with your needs and offer a tailored solution from there. We put together a comprehensive process that covers every element of talent acquisition.
first, we listen:
- Getting to know your challenges and requirements
- Understanding your budgets and timelines
- Discovering your business culture and dynamic
then we get to work.
- Offering our market knowledge and insight
- Providing salary benchmarks
- Giving insights into what the best talent wants and how to keep them
- Delivering tailored marketing campaigns
- Carrying out personalised first round interviews
- Arranging optional video interviewing
- Scheduling regular check-ins and performance updates
- And so much more!
We’re proud to support Women In Data
Women In Data are dedicated to promoting greater gender diversity within the field of data by providing female and gender diverse professionals with a space to share their technical knowledge and experiences. Through their platform, they aim to create a supportive community that encourages and empowers more individuals from underrepresented groups to enter and succeed in the industry.
We agree wholeheartedly that by promoting greater diversity and representation, we can foster innovation, creativity, and progress within the field of data.