Project the aim youll have
Join a role for dynamic financial institution where your core aim is to unlock business insights from large datasets empowering decision-makers across trading investment and research teams with robust analytics and data-driven projects. You will play a pivotal role in improving operational efficiency developing scalable reporting frameworks and enhancing performance tracking through advanced financial modeling and dashboard automation.
- Enhance the data analytics capability of the organization.
- Organise manage and democratise access to data across the organization.
- Address challenges like data presentation mismatch lack of data democratisation fragmented data landscape and ad-hoc request bottlenecks.
Qualifications :
Position how youll contribute
A strategic role responsible for:
- Data organisation and architecture: Structuring and mapping data across all sources for optimal accessibility
- Data governance: Ensuring data quality consistency and documentation
- Stakeholder enablement: Understanding business needs and translating them into data solutions
1. Pre-Programmed Reporting
- Develop and maintain standardised reports for recurring business needs
- Create automated dashboards and visualisations
- Establish reporting schedules and distribution mechanisms
2. Ad-Hoc Data Requests
- Technical capability to respond to bespoke data queries quickly
- Deep knowledge of data structures to identify relevant sources
- Ability to translate business questions into data queries
3. Data Mapping & Integration
- Map relationships between disparate data sources
- Create logical data models that reflect business processes
- Document data lineage and dependencies
4. Self-Service Enablement
- Design and implement a queryable data architecture for users
- Create data dictionaries and documentation
- Over time train super users to extract data independently
- Develop governance frameworks for self-service access
As a Data Analyst you will contribute directly to both daily and strategic objectives by building and maintaining analytical dashboards designing automated reports and delivering actionable recommendations. Working cross-functionally you will support trading operations and senior management with tailored analysis and collaborate closely on risk assessment and post-trade analytics initiatives.
Expectations the experience you need
- Database technologies: SQL Snowflake data warehouse design
- BI platforms: Qlik Power BI
- Programming: Python (data manipulation automation)
- ETL processes: Data integration and transformation
- Data modelling: Dimensional modelling star/snowflake schemas
- Demonstrated hands-on experience with Snowflake for cloud-based data warehousing management and analytics.
- Proven expertise using Qlik to develop interactive dashboards and business intelligence solutions for finance or capital markets.
- Solid background in advanced statistical analysis financial modeling and deploying data-driven strategies within a regulated financial environment.
- Excellent communication skills for presenting analytical findings to technical and non-technical stakeholders.
Additional skills the edge you have
- Advanced proficiency in Power BI for end-to-end business intelligence including design automation and support of financial reporting.
- Ability to work collaboratively in cross-functional teams leveraging cutting-edge data visualization and analytics tools.
- Willingness to innovate and continuously learn new technologies in a fast-moving capital markets environment.
Additional Information :
Our offer professional development personal growth
- Flexible employment and remote work
- International projects with leading global clients
- Non-corporate atmosphere
- Language classes
- Internal & external training
- Private healthcare and insurance
- Multisport card
- Well-being initiatives
Position at: Software Mind Poland
Remote Work :
Yes
Employment Type :
Full-time
Project the aim youll haveJoin a role for dynamic financial institution where your core aim is to unlock business insights from large datasets empowering decision-makers across trading investment and research teams with robust analytics and data-driven projects. You will play a pivotal role in impr...
Project the aim youll have
Join a role for dynamic financial institution where your core aim is to unlock business insights from large datasets empowering decision-makers across trading investment and research teams with robust analytics and data-driven projects. You will play a pivotal role in improving operational efficiency developing scalable reporting frameworks and enhancing performance tracking through advanced financial modeling and dashboard automation.
- Enhance the data analytics capability of the organization.
- Organise manage and democratise access to data across the organization.
- Address challenges like data presentation mismatch lack of data democratisation fragmented data landscape and ad-hoc request bottlenecks.
Qualifications :
Position how youll contribute
A strategic role responsible for:
- Data organisation and architecture: Structuring and mapping data across all sources for optimal accessibility
- Data governance: Ensuring data quality consistency and documentation
- Stakeholder enablement: Understanding business needs and translating them into data solutions
1. Pre-Programmed Reporting
- Develop and maintain standardised reports for recurring business needs
- Create automated dashboards and visualisations
- Establish reporting schedules and distribution mechanisms
2. Ad-Hoc Data Requests
- Technical capability to respond to bespoke data queries quickly
- Deep knowledge of data structures to identify relevant sources
- Ability to translate business questions into data queries
3. Data Mapping & Integration
- Map relationships between disparate data sources
- Create logical data models that reflect business processes
- Document data lineage and dependencies
4. Self-Service Enablement
- Design and implement a queryable data architecture for users
- Create data dictionaries and documentation
- Over time train super users to extract data independently
- Develop governance frameworks for self-service access
As a Data Analyst you will contribute directly to both daily and strategic objectives by building and maintaining analytical dashboards designing automated reports and delivering actionable recommendations. Working cross-functionally you will support trading operations and senior management with tailored analysis and collaborate closely on risk assessment and post-trade analytics initiatives.
Expectations the experience you need
- Database technologies: SQL Snowflake data warehouse design
- BI platforms: Qlik Power BI
- Programming: Python (data manipulation automation)
- ETL processes: Data integration and transformation
- Data modelling: Dimensional modelling star/snowflake schemas
- Demonstrated hands-on experience with Snowflake for cloud-based data warehousing management and analytics.
- Proven expertise using Qlik to develop interactive dashboards and business intelligence solutions for finance or capital markets.
- Solid background in advanced statistical analysis financial modeling and deploying data-driven strategies within a regulated financial environment.
- Excellent communication skills for presenting analytical findings to technical and non-technical stakeholders.
Additional skills the edge you have
- Advanced proficiency in Power BI for end-to-end business intelligence including design automation and support of financial reporting.
- Ability to work collaboratively in cross-functional teams leveraging cutting-edge data visualization and analytics tools.
- Willingness to innovate and continuously learn new technologies in a fast-moving capital markets environment.
Additional Information :
Our offer professional development personal growth
- Flexible employment and remote work
- International projects with leading global clients
- Non-corporate atmosphere
- Language classes
- Internal & external training
- Private healthcare and insurance
- Multisport card
- Well-being initiatives
Position at: Software Mind Poland
Remote Work :
Yes
Employment Type :
Full-time
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