This is a remote position.

About Leegality:

Leegality works with large Indian businesses to digitally transform critical compliance processes in a fast, easy and secure way.

We have multiple products across 2 categories:

Document Infrastructure:

Products that help businesses build paperless processes at scale:

Document Execution Workflow: A unified platform for businesses to digitally execute (eSign, eStamp, Template Pre-fill, Document Fraud Prevention etc.) agreements, forms and other documents in a compliant way. Currently in use by 2000+ Indian businesses from giants like HDFC and SBI Cards to high-growth disruptors like goDigit and Cars24.
Contract Management: An AI-powered platform for businesses to quickly review, negotiate and take action on contracts
Signstation: A simple platform for businesses to digitally sign simple documents like invoices, policies and letters in a cost effective manner

Consent Infrastructure:

Consentin: An end-to-end DPDP and Privacy compliance platform for Indian businesses
Consentin Lens: A data discovery platform for businesses to identify the personal data they collect and store.

If you’re interested in building mission critical software that operates at population scale (75 million + Indians have signed at least one document through Leegality) then join Leegality.

Curious about our impact? Explore our customer success stories: leegality.com/case-studies

Our Culture :

At Leegality, trust, ownership, transparency, and having fun while doing meaningful work are core to how we operate — not just values on paper. Our team rated us an incredible 97 eNPS for FY 2023–24 — the highest among 175+ startups surveyed.

We focus deeply on helping our people grow and stay motivated. Some of the perks you’ll enjoy:

Flexible working hours
Hybrid work setup
Bi-annual performance appraisals
A culture that rewards initiative, curiosity, and impact

If you're looking for a place where you can make a real difference while working with smart, driven, and genuinely nice people, welcome to Leegality.

Location: Remote

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:

For more information about us please visit our:

Website:

LinkedIn:

Our Company and Culture:

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Our Culture :

Responsibilities :

Technical Skills :

Requirements

Description

Skills

Data Analyst

Data Analyst (Dashboard Developer)

Data Analyst (Leegality)

Data Analyst - Mid Level (F/M/X)

Senior Data Analyst

Data & AI Analyst - AI/ML, Data Pipelines & Analytics

See also