Experienced Full Stack Data Analyst – Web & Cloud Application Development

Join arenaflex, a leading multinational era and e-commerce organization, as we seek an experienced Full Stack Data Analyst to support our paid media investigation capability. As a key member of our team, you will play a crucial role in streamlining our paid media spend globally, working with showcasing groups to recognize ways of working on the efficiencies of our paid media spend, and fostering detailing and investigations to casing and drive choices.

About arenaflex

arenaflex is a multinational era and 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 outlets and a leading participant in diverse 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.

About the Role

As a Full Stack Data Analyst, you will be responsible for supporting our paid media investigation capability, working with showcasing groups to recognize ways of working on the efficiencies of our paid media spend, and fostering detailing and investigations to casing and drive choices. You will play a key role in making and imparting tailor-made detailing and examinations which will illuminate our paid media procedure.

Key Responsibilities

- Convey detailing and insights in the space of paid media - Plan and construct/lead the development of examination, BI, and data science expectations determined to upgrade perceptible paid media and further developing advertising efficiencies - Work with paid the media information science group and showcasing groups on carrying out media blend models - Direct specially appointed examination through information base questioning, trailed by smart understanding of results and the plan and correspondence of suggestions that drive activity - Fill in as a colleague with promoting, money and information item groups to handle business difficulties, and track showcasing and item execution with an information driven approach - Influence Organized Inquiry Language (SQL), MicroStrategy, Scene, Succeed and other detailing apparatuses to make and keep up with planned and Adhoc reports - Examine information to recognize business issues and lead profound plunges to perform main driver examination - Cooperate with partners to use information (inward information from Discernible and Amazon, as well as outside information from statistical surveying and promoting organizations) and address complex business challenges by conveying significant insights - Conceptualize and run investigation that produce insights on client conduct and client needs to help further create and further develop our incentive

Essential Capabilities

- Experience in the space of Business Knowledge, Examination or Counseling in an online business climate or related field - High level SQL experience - High level involvement in at least one industry examination and measurements perception apparatuses (for example Scene/QuickSight/PowerBI) - Master in Succeed with a demonstrated history - Degree in information science, business, financial matters, data innovation, measurements, arithmetic or other related field

Favored Capabilities

- You appreciate working in a group of profoundly connected with people - You have an energy for numbers, information and measurements, yet additionally for conveying significant examination of best caliber - Solid inclination for activity, exceptionally coordinated and capacity to finish jobs and tasks with little direction and tight cutoff times - Fantastic correspondence (verbal and composed), relational abilities, and a capacity to speak with both business initiative and specialized groups really - Experience with enrollment, membership based or media content organizations - Experience with and/or intrigue to learn more on state of the art information science draws near - Programming dialects: information on Python - Information on other programming dialects, similar to Java or C#, or of factual programming's like R or SAS - Information on Adobe Examination

Work Environment and Company Culture

arenaflex is a dynamic and innovative organization that values collaboration, creativity, and continuous learning. As a Full Stack Data Analyst, you will be part of a team that is passionate about using data to drive business decisions and improve customer experiences. You will have the opportunity to work with a diverse group of professionals, collaborate with cross-functional teams, and contribute to the development of new ideas and solutions.

Compensation, Perks, and Benefits

arenaflex offers a competitive salary, comprehensive medical insurance plans, a 401(k) plan with a company match, stock options or grants, paid vacation days, sick leave, and other benefits. You will also have access to training assistance, career advancement opportunities, parental leave benefits, and a range of employee discounts and perks.

Schedule

As a Full Stack Data Analyst, you will work a standard Monday to Friday schedule, with flexible hours on Saturday and Sunday. Your daily tasks will include: - Monday to Friday: - 9:00 AM - 9:15 AM: Check emails and messages for any urgent updates or instructions from the supervisor. - 9:15 AM - 10:00 AM: Review the day's tasks and prioritize them accordingly. - 10:00 AM - 12:00 PM: Data entry tasks: - Inputting product information into the database. - Updating inventory records. - Processing customer orders and returns. - 12:00 PM - 1:00 PM: Lunch break. - 1:00 PM - 3:00 PM: Continue with data entry tasks. - 3:00 PM - 3:15 PM: Short break for stretching or a quick walk. - 3:15 PM - 5:00 PM: Complete any pending tasks and prepare for the next day: - Double-check data entries for accuracy. - Organize files and documents. - Respond to any pending emails or inquiries. - 5:00 PM: End of the workday. - Saturday and Sunday: - Flexible hours: Depending on workload and personal availability, dedicate a few hours each day to catch up on any pending tasks or to get ahead for the upcoming week. This could vary based on workload and personal preferences.

How to Apply

If you are a motivated and detail-oriented individual with a passion for data analysis, we encourage you to apply for this exciting role. Please submit your resume and a cover letter outlining your experience and qualifications. We look forward to hearing from you! Apply for this job