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PS Salon & Spa

Business Intelligence Data Analyst

PS Salon & Spa, Cleveland, Ohio, us, 44101

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Business Intelligence (BI) Data Analyst

We are seeking a highly analytical and detail-oriented Business Intelligence Data Analyst to join our team at PS Salon & Spa. The ideal candidate will transform data into actionable insights that drive strategic decision-making, improving operations, increasing efficiency, and achieving 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 process. Create and maintain updated pricing for all client menus, ensuring alignment with company pricing models, macroeconomic trends, and business growth objectives.

Qualifications

Education & Experience Bachelors 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).

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