Data Analyst Jobs in Bengaluru at Time Hack Consulting | Apply Now

Are you a 2026 graduate looking to launch your career in data analytics and data science? Time Hack Consulting is inviting applications for the role of Data Analyst in Bengaluru, Karnataka. This opportunity is designed for highly analytical, detail-oriented, and motivated candidates who are passionate about transforming data into meaningful business insights.

As organisations increasingly rely on data-driven strategies, skilled Data Analysts are becoming critical to business success. This role offers fresh graduates an opportunity to work with large datasets, perform advanced analytics, and contribute to real-world business decisions across multiple functions. Candidates will gain practical exposure to SQL, Python, statistics, machine learning fundamentals, and business intelligence processes while working on impactful projects.

About the Data Analyst Role

Time Hack Consulting is seeking talented individuals from the 2026 graduating batch who possess strong analytical abilities and a solid understanding of quantitative concepts. The selected candidates will work closely with cross-functional teams to analyse data, identify trends, and support strategic decision-making through actionable insights.

The position provides hands-on experience in data analytics, customer behaviour analysis, marketing performance measurement, and predictive modelling support. Candidates will also have the opportunity to participate in data science initiatives and contribute to model development workflows.

This is a full-time, on-site opportunity based in Bengaluru, one of India’s leading technology and analytics hubs.

Key Responsibilities

As a Data Analyst at Time Hack Consulting, your responsibilities will include:

• Extracting, cleaning, and processing large datasets using SQL and Python.
• Performing statistical analysis to identify trends, correlations, patterns, and anomalies.
• Supporting business teams with data-driven recommendations and actionable insights.
• Conducting marketing analytics, including campaign performance analysis, user acquisition tracking, and conversion funnel evaluation.
• Assisting with collections analytics projects focused on customer behaviour trends, segmentation, and recovery performance.
• Supporting the development and evaluation of analytical and data science models.
• Performing feature engineering and data preprocessing tasks for machine learning projects.
• Translating business requirements into structured analytical solutions.
• Preparing reports, dashboards, and presentations to communicate findings effectively.
• Maintaining documentation related to datasets, analytical models, workflows, and processes.

Eligibility Criteria

Candidates applying for this role should be graduating in 2026 with a degree in one of the following disciplines:

• Data Science
• Statistics
• Mathematics
• Economics
• Computer Science
• Information Technology
• Engineering
• Other related quantitative fields

Applicants should demonstrate strong analytical thinking, problem-solving skills, and the ability to work with complex datasets.

Required Technical Skills

SQL Skills

Candidates should have a strong understanding of:

• SQL joins
• Aggregations
• Window functions
• Data filtering and transformation
• Query optimization basics

Python Skills

Applicants should be comfortable working with:

• Pandas
• NumPy
• Data cleaning techniques
• Exploratory data analysis

Statistics and Data Science Knowledge

A solid foundation in the following areas is expected:

• Probability and statistics
• Hypothesis testing
• Regression concepts
• Classification techniques
• Clustering fundamentals
• Data interpretation and visualization

Strong communication skills are also important, as Data Analysts are often required to explain insights and recommendations to business stakeholders.

Preferred Qualifications

Although fresh graduates are encouraged to apply, candidates with the following qualifications may have an advantage:

• Internship experience in data analytics, business analytics, or data science.
• Experience working on real-world datasets and business case studies.
• Participation in analytics competitions, hackathons, or research projects.
• Exposure to machine learning workflows and predictive modelling.
• Graduation from reputed institutions such as IITs, NITs, or leading Tier-1 and Tier-2 colleges.

Salary and Compensation

The salary range for this position is approximately ₹50,000 to ₹12,00,000 per year, depending on educational qualifications, technical expertise, internship experience, and overall performance during the recruitment process.

In addition to competitive compensation, candidates will gain valuable industry exposure and opportunities to build a strong foundation in analytics and data science.

Why Join Time Hack Consulting?

Time Hack Consulting offers an excellent environment for aspiring data professionals to develop technical expertise and business acumen. Employees get the opportunity to work on challenging analytical projects that directly influence business outcomes and strategic decisions.

The company encourages continuous learning, innovation, and professional development while providing exposure to modern analytics tools and methodologies. This makes it an ideal workplace for graduates seeking long-term growth in data analytics, business intelligence, and data science.

How to Apply

Interested candidates from the 2026 graduating batch should prepare an updated resume highlighting academic achievements, technical skills, projects, internships, certifications, and relevant analytical experience.

If you are passionate about working with data, solving business problems, and building a successful analytics career, this Data Analyst opportunity at Time Hack Consulting in Bengaluru could be the perfect starting point. Apply now and take the first step toward a rewarding career in data analytics and data science.