Business Intelligence Data Analyst
- 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.
- 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.
- 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.
- 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.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
- Knowledge of data warehousing concepts and tools (e.g., Snowflake, Redshift).
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