Head of Data & Analytics
Limassol, Limassol, Cyprus
Are you looking for the next professional opportunity, that will challenge and advance your career? Join our team now!
Tickmill is looking to hire a Head of Data & Analytics to lead, inspire, and mentor a team of highly skilled Data Analysts and Data Engineers to support and elevate data-driven initiatives across the organization.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering a wide range of asset classes including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies and bonds, as well as Exchange Traded Derivatives (Futures & Options).
The Tickmill Group was established in 2014, and employs over 270 individuals through its offices in London, Cyprus, Estonia, South Africa and several other regional offices globally.
Our philosophy is based on trust, transparency, and diversity, reflected in both our workplace culture and outstanding customer support. Our employees, a multilingual team of highly skilled professionals from every continent, are the backbone of the company. Their hard work and dedication are what makes it possible to rank among the best in the industry. Tickmill offers a competitive benefits package, hybrid work model, team-building events, and many opportunities for professional growth.
What the job looks like?
The Head of Data & Analytics will have the chance to:
- Shape and drive the data strategy, including the ongoing development and future migration plans for data infrastructure and analytics tools.
- Engage directly in data analysis and engineering tasks as necessary, setting a high standard for technical excellence and hands-on leadership.
- Advocate for and promote a data-driven culture within the organization, collaborating with various departments to align on data best practices and encourage data literacy.
- Oversee the creation and delivery of data insights and actionable reporting using SQL Server and Power BI, guiding the team to translate complex data into clear, impactful stories for stakeholders.
- Work closely with cross-functional teams, including executives, to understand business needs and ensure data solutions are aligned with strategic goals.
What will you need to be able to do the job?
- Bachelor’s degree in a relevant field such as Data Science, Computer Science, or Engineering; a master’s degree is a plus.
- Minimum of 8 years in data and analytics, with at least 5 years in a leadership role, ideally in the FinTech or similar industry.
- Strong experience with SQL Server for data warehousing and Power BI for data modeling and visualization. Familiarity with Microsoft Fabric or similar modern data platforms is a plus.
- Proven track record as a hands-on leader who can contribute to technical work while effectively managing and guiding a team.
- Exceptional interpersonal, communication, and people skills, with a natural ability to build rapport across different teams and levels of the organization.
- Strong organizational skills to oversee and align multiple initiatives, maintaining focus on both short-term objectives and long-term data goals.
By joining us, you can expect:
- A Unique Opportunity for a career in a global, fast-growing company.
- Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance).
- Opportunities to learn and grow through our “Employee Training & Development program”.
- Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care.
- Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company.
- Participation in our welfare investment and savings plan through our Provident Fund Scheme.
- Birthday and Loyalty benefits.
- Collaboration with SportBenefit.
Make your next Career step and apply NOW!
*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Data strategy Data Warehousing Engineering FinTech Power BI SQL
Perks/benefits: Career development Competitive pay Startup environment Team events Transparency
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