Data Analyst with SQL and Python Business 🏆

Responsibilities:

• Collect, cleanse, and validate extensive datasets—particularly POS and transactional data—from various sources to ensure accuracy and dependability.
• Analyze sales performance across products, categories, locations, and timeframes to uncover trends, opportunities, and areas for enhancement.
• Construct and maintain dashboards, automated reports, and visualizations using tools like Power BI, Tableau, or Excel.
• Monitor key retail KPIs, including sales, margin, pricing accuracy, promotions, shrinkage, and inventory turnover.
• Conduct exploratory data analyses to reveal patterns in customer purchasing behavior.
• Assist merchandising and operations teams in assessing product assortment, pricing strategies, and promotional effectiveness.
• Ensure the integrity of POS data by investigating discrepancies in sales, pricing, scanning, and inventory records.
• Collaborate with IT and store operations to oversee data flows between POS systems and analytical platforms.
• Prepare weekly, monthly, and ad hoc reports summarizing performance and opportunities for our leadership team.
• Execute statistical analyses and develop predictive models to aid in forecasting and operational planning.
• Document data processes, methodologies, and findings in a clear and comprehensive manner.
• Present analytical outcomes to both technical and non-technical stakeholders.

Skills:

• A bachelors degree in Data Science, Statistics, Business Analytics, Computer Science, or a related field.
• 1–3+ years of experience as a Data Analyst, preferably in retail or POS analytics.
• Proficiency in SQL and a solid background in working with relational databases.
• Strong skills in data visualization tools such as Power BI, Tableau, or Looker.
• Advanced Excel skills.
• Experience handling POS systems and retail data structures (such as UPCs, SKUs, pricing files, promotions, and inventory feeds).
• Excellent problem-solving abilities with a keen eye for data accuracy.
• Ability to distill intricate analyses into clear, actionable recommendations.
• Exceptional communication skills and the capability to work collaboratively in a cross-functional setting.

Benefits:

• 💰 Competitive salary and benefits package
• 📈 Opportunities for professional growth in data analytics and retail operations
• 🌟 Supportive and collaborative work environment
• 🎯 Insights that directly impact business strategy

Qualifications:

• Bachelors degree in Data Science, Statistics, Business Analytics, Computer Science, or related field
• 1–3+ years of experience as a Data Analyst
• Proficiency in SQL and relational databases
• Strong skills in data visualization tools
• Advanced Excel skills
• Experience in retail or POS analytics
• Excellent problem-solving abilities
• Exceptional communication skills