Data Analyst - Statistical Analysis and Visualization
Philippines
Overview
Drive innovation in cybersecurity, software development, and big data technology as part of our award-winning IT team. You can play a critical role as part of a global agile team for Bell Canada, Canada’s largest telco, media, and tech company.
We know our success is fueled by our people, so we empower our Qmunity and provide a workplace where you can flourish and grow. We offer premium benefits, including:
- Hybrid setup
- Miscellaneous allowances, performance-based bonus, and yearly increase
- HMO from day 1 for you + 2 free dependents
- 6 months paid maternity/15-days paternity leave
- Company-sponsored training and upskilling, and career growth opportunities!
Responsibilities
- Advanced Data Analysis: Conduct in-depth statistical analysis of large datasets to identify trends, patterns, and anomalies. Develop and apply statistical models to answer business questions and support decision-making.
- Data Visualization: Create clear, concise, and visually appealing dashboards and reports using data visualization tools to communicate complex data findings to both technical and non-technical audiences.
- SQL Querying: Develop, execute, and modify SQL queries to extract, transform, and load (ETL) data for analysis.
- Report Creation and Presentation: Develop and present compelling data reports and presentations, highlighting key findings and actionable insights.
- Trend Analysis: Identify and analyze data trends over time, providing insights into performance, growth, and potential risks.
- Collaboration and Communication: Effectively communicate data findings and insights to stakeholders at all levels, tailoring communication to the audience's understanding.
Qualifications
- 3 years of experience with Data Analysis
- 3 years of experience using Power BI and Tableu
- 3 years of experience using Excel, SQL for querying data and Microsites
- 3 years of experience analyzing Trend Analysis and reports creation
- 3 years of experience working with Dashboards
Educational Qualifications
- Bachelor’s degree in business, Marketing or Telecommunications or related field.
Work Conditions
- Hybrid Set-up
- Mid Shift (4PM-1AM PHT/4AM-1PM EST)
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Big Data Data analysis Data visualization ETL Excel Power BI SQL Statistics
Perks/benefits: Career development Parental leave
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