Technical Data Analyst

at  Carbon6

WHO WE ARE

We go beyond software. Carbon6 is building a community to support ecommerce sellers by removing the barriers to selling online and simplifying their path to success. Developed by the brightest minds in the marketplace ecosystem, our suite of software tools and resources help entrepreneurs succeed at every stage of their journey. We are a global company across North America, Europe and Asia, made up of passionate entrepreneurs, expert sellers, and innovative thought leaders.
Founded in 2021, we have raised close to $100 million and quickly grown into a market leader. We work with the largest and most successful sellers, brands, agencies, and aggregators around the world to drive growth, maximize profitability and manage with intelligence to scale their businesses. In addition to collaborating with global giants such as Amazon, Walmart, Alibaba, and others, we foster partnerships with key industry players like BigCommerce, Teikametrics, Jungle Scout, and more. Through our innovative solutions and strategic alliances, we empower businesses of all sizes to excel in today’s competitive landscape, driving success and fostering long-term growth for both our clients and partners.

THE OPPORTUNITY (HYBRID)

Do you look at spreadsheets and think… why is this clearer? More actionable? Enhanced with meaningful visualizations? Do you stare at rows of data and love looking for and finding patterns? Is there a joy you find when you take an unordered collection of raw information and turn it into something meaningful, and better yet, see others use what you’ve created to make great decisions? If these all ring true to you, then you just might be the Data Analyst that we’re looking for.
Carbon6 is searching for a Data Analyst for our best-of-breed, multi-million dollar Amazon reimbursements and recovery tool. In this role, you’ll have a massive influence on the decisions that our internal team and our customers make–many who are themselves million-dollar Amazon sellers. This role is hands-on, and far more than just creating charts and graphs through a BI tool. You’ll be deeply involved in our data collection, migration, aggregation, analysis, and automation.

YOUR QUALIFICATIONS

• Practical Experience: Solid track record as an Intermediate/Senior Data Analyst for a minimum of 4 years, actively involved in crafting and sustaining data analytics in complex settings
• SQL Expertise: Proficient in SQL, including data modeling and crafting advanced queries.
• Business Intelligence Tools: Experienced in using BI tools like PowerBI, Tableau, or Sisense to visualize data and build dashboards.
• Detail-oriented: Strong attention to detail, with a passion for solving complex data challenges and ensuring data accuracy.
• Best Practices: Comprehensive grasp of data analysis principles, methodologies, and tools, encompassing data retrieval, staging, and visualization.
• Analytical Skills: Exceptional analytical prowess, coupled with the capability to dissect intricate data compilations and extract significant interpretations.
• Teamwork and Communication: Adept at seamlessly collaborating with diverse teams and stakeholders.
• Agile: Proven experience working on an Agile team with 1- or 2-week sprints, Scrum, and daily standups.
• BONUS: Amazon Vendor/Seller Central experience either directly or through APIs

• Metrics Development: Define and establish key metrics that matter to our organization, and drive toward calculating those metrics across massive and often disparate datasets, both internal and external..
• Data Integration: Identify and integrate new data sources into our data ecosystem to enhance our analytical capabilities from key Amazon, Walmart, and key third parties across the ecommerce ecosystem
• Cross-functional Collaboration: Work closely with sales, operations, and of course product and engineering to understand their data needs and prioritize them in line with business goals.
• Data Processing: Leverage SQL to transform raw data into actionable insights, continuously optimizing our data platform for improved performance and scalability.
• Automation and Quality Assurance: Build trust in our data through robust automation and data quality processes that ensure that we never expose invalid or inaccurate data to your internal and external consumers.
• Data Visualization: Use your skills in BI tools (PowerBI, Tableau, Sisense, or similar) to create compelling reports and dashboards that support data-driven decisions, going beyond basic informatics to reveal key insights and drive decision making.
• Ad-hoc Solutions: Develop quick, temporary data solutions for immediate needs while contributing to long-term data infrastructure.
• Documentation: Ensure that all data processes and solutions are well-documented and sustainable for future use.