XTN-A365626 | DATA SCIENTIST

Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor’s degree in Data Analytics, Business, Finance, Economics, or related field., 3-5 years of experience in data analysis within wholesale, ecommerce, or retail sectors., Proficiency in Microsoft Excel, including PivotTables and advanced formulas., Experience with ERP, ecommerce, or financial reporting systems like Microsoft Dynamics..

Key responsibilities:

  • Analyze sales, inventory, and customer engagement data to generate insights.
  • Develop and maintain financial models and forecasts for business planning.
  • Collaborate with cross-functional teams to ensure data accuracy across systems.
  • Prepare reports and presentations highlighting trends and recommendations for management.

KMC Solutions logo
KMC Solutions Real Estate Management & Development Large https://kmc.solutions/
1001 - 5000 Employees
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Job description

We are seeking a highly analytical and detail-oriented Data Scientist to support our Wholesale, Ecommerce, and Finance teams with insights that drive strategic decision-making and performance improvement. This role will be responsible for analyzing sales and financial data, building and maintaining robust reporting tools, and delivering clear, actionable takeaways to cross-functional stakeholders. The Data Analyst will play a pivotal role in providing actionable insights and analytics to support decision-making across wholesale, ecommerce, and retail operations. This role is crucial for optimizing business processes and improving profitability by analyzing complex data sets and translating them into strategic recommendations.

Join a dynamic team in an innovative and fast-paced industry, with opportunities to work on multi-channel operations. Enjoy the chance to make impactful decisions using your analytical skills, with exposure to advanced data systems and tools. Benefit from a supportive work environment that values continuous learning and development in the fields of data analytics and business operations.

  • Conduct detailed data analysis on multiple aspects of business operations, including sales performance, inventory levels, and customer engagement, using advanced Excel techniques and BI tools.
  • Develop and maintain financial models and forecasts to support business planning and decision-making processes.
  • Collaborate with cross-functional teams to gather data and insights, ensuring data accuracy and consistency across various reporting systems such as ERP and ecommerce platforms.
  • Prepare comprehensive reports and presentations, highlighting trends, anomalies, and recommendations to senior management.
  • Stay abreast of industry trends and best practices in data analytics and apply this knowledge to enhance business outcomes.
  • Bachelor’s degree in Data Analytics, Business, Finance, Economics, or a related field.
  • Minimum of 3-5 years of experience in data analysis, preferably within the wholesale, ecommerce, or retail sectors.
  • Strong proficiency in Microsoft Excel, including PivotTables, advanced formulas, charts, and data modeling.
  • Proven experience with ERP, ecommerce, or financial reporting systems like Microsoft Dynamics.
  • Demonstrated ability to synthesize complex data sets and present clear, actionable takeaways.
  • Excellent verbal and written communication skills, with the ability to convey complex information in an understandable manner.
  • Familiarity with BI tools such as Tableau, Power BI, or similar platforms is highly desirable.
  • Knowledge of the home décor and furniture industry, or other consumer products in B2B or B2C channels, is a plus.
  • Strong organizational and problem-solving skills, with the capability to manage multiple priorities in a fast-paced environment.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Real Estate Management & Development
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Microsoft Excel
  • Organizational Skills
  • Communication
  • Problem Solving

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