Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Tickmill is looking to hire a Data Analyst to mainly collaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis.
Data analyst in FX
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описание
задачи
- Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making.
- Analyze large and complex datasets to identify trends, patterns, and actionable insights.
- Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders.
- Support the implementation of data-driven solutions that improve business performance and operational efficiency.
- Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis.
- Ensure data accuracy and consistency through validation and quality checks.
- Work closely with BI team members to improve reporting processes and analytical capabilities.
- Stay up to date with industry trends, analytical techniques, and data visualization best practices.
требования
- Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline.
- Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry.
- Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately.
- Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders.
- Experience gathering business requirements and translating them into reporting and analytical solutions.
- Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring.
- Hands-on experience with data visualization tools (Power BI preferred).
- Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas.
- Working knowledge of DAX and Power BI data modelling principles.
- Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations.
- Attention to detail, curiosity, and a proactive approach to solving business problems.
- Excellent command of English, both written and spoken.
- Strong teamwork and collaboration skills.
- Будет плюсом: Experience with statistical analysis and A/B testing concepts; Basic knowledge of machine learning concepts and their business applications; Proficiency in Python or R for data analysis and automation; Experience working with financial services, trading, or FX data; Familiarity with data governance and data quality best practices; Knowledge of Agile methodologies and DataOps principles; Familiarity with Databricks or similar cloud platforms; Experience conducting market, competitor, or benchmarking analysis
условия
- 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.
навыки
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