Senior Data Analyst

Senior Data AnalystAre you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now!

Tickmill is looking to hire a Senior Data Analyst to join our rapidly expanding team. Ideal candidate will be a highly business-oriented and technically proficient Senior Data Analyst eager to make a tangible impact within a leading and growing FX firm. Candidate will excel in transformingplex data into actionable insights that directly influence strategic decisions.

About Tickmill.

Tickmill is an award-winning, multi-regulated broker offering a wide range of asset classes including CFDs on Forex, Stocks, Indices,modities, 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 thepany. Their hard work and dedication are what makes it possible to rank among the best in the industry. Tickmill offers apetitive benefits package, team-building events, and many opportunities for professional growth.

What the job looks like?

The Senior Data Analyst will have the chance to:

Collaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis. Conduct in-depth analysis of large,plex data sets to identify trends, patterns, and insights in collaboration with the rest of BI team members. Develop and maintain data models, dashboards, reports, and visualizations tomunicate findings to stakeholders. Identify and implement data-driven solutions to enable strategic initiatives, and optimize business operations. Lead data analytics projects focused on product profitability, client lifecycle insights, including client lifetime value (CLV) calculation, acquisition funnel optimization, and client journey mapping. Identify key conversion points and drop-off areas within the client acquisition funnel to drive optimization strategies. Explore possibilities for valuable external data sources that could be used inbination with existing data sets to provide insightful information. Mentor and develop analysts/ internal data champions in thepany about analytical approaches and dataernance . Stay up-to-date with industry trends and emerging technologies in data analytics.

What will you need to be able to do the job?

Bachelor's degree in a quantitative field such as Mathematics, Statistics,puter Science, Information Systems, or a related field. Minimum 3 years of experience as a Senior Data Analyst or a similar role, highly preferably in the Finance/FX sector. Strong analytical and logical thinking with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Excellentmunication skills with the ability to presentplex information in a clear and concise manner to non-technical audiences. Project management capabilities, including requirements gathering and solution implementation. Strong experience with data visualization tools (Power BI highly preferred) and ability to choose the most appropriate visuals based on the purpose of the analysis. Advanced SQL skills along with a solid understanding of data modeling design principles (Star Schema, Semantic models) and DAX language. Ability to develop predictive models for business forecasting and client behavior & lifecycle analysis. Knowledge of data lineage documentation and metadata management best practices. Curiosity to investigate causes and effects with a Team Play attitude. Excellentmand of English, both written and spoken.
The below Advanced Analytics Skills are considered as a plus:

Experience with statistical analysis and hypothesis testing. Knowledge of machine learning concepts and applications for client segmentation, anomaly detection, and predictive forecasting. Proficiency in at least one programming language (Python, R) for data manipulation and analysis. Experience in conductingpetitive research and analyzing benchmarking data. Knowledge of data protection regulations relevant to financial services. Experience in establishing data standards andernance policies. Familiarity with Agile development methodology and DataOps principles and best practices.
By joining us, you can expect:

A Unique Opportunity for a career in a global, fast-growingpany. Attractive remuneration package based on qualifications and experience (including Discretionary Bonuses to reward exceptional performance and Loyalty Bonuses). Modern and professional work environment. Participation in our welfare investment and savings plan through our Pension Scheme (5% + 5%). A great chance to focus on your Health and Wellness through a Discount for a Gym membership, Health insurance including cover for your family, life assurance, and the ability to join the Cycle to Work Scheme. Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all thepany. Opportunities to learn and grow through our "Employee Training & Development program". Birthday Half Day off. Loyalty benefits.
What to expect from our recruitment process:

First interview with hiring managers or an HR call Psychometric test Final interview with top management

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. Job ID 375