Bayt.com
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Job Description

Key Responsibilities: 

  1. Utilize SQL and Python to extract, manipulate, and analyze large datasets from various sources, including transactional data, customer databases, and marketing campaigns. 
  2. Lead performance reporting and analysis initiatives, providing insights into company-wide sales and margin performance across different brands and sectors. 
  3. Develop reports using tools such as Databricks, Excel, and PowerPoint to visualize key performance metrics and trends. 
  4. Conduct in-depth analysis of customer trends, product analytics, segmentation, persona, and basket analysis to uncover actionable insights. 
  5. Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. 
  6. Drive continuous improvement in data quality, accuracy, and reporting processes to enhance decision-making capabilities. 
  7. Present findings and insights to senior leadership, in a clear, concise, and compelling manner, focusing on the narrative behind the data. 
  8. Mentor and coach junior team members, fostering a culture of continuous learning and development. 


Skills

Qualification :

  1. Bachelor's degree from a Tier 1 college in a quantitative field such as Mathematics, Statistics, Computer Science, or related field. Master's degree preferred. 
  2. Minimum of 8 years of relevant experience in data analysis, preferably within the retail industry or a related field. 
  3. Proficiency in SQL and Python for data extraction, manipulation, and analysis. Experience with data visualization tools such as Databricks, Tableau, or Power BI is highly desirable. 
  4. Proven track record of driving insights and recommendations from complex datasets to influence business strategy and decision-making. 
  5. Excellent storytelling and communication skills, with the ability to distill complex data into actionable insights and present them to senior leadership. 
  6. Strong project management skills with the ability to prioritize tasks, meet deadlines, and manage multiple projects simultaneously. 
  7. Self-motivated and proactive with a strong sense of ownership and accountability. 
  8. Ability to work effectively both independently and as part of a collaborative team environment.  

 

Additional role requirements: 

Join our team if you are a data-driven storyteller with a passion for driving business success through insights and analytics, we invite you to join our team and make a significant impact on our company's growth journey. Apply now to be part of a dynamic and innovative organization committed to delivering exceptional experiences to our customers and stakeholders. 


Job Details

Job Location
India
Company Industry
Fashion & Apparel
Company Type
Employer (Private Sector)
Employment Type
Full Time Employee
Monthly Salary Range
Unspecified
Number of Vacancies
1
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Alshaya Group
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Alshaya Group is a dynamic family-owned enterprise, first established in Kuwait in 1890. With a consistent record of growth and innovation, Alshaya Group is one of the world’s leading brand franchise operators, offering an unparalleled choice of well-loved international brands to customers, Alshaya Group’s portfolio extends across MENA, Russia, Turkey and Europe, with thousands of stores, cafes, restaurants and leisure destinations, as well as a growing online and digital business. Operating in multiple sectors including Fashion, Food, Health & Beauty, Pharmacy, Home Furnishings and Leisure & Entertainment, Alshaya Group colleagues are united by a commitment to authentically deliver great customer service and brand experiences. Fresh, modern and relevant, Alshaya’s constantly evolving portfolio reflects the choices and lifestyle of its customers. From flagship stores and restaurants in prestige malls, through to local coffee shops, drive-thrus and online, Alshaya Group brings customers the brands they love in the places they want to be. Brands such as Starbucks, H&M, Mothercare, Debenhams, American Eagle Outfitters, P.F. Chang’s, The Cheesecake Factory, The Body Shop, M.A.C, Victoria’s Secret, Boots, Pottery Barn and KidZania.

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