Lead Data Analyst

EBlock

Location: Burlington, Vermont

Type: Full Time

Education: Master's Degree

Experience: Greater than 10 years

E INC is the parent company of EBlock and EDealer, unifying our approach to products, services, and strategies under one Vision and one Mission: to create the best digital auction and retailing platform in the world by connecting the automotive wholesale and retail experiences. Our brands and their technologies make it easy for a vehicle to move between buyers and sellers throughout its entire ownership lifecycle. Learn more at https://e.inc/

Role Summary:

E INC is seeking Principle/Lead Data Analyst to join our Data & Analytics team to build and manage BI reporting. The role will be a senior member of the Business Intelligence (BI) team and will work with stakeholders from various sides of the business to understand data models, pull data and perform analyses to drive business decision making. Analyze data to identify trends, patterns, anomalies, and other helpful information and at times, be prepared to present
findings and discuss trends and insights. Review and improve data and analytics processes, methods, and tools to increase efficiency and accuracy. The candidate will also be an active contributor to the Data & Analytics team policy committee to establish and implement standards across the company.

What You Will Do:

  • Solve data questions requiring advanced transforms, custom queries, statistical analysis, or other related tasks outside the realm of possibility for a self-service tool.
  • Create ad hoc scripts to extract meaning from the underlying data and answer relevant business questions.
  • Convey results that speak to the requester’s core business questions and provide key insights and relevant action items.
  • Clearly communicate nuanced and complex analytical concepts, often translating meaning to impact on the business.
  • Sustain a comprehensive knowledge of analytics tools (such as Power BI, SQL, JupyterLab, Tableau, statistical languages/packages, or other tools to easily analyze and visualize data) and apply knowledge to help build out more dynamic, automated, and easy to consume reporting for key stakeholders.
  • Build reporting dashboards from start to finish, including identification of strategic key performance indicators (KPIs), queries to obtain the data, visualizations, and dashboard maintenance.
  • Educate team members on data literacy to promote proper and relevant usage of dashboards and reporting while also maintaining a general understanding of team and project priorities.
  • Collaborate with internal partners to identify and understand key data sources for analytics.
  • Strong communication skills to translate reports into insights and be able to present to senior business leaders

What You Will Need:

  • MBA or Master’s degree in field related to statistics, data analytics, programming, Information Systems, Data Science or Computer Science.
  • 10-12+ years of experience in the following:
    • Advanced and experienced in SQL and SQL Server.
    • Advanced and experienced in building complex dashboards for variety of audiences with advanced BI tools such as Tableau, Google Analytics or PowerBI.
    • Strong knowledge and working experience of building Data Structures in Amazon Web Services (AWS)
    • Experience utilizing databases and warehouses for analysis.
    • Experience with infrastructure tools (e.g., Transactional Systems knowledge, data repositories, data catalogues)
    • Experience with data management tools (e.g., integrations – structured/rectangular and non-structured data/excel, external, APIs)
    • Programming background, specifically in statistical languages and packages such as Python.
    • Experience with forecasting, statistical analysis, predictive algorithms, clustering, and segmentation.
  • Comfortable working in a fast-paced environment and interfacing with a broad set of stakeholders across various functions (i.e., Business, IT, Operations).
  • Excellent verbal and written communication skills presenting complex analytical results to both technical and non-technical audiences.

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