Leegality→

Data Analyst (Leegality) at Leegality in Remote

Mid LevelRemoteFull-timeRemote

Skills

sqlamazon redshiftsnowflakebigquerytableaumetabasepower biexcelgoogle sheetsetl conceptsai toolsprompt-writingcommunicationcollaborationproblem solvingadaptabilityattention to detailaws gluepysparkpythonpandasaws s3aws secrets manageraws iamaws cloudwatchgoogle apps scriptrdselasticsearchapisai-powered bi features

Job Description

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