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Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.
Job Description
Project – the aim you’ll 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.
Position – how you’ll 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
- Pre-Programmed Reporting
- Develop and maintain standardised reports for recurring business needs
- Create automated dashboards and visualisations
- Establish reporting schedules and distribution mechanisms
- 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
- Data Mapping & Integration
- Map relationships between disparate data sources
- Create logical data models that reflect business processes
- Document data lineage and dependencies
- 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
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.
- 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.
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
Key Skills
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