Lowongan Kerja Remote dari Rumah Data Analyst (Full Time) (Influx Inc) (Full Remote) (Buka Lagi)

Influx Inc

Lowongan Kerja Remote dari Rumah Data Analyst (Full Time) (Influx Inc) (Full Remote) (Buka Lagi)

Data Analyst (Full Time)

Status: Buka Lagi (Anda bisa cek di Linkedin mereka sejak 31 Maret 2022)
Company: Internasional
Basic Salary: Not explained
Publish on Niobis: (23 Maret 2022) Buka Lagi 02 April 2022
Deadline: Not explained
Office Address: 36-38 Gipps St, Collingwood
VIC 3066, Australia
Job Status: Successfully verified (For Proof, You can check on their Linkedin account)
Job Type: Full Time
Job LocationsFull Remote

Company/Agency Status: Good
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About Company:
Influx is the global leader in ‘Support as a Service,’ elastic, pay-as-you-go support teams. Companies like Blenders Eyewear, ClassPass, Biteable and Sendle work with Influx to make their support teams fast, flexible and scalable.

About Job:
This role reports directly to the Head of Customer Experience (CX).
About you
We are looking for a data analyst with a consultant mindset who can think big picture while rolling up your sleeves. As the Data Analyst, you will be responsible to inform the analysis behind our customer experience strategy.
You will partner with functional leaders and executives across the business to actively drive insights and analysis to support decision making, optimize the client experience and influence our strategy.
Key Responsibilities:
• Mine and interrogate thousands of data points to generate actionable insights
• Analyze customer behaviors and interactions to develop analysis and dashboards that support evidence-based decision making
The ideal person:
If you don’t think you meet all of the criteria below but are still interested in the job, please apply regardless. Nobody checks every box, and we’re looking for someone excited to join the team.
• Minimum 2 years of working experience related to data or business analytics
• Excellent written and verbal English
• Strong data visualization, storytelling, and presentation skills
• Proficiency in Excel
• Experience using Phyton, SQL, and other supporting statistical programming languages
• A self-driven attitude with a strong sense of ownership
• Bachelor’s Degree graduates or higher from quantitative subjects (computer science, mathematics, engineering, statistics, or science) are preferred.
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