Senior BI Data Analyst

As a member of the Business Intelligence (BI) team, you will be responsible for developing dashboards, tools, and data-driven solutions that track and analyze key performance indicators, trends, and patterns across the organization. This role involves working across data engineering, analysis, and reporting to deliver insights that support operational decision-making and strategic initiatives.

Design, develop, implement, and maintain interactive dashboards and BI tools.

Enhance and maintain existing BI solutions based on business requirements.

Develop a unified reporting framework to reduce redundancy and improve accessibility to key data.

Access, cleanse, compile, and transform disparate structured and unstructured data sets to support analysis.

Build and manage automated data pipelines to collect, process, and store data from monitoring tools, capacity planning systems, and operational databases.

Support modern data storage, movement, and transformation architectures to extract and engineer features from data.

Conduct exploratory and predefined analyses using scientifically valid techniques to generate actionable insights.

Assist with feasibility studies to assess data availability, quality, and modeling dependencies.

Contribute to the discovery or engineering of explanatory features in high-dimensional datasets for relevant operational or business use cases.

Support the iterative selection and application of statistical and machine learning techniques to develop optimal models and insights.

Work with business leaders and stakeholders to identify relevant analytical questions and opportunities.

Propose new uses for existing data sources, algorithms, and predictive models to drive business value.

Participate in code reviews and ensure adherence to best practices and standards.

Write, test, and debug code to support new data and BI capabilities.

Continuously develop expertise in assigned tools, technologies, development processes, and the broader data ecosystem.

Bachelor's degree in computer science, Information Systems, Data Science, Statistics, or a related field.

3 6 years of experience in business intelligence, data analysis, or a related area.

Proficiency with BI tools (e.g., Grafana, Power BI, Tableau) and data querying languages (e.g., SQL).

Experience building data pipelines and working with both structured and unstructured data.

Familiarity with statistical analysis and machine learning methods.

Strong analytical thinking and problem-solving abilities.

Ability to communicate data insights clearly to technical and non-technical stakeholders.