Hiring Data Analyst

Mechademy; Gurugram District, Delhi; Hybrid; INR 600,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work model

On-site in Gurugram (23 days)

Job summary

Mechademy, a startup building an enterprise AI platform for real-time monitoring and predictive maintenance, seeks a Data Analyst to work with raw sensor data from industrial datasets. You will explore signals, form hypotheses, and collaborate with engineers to inform asset decisions worth millions.

You will own root-cause investigations, performance studies, and reporting while also analyzing product usage to improve the Mechademy platform. Hybrid work in Gurugram offered.

Qualifications

• Structured problem-solving to break down large problems into solvable components.
• Defensible reasoning and clear walkthroughs for senior stakeholders.
• Daily use of Python (pandas, numpy, scipy) for analysis.
• Experience with time-series data indexed over time to spot trends.
• Ability to form testable explanations when anomalies occur.
• Comfort turning vague prompts into rigorous investigations.

Responsibilities

• Investigation & Root Cause: Pull and structure raw sensor data across time windows, formulate hypotheses, and trace anomalies to recommendations.
• Performance & Efficiency: Analyze relationships between operating variables, run before/after studies, and derive metrics to quantify degradation or improvement.
• Reporting & Communication: Create visualizations and structured analytical reports for leadership.
• Product Analytics: Analyze internal user interactions and platform usage metrics to improve the product.
• Knowledge & Reuse: Document patterns and build a knowledge base of equipment behavior and reusable frameworks.

Skills

Structured problem-solving

Defensible reasoning

Python proficiency

Time-series experience

Hypothesis-driven mindset

Comfort with ambiguity

Tools

Pandas

NumPy

SciPy

Job description

Hiring Data Analyst !

Company: Mechademy

Location: Gurugram

Work Mode: Hybrid

Experience: 1-3 years

About Mechademy

Mechademy builds an enterprise AI platform for real-time monitoring, diagnostics, and predictive maintenance of industrial equipment. We are a venture-funded, Series A startup experiencing 8090% YoY growth, with 15+ enterprise clients across oil & gas, power generation, and LNG.

The Opportunity We are looking for a sharp Data Analyst who thrives on open-ended problem-solving. Instead of answering pre-packaged questions or staring at standing dashboards, you will be handed raw data and complex industrial datasets (sensor streams across speed, pressure, temperature, flow, and vibration) to figure out what is actually happening. Your findings will directly inform engineers making decisions on assets worth hundreds of millions of dollars.

What You'll Own

• Investigation & Root Cause (40%): Pull and structure raw sensor data across time windows, formulate testable hypotheses, and work alongside domain engineers to trace anomalies from raw signals to defensible recommendations.
• Performance & Efficiency (25%): Analyze relationships between operating variables, build before/after intervention studies, and derive performance metrics to quantify asset degradation or improvement.
• Reporting & Communication (15%): Produce clear visualizations, structured analytical reports, and summaries that stand up to leadership scrutiny.
• Product Analytics (10%): Analyze internal user interactions and platform usage metrics to help improve the Mechademy product itself.
• Knowledge & Reuse (10%): Document analytical patterns and help build a shared knowledge base of equipment behavior and reusable frameworks.

Who You Are (Must-Haves)

• Structured Problem-Solving: Ability to break down vague, large-scale problems into solvable components and stitch them back into coherent answers.
• Defensible Reasoning: Your conclusions logically follow from your analysis, and you can clearly walk senior stakeholders through your work.
• Python Proficiency: Daily comfort with Python (pandas, numpy, and basic scipy for statistical checks) as a core analytical tool.
• Time-Series Experience: Comfort working with sequential data indexed over time, spotting trends, seasonality, and drift.
• Hypothesis-Driven Mindset: A natural reflex to form testable explanations when encountering anomalies rather than random searching.
• Comfort with Ambiguity: Ability to take a vague prompt and turn it into a rigorous, structured investigation.

Strong Signals

• Exposure to real equipment, IoT, SCADA, or industrial sensor streams.
• Curiosity about product and user behavior analytics.
• Engineering, science, or quantitative academic background.

What We Offer

• Direct access to irreplaceable operational sensor data from enterprise clients.
• Close collaboration with domain engineers and AI-powered investigation tooling.
• A fast learning curve, high impact, and clear growth path early in your career.
• Competitive compensation and hybrid flexibility (23 days on-site in Gurugram).