Retail Data Analyst

At Vintti, we specialize in providing US businesses with staffing solutions that feel local. By connecting companies with Latin American professionals operating in compatible time zones, we ensure that work schedules align naturally with US business hours. This temporal harmony facilitates immediate response times, efficient project management, and a cohesive team dynamic regardless of physical location.

A Retail Data Analyst is a crucial professional in the retail industry, responsible for collecting, analyzing, and interpreting data to help businesses optimize their operations and enhance customer satisfaction. By examining sales trends, inventory levels, and customer behavior, they provide actionable insights that drive strategic decision-making. Retail Data Analysts leverage various data sources and analytical tools to forecast demand, identify market opportunities, and streamline supply chain processes. Their expertise enables retailers to make data-driven decisions, improve marketing strategies, and ultimately increase profitability and competitiveness in the market.

- Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Business, or related field
- Proven experience as a Data Analyst, preferably in retail or consumer goods industry
- Proficiency with statistical software and tools (e.g., SQL, R, Python)
- Strong skills in Excel and data visualization tools (e.g., Tableau, Power BI)
- Experience with data warehousing, ETL processes, and data management systems
- Solid understanding of retail metrics, KPIs, and performance analysis
- Ability to interpret complex data sets and communicate findings effectively
- Familiarity with A/B testing methodologies and predictive modeling techniques
- Excellent analytical, problem-solving, and critical thinking skills
- Strong attention to detail and accuracy in data analysis and reporting
- Ability to work independently and collaboratively within cross-functional teams
- Strong organizational and time management skills, with the ability to manage multiple projects simultaneously
- Effective written and verbal communication skills for presenting insights and recommendations
- Experience in market and competitor analysis
- Knowledge of data integration and data validation processes
- Experience training and mentoring junior analysts or team members
- Up-to-date knowledge of industry trends, data analysis methodologies, and retail technologies

- Collect, clean, and analyze retail sales data
- Monitor and report on key performance indicators (KPIs)
- Develop and maintain analytical dashboards
- Collaborate with cross-functional teams to interpret data
- Conduct market and competitor analysis
- Perform root cause analysis on data anomalies
- Provide ad-hoc analysis and reporting
- Design and implement A/B tests
- Forecast future sales trends and inventory needs
- Present findings and recommendations to stakeholders
- Create and manage data visualizations
- Ensure data accuracy and consistency
- Support the integration of new data sources and tools
- Train and mentor junior analysts
- Stay updated on industry trends and methodologies

The ideal candidate for the Retail Data Analyst role will possess a Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Business, or a related field, along with proven experience as a Data Analyst, specifically in the retail or consumer goods industry. They will demonstrate proficiency with statistical software and tools such as SQL, R, and Python, and showcase strong skills in Excel and data visualization tools like Tableau or Power BI. This candidate will have a solid understanding of retail metrics, KPIs, and performance analysis, coupled with experience in data warehousing, ETL processes, and data management systems. They will exhibit excellent analytical and problem-solving abilities, with a keen attention to detail and accuracy in data analysis and reporting. The ideal candidate will be adept at interpreting complex data sets, communicating findings effectively, and presenting actionable insights to stakeholders. They will have familiarity with A/B testing methodologies and predictive modeling techniques, along with experience in market and competitor analysis. Strong organizational and time management skills will enable them to manage multiple projects simultaneously, while their proactive, critical thinking approach will drive innovative solutions. This person will thrive in a collaborative team environment, will possess effective written and verbal communication skills, and will demonstrate mentoring capabilities for guiding junior analysts. They will maintain up-to-date knowledge of industry trends, data analysis methodologies, and retail technologies, and be resilient and adaptable to changing business needs. Additionally, the ideal candidate will have a customer-centric mindset, a passion for data-driven decision making, and a commitment to maintaining data confidentiality and integrity, setting them apart as an exceptional fit for this role.

- Collect, clean, and analyze retail sales data using statistical software and tools
- Monitor and report on key performance indicators (KPIs) for sales, inventory, and customer behavior
- Develop and maintain daily, weekly, and monthly analytical dashboards for various retail metrics
- Collaborate with marketing, merchandising, and supply chain teams to interpret data and provide actionable insights
- Conduct market and competitor analysis to identify trends and opportunities for business growth
- Perform root cause analysis on data anomalies and discrepancies
- Provide ad-hoc analysis and reporting based on specific business needs and requests
- Design and implement A/B tests to evaluate the impact of changes in pricing, promotions, and store layouts
- Forecast future sales trends and inventory needs using predictive modeling techniques
- Present findings and recommendations to senior management and stakeholders
- Create and manage data visualizations to communicate insights effectively
- Ensure data accuracy and consistency by maintaining data integrity checks and validation processes
- Support the integration and utilization of new data sources and analytical tools
- Train and mentor junior analysts and other team members on data analysis techniques and best practices
- Stay updated on the latest industry trends, data analysis methodologies, and retail technologies

- Analytical mindset with a passion for data-driven decision making
- Detail-oriented with a strong focus on accuracy and data integrity
- Proactive problem solver with a critical thinking approach
- Strong communication skills for conveying complex data insights clearly
- Collaborative team player with the ability to work effectively across departments
- Highly organized with excellent time management and prioritization skills
- Inquisitive nature, always eager to learn and adapt to new tools and techniques
- Ability to thrive in a fast-paced, dynamic retail environment
- Innovative thinker with a drive for continuous improvement and optimization
- Customer-centric focus with an understanding of consumer behavior
- Resilient and adaptable to changing business needs and priorities
- Proven leadership and mentoring capabilities for guiding team members
- Technologically savvy with a keenness for staying updated on industry advancements
- Self-motivated and capable of working independently with minimal supervision
- Strong ethical standards and commitment to maintaining data confidentiality and integrity

- Competitive salary range, commensurate with experience
- Comprehensive health, dental, and vision insurance plans
- Flexible work hours and remote work options
- Generous paid time off (PTO) policy and holidays
- 401(k) retirement plan with company match
- Professional development and training opportunities
- Tuition reimbursement for further education
- Employee discount on store products
- Health and wellness programs, including gym membership discounts
- Paid parental leave and family support programs
- Employee assistance program (EAP) for mental health and counseling services
- Career advancement opportunities within the company
- Annual performance bonuses and incentive programs
- Collaborative and inclusive work environment
- Access to the latest analytical tools and technologies