Data Analyst

initvalue is an engineering company that helps organisations modernise legacy systems, move to the cloud and build their own AI capabilities, and its Data Analyst role is where a graduate gets to work close to that data. Freshers are welcome to apply, and the team expects you to learn quickly on the job.

Why This Role Matters

Every modernization or migration project eventually comes down to one question: can the business trust its numbers?

Analysts at initvalue help answer that. You will check that data is consistent, spot quality problems early, and present findings in a form that both engineers and non-technical stakeholders can act on. For a fresher, this is a practical way to see how analytics supports real business decisions, beyond classroom datasets.

A Typical Day In This Role

Expect a mix of hands-on data work and conversations with the people who need the output. A normal day might start with pulling data through SQL, move on to cleaning and validating it in Excel, and end with updating a dashboard or writing up a short summary for a business team. You will also be asked to keep reports and datasets well documented, so that someone else can pick up your work without confusion.

flowchart LR
A[Collect Data] --> B[Clean and Validate]
B --> C[Analyze Trends]
C --> D[Build Dashboard]
D --> E[Present Insights]

Core Responsibilities At A Glance

The table below maps the main duties to what they look like in practice.

Beyond this, you will help improve recurring reports and dashboards over time, and keep picking up new analytics tools as the team adopts them.

Skills That Get You Shortlisted

The role asks for a basic to intermediate level of SQL, good working knowledge of Microsoft Excel, and familiarity with a visualization tool such as Power BI or Tableau. You should also understand databases and relational data concepts and have a working grasp of basic statistics. Experience: Fresher to 1 Year

Soft skills carry real weight here. The posting asks for strong analytical and problem-solving ability, clear written and verbal communication, and the ability to work both independently and with a team.

Work Mode And Locations

Hybrid Full-Time Entry Level

Openings are listed for Toronto and Vancouver in Canada, Bangalore in India, and Fremont, California in the USA. Since the Data team works with different business groups, expect regular collaboration and clear written updates.

Communication Expectations

An analysis only has value when the person reading it understands what to do next.

You will present findings to both technical and non-technical audiences. That means choosing the right chart, keeping explanations short, and being honest about limitations in the data. If you have presented a project in college or written a clear project report, mention it in your resume.

How To Prepare Before Applying

Start with SQL, since it is the skill most likely to be tested. Practise joins, aggregations, grouping and filtering on sample datasets until they feel routine. Then build one small dashboard in Power BI or Tableau using a public dataset, and be ready to explain every design choice you made. Revise mean, median, standard deviation and correlation, and think about how you would handle missing or duplicate data. Interviewers often ask how you would check whether a report is accurate before sharing it.

What Can Strengthen Your Resume

Recruiters reviewing fresher resumes look for evidence rather than claims. Include one or two academic or personal data projects with a clear problem statement, the tools used and the result. Mention your SQL and Excel usage specifically, add a link to a dashboard or portfolio if you have one, and keep the resume to a single clean page. Certifications in SQL, Power BI or Tableau can help, but a well-explained project usually counts for more.

Keywords For Resume

Data Analyst • SQL • Microsoft Excel • Power BI • Tableau • Data Visualization • Data Cleaning • Data Validation • Dashboards • Reporting • Statistics • Relational Databases • Business Intelligence • Problem Solving • Communication Skills

Final Thoughts

This role suits graduates who like working with data and want to learn how analytics supports engineering and AI work at a growing company. The requirements are realistic for a fresher, and the hybrid setup across several locations gives you flexibility. If your SQL, Excel and basic visualization skills are solid and you can explain your projects clearly, it is worth applying.