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Financial Controller & Data Analyst - FP&A

BFL Group, Retail, United Arab Emirates

BFL Group is a prominent off-price retailer of fashion and homeware, known for offering exceptional pieces from renowned designer brands at up to 80% off the original retail price. With our headquarters in the United Arab Emirates, we cater to markets across the region and Southeast Asia. Our unique "Treasure Hunt" model ensures that there is always something new and exciting to discover in our stores, making every visit a delightful experience for our customers.

We are currently seeking a Financial Controller & Data Analyst - FP&A to join our team. This role plays a pivotal part in driving BFL Group's financial and operational success by utilizing advanced data analytics and commercial finance expertise to inform strategic decision-making. The successful candidate will be responsible for providing actionable insights through data analysis, developing BI dashboards, and automating processes to support the FP&A team. Additionally, they will collaborate closely with merchandising and buying teams to manage "open-to-buy" budgets effectively while ensuring liquidity and maintaining high standards of data quality and integrity across the organization.

Key responsibilities include partnering with merchandising teams to align inventory purchases with sales forecasts, monitoring liquidity to balance inventory investments with cash flow needs, leading data governance initiatives, designing interactive BI dashboards using tools like Tableau or Power BI, analyzing large datasets with Python, automating data workflows for efficiency, supporting budgeting and forecasting activities integrating inventory planning insights, collaborating with cross-functional teams on data integration efforts, and presenting complex data findings to stakeholders.

The ideal candidate should possess a Bachelor's degree in data science, Computer Science, Statistics, Finance or related fields along with at least 5 years of experience in data analysis within financial or retail contexts. Proficiency in Python for data analysis and experience with BI tools such as Tableau or Power BI are required. Strong analytical skills, basic understanding of financial principles and retail metrics are preferred. Excellent communication skills and the ability to work collaboratively in a team environment are essential qualities we seek. Experience in off-price or discount retail is highly desirable.

If you believe you have what it takes to excel in this role at BFL Group, we encourage you to apply now! Take this opportunity to become part of a Great Place to Work© where your skills will be valued as you contribute towards our mission of delighting customers with exceptional products at unbeatable prices. Join us on this exciting journey towards continued success!

Key Job Requirements:
  • 5+ years of experience in data analysis
  • Experience in off-price or discount retail is highly desirable
  • Proficiency in Python for data analysis
  • Bachelor’s degree in data science, Computer Science, Statistics, Finance, or a related field
  • Strong analytical skills with the ability to interpret complex datasets
  • Basic understanding of financial principles and retail metrics is preferred
Key Job Responsibilities:
  • Partner with merchandising and buying teams to manage 'open to buy' budgets
  • Monitor and manage liquidity, providing recommendations to balance inventory investments with the company’s cash flow needs and short-term financial obligations
  • Lead data governance initiatives, establishing policies and procedures to ensure data quality, consistency, and security across all systems and departments
  • Design and maintain interactive BI dashboards (e.g., using Tableau or Power BI) to visualize key financial, operational, and inventory metrics for stakeholders
Skills:
  • Data analysis
  • Python
  • Tableau
  • Financial planning and analysis
  • Data governance

Seniority Level: Senior Level

Job Functions: Finance

  • Data Analysis
  • Financial Planning & Analysis

Industries : Retail

  • Fashion
  • Homeware

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