Data Analytics & Engineering Jobs (0-2 Yrs): Multiple Roles via AccioJob

Apply for Data Analyst, Data Scientist, and Data Engineer roles via AccioJob in Pune, Noida, and Hyderabad (0-2 years of experience). Salary range up to ₹4-10 LPA.

About the Placement Partner: AccioJob

AccioJob is an elite, tech-focused training and corporate placement platform dedicated to bridging the industry skills gap for ambitious graduates and technology professionals. Operating an expansive talent network across India’s largest commercial hubs, AccioJob serves as a trusted talent pipeline provider for top-tier IT services companies, startups, and product enterprises.

By running specialised skill assessment centers and intense technical vetting processes, AccioJob ensures that partner corporations receive high-potential technical talent capable of driving modern software engineering, data warehousing, and business intelligence initiatives from day one.

About the Roles: Data Analyst / Data Scientist / Data Engineer

Are you eager to launch a career in the data domain? AccioJob is recruiting early-career professionals for full-time, permanent placements across three distinct specialisations: Data Analyst, Data Scientist, and Data Engineer. These roles are open across multiple prominent tech hubs, including Pune, Noida, and Hyderabad, with an attractive salary range of ₹4.0 to ₹10.0 LPA tailored entirely to your foundational experience and assessment performance.

These positions are designed for candidates with 0 to 2 years of experience, making this an entry-to-junior tier hiring track. Rather than working in isolation, you will step into fast-paced corporate environments, collaborating side-by-side with Product, Engineering, and Business Strategy groups to extract actionable insights from sprawling raw data streams and maintain stable, automated information pipelines.

Specialisation Breakdown & Core Responsibilities

While individual daily workflows vary based on your aligned domain track, all candidates will support core data operations:

• Data Analyst Track: Write optimised SQL queries to extract data, manage automated business dashboards, build clean visual reports using Power BI or Tableau, and translate complex metrics into clear, actionable business trends.

• Data Scientist Track: Clean, process, and normalise raw structured or unstructured datasets. Apply basic statistical modelling, execute data mining scripts, and design introductory machine learning (ML) workflows to predict operational outcomes.

• Data Engineer Track: Build, maintain, and optimise robust Extract-Transform-Load (ETL) data pipelines. Integrate distributed data arrays and ensure backend data warehousing consistency, security, and schema reliability.

Candidate Prerequisites & Required Skill Stack

Candidates are evaluated based on their computational logic, platform training, and data manipulation capabilities during an in-person assessment phase.

Required Baseline Skills:

• Professional Experience: 0 to 2 years within a professional data analytics, database support, software development, or analytics training background.

• Database Languages: Strong functional command of SQL (joins, window functions, and schema querying).

• Programming Frameworks: Practical familiarity with Python along with primary data manipulation and math packages (such as Pandas, NumPy, or Scikit-Learn).

• Version Control: Fundamental understanding of Git repositories and collaborative code branch management.

• Core Concepts: Solid footing in business statistics, analytical problem-solving, and clean interpersonal communication.

• Education: Open to Any Graduate (UG) or Any Postgraduate (PG) degree holder with strong technical alignment.

Preferred (Good-to-Have) Competencies:

• Hands-on experience creating dashboards with enterprise visualization tools like Power BI or Tableau.

• Familiarity with cloud infrastructures such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).

• Exposure to scalable big data computation ecosystems (e.g., Apache Spark or Hadoop frameworks).

• Prior experience working with REST APIs and processing live, real-time data streams.

Recruitment & Selection Process Flow

To maintain a high standard of engineering delivery, candidates must complete a structured two-stage interview process:

1. Round 1 (Technical Screening): An in-person technical and logical test administered at an authorized AccioJob Skill Centre.

2. Round 2 (Corporate Alignment): Comprehensive profiles and test score sheets of shortlisted candidates from Round 1 will be passed directly to specific corporate partner tech leads for final technical alignment rounds.