Senior Data Analyst (E-commerce)

Jiffy; United States; Remote; USD 70,000 - 110,000; Full time

Job summary

Join a forward-thinking company as a Senior Data Analyst, where your expertise in analyzing large-scale datasets will drive impactful decisions. In this pivotal role, you'll collaborate with diverse teams to optimize ecommerce operations and enhance customer experiences. Your insights will shape data-driven strategies, while you mentor junior analysts and stay updated on industry trends. With generous compensation, a supportive team, and opportunities for growth, this position offers a chance to make a significant impact in a dynamic environment. If you're passionate about data and eager to contribute to innovative solutions, this role is for you.

Benefits

Opportunities to grow within the company

Generous compensation and employer paid benefits

Annual wellness and professional development stipend

High-caliber and supportive team

Perks of getting lots of clothing

Qualifications

• 5+ years of experience in data analysis, preferably in ecommerce.
• Strong analytical skills with proficiency in Python and SQL.

Responsibilities

• Conduct in-depth data analysis to identify trends and patterns.
• Create interactive data visualizations and reports for stakeholders.

Skills

Data Analysis

Python

SQL

Statistical Analysis

Data Visualization

Problem Solving

Project Management

Data Governance

Education

Bachelor's or Master's in Data Analytics

Bachelor's or Master's in Statistics

Bachelor's or Master's in Mathematics

Bachelor's or Master's in Computer Science

Job description

Jiffy.com is seeking a Senior Data Analyst to join our dynamic team. As a Senior Data Analyst, you will play a critical role in analyzing and interpreting large-scale data sets related to our customer base, payment systems, pricing, logistics, and customer cohorts. Your insights and recommendations will directly contribute to optimizing our ecommerce operations and enhancing customer experiences.

Key Responsibilities:

• Conduct in-depth data analysis to identify trends, patterns, and anomalies in large datasets.
• Collaborate with various teams to gather and consolidate data from multiple sources, ensuring data quality and accuracy.
• Develop and maintain data models to support business requirements and reporting needs.
• Create interactive and meaningful data visualizations, dashboards, and reports to communicate insights to stakeholders.
• Apply statistical techniques to analyze data and provide recommendations.
• Develop and implement predictive models to support forecasting and decision-making.
• Utilize advanced data mining techniques to discover hidden insights within our data.
• Collaborate with various teams, including business units, IT, and executives, to understand their data needs and provide data-driven solutions.
• Mentor and provide guidance to junior data analysts on best practices, data analysis techniques, and tools.
• Stay up-to-date with the latest industry trends, tools, and technologies in data analytics

Qualifications & Skills:

• Bachelor's or Master's degree in a quantitative field such as Data Analytics, Statistics, Mathematics, Computer Science, or a related field.
• 5+ years work experience with 3+ years of experience as a Data Analyst, preferably in an ecommerce or related industry.
• Proficiency in using Python and SQL to query data, generate visualizations, and run statistical analysis.
• Strong analytical and problem-solving skills and attention to detail with the ability to think critically and propose innovative solutions to complex business challenges.
• Excellent communication skills with the ability to effectively present data-driven insights to technical and non-technical stakeholders.
• Ability to work independently and collaboratively in a fast-paced environment.
• Strong project management skills, including the ability to prioritize and meet deadlines.
• Knowledge of data governance and best practices.
• Experience working with large-scale datasets and conducting statistical analysis.
• Knowledge of e-commerce and marketing analytics data is a plus.

What we offer:

• Opportunities to grow within the company
• Generous compensation and employer paid benefits
• Annual wellness and professional development stipend
• High-caliber and supportive team with proven results
• Perks of getting lots of clothing!