Data Analyst (3+ Years Experience) | Cubical Operations LLP (Netrolynx AI) | India

About the Company: Driving Enterprise Value via Advanced Analytics

Cubical Operations LLP (operating in partnership with Netrolynx AI) is a dynamic data engineering and business intelligence consulting provider dedicated to delivering high-impact, data-driven solutions. The organization specializes in designing comprehensive analytics ecosystems, automated reporting models, and digital transformation architectures that empower modern enterprises to make confident, strategic decisions.

By pairing advanced mathematical frameworks with enterprise-grade data infrastructure, Cubical Operations LLP solves highly complex operational bottlenecks across multiple industries. The company maintains an inclusive, continuous-learning work culture focused heavily on engineering excellence, creative problem-solving, and deployment agility—ensuring clients scale efficiently in highly competitive markets.

About the Role: Data Analyst (Mid-Level Track)

Are you a seasoned analytics professional with a passion for transforming raw, multi-structured backend databases into clear corporate growth strategies? Netrolynx AI, in collaboration with Cubical Operations LLP, is seeking a meticulous, technically fluent Data Analyst to join our expanding division in India.

This position is tailored for professionals with 3+ years of experience who thrive in fast-paced, Agile software environments. Moving well beyond basic data entry, you will act as a core pipeline architect—writing highly optimized SQL queries, executing advanced Exploratory Data Analysis (EDA) scripts in Python, and building clean, self-serve dashboards via Power BI or Tableau. You will partner directly with cross-functional stakeholders to translate complex metrics into business-friendly narratives, automate manual reporting routines, and ensure total data validation across multiple cloud architectures.

Key Responsibilities & Machine Analytics Workflows

• Data Cleaning & Interpretation: Systematically extract, clean, and analyze high-volume datasets to identify market trends and generate actionable business intelligence.

• BI Dashboard Engineering: Design, implement, and maintain scalable interactive data visualization scorecards using Power BI or Tableau to track key corporate performance indicators (KPIs).

• SQL Performance Optimization: Author and fine-tune complex, highly optimized SQL validation scripts for efficient cross-platform data extraction and ETL processes.

• Exploratory Data Analysis (EDA): Utilize specialized Python modeling environments to uncover latent statistical patterns and generate predictive recommendations for leadership.

• Pipeline Automation: Build automated reporting workflows and cron-driven data scripts in Python to drastically minimize manual overhead and eliminate human error.

• Data Integrity & Quality Assurance: Enforce strict validation checks across disparate database systems to protect data accuracy, consistency, and structural compliance.

        ┌────────────────────────────────────────────────────────────┐
        │  Disparate Relational Databases & Enterprise Data Lakes    │
        └──────────────────────────────┬─────────────────────────────┘
                                       │
                    ┌──────────────────┴──────────────────┐
                    ▼                                     ▼
┌──────────────────────────────────────┐┌──────────────────────────────────────┐
│     Automated Scripting & EDA        ││    Advanced Visualizations & BI      │
├──────────────────────────────────────┤├──────────────────────────────────────┤
│ • Python (Pandas, NumPy, Matplotlib) ││ • Interactive Power BI / Tableau Labs│
│ • Optimized Structural SQL Queries   ││ • Strategic Business KPI Mapping     │
│ • Automated Report Routines & Alerts ││ • Cross-Functional Storytelling     │
└──────────────────────────────────────┘└──────────────────────────────────────┘
                                       │
                                       ▼
        ┌────────────────────────────────────────────────────────────┐
        │   Agile Strategic Decisions & Pristine Data Integrity      │
        └────────────────────────────────────────────────────────────┘

Candidate Prerequisites & Technical Matrix

We are looking for a collaborative, technically sound analyst who couples robust database manipulation skills with an iterative, Agile mindset.

Basic Required Qualifications:

• Educational Track: Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a closely related quantitative discipline.

• Professional Horizon: Minimum 3+ years of verified corporate experience in data analysis, business intelligence, or financial reporting.

• Python Programming Stack: Proven capability executing analytical data tasks using Pandas, NumPy, and Matplotlib libraries.

• Core Systems Expertise: Strong fluency writing relational database queries (SQL) alongside advanced data manipulation skills in Microsoft Excel.

• Data Visualization Studio: Practical background constructing production-grade tracking setups in Power BI or Tableau.

• Methodology Fluency: Sound understanding of data cleaning, data profiling, data transformation techniques, and foundational statistical research methods.

Preferred Additional Skills:

• Direct experience working within Agile development workflows and a solid conceptual understanding of the Software Development Life Cycle (SDLC).

Compensation & Employee Benefits

• Financial Rewards: Highly competitive base salary structures strictly aligned with modern tech industry benchmarks and performance-based corporate incentives.

• Health & Well-being: Comprehensive corporate medical insurance coverage paired with generous paid time off (PTO).

• Workplace Agility: Flexible working hours within a highly collaborative, inclusive environment that actively promotes diversity and technical innovation.

• Upskilling Pathways: Sponsored corporate professional development tracks, including specialized technical training programs and industry certifications.