Junior Data Analyst

Parity Cube Pvt. Ltd. (PCPL) is a digital marketing and performance-based marketing company operating across affiliate marketing, cashback, rewards, and online deals through its brands – Cuelinks, LetsEarn, Zingoy, and DesiDime.

We leverage technology, data, and performance insights to drive business growth and deliver measurable results. We are looking for a detail-oriented and analytical Junior Data Analyst who is passionate about working with data, identifying trends, and transforming raw information into meaningful business insights.

Role Overview

As a Junior Data Analyst, you will be responsible for collecting, processing, analyzing, and interpreting business data to support informed decision-making across various business functions.

You will work closely with internal teams to develop reports, maintain dashboards, monitor business performance, identify data discrepancies, and support reporting automation initiatives.

The ideal candidate should have a strong foundation in Excel, SQL, and data visualization, along with a problem-solving mindset and eagerness to learn.

Key Responsibilities

Data Management & Analysis

Collect, clean, validate, and organize data from multiple internal and external sources.

Analyze large datasets to identify trends, patterns, anomalies, and business opportunities.

Perform data reconciliation and investigate discrepancies to ensure accuracy and consistency.

Interpret data and translate findings into meaningful business insights.

Reporting & Dashboard Management

Prepare and maintain daily, weekly, and monthly business performance reports.

Develop and maintain interactive dashboards using Power BI or Tableau.

Track and analyze key business metrics, including revenue, clicks, conversions, transactions, and campaign performance.

Ensure timely and accurate delivery of reports to relevant stakeholders.

Business Performance Analysis

Analyze affiliate marketing, publisher, advertiser, cashback, and e-commerce performance data.

Monitor KPIs and highlight significant performance changes, trends, and deviations.

Support business teams with data-driven insights to improve operational efficiency and performance.

Assist in identifying gaps and opportunities through regular data analysis.

Process Improvement & Collaboration

Work with cross-functional teams to understand business requirements and reporting needs.

Identify opportunities to automate repetitive reporting and data-processing tasks.

Maintain proper documentation of data sources, reports, dashboards, and analytical processes.

Support ad hoc data requests and analysis as required by the business.

Required Skills & Qualifications

Bachelor's degree in Statistics, Mathematics, Computer Science, Data Analytics, Economics, or a related field.

0–2 years of experience in Data Analytics, MIS, Business Analytics, or a similar role.

Strong proficiency in MS Excel or Google Sheets, including formulas, Pivot Tables, VLOOKUP/XLOOKUP, and data handling.

Basic to intermediate knowledge of SQL, including SELECT, WHERE, JOIN, GROUP BY, and aggregate functions.

Working knowledge of Power BI or Tableau for dashboard creation and data visualization.

Strong analytical, logical reasoning, and problem-solving abilities.

Good understanding of data validation, data cleaning, and reporting practices.

Ability to interpret data and communicate findings clearly.

High attention to detail and commitment to data accuracy.

Good to Have

Basic knowledge of Python (Pandas, NumPy) for data analysis.

Familiarity with Google Analytics or other web analytics platforms.

Understanding of digital marketing, affiliate marketing, or e-commerce metrics.

Exposure to handling large datasets and reporting automation.

Basic understanding of statistical concepts and data visualization techniques.

Key Competencies

Analytical and critical thinking.

Strong numerical and logical reasoning.

Attention to detail and accuracy.

Structured problem-solving approach.

Ownership and accountability.

Effective communication and collaboration.

Ability to manage multiple reporting requirements.

Curiosity and willingness to learn new tools and technologies.