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Role at a glance
You will
As a Junior Data Analyst, you will be responsible for collecting, processing, analyzing, and interpreting business data to support informed…
You will work closely with internal teams to develop reports, maintain dashboards, monitor business performance, identify data…
The ideal candidate should have a strong foundation in Excel, SQL, and data visualization, along with a problem-solving mindset and…
Experience
0–2 years
Must-have skills
Data VisualizationGoogle SheetsMS ExcelPivot TablesPower BISQL
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Job description
Location: Kandivali East, India Compensation: INR 300000 - 400000 per year
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.
This guide is for Indian job seekers preparing for SQL rounds in data analyst, data engineer, backend developer and database roles, from freshers to experienced professionals. It has 60 questions in three levels: easy covers joins, grouping and NULLs; medium covers window functions, CTEs, indexes and isolation levels; hard covers locking, MVCC, query tuning and classic puzzles such as login streaks and medians. Answers use ANSI SQL, with MySQL 8 and PostgreSQL notes where the two differ. Write each query against your own sample tables first, then compare your result with the sample answer.
Questions you may be asked
What is the difference between WHERE and HAVING?
What is the difference between DELETE, TRUNCATE and DROP?
What is the difference between an INNER JOIN and a LEFT JOIN?
What is the difference between a primary key and a unique key?
