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Jobgether

Data Analyst

Jobgether

Remote · 全职

抢先申请

经验
5年以上
薪水
职位空缺
1
发布
2小时前
工作模式
在家办公
学历
Bachelor's degree preferred in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics, or related field
恢复
需要申请

职位描述

Overview

This position represents a leading partner company based in Canada, seeking an experienced Data Analyst. The role offers a chance to influence business decisions by harnessing data, analytics, and automation. The successful candidate will collaborate with both technical teams and business stakeholders to create dashboards, refine reporting systems, and develop scalable data solutions that enhance operational performance. Utilizing business intelligence, AI, and cloud technology, the Analyst will turn raw data into meaningful insights impacting several organizational functions. The environment is fast-paced and encourages innovation and ongoing development.

Primary Duties

  • Design and maintain interactive dashboards and BI reports using current visualization tools.
  • Interpret data related to operations, sales, recruiting, and finance to identify trends and opportunities.
  • Create scalable reporting frameworks, data models, and KPIs aligned with growth strategies.
  • Ensure the accuracy and integrity of data across various platforms and business units.
  • Develop cloud-based automation workflows to streamline reporting processes and minimize manual tasks.
  • Use AI technologies to enhance reporting processes, automate workflows, and back data-driven projects.
  • Perform SQL tasks including data extraction, transformation, validation, and reporting.
  • Support API integrations among platforms and resolve connectivity issues.
  • Document technical workflows, reporting procedures, and analytic solutions for consistency and scalability.
  • Work collaboratively with leadership and cross-functional teams to improve reporting capabilities and operational outcomes.

Candidate Profile

  • A minimum of five years of experience in Data Analytics, Business Intelligence, or closely related domains.
  • Proficiency with SQL and Python for analytical tasks and automation purposes.
  • Expertise in advanced Microsoft Excel and Google Sheets functionalities.
  • Experience with business intelligence tools like Power BI, Tableau, or Looker to build dashboards.
  • Knowledge of cloud-based data workflows and REST API integrations.
  • Familiarity with AI tools such as ChatGPT or Claude for boosting productivity and reporting accuracy.
  • Understanding of automation principles, workflow streamlining, and business process enhancements.
  • Capability to support operations through meticulous data analysis and monitoring of performance metrics.
  • Bachelor’s degree preferred in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics, or related technical fields.
  • Strong analytical aptitude, precision, effective communication, and capability to operate independently in a dynamic setting.
  • Curious and adaptable with a continuous drive to learn emerging technologies.

Benefits

  • Competitive salary with weekly remuneration.
  • Flexible work-from-home arrangement based in India.
  • Full-time commitment ranging between 30 to 40 hours per week.
  • Opportunities for professional training, development, and skills enhancement.
  • Ongoing support and guidance throughout the tenure.
  • Exposure to cutting-edge analytics, AI, automation, and BI technologies.
  • Collaborative and encouraging professional environment.
  • Engagement with diverse data-driven projects across multiple organizational functions.

Additional Information

This job listing is managed by a partner organization that handles all applicant communications and selection procedures. The recruitment process is aided by AI to ensure fair, swift, and objective candidate evaluation; however, final hiring decisions rest with human recruiters. Candidates should be aware that personal data submitted during application processing is handled according to applicable data privacy laws, including GDPR, and participants have rights to access and control their data exposure.

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