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Data Analyst - Dialog Axiata


 

Company Overview 

Dialog Axiata PLC is Sri Lanka’s leading telecommunications service provider and a subsidiary of Axiata Group Berhad, Malaysia. Established in 1993, Dialog offers a wide range of services, including mobile, broadband, fixedline, and digital television solutions. It operates the country’s largest mobile network, providing 2G, 3G, 4G, and 5G ready services. Dialog is known for its innovation in digital services, IoT, and cloud solutions, catering to both individual and enterprise customers. The company has consistently been recognized for its network excellence, customer service, and corporate social responsibility initiatives.



Reviews of The Company 

Dialog Axiata is generally regarded as a positive workplace by its employees. On Glassdoor, the company holds an overall rating of 4.1 out of 5, based on over 637 reviews, with 89% of employees recommending it to a friend and 81% expressing a positive outlook for the business. Similarly, Comparably reports that out of 29 employee reviews, 88% were positive, highlighting a supportive leadership team and a comfortable working environment.

Source  1 site | 2 site 



Job Description 

The role involves synthesizing research findings into business-friendly insights, diagnosing and resolving operational and interpersonal issues, and recommending resource requirements while collaborating with stakeholders. It includes tracking business metrics, implementing system enhancements, and monitoring decision systems and statistical models. The position requires managing operational reports through Tableau/Safe Harbor, contributing to the Analytics at the EDGE project, and leveraging organizational data for business opportunities. Responsibilities extend to data collection, cleaning, and preparation for analytical tasks, defining project scope and strategy, and working with cross-functional teams to develop and test use cases. Additionally, the role encompasses large-scale data processing, guiding commercial growth, executing and evaluating campaigns, and conducting both quantitative and qualitative analyses to drive business success.



Benefits of this Job 

      • Bonuses & Incentives – Performance-based bonuses, annual increments, and profit sharing in some companies.  
      • Health & Insurance Coverage – Medical insurance, hospitalization coverage, and wellness programs.  
      • Work from Home & Hybrid Options – Many companies offer remote or hybrid work arrangements.  
      • Career Growth & Training – Opportunities for skill development, certifications, and promotions.  
      • Flexible Working Hours – Some organizations provide flexible schedules for work-life balance.  
      • Retirement & EPF/ETF Contributions – Mandatory contributions to Employees’ Provident Fund (EPF) and Employees’ Trust Fund (ETF).  
      • Paid Leave – Annual, sick, and maternity/paternity leave benefits.  
      • Tech & Equipment Support – Laptops, software tools, and internet allowances for remote work.  

Not mentioned in the job advertisement, this is only industry standards for your reference only 



Qualifications

      • Should possess a degree in IT/ Computer Science/ AI /Data Science/statistics, software engineering or economics and business
      • Need to score 70% above from entry level exam
      • Passionate about creating value through scientific methods and data analysis
      • Tolerance for ambiguity and openness to feedback from design, strategy, and other disciplines
      • 2 years related exp. in Analytics



Salary

In Sri Lanka, Data Analyst salaries vary based on experience, skills, and location. As of 2025, the average monthly salary is approximately LKR 100,000, with a total compensation of around LKR 112,500 per month.

Source -  1 site 

Not mentioned in the job advertisement, this is only industry standards for your reference only 



How to Apply 

      • click the below link
      • you will be redirected to the dialog career page where you can apply for the relevant job 




Tips for Creating a Better CV  

      • Keep It Concise & WellStructured  
          • Limit your CV to one or two pages (unless applying for academic roles).  
          • Use clear headings, bullet points, and a professional font (e.g., Arial, Calibri, or Times New Roman).  
      • Tailor Your CV for Each Job  
          • Customize your skills, experience, and summary to match the job description.  
          • Use keywords from the job posting to pass applicant tracking systems (ATS).  
      • Start with a Strong Personal Summary  
          • Write a short 2 to 3 sentence profile at the top, summarizing your skills, experience, and career goals.  
      • Highlight Your Key Skills  
          • List technical and soft skills relevant to the job.  
          • Example: Data Analysis, SQL, Python, Tableau, problem-solving, Communication, Teamwork.  
      • Showcase Your Work Experience  
          • List your jobs in reverse chronological order (most recent first).  
          • Use bullet points to describe responsibilities and achievements.  
          • Quantify results where possible (e.g., Increased efficiency by 20% through automation).  
      • Emphasize Education & Certifications 
          • Include degree(s), university name, and year of completion.  
          • List relevant certifications (e.g., Google Data Analytics Certificate, AWS Certified Data Analyst).  
      • Add Projects & Achievements  
          • Mention significant projects, reports, or research work related to your field. 
          • Showcase measurable achievements (e.g., Developed a dashboard that improved sales tracking by 30%).  
          • Include Professional & LinkedIn Links  
      • Provide a LinkedIn profile, portfolio, or GitHub link (if relevant).  
      • Check for grammar, spelling, and formatting mistakes.  
      • Use tools like Grammarly or ask someone to review your CV.  
      • Use a Professional Format 
      • Save and send as a PDF to ensure formatting remains intact.  

Organization Dialog Axiata
Closing Date 03/31/2025
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Source Dialog Career Portal

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