Data Insights Analyst
3 weeks ago
About OJ Commerce
OJ Commerce, a rapidly expanding and profitable online retailer, is headquartered in Florida, USA, with a fully-functional office in Chennai, India.
We deliver exceptional value to our customers by harnessing cutting-edge technology, fostering innovation, and establishing strategic brand partnerships to enable a seamless, enjoyable shopping experience featuring high-quality products at unbeatable prices. Our advanced, data-driven system streamlines operations with minimal human intervention.
Our Product Portfolio
Our extensive product portfolio encompasses over a million SKUs and more than 2,500 brands across eight primary categories.
Global Presence
With a robust presence on major platforms such as Amazon, Walmart, Wayfair, Home Depot, and eBay, we directly serve consumers in the United States.
Responsibilities
· Help business stakeholders understand, interpret, and improve operational performance with the help of data.
· Analyze and interpret complex data to identify patterns & trends and provide actionable insights to stakeholders.
· Create hypotheses to explain business outcomes and validate them with data; design experiments to collect additional data to test hypotheses when required.
· Develop algorithms, models, and decision support systems to enable data-driven decision-making across the organization.
· Identify gaps in data and work with business, technology, and data teams to implement systems to collect and store data as required.
· Conduct thorough exploratory data analysis to identify underlying patterns, anomalies, and relationships within data sets.
· Utilize statistical methods and data visualization techniques to summarize key findings and insights.
· Prepare and present comprehensive EDA reports to stakeholders, highlighting significant findings and recommendations.
Skills Required
· Proven working experience in descriptive & diagnostic analytics; exposure to predictive and prescriptive analytics will be an advantage.
· Familiarity with analytics techniques such as time series analysis, regression analysis, cohort analysis, factor analysis, cluster analysis, sentiment analysis, and simulation.
· Exceptional analytical skills and the ability to grasp diverse business scenarios and frame them with numbers.
· Felicity with numbers; must have intermediate to advanced proficiency in statistics, statistical tools, and methodologies.
· Must have intermediate to advanced skills in SQL. Advance level skills in Excel (complex formulas, Power Query, and DAX) OR Python OR R is necessary to succeed.
· Good written & oral communication with intermediate fluency in English and the ability to clearly communicate findings.
What we Offer
• Competitive salary.
• Medical Benefits/Accident Cover.
• Flexi Office Working Hours.
• Fast-paced start-up.
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