Job Description:

• You are kind, curious, and enjoy enabling sound data-based decision-making using your combined skills and/or experience in business analytics, data visualization, and data engineering.
• Maybe you delight in turning technical support data into feedback for product teams, or perhaps you love reducing duplication of effort by developing automated analytics solutions. In any case, you love having ample opportunities to blend your many skillsets in consultation, communication, presentations and data visualization and create insights that inform your organization's strategy.
• You are comfortable engaging directly to global business leaders to understand their objectives and how they can measure key results. You enjoy developing focused action plans after analyzing data in context.
• You prefer to manage multiple projects simultaneously. You are happy working with a kind, fun, energetic and close-knit, yet distributed team and you appreciate integrity in your colleagues and company.

Responsibilities:

• You will strive to reduce complexity and deliver simple, beautiful, automated data solutions.
• Gather requirements from stakeholders to understand what is being requested and what is ultimately needed to meet the business challenge and deliver outcomes aligned to Client's data transformation.
• Analyze and document existing, "as is? data / reporting flows using multiple techniques and methods and provide coaching to stakeholders to gain agreement on the "to be” options and outcomes.
• Develop reporting models and batch queries using data mining languages (SQL/PLSQL, R, Python, etc.) as part of your role in leading complex data analysis to develop, track, and maintain key metrics, ensuring alignment across team and stakeholders.
• Create wireframes and mockups based on requirements and present data strategy meetings where you will continue to inquire and coach for best results.
• Develop effective and attractive executive-level analytics dashboards that communicate and enable business insights and recommendations for the relevant data story.
• Troubleshoot production issues and resolve them quickly with little assistance.
• Celebrate success and recognize those who helped to make it possible.

Requirements:

• 4+ years of hands-on experience (this may include your college education) in data analytics in one or more of the following areas: Technical Support, Customer Service, Customer Success, Sales Operations, Product Management
• Expert level in data extraction, designing simple and beautiful dashboards / visualizations, and automation using Python, DBMS, SQL, Tableau, Power BI or similar
• Ability to work both independently and/or collaboratively while mining large, complex organizational and business data sets to find and fix issues, debug into anomalies and deliver useful insights
• Experience using Excel, Python, R and other mechanisms to cleanse and aggregate data
• Bonus points for knowledge of machine learning techniques, experience with R, etc.
• Bachelor's degree, preferably in Computer Science / MIS or higher degree in Data Science, Analytics, Statistics, Computer Science, Applied Math or similar

Job Types: Contract, Full-time

Pay: $54.00 - $54.84 per hour

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Vision insurance

Schedule:

• 8 hour shift
• Monday to Friday

Experience:

• SQL DBMS: 1 year (Preferred)
• dashboards / visualizations: 1 year (Preferred)
• Python and Visualizatio in Tableau and Power BI: 1 year (Preferred)

Work Location: Remote