Ecosystem Analytics Intern
Ümumi məlumat
As an Analytics Intern, you will contribute to bridging data-driven insights with strategic decision-making across the organization. Your responsibilities will include building and maintaining data processing workflows, conducting and automating reporting and dashboard development, and performing data validation and sense-checking in collaboration with relevant stakeholders.
You will also support dependency management and stakeholder coordination, while evaluating the performance of products and business verticals through analytical insights.
This role offers a unique opportunity to apply both technical and interpersonal skills, strengthening your domain expertise through real-world, hands-on experience.
Benefits
- Opportunity to learn through working
- Familiarity with a real banking environment
- Gaining practical knowledge and experience
- Development of communication and customer service skills
- Improving teamwork abilities
- Support from a professional mentor
- Chance to build a future career at Bir Ecosysem
Öhdəliklər
- Designing and maintaining structured datasets and analytical outputs to support business and financial decision-making
- Developing dashboards, reports, and analytical views to monitor performance across products, portfolios, and business verticals
- Conducting exploratory and deep-dive analyses to identify trends, risks, and performance drivers
- Performing data quality checks, reconciliation, and validation in coordination with data owners and business stakeholders
- Supporting strategic initiatives through ad-hoc analysis, scenario assessments, and performance reviews
- Translating complex analytical findings into clear, concise insights for non-technical stakeholders
- Collaborating with cross-functional teams to align analytical outputs with business needs and priorities
- Contributing to the improvement of existing analytics workflows, automation, and reporting processes
Tələblər
- This role targets candidates with demonstrated analytical capability and practical experience using industry-standard tools. It is not intended for entry-level profiles.
- Professional Background
- Prior experience (internship or full-time) in analytics, finance, banking, consulting, or a related quantitative field is an asset
- Proven experience working with real datasets in a business or operational context
- Academic background in Business, Economics, Finance, Statistics, Computer Science, or a related discipline.
- Technical Skills (Must-Have by Start Date)
- Advanced Excel skills, including data modeling, structured analysis, and complex formulas
- Strong SQL proficiency for querying, joining, and validating large datasets
- Hands-on experience with Power BI or Tableau for building analytical dashboards
- Working knowledge of R and (or) Python for data analysis, automation, or statistical work is an asset
- Ability to independently clean, validate, and interpret data without close supervision
- Analytical & Business Acumen
- Strong analytical mindset with the ability to connect data outputs to business outcomes
- Understanding of financial and performance metrics commonly used in banking or financial services
- Ability to assess trends, compare scenarios, and support data-driven recommendations
- Soft Skills
- Clear and structured communication skills
- Ability to work independently and manage multiple analytical tasks in parallel
- Strong stakeholder interaction skills and comfort working with senior team members
- Attention to detail, ownership mentality, and curiosity to dig beyond surface-level results
Məlumat veriləcək
Maaş
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