Business Intelligence Data Analyst

Job Title: Business Intelligence (BI) Data Analyst

Job Summary

We are seeking a highly analytical and detail-oriented Business Intelligence Data Analyst to join our team. The ideal candidate will be responsible for transforming data into actionable insights that drive strategic decision-making. You will collect, analyze, and visualize data, helping the organization improve operations, increase efficiency, and achieve business goals.

Key Responsibilities

• Gather, clean, and validate large sets of structured and unstructured data from multiple sources.
• Develop, maintain, and optimize dashboards and reports using BI tools such as Power BI, Tableau, or Looker.
• Translate business requirements into analytical models and reports.
• Identify trends, anomalies, and patterns in data that support business strategies.
• Collaborate with business units to understand their needs and provide insights to support operational and strategic decisions.
• Monitor key performance indicators (KPIs) and create metrics to evaluate business performance.
• Write SQL queries to extract, manipulate, and analyze data from relational databases.
• Support data governance initiatives and ensure data quality and integrity.
• Present findings and recommendations to senior management and stakeholders.
• Assist with invoicing processes by extracting, matching, and formatting data to align with client systems and reporting requirements.
• Communicate with internal and external stakeholders to gather invoicing requirements, ensure data accuracy, and maintain strong relationships that support a consistent and efficient invoicing processes.
• Create and maintain updated pricing for all client menus, ensuring alignment with company pricing models, macroeconomic trends, and business growth objectives.
  
  

Qualifications

Education & Experience:

• Bachelor’s degree in Data Science, Statistics, Computer Science, Business, or a related field.
• 2 years of experience in a BI Analyst or Data Analyst role.
  
  

Technical Skills

• Proficiency in SQL and experience working with relational databases.
• Strong experience with BI tools (e.g., Power BI, Tableau, Looker, Qlik).
• Proficient in Microsoft Excel, including pivot tables, VLOOKUPs, and data visualization tools.
• Experience with data modeling and ETL processes.
• Familiarity with statistical analysis and tools (e.g., R, Python, or SAS) is a plus.
  
  

Soft Skills

• Strong analytical thinking and problem-solving skills.
• Excellent communication and storytelling skills to convey data insights clearly.
• Ability to work both independently and collaboratively in a team environment.
• Strong attention to detail and a passion for data accuracy.
  
  

Preferred Qualifications

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Knowledge of data warehousing concepts and tools (e.g., Snowflake, Redshift).