This is a remote position.

Company Mission:

Leegality is India’s first Document Infrastructure Platform - a radical new digital way for businesses to complete paperwork (agreements, forms and other legal documents). Over the last 7 years, Leegality has changed the way 2000+ Businesses do their paperwork from large enterprises like HDFC, SBI Cards, Federal Bank, ICICI Lombard, Axis Finance, Tata Capital etc. to high-growth companies like Razorpay, Rupeek, Cars24, Dunzo etc.

To see our impact on customers click here https://www.leegality.com/case-studies

Company Setting :

Leegality has an Employee Net Promoter Score of 97 - the highest on xto10x’s eNPS Survey for Q1 2022. The highest among 60+ notable startups. This makes us, arguably, the most employee-loved startup in the country.

Creating a category-defining company - and changing the way businesses perform a critical function like paperwork - requires powerful marketing that resonates with people.

Responsibilities :

Core Analytics -

- Respond promptly to data requests from diverse teams and stakeholders, using AI-assisted workflows to reduce turnaround time.

- Analyze and interpret complex datasets to extract meaningful, decision-ready insights.

- Develop and maintain interactive dashboards (Tableau / Metabase / Power BI) that clearly communicate KPIs and trends.

- Utilize SQL for efficient data extraction, transformation, and analysis—including AI-assisted query generation, optimization, and debugging.

- Employ advanced Excel / Google Sheets functionalities for data manipulation.

Data Infrastructure & Quality (Familiarity Level) -

- Understand and monitor existing ETL pipelines to ensure data is syncing correctly from source databases (RDS/MySQL, Elasticsearch, etc.) into the data warehouse.

- Keep an eye on pipeline health, identify job failures, and work with the technical team to ensure data freshness for reporting.

- Write and run optimized queries on Amazon Redshift,



with a basic understanding of how data warehouse tables are structured for performance.

- Maintain data quality through regular reconciliation checks between source systems and final reporting tables.

AI-Augmented Working -

- Leverage AI assistants (Claude, Gemini, etc.) to accelerate SQL writing, data cleaning, exploratory analysis, and report drafting.

- Write effective prompts and build reusable AI workflows/templates for recurring analysis and reporting tasks.

- Automate repetitive reporting and data operations using scripts (Python / Apps Script) — with or without AI assistance.

- Critically validate AI-generated outputs: verify logic, check numbers against source data, and catch hallucinations before anything reaches stakeholders.

- Follow data privacy and security best practices when using AI tools — never expose sensitive or client data to unapproved platforms.

- Stay current with emerging AI/analytics tools and proactively suggest ways to improve team productivity.

Collaboration & Communication -

- Collaborate closely with product, sales, tech, and customer success teams to understand their data needs.

- Provide analytical support that helps teams make data-driven decisions.

- Present findings to non-technical stakeholders in a clear and compelling manner.

- Communicate data-driven recommendations to support strategic initiatives.

- Engage in CEO-level interactions, offering data insights that contribute to high-level decision-making.

- Bring a dynamic and adaptable mindset, leveraging any previous startup experience.

Technical Skills :





Must Have -

- SQL (strong proficiency — joins, CTEs, window functions).

- Experience extracting data from data warehouses (Amazon Redshift, Snowflake, or BigQuery).

- BI / Dashboarding tools (Tableau, Metabase, Power BI, or similar).

- Advanced Excel / Google Sheets.

- Hands-on experience using AI tools in an analytics workflow (prompt-writing ability for data tasks).

- Basic understanding of ETL concepts and how data pipelines work.

Good to Have -

- Familiarity with AWS Glue, PySpark, or similar ETL tools (ability to read/understand basic scripts is a big plus).

- Python (pandas) for data analysis and automation.

- Broader AWS ecosystem exposure (S3, Secrets Manager, IAM, CloudWatch).

- Google Apps Script or similar automation experience.

- Experience with dual-source or streaming data pipelines (RDS + Elasticsearch, etc.).

- Familiarity with AI-powered BI features (natural-language querying, auto-insights).

- Basic understanding of APIs and connecting AI tools to data workflows.

Recruitment Process:

- Our hiring process combines AI-powered evaluations with structured interviews to ensure a fair and seamless experience.

- You will be contacted via email with the next steps upon being shortlisted.

- The process may include Assessments, AI-enabled interviews, and In-Person Interviews with our team.

- Final selection and CTC will be based on your overall performance and experience.

Requirements

Apply directly through our career page: https://careers.leegality.com/jobs/Careers

For more information about us please visit our:

Website: https://www.leegality.com/

LinkedIn: https://www.linkedin.com/company/leegality/

Our Company and Culture: https://www.leegality.com/culture

Job Information

- Industry IT Services
- Date Opened 27/10/2026
- Job Type Full time
- Work Experience 1+ years
- Remote Job

📌 Data Analyst (Leegality) (India)
🏢 Leegality
📍 India