AVA Technology Hiring Data Analyst | Freshers Apply Now

Short Intro

The Data Analyst role at AVA Technology offers a solid entry point for freshers and early-career professionals who want to build a long-term career in analytics while working remotely. As organizations across industries increasingly rely on data to guide decisions, demand for analytical talent continues to grow—especially for professionals who can convert raw data into meaningful business insights.

This role is suitable for graduates from any academic background who have an interest in data analysis, reporting, and problem-solving. AVA Technology’s remote-first approach makes it particularly appealing for candidates across India who prefer flexibility without compromising learning opportunities. For freshers, this position provides exposure to real datasets, reporting workflows, and stakeholder collaboration, helping bridge the gap between academic learning and practical industry expectations. Candidates who enjoy working with numbers, patterns, and structured thinking should strongly consider applying.

Job Highlights

Job Description

As a Data Analyst at AVA Technology, you will support business and operational teams by analyzing data, preparing reports, and identifying trends that influence decision-making. The role involves working with structured datasets from different sources and ensuring that information is accurate, consistent, and meaningful.

Rather than focusing only on technical tools, this position emphasizes understanding business questions and translating them into analytical outputs. You may assist teams with performance tracking, operational reporting, or customer-related analysis. For freshers, the role offers hands-on exposure to analytics workflows, data quality practices, and collaborative problem-solving—skills that are increasingly essential across domains such as technology, finance, sustainability, and operations.

Roles & Responsibilities

• Collect, clean, and organize data from multiple internal sources
• Prepare regular reports and dashboards for business teams
• Identify trends, patterns, and anomalies in datasets
• Support decision-making by presenting clear, data-backed insights
• Ensure data accuracy and consistency through validation checks
• Assist senior analysts with ad-hoc analysis and reporting tasks
• Document data definitions, assumptions, and reporting logic
• Collaborate with cross-functional teams to understand data needs

Skills Required

Technical / Tool-based Skills

• Proficiency in Microsoft Excel or Google Sheets and related tools for data analysis
• Basic knowledge of SQL for querying structured data
• Familiarity with data visualization tools such as Power BI or Tableau
• Understanding of data cleaning and formatting techniques
• Basic exposure to Python or R is an advantage, not mandatory

Analytical / Business Skills

• Strong logical and analytical thinking
• Ability to interpret data and explain insights in simple terms
• Attention to detail and accuracy
• Willingness to learn business context behind data
• Clear written and verbal communication skills

Eligibility Criteria

• Any graduate degree from a recognized institution
• 0–2 years of experience; freshers are eligible
• Basic understanding of data analysis concepts
• Comfort working remotely and collaborating online
• Interest in analytics, reporting, or business intelligence roles

Salary Details

The expected salary range for this role is ₹3 – ₹7 LPA, depending on skills, academic background, interview performance, and prior exposure to analytics tools. Actual compensation may vary based on role alignment and internal benchmarks.

Selection Process (Expanded)

Resume Shortlisting
Profiles are reviewed for analytical aptitude, educational background, and tool exposure.
Preparation tip: Highlight Excel, SQL, or reporting-related skills clearly.

Technical / Analytical Assessment
Candidates may be evaluated on basic data interpretation, Excel tasks, or logical reasoning.
Preparation tip: Practice simple datasets and common analytical questions.

Analyst Interview
Discussion around problem-solving approach, understanding of data, and scenario-based questions.
Preparation tip: Be ready to explain how you would approach a data problem step by step.

HR / Final Discussion
Covers work expectations, remote collaboration, and career goals.
Preparation tip: Clearly explain why you are interested in analytics and remote work.

What This Role Means in the 2025–2026 Job Market (In terms of career Growth)

Data Analyst roles continue to be among the most in-demand positions as organizations rely on data-driven strategies. Between 2025 and 2026, companies are expected to hire analysts not only for dashboards but also for insight generation across domains such as operations, sustainability, customer analytics, and finance.

Remote analytics roles are becoming more common, expanding opportunities for candidates outside major tech hubs. For freshers exploring analyst jobs for freshers or transitioning from non-technical backgrounds, roles like this provide a practical entry point into the analytics ecosystem.

Tips for Freshers

Why Data Analytics Is a Strong Career Choice
Analytics skills are transferable across industries. Once you understand how to work with data, you can move into domains such as business analysis, sustainability analytics, or operations intelligence.

What Companies Expect from Entry-Level Analysts
Employers value clarity of thought, accuracy, and the ability to explain insights. Advanced tools can be learned on the job, but fundamentals matter most.

How to Prepare Without Prior Experience
Practice with publicly available datasets. Build small projects in Excel or SQL and focus on storytelling with data. Understanding “why” behind numbers is more important than tool mastery.

Common Fresher Mistakes
Overloading resumes with tools without real understanding, ignoring data fundamentals, and failing to explain insights clearly are frequent issues. Focus on depth, not buzzwords.

Helpful Resources

Excel for Data Analysis
Source: Microsoft Learn
Covers formulas, pivot tables, and data cleaning essentials.
Usage tip: Practice summarizing datasets into insights.

SQL Basics
Source: Mode Analytics SQL Tutorial
Helps beginners understand querying and aggregation.
Usage tip: Practice simple business-style queries.

Power BI Learning Path
Source: Microsoft Learn
Introduces dashboard creation and reporting concepts.
Usage tip: Focus on clarity over complex visuals.

Python for Data Analysis
Source: pandas.pydata.org
Useful for candidates expanding beyond spreadsheets.
Usage tip: Start with small datasets and simple scripts.

Interview Insights

Interviewers usually assess how you think rather than how many tools you know. Expect questions on interpreting data, explaining trends, and handling incomplete information. You may also be asked how you would communicate insights to non-technical stakeholders.

Freshers should focus on structured answers, clarity, and honesty. If unsure, explain your approach logically rather than guessing.

How to Apply

Candidates should apply through the official AVA Technology careers portal. Always verify job details, eligibility, and application instructions directly on the company’s website.

• Open the Official AVA Technology careers portal.
• Scroll Down
• click on data analyst or software engineer’s Apply Button
• Fill the details.

About Company

AVA Technology is a growing technology-focused organization that works with data-driven solutions to support business decision-making. The company emphasizes analytical rigor, collaboration, and modern work practices, including remote-first roles. By working with real-world datasets and business use cases, AVA Technology provides early-career professionals with opportunities to build practical skills in analytics, reporting, and data interpretation. Its focus on flexibility and learning makes it an attractive option for freshers entering the analytics field.

Disclaimer

This article is published for informational purposes only. We are not a recruitment agency and do not charge any fees, nor promote or include any third parties. Candidates should verify all job-related details directly from official company sources and avoid paying anyone claiming to offer guaranteed job placements.