Business Intelligence Analyst

Business Intelligence Analyst

As a Business Intelligence Analyst, you will start your journey into the world of data by aiding our team in delivering data-driven insights. You
will assist in the construction and maintenance of dashboards, scorecards, and reports, providing essential support that contributes to our
understanding of business operations. Your work will help identify trends and patterns that inform our strategic decisions, fostering your
growth in the field of Business Intelligence.

Responsibilities:
Data Acquisition & Preparation

• Collect, clean, and organize data from multiple sources (SQL databases, APIs, spreadsheets).

• Perform data transformation using Power Query (M) and SQL.

• Ensure data quality through validation and error handling.

Data Modeling

• Build and maintain data models, relationships, and hierarchies for reporting.

• Implement best practices for star/snowflake schema and optimize model performance.

Report & Dashboard Development

• Design and develop interactive dashboards and reports in Power BI Desktop.

• Apply advanced features like drill-through, bookmarks, tooltips, and custom visuals.

• Create scorecards and KPI dashboards for business performance tracking.

Data Analysis & Insights

• Develop DAX measures and calculated columns for KPIs and advanced analytics.

• Perform trend analysis, root cause analysis, and identify actionable insights.

• Support business teams in interpreting data and making data-driven decisions.

Integration & Deployment

• Publish reports to Power BI Service, manage workspaces, and configure scheduled refresh.

• Implement Row-Level Security (RLS) and other governance measures.

• Integrate Power BI reports into applications, portals, or SharePoint.

Performance Monitoring & Optimization

• Monitor dashboard performance and optimize queries, visuals, and data models.

• Track and report on data refresh status and resolve failures promptly.

Collaboration & Documentation

• Work closely with stakeholders to gather requirements and translate them into BI solutions.

• Document data sources, transformations, business logic, and report specifications.

• Participate in team discussions to understand evolving data needs.

Compliance & Best Practices

• Adhere to data governance, security, and privacy policies.

• Stay updated on Power BI and SQL best practices and emerging features.

Skills:
Power BI

• Data modeling and relationship design

• DAX (Data Analysis Expressions) for measures and calculated columns

• Power Query (M) for data transformation

• Advanced visualization techniques and custom visuals

• Power BI Service: deployment, workspace management, scheduled refresh, and Row-Level Security (RLS)

SQL

• Writing optimized queries for data extraction

• Joins, aggregations, subqueries, and Common Table Expressions (CTEs)

• Query performance tuning and troubleshooting

Data Integration & ETL

• Connecting to multiple data sources (databases, APIs, Excel)

• Basic understanding of ETL concepts and data pipelines

• Familiarity with incremental refresh and dataflow concepts

Data Management & Analysis

• Data collection and organization from multiple data sources

• Data cleaning and validation for accuracy and consistency

• Basic to intermediate data analysis and summarization

• Root cause analysis for data anomalies

• Understanding of data governance, privacy, and security standards

Reporting & Visualization

• Designing interactive dashboards and reports aligned with business KPIs

• Creating scorecards and performance tracking visuals

• Applying visualization best practices for clarity and usability

Additional/Preferred Skills

• Familiarity with Azure Data Services (e.g., Azure SQL, Data Factory) or other cloud platforms

• Exposure to Azure dev ops version control (Git) and BI deployment best practices

• Awareness of performance optimization techniques for large datasets

• Basic knowledge of Python for data manipulation (optional but valuable)

As a Business Intelligence Analyst, you will start your journey into the world of data by aiding our team in delivering data-driven insights. You
will assist in the construction and maintenance of dashboards, scorecards, and reports, providing essential support that contributes to our
understanding of business operations. Your work will help identify trends and patterns that inform our strategic decisions, fostering your
growth in the field of Business Intelligence.

Responsibilities:
Data Acquisition & Preparation

• Collect, clean, and organize data from multiple sources (SQL databases, APIs, spreadsheets).

• Perform data transformation using Power Query (M) and SQL.

• Ensure data quality through validation and error handling.

Data Modeling

• Build and maintain data models, relationships, and hierarchies for reporting.

• Implement best practices for star/snowflake schema and optimize model performance.

Report & Dashboard Development

• Design and develop interactive dashboards and reports in Power BI Desktop.

• Apply advanced features like drill-through, bookmarks, tooltips, and custom visuals.

• Create scorecards and KPI dashboards for business performance tracking.

Data Analysis & Insights

• Develop DAX measures and calculated columns for KPIs and advanced analytics.

• Perform trend analysis, root cause analysis, and identify actionable insights.

• Support business teams in interpreting data and making data-driven decisions.

Integration & Deployment

• Publish reports to Power BI Service, manage workspaces, and configure scheduled refresh.

• Implement Row-Level Security (RLS) and other governance measures.

• Integrate Power BI reports into applications, portals, or SharePoint.

Performance Monitoring & Optimization

• Monitor dashboard performance and optimize queries, visuals, and data models.

• Track and report on data refresh status and resolve failures promptly.

Collaboration & Documentation

• Work closely with stakeholders to gather requirements and translate them into BI solutions.

• Document data sources, transformations, business logic, and report specifications.

• Participate in team discussions to understand evolving data needs.

Compliance & Best Practices

• Adhere to data governance, security, and privacy policies.

• Stay updated on Power BI and SQL best practices and emerging features.

Skills:
Power BI

• Data modeling and relationship design

• DAX (Data Analysis Expressions) for measures and calculated columns

• Power Query (M) for data transformation

• Advanced visualization techniques and custom visuals

• Power BI Service: deployment, workspace management, scheduled refresh, and Row-Level Security (RLS)

SQL

• Writing optimized queries for data extraction

• Joins, aggregations, subqueries, and Common Table Expressions (CTEs)

• Query performance tuning and troubleshooting

Data Integration & ETL

• Connecting to multiple data sources (databases, APIs, Excel)

• Basic understanding of ETL concepts and data pipelines

• Familiarity with incremental refresh and dataflow concepts

Data Management & Analysis

• Data collection and organization from multiple data sources

• Data cleaning and validation for accuracy and consistency

• Basic to intermediate data analysis and summarization

• Root cause analysis for data anomalies

• Understanding of data governance, privacy, and security standards

Reporting & Visualization

• Designing interactive dashboards and reports aligned with business KPIs

• Creating scorecards and performance tracking visuals

• Applying visualization best practices for clarity and usability

Additional/Preferred Skills

• Familiarity with Azure Data Services (e.g., Azure SQL, Data Factory) or other cloud platforms

• Exposure to Azure dev ops version control (Git) and BI deployment best practices

• Awareness of performance optimization techniques for large datasets

• Basic knowledge of Python for data manipulation (optional but valuable)

Note -
Our Interview Practices 

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.