Senior BI & Data Analyst

Applying is quick and simple. Use the link on this post to apply through the Beakwise careers page. The form is short, about the same effort as a LinkedIn Easy Apply, and every application gets reviewed by our team.

About Beakwise

Beakwise 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.

The role

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 output should support decisions.

You should be comfortable in enterprise data environments, especially Databricks and Power BI on the Azure data stack. We want someone who builds useful analytics assets, not just attractive dashboards. That means data quality, definitions, relationships, performance, refresh logic, governance, and the business context behind the numbers.

Our projects involve multiple systems, legacy data, integration points, and business rules that are not always written down neatly. We do not need someone who waits for perfect requirements. We need someone who can create clarity when the data or the definitions are messy. If people already come to you when two reports disagree or when a KPI is unclear, you will like this role.

What you will do

• Work with business stakeholders to understand reporting, analytics, and decision-support needs

• Translate business questions into data requirements, metrics, definitions, and analytical outputs

• Build and improve dashboards, reports, semantic models, and datasets in Power BI

• Work with data in Databricks: notebooks, SQL, tables, transformations, and analytical data preparation

• Create reliable data models that are understandable, maintainable, and suitable for business users

• Investigate data quality issues, inconsistencies, missing values, and logic gaps

• Support data validation, reconciliation, and UAT

• Document metrics, assumptions, sources, transformation logic, and known limitations

• Improve dashboards and reports that are slow, unclear, or no longer aligned with business needs

• Help clients and internal teams understand what the data says, what it does not say, and what decisions can reasonably be made from it

Must-haves

• 3+ years in data analysis, business intelligence, analytics, or BI development, with hands-on ownership of business-facing dashboards, data models, and analytical outputs. Most strong candidates have 4 to 8 years.

• Power BI: data modeling, DAX, Power Query, report design, dashboard development, and performance optimization

• Databricks: SQL, notebooks, data exploration, transformations, and structured enterprise data

• Azure data ecosystem: hands-on work on Azure-based analytics platforms such as Azure Databricks, Azure Data Lake, Synapse, or Microsoft Fabric

• Strong SQL and the ability to write clean, efficient, understandable queries

• Solid data modeling fundamentals: fact tables, dimensions, relationships, aggregations, semantic layers

• Experience defining KPIs, metrics, and reporting logic with business stakeholders

• Ability to investigate data issues independently and explain findings clearly

• Good documentation habits

• Professional English

• Comfortable with 3 office days per week in Istanbul

Nice to have

• 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 in your first 90 days

• You shape a business problem 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 findings to both technical and non-technical people

• Business users trust your numbers, because dashboards reconcile with source data, metrics are clearly defined, and models can be maintained

What we offer

• A core seat in our Istanbul hub, working directly with our enterprise clients and the Head of Data Analytics and BI, with real influence over how we build our analytics practice

• Real enterprise data problems, not toy dashboards: multiple systems, large transaction volumes, regulated industries

• A strong product and engineering organization around you

• A hybrid rhythm that protects focus: office days for alignment and workshops, remote days for deep analytical work

• Competitive compensation aligned with your experience and impact

To apply

Visit our careers web page, Send your CV and, if you have them, examples of dashboards, BI projects, analytical models, or data products you have worked on. You do not need to share confidential client material. A short note on the business problem, your role, the tools you used, and the outcome is enough.

Apply through the Beakwise careers page. The link is on this job post.

Beakwise is an equal opportunity employer. If you meet most of the requirements and you are excited about the role, apply anyway.