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Experienced Full Stack Data Analyst – Business Intelligence and Analytics

Remote · USA Full-time New today

Are you a detail-driven, analytical, and results-oriented professional with a passion for data-driven insights? Do you thrive in a fast-paced, dynamic environment where no two days are the same? If so, we invite you to join arenaflex as a Part-Time Remote Data Analyst, where you will play a critical role in supporting our paid media investigation capability to drive business growth and optimize our paid media spend.

About arenaflex

arenaflex is a multinational e-commerce organization based in Seattle, Washington, USA. Founded by Jeff Bezos in 1994, arenaflex has grown to become one of the world's largest online retailers and a leader in various industries, including cloud computing, virtual streaming, artificial intelligence, and more. arenaflex is known for its extensive range of employee benefits, which can vary depending on the location and job position. Some of the common benefits that arenaflex has provided to its employees in the past include:

  • Health insurance: arenaflex typically provides comprehensive medical insurance plans, including medical, dental, and vision insurance, for eligible employees and their families.
  • Retirement savings: The company has historically provided a 401(k) plan with a company match to help employees save for their retirement.
  • Stock options: arenaflex employees may have the opportunity to receive stock options or grants, allowing them to become partial owners of the company.
  • Paid time off: arenaflex employees usually receive paid vacation days, sick leave, and other types of paid time off.
  • Employee discounts: arenaflex employees have frequently enjoyed discounts on arenaflex services and products, which can be appealing to frequent online shoppers.
  • Training assistance: The company has provided training support packages to help employees pursue higher education or skill development.
  • Career advancement opportunities: arenaflex is known for promoting from within and offering various opportunities for professional growth within the organization.
  • Parental leave: arenaflex has provided parental leave benefits to support employees during critical family events, such as the birth or adoption of a child.
  • Wellbeing programs: The company may offer wellbeing programs and resources to support employees' wellbeing.
  • Flexible work options: arenaflex has provided some employees with flexible work arrangements, including remote work options.
  • Employee assistance program (EAP): arenaflex may offer an EAP to provide confidential counseling and support services for employees and their families.

Job Summary

As a Part-Time Remote Data Analyst at arenaflex, you will be responsible for supporting our paid media investigation capability to drive business growth and optimize our paid media spend. You will work with cross-functional teams to identify areas of improvement and develop data-driven insights to inform business decisions. Your analytical skills, attention to detail, and ability to communicate complex ideas simply will be essential in this role.

Key Responsibilities

* Convey data-driven insights and recommendations to stakeholders in the space of paid media

  • Plan and develop/lead the improvement of examination, BI, and data science projects determined to upgrade perceptible paid media and further developing advertising efficiencies
  • Work with paid media data science team and marketing teams on carrying out media blend models
  • Direct special projects through database querying, followed by smart understanding of results and the plan and communication of suggestions that drive action
  • Collaborate with marketing, finance, and product teams to handle business challenges, and track marketing and product performance with a data-driven approach
  • Influence Organized Query Language (SQL), MicroStrategy, Tableau, Power BI, and other data analysis tools to create and maintain planned and Ad-hoc reports
  • Examine data to identify business issues and lead in-depth dives to perform root cause analysis
  • Collaborate with partners to use data (internal data from Amazon and external data from market research and marketing organizations) and address complex business challenges by conveying significant insights
  • Conceptualize and run investigations that produce insights on customer behavior and customer needs to help further develop and improve our value proposition

Essential Capabilities

* Experience in the space of Business Intelligence, Data Analysis, or Consulting in an e-commerce climate or related field

  • High-level SQL experience
  • High-level involvement in at least one industry data analysis and measurement perception tool (e.g. Tableau/QuickSight/Power BI)
  • Master in Power BI with a demonstrated history
  • Degree in data science, business, finance, data engineering, statistics, mathematics, or other related field

Preferred Capabilities

* You enjoy working in a team of highly connected people

  • You have an interest in numbers, data, and metrics, but also in conveying significant analysis of high quality
  • Strong inclination for action, highly organized, and ability to complete tasks and projects with little direction and tight deadlines
  • Fantastic communication (verbal and written), interpersonal skills, and ability to communicate with both business leadership and technical teams effectively
  • Experience with enrollment, membership-based, or media content organizations
  • Experience with and/or interest to learn more on state-of-the-art data science approaches
  • Programming languages: knowledge of Python
  • Knowledge of other programming languages, such as Java or C#, or of statistical programming languages like R or SAS
  • Knowledge of Adobe Analytics

What We Offer

* Competitive hourly rate of $26/hour

  • Opportunity to work with a dynamic and innovative company
  • Flexible work arrangements, including remote work options
  • Comprehensive benefits package, including health insurance, retirement savings, and paid time off
  • Opportunities for career advancement and professional growth
  • Collaborative and supportive work environment
  • Access to cutting-edge technology and tools
  • Recognition and rewards for outstanding performance

How to Apply

If you are a motivated and analytical professional with a passion for data-driven insights, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience, skills, and qualifications for this role. We look forward to hearing from you! Apply Job! Apply for this job

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