Senior BI & Data Analyst

Beakwise; Fatih; Hybrid; TRY 900,000 - 1,400,000; Full time

Job summary

Beakwise in Istanbul is seeking a senior BI and data analyst to turn complex business questions into reliable data models, dashboards, and actionable insights. You will work with our Head of Data Analytics and BI and collaborate with delivery teams, engineers, and client stakeholders in an enterprise Azure data stack environment.

The role emphasizes data quality, governance, KPIs, and scalable analytics in Databricks and Power BI; you’ll own data definitions, modeling, and refresh logic while

Qualifications

• 3+ years in data analysis or BI with dashboards and data models.
• Strong Power BI skills including data modeling and DAX.
• Hands-on Databricks and Azure data stack experience.
• Excellent SQL and data-relationship understanding.
• Ability to define KPIs, metrics, and analytical requirements.

Responsibilities

• Translate business questions into analytics requirements and data models.
• Build and maintain dashboards and data pipelines in Databricks and Power BI.
• Collaborate with stakeholders to ensure data quality, definitions, and governance.

Skills

Power BI

Databricks

Azure data ecosystem

SQL

Data modeling concepts

KPIs & metrics

Documentation

English

Hybrid work

Tools

Databricks

Azure Data Lake

Synapse

Microsoft Fabric

Job description

About BeakwiseBeakwise is an R&D and product company building enterprise-grade software platforms for large organizations. Financial services is our primary focus today (insurance, banking, payments), and our ambition is broader: to become a trusted software and technology products vendor for large enterprises across industries. Istanbul is our headquarters and a key delivery hub. Our platforms and transformation programs produce large amounts of operational data, and our clients increasingly ask us to help them understand it and act on it.

The opportunity

We are looking for a senior BI and data analyst who can turn complex business questions into reliable data models, clear dashboards, and practical insight. You will work directly with our Head of Data Analytics and BI. This is not a reporting-only role. You will work with business teams, delivery teams, engineers, and client stakeholders to understand what needs to be measured, where the data lives, how it should be modeled, and how the final output should support decision-making. You should be comfortable in enterprise data environments, especially Databricks and Power BI on the Azure data stack. We expect you to build useful analytics assets, not just attractive dashboards. That means understanding data quality, definitions, relationships, performance, refresh logic, governance, and the business context behind the numbers. Our projects often involve multiple systems, legacy data, integration points, and business rules that are not always written down neatly. We do not need someone who only waits for perfect requirements. We need someone who can help create clarity when the data, systems, or definitions are messy. If people already come to you when two reports disagree, when a KPI is unclear, or when someone needs to understand what is really happening behind a number, you will like this role.

Hybrid position

This is a hybrid position based in Istanbul, with 3 days per week at the office. Part of the work needs focused analysis; part of it benefits from sitting with project teams, business analysts, engineers, and client-facing delivery leads.

What we're looking for

Must-haves

• 3+ years in data analysis, business intelligence, analytics, or BI development roles, with hands-on ownership of business-facing dashboards, data models, and analytical outputs. Most strong candidates will have 4-8 years.
• Power BI (must): data modeling, DAX, Power Query, report design, dashboard development, and performance optimization
• Databricks (must): SQL, notebooks, data exploration, transformations, and structured enterprise data
• Azure data ecosystem (must): hands-on work on Azure-based analytics platforms (Azure Databricks, Azure Data Lake, Synapse, or Microsoft Fabric)
• Strong SQL skills and the ability to write clean, efficient, and understandable queries
• Good understanding of data modeling concepts, including fact tables, dimensions, relationships, aggregations, and semantic layers
• Experience working with business stakeholders to define KPIs, metrics, reporting logic, and analytical requirements
• Ability to investigate data issues independently and explain findings clearly
• Good documentation habits, especially around metric definitions, source systems, transformation logic, and assumptions
• English is required (written and spoken)
• Comfortable with a hybrid model: 3 days per week at our Istanbul office

Big plus

• Any of the below is a strong advantage: Industry experience in finance, automotive, or healthcare services, especially projects involving operational reporting, customer data, risk, claims, sales and service, accounting, compliance, or management dashboards
• Regulated environments such as insurance, banking, payments, or leasing
• Delta Lake, lakehouse and medallion architecture, or modern data platform patterns
• Python or PySpark for data analysis and transformation
• Enterprise system data: CRM, ERP, core insurance, policy administration, claims, accounting, dealer management, or patient services
• Data governance, master data, data lineage, or data quality frameworks
• Consulting or client-facing, project-based delivery
• Turkish for client-facing work in Türkiye

What success looks like (first 90 days)

You take a business problem and shape it into a clear analytics requirement. You work independently in Databricks and Power BI to prepare, model, and visualize data. You catch data quality and definition issues before they become client-facing problems. You explain analytical findings clearly to both technical and non-technical stakeholders. Business users trust your numbers: dashboards reconcile with source data, metrics are clearly defined, and models can be maintained.