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Data Analyst (Leegality)

Leegality
10 hours ago
Full-time
Remote
Worldwide
Administrative / Office Jobs

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 Environment :


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