Website Appinventiv

 

Data Analyst – Appinventiv

Opportunity Overview

Attribute Details
Organisation Appinventiv
Position Title Data Analyst
Location India (Noida / Hybrid / Remote depending on business unit)
Employment Type Full-Time
Experience Level 0–2 Years (Freshers & Entry-Level candidates eligible)
Core Skill Requirement Proficiency in SQL & Business Data Visualization

Technical Workflow & Analytical Focus

The role centres on solving business operational challenges through data extraction, exploratory analysis, and executive dashboarding:

[Business Problem Identification] ➔ [Data Extraction & Querying (SQL)] ➔ [Data Processing & Analysis] ➔ [Clear Data Visualization & Stakeholder Insights]

Key Responsibilities

  • Business Problem Translation: Identify day-to-day operational challenges across business teams that require quantitative analysis.

  • Data Extraction & Aggregation: Write efficient SQL queries to extract, clean, and consolidate large datasets from relational databases.

  • Exploratory & Ad-Hoc Analytics: Conduct both recurring reporting cycles and ad-hoc analytical investigations to support strategic decisions.

  • Data Visualisation & Reporting: Build clear, straightforward dashboards and visual reports to translate complex metrics into business insights.

Qualification Criteria & Skill Requirements

Baseline Qualifications

  • Education: Bachelor’s or Master’s degree in Statistics, Applied Mathematics, Computer Science, Economics, or equivalent quantitative fields.

  • Experience: 0 to 2 years of professional data analytics experience (relevant internships included).

Core Technical Competency Matrix

Skill Area Expected Capabilities
Database Querying (SQL) Strong proficiency in writing queries, multi-table joins, aggregations, subqueries, and data filtering.
Quantitative Analysis Foundation in applied statistics, trend detection, and descriptive analytics.
Data Visualisation Ability to build clean dashboards using tools like Power BI, Tableau, Looker Studio, or Excel.
Communication Strong data storytelling skills to present technical findings to non-technical business stakeholders.

Application & Assessment Preparation

  1. SQL Mastery Focus: Practice core SQL concepts including JOIN types, GROUP BY, HAVING filters, aggregate functions (SUM, AVG, COUNT), and window functions (ROW_NUMBER, RANK).

  2. Resume Customisation: Explicitly highlight quantitative projects, mathematical modelling, and SQL query optimisation from academic work or prior internships.

  3. Portfolio Preparation: Include sample visual dashboards or case studies demonstrating end-to-end data processing and business problem solving.

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