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Open nowPosted 460 days ago

Manager - Data Analyst

SolarSquare Energy181 open roles

Where
Bengaluru
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Your applicationOpen nowManager - Data AnalystSolarSquare Energy · Bengaluru

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 460 days ago

The posting

About SolarSquare:

At SolarSquare we are building the Home-Energy brand of future India. We help homes switch to rooftop solar and move away from traditional coal electricity. We are a full-stack D2C residential solar brand - designing, installing, maintaining (after-sales) and financing solar systems for home-owners across India.

In 3 years we have scaled to become the leading residential solar brand in India. We are obsessed with quality, customer service and innovating to make it simple for homes to switch to solar. We are looking for leaders to join us in this mission.

Know us a bit better through these links:

Techcrunch SolarSquare article

Elevation - Podcast with SolarSquare Founders

Startup by IIT Grads Helps Indian Homes Run on Zero Electricity, Earns Rs 200 Crore in Revenues

The Climate Conversations ft Solar Square

Elevation Capital - SolarSquare

Role Overview

We are seeking a data-driven, detail-oriented, and business-savvy Manager – Data Analyst who will lead our analytics function and turn complex data into strategic insights that drive business decisions. This role will be pivotal in partnering with cross-functional teams, managing reporting frameworks, and building predictive models to solve real-world business problems.

If you are passionate about data storytelling, have a knack for leading teams, and thrive in a fast-paced environment, we’d love to connect with you!

Key Responsibilities

Business Intelligence & Reporting:

Develop, automate, and maintain dashboards and reports that track key performance indicators (KPIs) across departments.

Ensure data accuracy and consistency across reports and analytics systems.

Present actionable insights and recommendations to leadership and functional heads.

Data Modelling & Analysis:

Lead the development of data models, segmentation, and forecasting techniques to support decision-making.

Identify business trends, anomalies, and growth opportunities using large datasets.

Utilize statistical and machine learning techniques to build predictive models and enhance operational efficiency.

Stakeholder Management & Collaboration:

Partner with business leaders to understand key challenges and translate them into analytical solutions.

Serve as a bridge between technical teams (data engineering, IT) and non-technical stakeholders.

Lead data-driven projects that impact customer experience, sales, marketing, operations, or finance.

Team Leadership:

Manage and mentor a team of data analysts and junior data scientists.

Foster a high-performance culture through coaching, feedback, and upskilling opportunities.

Define analytics roadmap, prioritize requests, and allocate team bandwidth effectively.

Tools & Infrastructure:

Ensure best practices in data extraction, transformation, and loading (ETL).

Work with data engineers to optimize database structures and data pipelines.

Oversee adoption and governance of BI tools such as Power BI, Tableau, or Looker.

Key Requirements

Education:

Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, Economics, or related fields.

Experience:

6–10 years of experience in data analytics, business intelligence, or data science roles, including at least 2 years in a team leadership or managerial capacity.

Technical Skills:

Advanced SQL and Excel

Proficiency in BI tools (Power BI, Tableau etc.)

Experience with Python or R for statistical analysis or machine learning

Familiarity with databases (MySQL etc.)

Soft Skills:

Strong analytical and problem-solving mindset

Excellent verbal and written communication for presenting insights to non-technical audiences

Ability to manage multiple projects and stakeholder expectations in a deadline-driven environment

What We Offer

Competitive salary with annual performance bonuses

Ownership of high-impact analytics projects across the organization

A collaborative, tech-first environment with strong leadership visibility

Learning and development support for certifications, courses, and conferences

Flexible work culture and opportunities for cross-functional exposure

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