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CG Data Analyst with KTB Marine- 16098495290

72% Flex
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor's degree in a quantitative field or equivalent experience., 2+ years experience in Power BI development., Fluent in English, strong analytical & problem-solving skills., Excel proficiency, basic understanding of marine industry..

Key responsabilities:

  • Design and build dynamic dashboards in Power BI.
  • Analyze marine industry data for insights.
  • Clean, prepare data from various sources.
  • Implement ETL processes for data extraction.
Somewhere logo
Somewhere
1001 - 5000 Employees

Job description

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Your missions

LOOKING FOR FILIPINO CITIZENS BASED IN THE PHILIPPINES

Position: Data Analyst/ Data Engineer

Salary Range: $800

Working Hours & Time Zone: 9 am-6 pm EST, Monday-Friday

Company Description

 

The client is a professional services business located in Toronto, Canada, providing marine consulting, shipbroking, and data analytics solutions for over 35 years. 

Their clients include Fortune 500 companies, oil and gas companies, private equity investment firms, government organizations and universities. 

Summary

Join as a Data Analyst/Data Engineer! We're looking for a data-driven professional with exceptional Power BI skills and strong database knowledge to join our team. You'll use your database knowledge, analytical expertise, and Power BI mastery to transform marine industry data into actionable insights and compelling visualizations. If you have a passion for data, we'd love to hear from you!

Key Responsibilities

  • Power BI Mastery: Design and build dynamic dashboards and reports in Power BI, clearly communicating key trends and insights to stakeholders.
  • Data Analysis: Dive into marine industry data to identify patterns, opportunities, and areas for improvement.
  • Data Preparation: Clean, structure, and prepare data from various sources for analysis (basic development skills a plus).
  • Database Knowledge: Strong understanding of database management systems (DBMS) and experience with both relational databases (e.g., MySQL) and NoSQL databases (e.g., MongoDB).
  • ETL (Extract, Transform, Load) Processes: Expertise in designing and implementing ETL processes to extract, transform, and load data from various sources into data warehouses or data lakes.
  • Data Modeling: Knowledge of data modeling techniques and proficiency in designing efficient and scalable data schemas.
  • Excel Skills: Building data trackers, reports, and analyses in Excel.
  • Product Solutions: Customize product solutions to increase customer satisfaction. Preparation of daily, weekly, monthly internal and client reports.
  • Marine Industry Knowledge: Understand key performance indicators (KPIs) and terminology within the marine sector.

Requirements

  • Required:
    • Bachelor's degree in a quantitative field (or equivalent experience).
    • 2+ years of proven experience in Power BI development.
    • Fluent in English (written and spoken).
    • Strong analytical and problem-solving abilities.
    • Proficiency in Microsoft Excel.
    • Basic understanding of the marine industry.
    • Excellent time management.
    • High level of meticulousness and attention to detail.
    • Strong organizational skills.
    • Abide by strict confidentiality and nondisclosure requirements of the company and company’s clients.
    • Communication Skills: Excellent written and verbal communication skills, and the ability to effectively convey complex information to different audiences.
    • Market Research: Strong research skills to identify new market opportunities, understand competitors, and gather customer insights.
    • Analytical Skills: Ability to analyze data and market trends, make recommendations, and implement strategies to increase revenue.
    • Ability to work independently and as part of a team, and manage multiple tasks and projects simultaneously.
    • Ability to work in a fast-paced and rapidly changing environment.
    • Dedication to fostering a positive, team-based environment and upholding company culture and values.

  • Preferred:
    • Full-stack development skills (e.g., experience with front-end technologies, databases, web frameworks).
    • Proficiency in programming languages commonly used in data engineering, such as Python and SQL.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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