Experienced Full Stack Data Analyst – Web & Cloud Application Development

Join blithequark, a leading retail and technology company, as a Full Stack Data Analyst in our Data Ventures team. As a key member of our team, you will play a crucial role in driving business decisions through data-driven insights and analysis. If you're passionate about data, have a knack for storytelling, and are eager to make a significant impact on our products and services, we want to hear from you.

About blithequark

At blithequark, we're committed to helping people live better by saving them money. Our mission is the foundation for every decision we make, from responsible sourcing to sustainability – and everything in between. As a blithequark partner, you'll play a vital role in shaping the future of retail, tech, marketing, finance, and many other industries – all while making a difference in the lives of millions of customers worldwide. Here, your work has an impact every day. What are you waiting for?

Work Synopsis

As a Full Stack Data Analyst, you'll be at the forefront of our data translation and analysis efforts. You'll assume a critical role in unraveling customer behavior through our products, researching, gathering, and analyzing customer data, and creating actionable insights that drive business decisions. You'll be the creative force behind customer-driven dashboards that capture key performance indicators, helping our product teams in their core decision-making process.

Key Responsibilities

* Collaborate with business and product partners to tackle complex business challenges and identify patterns and valuable opportunities

• Apply your expertise in quantitative analysis, data mining, and data visualization to uncover meaningful insights and drive business decisions
• Define and assess key performance metrics for new product launches
• Create data visualizations to monitor and measure the impact of product initiatives and business challenges
• Identify new opportunities to improve key financial metrics, understanding underlying drivers for change in metrics
• Lead exploratory data analysis, including hypothesis testing, statistical derivation, and statistical analysis
• Work with data stewards and data engineering teams to collect and handle accurate data from various sources
• Work effectively cross-functionally and communicate data insights and findings to non-technical stakeholders

Essential Qualifications

* Bachelor's degree in Business, Engineering, Statistics, Finance, Mathematics, Computer Science, or related field

• 2 years' experience in data analysis, data science, statistics, or related field
• Strong analytical skills and ability to create logical, data-driven recommendations and solutions
• Experience with languages used to control data and extract insights from large datasets (SQL, Python, Presto, etc.)
• Strong storytelling experience with data visualizations in Power BI, Tableau, Looker, etc.
• Experience with data quality tools like Google DataPlex (Collibra Data Quality or SAS Data Management or IBM InfoSphere Data Server)
• Experience with quality testing using Selenium, Cucumber, or Tosca
• Experience in building multi-step ETL jobs/data pipelines and working with workflow management systems
• Experience handling complex data on cloud platforms (Ideally Google Bigquery and Hive)
• Experience with data visualization (E-R) and have strong BI concepts
• Basic understanding of statistics and AI models
• Related experience in the retail or finance industries
• Strong, persuasive oral and written communication skills and ability to build strong relationships

Preferred Qualifications

* Master's degree in Business, Computer Science, Statistics, Finance, Mathematics, or related field

• Experience in data science, data analysis, statistics, or related field
• Experience with data visualization tools like Prophet, Teradata, Hive, AWS Redshift, Sky blue Neurotransmitter Analysis, Snowflake, etc.
• Experience with cloud-based data platforms like Google Cloud, Amazon Web Services, or Microsoft Azure
• Experience with machine learning algorithms and models
• Experience with data warehousing and business intelligence tools
• Experience with data governance and data quality frameworks

Benefits and Advantages

* Competitive salary package

• Performance-based bonuses
• 401(k) match
• Stock purchase plan
• Paid maternity and parental leave
• PTO
• Various health plans
• And many more!

Work Environment and Company Culture

As a Full Stack Data Analyst at blithequark, you'll be part of a dynamic and collaborative team that values innovation, creativity, and teamwork. You'll have the opportunity to work on a wide range of projects, from data analysis and visualization to data science and machine learning. Our team is passionate about using data to drive business decisions and improve customer experiences. We're committed to creating a work environment that's inclusive, diverse, and supportive of all employees.

How to Apply

If you're passionate about data, have a knack for storytelling, and are eager to make a significant impact on our products and services, we want to hear from you. Please submit your application, including your resume, cover letter, and any relevant documents. We can't wait to hear from you! Apply Job! Apply for this job