Lead Data Analyst
Pro-Think Consulting
About the role
About Us
Pro-Think Consulting was established after a thorough analysis of the challenges currently facing the IT industry, enabling us to create smart IT solutions to solve business problems which are both efficient and effective. We specialize in offering cutting-edge technology consulting services tailored to meet the unique needs of our clients. Our goal is to deliver innovative, high-quality, cost-effective, and timely solutions, backed by our proven industry experience and ability to handle complex software development and IT support projects. At Pro-Think Consulting, we are dedicated to excellence and innovation. We provide specialized technology domain professionals who have the ability to drive success and deliver measurable/tangible business value to our clients.
Job Purpose
The Lead Data Analyst is responsible for rebuilding and delivering analytics in Global Markets using approved strategic fundamental data assets. The role focuses on delivering an internally built FX and FI analytics capability within Amazon Quick Sight by strictly following internal design and building documentation, supporting the transition to a fully internal analytics solution.
In addition to hands-on analytics development, the role provides lead-level ownership across solution design, stakeholder engagement, data quality assurance, and delivery oversight.
The Lead Data Analyst acts as a bridge between the delivery team and the Head of Analytics, contributing to broader analytics initiatives, standards, and priorities as required.
Qualifications and Experience
- Bachelor’s degree in data science, Computer Science, Information Technology, Finance, or a related field.
- Familiarity with cloud technologies and their application within the financial services sector.
- Experience in DevOps practices and CI/CD pipelines.
- Knowledge of specific tools used in financial markets (e.g., Front Arena, 360T, Market Data Vendors, Mosaic).
- Minimum 5-10 years of experience in data analytics, machine learning, quantitative analysis.
- Proven experience working in complex financial systems and applications (e.g., trading platforms, payment systems, risk management systems).
- Strong understanding of financial products, capital markets, derivatives, and treasury operations.
- Hands-on experience with coding in Python, and the use of visualization tools.
- 5-10 years’ experience in senior stakeholder engagement and product ownership.
- 5-10 years’ experience in SQL, Python, AWS, and Quicksight; experience working with databases for data analysis.
- Knowledge of statistical and ML techniques.
- 5-10 years’ experience with ticketing systems (e.g., Azure Devops (ADO), ServiceNow), change management tools, and test management tools (e.g., Qmetry).
- 5+ years of experience within Global Markets.
Attributes
- Strong analytical and problem-solving skills with the ability to troubleshoot complex issues in high-pressure environments.
- Excellent communication and interpersonal skills, with the ability to interact with both technical teams and business stakeholders.
- Strong organizational skills with attention to detail and the ability to manage multiple priorities.
- Proactive, self-motivated, and able to work independently and as part of a team.
Requirements
- Familiarity with cloud technologies and their application within the financial services sector.
- Experience in DevOps practices and CI/CD pipelines.
- Knowledge of specific tools used in financial markets (e.g., Front Arena, 360T, Market Data Vendors, Mosaic and
- Proven experience working in complex financial systems and applications (e.g., trading platforms, payment systems, risk management systems).
- Strong understanding of financial products, capital markets, derivatives, and treasury operations.
- Hands-on experience with coding in Python, and the use of visualization tools
- Experience working with databases for data analysis
- Knowledge of statistical and ML techniques
- Experience with ticketing systems (e.g., Azure Devops (ADO), ServiceNow), change management tools, and test management tools (e.g., Qmetry).
Responsibilities
- Rebuilding and delivering analytics in Global Markets using approved strategic fundamental data assets.
- Delivering an internally built FX and FI analytics capability within Amazon Quick Sight by strictly following internal design and building documentation.
- Supporting the transition to a fully internal analytics solution.
- Providing lead level ownership across solution design, stakeholder engagement, data quality assurance, and delivery oversight.
- Acting as a bridge between the delivery team and the Head of Analytics, contributing to broader analytics initiatives, standards, and priorities as required.
Skills
Don't send a generic resume
Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.
Get started free