TELUS Digital Hiring Data Analyst | Freshers Apply Now

Short Intro
The Data Analyst role at TELUS Digital is a strong entry-level opportunity for freshers who want to build a career in analytics while working in a fully remote environment. As organizations increasingly rely on data to improve customer experience, operational efficiency, and digital services, data analysts have become central to everyday business decision-making. TELUS Digital operates at the intersection of technology, digital transformation, and customer experience, making this role especially relevant for candidates who want exposure to real-world data use cases rather than purely academic analysis.
This position is well-suited for graduates who enjoy working with data, spotting patterns, and translating numbers into meaningful insights. Freshers who are comfortable with structured thinking, basic data tools, and continuous learning will find this role a solid foundation for long-term growth in analytics, business intelligence, and data-driven decision-making roles.
Job Highlights
| Company | TELUS Digital |
| Role | Data Analyst |
| Salary | ₹2 – ₹5 LPA (Estimated) |
| Location | Remote (India) |
| Job Type | Full Time, Permanent |
| Experience | Freshers |
| Qualification | Any Graduate |
Job Description
As a Data Analyst at TELUS Digital, your primary responsibility will be to support teams by analyzing data related to digital services, customer experience, and operational processes. The role focuses on transforming raw data into structured insights that help teams make better decisions. You will work with datasets generated from digital platforms, internal systems, or client-facing processes and help ensure that data is accurate, meaningful, and actionable.
Unlike purely technical data roles, this position emphasizes business understanding and clarity of insights. You may be involved in reporting trends, identifying anomalies, and supporting improvements across digital workflows. For freshers, this role provides exposure to how analytics is used in large-scale digital operations and customer-centric environments.
Roles & Responsibilities
- Collect, clean, and organize data from internal systems and digital platforms
- Prepare regular reports and dashboards to track performance metrics
- Identify trends, patterns, and inconsistencies in datasets
- Support teams by translating data findings into clear business insights
- Ensure data accuracy and consistency across reports
- Assist in ad-hoc analysis for operational or client-related requirements
- Document analysis outcomes and maintain reporting standards
- Collaborate with cross-functional teams to understand data needs
Skills Required
Technical / Tool-based Skills
- Proficiency in Microsoft Excel or Google Sheets
- Basic understanding of SQL or data querying concepts
- Familiarity with dashboards or reporting tools is an advantage
- Ability to handle structured datasets and perform basic data validation
Analytical / Business Skills
- Strong logical thinking and problem-solving ability
- Attention to detail and data accuracy
- Ability to interpret numbers and explain insights clearly
- Good written and verbal communication skills
- Willingness to learn domain-specific business processes
Eligibility Criteria
- Any graduate degree from a recognized institution
- Freshers are eligible to apply
- Basic exposure to data handling or analytics concepts
- Comfort working in a remote, digital-first environment
Salary Details
The expected salary for this role ranges between ₹2 – ₹5 LPA, depending on skills, educational background, assessment performance, and role alignment. Actual compensation may vary based on internal benchmarks and candidate capability.
Selection Process (Expanded)
Application Screening
Resumes are shortlisted based on educational background, analytical aptitude, and basic data skills.
Preparation tip: Highlight coursework, certifications, internships, or projects involving data or analysis.
Analytical Assessment
Candidates may be evaluated on basic data interpretation, Excel tasks, or logical reasoning.
Preparation tip: Practice working with datasets and summarizing insights clearly.
Technical / Functional Interview
Discussion around understanding of data concepts, reporting approaches, and problem-solving mindset.
Preparation tip: Be ready to explain how you would approach analyzing a dataset.
HR Discussion
Focuses on communication skills, work-from-home readiness, and career goals.
Preparation tip: Show clarity on why you are interested in analytics and remote work.
What This Role Means in the 2025–2026 Job Market
By 2025–2026, data analyst roles are expected to remain among the most stable and in-demand entry-level positions. Companies across industries are investing heavily in analytics to improve customer experience, automate decisions, and optimize digital operations. Remote data analyst roles, in particular, have expanded as organizations embrace distributed work models.
For freshers, this role provides early exposure to analytics in a global digital services environment. It aligns well with broader trends seen in analyst jobs for freshers, sustainability-focused analytics roles, and customer experience analytics. The skills gained here—data interpretation, reporting, and stakeholder communication—are transferable across industries and future career paths.
Tips for Freshers
Why Data Analytics Is a Strong Career Choice
Data analytics offers versatility. Analysts are needed in technology, retail, finance, sustainability, and consulting. This makes the role resilient even during market shifts.
Skills Companies Expect at Entry Level
Employers prioritize clarity of thinking over advanced tools. Basic Excel, logical reasoning, and communication matter more than complex programming for freshers.
How to Prepare Without Experience
Work on small projects using public datasets. Practice explaining insights in simple language. Focus on understanding what the data means, not just how to calculate results.
Common Fresher Mistakes to Avoid
Overloading resumes with buzzwords, neglecting fundamentals, and failing to explain analysis clearly during interviews are common pitfalls.
Helpful Resources
Excel for Data Analysis
Source: Microsoft Learn
Covers essential reporting and analysis techniques.
Usage tip: Practice creating summary reports for business users.
SQL Basics for Analysts
Source: Mode Analytics
Introduces querying for real-world analytics use cases.
Usage tip: Focus on queries that answer business questions.
Data Visualization Fundamentals
Source: Tableau Public
Explains how visuals communicate insights.
Usage tip: Practice simplifying charts for non-technical audiences.
Analytical Thinking Frameworks
Source: Harvard Business Review
Explores structured problem-solving.
Usage tip: Apply frameworks when answering interview case questions.
Interview Insights
Interviewers typically assess how you think rather than how many tools you know. Expect questions on data interpretation, basic logic, and real-life scenarios. Freshers should structure answers clearly, explain assumptions, and demonstrate curiosity. Interview preparation for business analyst and data roles often overlaps, so focusing on structured communication is essential.
How to Apply
Candidates should apply through the official TELUS Digital careers portal. Always verify role details, eligibility, and application steps directly from official company sources before applying.
About Company

TELUS Digital is a global digital customer experience and technology services organization that helps brands transform how they connect with customers. The company operates across digital strategy, analytics, AI-enabled solutions, and customer experience management. TELUS Digital is known for combining technology with a people-first approach, enabling businesses to deliver meaningful digital interactions at scale. With a strong focus on innovation, data-driven decision-making, and flexible work models, the company provides professionals with opportunities to work on global projects while building future-ready digital skills.
Disclaimer
This article is shared strictly for informational purposes. We are not a recruiter and do not charge any fees, nor promote any third parties to do so. Candidates are advised to verify all job details from official TELUS Digital sources and should not pay anyone claiming to offer job placements or guaranteed selection.