Website ADA Digital analytic

Senior Data Analyst – ADA Digital Analytics

Opportunity Overview

Attribute Details
Organization Ada Digital Analytics (ADA)
Position Title Senior Data Analyst
Experience Requirement 2 – 5 Years (Job Description highlights 2–4 years core experience)
Compensation Range ₹9.0 – 12.0 Lakhs Per Annum (LPA)
Primary Locations Bengaluru, Karnataka / Mumbai, Maharashtra, India
Department Data Science & Analytics
Employment Type Full-Time, Permanent
Target Sector IT Services, KPO, Digital Analytics & Consulting
Academic Target B.Tech / B.E. in any specialisation
Core Skill Stack SQL, Python, Power BI, Tableau, Data Modelling, Client Engagement

Digital Analytics & Client Engagement Workflow

The Senior Data Analyst at ADA leads end-to-end client analytics projects—from initial business requirements gathering to extracting insights from structured/unstructured datasets and delivering executive presentations:

┌───────────────────────────────────────────┐
│ 1. Requirements & Stakeholder Alignment   │ ➔ Collaborate with clients & internal teams to define analytical objectives
└─────────────────────┬─────────────────────┘
                      ▼
┌───────────────────────────────────────────┐
│ 2. Data Extraction & Pipeline Scripting   │ ➔ Execute complex SQL queries & Python scripts across structured & unstructured data
└─────────────────────┬─────────────────────┘
                      ▼
┌───────────────────────────────────────────┐
│ 3. Advanced Analysis & Visualization     │ ➔ Perform trend/pattern analysis and build Power BI / Tableau client dashboards
└─────────────────────┬─────────────────────┘
                      ▼
┌───────────────────────────────────────────┐
│ 4. Insight Delivery & Strategic Value     │ ➔ Translate technical insights into actionable recommendations for business growth
└───────────────────────────────────────────┘

Key Responsibilities

  • Complex Data Analysis: Extract, clean, and model large structured and unstructured datasets to identify patterns, business trends, and digital growth opportunities.

  • SQL Query Optimization: Write efficient, scalable SQL code for complex data extraction, transformation, and database joins across multi-market client systems.

  • BI Dashboard Architecture: Design, deploy, and maintain interactive client-facing dashboards using Power BI or Tableau.

  • Python Scripting & Automation: Utilize Python for advanced data manipulation, automated reporting tasks, and statistical analytics.

  • Stakeholder & Client Management: Translate “data speak” into strategic recommendations and present findings directly to external enterprise clients and leadership.

Qualification Matrix & Technical Skill Stack

Core Requirements

Category Specifications
Educational Background B.Tech / B.E. in Computer Science, IT, or related quantitative engineering streams.
Professional Experience 2 to 4+ years of hands-on data analytics experience, ideally in a consulting, digital, or KPO agency setting.
Database & Scripting Advanced SQL (optimizing queries, CTEs, joins) and Python (Pandas, NumPy, automation libraries).
Business Intelligence Expertise in Power BI or Tableau (data modeling, DAX/LOD expressions, interactive UI design).
Cloud & ML (Good to Have) Exposure to cloud platforms (AWS, Azure, or GCP) and foundational machine learning concepts.
Client Soft Skills Proven track record in stakeholder communication, client presentation, and ad-hoc problem-solving.

Key Focus Areas for Interview Preparation

  1. Client Analytics Case Studies: Prepare examples where you translated ambiguous business questions from clients into concrete analytical frameworks.

  2. Advanced SQL & Python Live Coding: Practice writing optimized SQL queries and Python data manipulation scripts handling messy, unnormalized datasets.

  3. Data Storytelling & Visualization: Be ready to showcase past Power BI or Tableau portfolio dashboards, explaining design choices, data modeling, and business impacts.

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