Aumni Techworks is hiring for a fresher entry level Junior Data Analyst role in India

Position:

• Jr. Data Analyst

Company:

• Aumni Techworks

Location:

• Pune, Maharashtra, India

Job type:

• Full-time

Job mode:

• Hybrid

Job requisition id:

• Not mentioned

Years of experience:

• 0-3 years

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Company Description

• Aumni Techworks is a software services company established in 2016.

• The firm partners with international product companies to build and maintain dedicated engineering teams in India.

• It does not operate on a typical project-based model; instead, it focuses on long-term client relationships.

• These are usually open-ended contracts where developers work closely with product teams, almost like an internal division.

• Aumni's clients tend to stay for multiple years, and there’s no concept of “bench” – you’re consistently placed with one product team.

• This structure allows employees to grow deeply within a product environment while having the job stability of a service-based company.

• The leadership at Aumni strongly believes in the global competitiveness of Indian talent, equating their skills with professionals from cities like New York, London, and Berlin.

• With a workforce exceeding 300 people, the company continues to expand steadily.

• Aumni fosters a quality-first culture that values long-term growth, stable work environments, and consistent skill development.

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Profile Overview

• This Jr. Data Analyst position is targeted at recent graduates or individuals with completed training in Data Analytics or similar disciplines.

• Ideal for freshers who have some hands-on experience through internships or academic projects.

• You'll join a cross-functional team working with real product data and contribute to ongoing analytical projects that shape business decisions.

• You'll deal with datasets from varied sources and be responsible for cleaning, transforming, and analyzing them to uncover meaningful insights.

• The role focuses heavily on report creation, trend analysis, and dashboard building for both internal and client-facing teams.

• Candidates will be expected to write SQL queries and Python scripts to manipulate data and automate workflows.

• Working with Excel will be frequent - formulas, pivot tables, and advanced reporting will be part of day-to-day responsibilities.

• While knowledge of data visualization tools like Tableau or Power BI is a plus, the role focuses more on foundational data tasks.

• The analyst will also contribute to data quality initiatives and be part of cross-department collaborations.

• Strong communication and team-working capabilities are key, especially when presenting analytical findings to non-technical stakeholders.

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Responsibilities

• Gather data from multiple sources while ensuring data consistency and integrity.

• Clean, sort, and validate raw datasets to make them analysis-ready.

• Explore datasets to identify business-relevant patterns and actionable insights.

• Develop interactive dashboards and regular reporting assets for stakeholders.

• Use SQL extensively to extract meaningful subsets of data from relational databases.

• Create Excel-based models and visualizations to support data storytelling.

• Automate routine data preparation tasks using Python scripting.

• Participate in cross-functional discussions to refine data requirements.

• Ensure delivery of insights aligned with business and team needs.

• Contribute ideas to enhance data accuracy and enforce internal best practices.

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Qualifications

• A completed certification or diploma in Data Analytics, Statistics, Computer Science, or Business Analytics is mandatory.

• Must possess solid foundational knowledge in Python - primarily for data cleaning, exploration, and task automation.

• SQL proficiency is essential - candidate should be comfortable writing queries to handle joins, filters, aggregations, and basic optimization.

• Advanced Excel skills required - should be able to work with pivot tables, formulas like VLOOKUP/XLOOKUP, and conditional formatting.

• Exposure to visualization tools such as Tableau or Power BI is advantageous but not mandatory.

• Problem-solving mindset is crucial, especially when working with ambiguous or messy data.

• Candidates must be detail-focused and capable of identifying data inconsistencies or anomalies.

• Clear and concise communication of data findings to non-technical stakeholders is a must.

• Ability to collaborate and thrive in a team-oriented culture.

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Additional Info

• Internship or prior project work in a data-related domain is highly desirable.

• Candidates with exposure to basic statistical concepts (like correlation, central tendency, distributions) are preferred.

• Familiarity with processes like data cleaning, data wrangling, or ETL pipelines is a plus.

• The work environment includes fitness and wellness initiatives like an on-site gym and weekly group activities.

• Employees enjoy 24 annual leaves in addition to 10 public holidays and various other types of leave (hospitalization, maternity, paternity, bereavement).

• Comprehensive insurance coverage is provided, including medical, life, and disability insurance for employees and parents.

• Social activities like Friday events, treks, and parties make the workplace engaging and collaborative.

• No “bench” policy ensures active project involvement from Day 1.

• The hybrid work setup offers flexibility and work-life balance.

• The company is expanding steadily, offering ample opportunities for long-term growth.

Please click here to apply.

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