Thank you for considering our opportunity. We are currently seeking a proactive and detail-oriented Data Analyst to join our team. This role is pivotal in optimising operational efficiency by leveraging data-driven insights. Please read through the details carefully before applying.
Core Responsibilities:
-Data Management & Analysis: Spearhead the use, analysis, and management of data to drive strategic company decisions. This includes the development and maintenance of analytical dashboards primarily on Looker Studio and .
-Dashboard Documentation & KPI Tracking: Develop and maintain comprehensive documentation for all operational dashboards, detailing their purpose, the KPIs they track, and the data sources utilised.
-Data Operations Management: Oversee backend operations related to data handling, including data entry, manipulation, transfer, verification, and organisation.
-Process Optimization: Document and refine data analytics processes, ensuring efficient data collection, cleaning, analysis, and reporting cycles. Oversee the automation of reporting and troubleshooting.
-Create a detailed directory of KPIs, manage user access and permissions, and ensure all data analytics processes are streamlined and documented.
Key Qualities:
-Analytical Proficiency: Strong experience in developing and managing dashboards using BI tools like Looker Studio, with an adept understanding of data analysis techniques.
-Attention to Detail: Meticulous with data, ensuring accuracy and integrity in all processes.
-Collaboration Skills: Ability to work effectively with cross-functional teams to integrate and leverage data.
-Problem Solving: Proactive in identifying and resolving data-related issues, contributing to continuous operational improvements.
Required Experience:
-Proven experience with BI tools, particularly Looker Studio.
-Advanced proficiency in spreadsheet tools such as Microsoft Excel or Google Sheets.
-Strong experience with , including board editing, formula creation, and data structuring.
-Basic knowledge of SQL syntax and experience developing queries in BigQuery.
-Experience integrating BigQuery with Looker for data visualization.
-Prior experience troubleshooting data discrepancies and ensuring data integrity.
Shift Hours and Compensation:
Initially, this position entails 40 hours per week of training at $3.50 per hour, with working hours set from 09:00 AM to 17:00 PM Rome, Italy time (15:00 PM to 23:00 PM PHT).
During the probationary period, lasting 2-4 weeks and contingent upon progress and the manager’s discretion, the role may transition into full-time with compensation set at $4 per hour for 5 days a week.
Technical Requirements
Fast PC/Mac with 8GB RAM minimum
If you have a desktop, a backup laptop in case of a power outage
A dual screen is a must
Stable internet connection of at least 50 mbps
To apply, please send your resume link and a cover letter outlining your relevant experience and why you are the ideal candidate for this position. Ensure to attach a Google Drive link to the screenshot of your internet speed test (/), and another one of your computer specs.
We are looking to fill this role as soon as possible to support our ongoing business development efforts.
Note: Only shortlisted candidates will be contacted for further evaluation. If you are passionate about using data to drive business success and enjoy working in a dynamic environment, we would love to hear from you!
APPLY FOR THIS JOB:
Company: DB GURUS
Name: Russ
Email: