Senior Data Analyst - Part Time Remote Position | Data-Driven Business Insights & Analytics Role at careerzynith
About careerzynith
Welcome to careerzynith, a global leader in retail innovation and technology transformation. Since our founding, we've been committed to revolutionizing the way businesses operate and deliver value to customers around the world. At careerzynith, we believe that data is the cornerstone of every meaningful business decision, and we're looking for talented individuals who share our passion for turning complex information into actionable insights.
Our Technology division is at the forefront of retail innovation, developing cutting-edge solutions that impact millions of customers daily. We embrace a culture of continuous learning, collaboration, and innovation. When you join careerzynith, you become part of a dynamic team that's solving complex challenges and shaping the future of retail technology.
About the Data Analytics Team
Data Adventures, our innovative analytics division, operates like an agile startup within the broader careerzynith ecosystem. We build industry-leading data products that deliver meaningful, customer-driven insights and help merchants and suppliers make better business decisions across omnichannel execution. Our team works at the intersection of business intelligence, data science, and strategic consulting, providing comprehensive solutions that drive measurable business outcomes.
As a Senior Data Analyst in this group, you'll play a prominent technical role that contributes directly to revealing critical data insights and delivering exceptional business results. You'll work closely with Product and Data Science teams to transform raw data into strategic assets that power decision-making across the entire organization.
What You'll Do
As a Senior Data Analyst at careerzynith, you'll be responsible for translating business requirements into meaningful analytical projects. Your work will directly impact our ability to serve customers better and optimize operations across all channels. Here's what you can expect in this role:
Business Requirements Analysis:
You'll dive deep into understanding business information requirements, analyzing business systems and processes to identify the most appropriate data sources that serve specific purposes.
Statistical Analysis:
Support the identification and application of statistical methods based on project requirements. You'll aid in the planning, design, and execution of exploratory data analysis research projects.
Project Translation:
Convert business requirements into structured projects, activities, and tasks while developing specific artifacts. You'll identify appropriate methodologies and tools to provide effective solutions.
Cross-Functional Collaboration:
Work closely with Data Scientists, Business Stakeholders, and Engineering teams to ensure analytical solutions align with business objectives.
Data Visualization:
Generate appropriate graphical representations of data and model results. Understand client requirements to design suitable data visualizations for various datasets.
Insight Generation:
Transform complex datasets into compelling narratives that drive strategic decision-making across the organization.
What You'll Bring
We're looking for candidates who bring a unique combination of technical expertise, business acumen, and passion for problem-solving. The ideal candidate will have:
Essential Qualifications
Educational Background:
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
Analytical Mindset:
Strong problem-solving skills with an analytical approach and critical thinking capabilities.
Data Experience:
Proven experience working with large datasets, extracting meaningful insights, and telling compelling stories using data.
Technical Proficiency:
Ability to work with massive data and write code and queries in SQL, Python, or R for data analysis.
Database Knowledge:
Comprehensive understanding of database technologies and distributed datastores including SQL, NoSQL, and cloud-based solutions.
Big Data & Cloud:
Familiarity with Big Data and Cloud technologies such as Google Cloud Platform and BigQuery.
Visualization Skills:
Experience with visualization tools and best practices including Looker, PowerBI, Tableau, or similar platforms.
Preferred Skills
• Experience in retail or e-commerce analytics
• Knowledge of machine learning concepts and their business applications
• Experience with A/B testing and experimental design
• Strong presentation skills with the ability to communicate c
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Welcome to careerzynith, a global leader in retail innovation and technology transformation. Since our founding, we've been committed to revolutionizing the way businesses operate and deliver value to customers around the world. At careerzynith, we believe that data is the cornerstone of every meaningful business decision, and we're looking for talented individuals who share our passion for turning complex information into actionable insights.
Our Technology division is at the forefront of retail innovation, developing cutting-edge solutions that impact millions of customers daily. We embrace a culture of continuous learning, collaboration, and innovation. When you join careerzynith, you become part of a dynamic team that's solving complex challenges and shaping the future of retail technology.
About the Data Analytics Team
Data Adventures, our innovative analytics division, operates like an agile startup within the broader careerzynith ecosystem. We build industry-leading data products that deliver meaningful, customer-driven insights and help merchants and suppliers make better business decisions across omnichannel execution. Our team works at the intersection of business intelligence, data science, and strategic consulting, providing comprehensive solutions that drive measurable business outcomes.
As a Senior Data Analyst in this group, you'll play a prominent technical role that contributes directly to revealing critical data insights and delivering exceptional business results. You'll work closely with Product and Data Science teams to transform raw data into strategic assets that power decision-making across the entire organization.
What You'll Do
As a Senior Data Analyst at careerzynith, you'll be responsible for translating business requirements into meaningful analytical projects. Your work will directly impact our ability to serve customers better and optimize operations across all channels. Here's what you can expect in this role:
Business Requirements Analysis:
You'll dive deep into understanding business information requirements, analyzing business systems and processes to identify the most appropriate data sources that serve specific purposes.
Statistical Analysis:
Support the identification and application of statistical methods based on project requirements. You'll aid in the planning, design, and execution of exploratory data analysis research projects.
Project Translation:
Convert business requirements into structured projects, activities, and tasks while developing specific artifacts. You'll identify appropriate methodologies and tools to provide effective solutions.
Cross-Functional Collaboration:
Work closely with Data Scientists, Business Stakeholders, and Engineering teams to ensure analytical solutions align with business objectives.
Data Visualization:
Generate appropriate graphical representations of data and model results. Understand client requirements to design suitable data visualizations for various datasets.
Insight Generation:
Transform complex datasets into compelling narratives that drive strategic decision-making across the organization.
What You'll Bring
We're looking for candidates who bring a unique combination of technical expertise, business acumen, and passion for problem-solving. The ideal candidate will have:
Essential Qualifications
Educational Background:
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
Analytical Mindset:
Strong problem-solving skills with an analytical approach and critical thinking capabilities.
Data Experience:
Proven experience working with large datasets, extracting meaningful insights, and telling compelling stories using data.
Technical Proficiency:
Ability to work with massive data and write code and queries in SQL, Python, or R for data analysis.
Database Knowledge:
Comprehensive understanding of database technologies and distributed datastores including SQL, NoSQL, and cloud-based solutions.
Big Data & Cloud:
Familiarity with Big Data and Cloud technologies such as Google Cloud Platform and BigQuery.
Visualization Skills:
Experience with visualization tools and best practices including Looker, PowerBI, Tableau, or similar platforms.
Preferred Skills
• Experience in retail or e-commerce analytics
• Knowledge of machine learning concepts and their business applications
• Experience with A/B testing and experimental design
• Strong presentation skills with the ability to communicate c
Apply tot his job
Apply To this Job