Leegality 数据分析师

Category: IT Services

Location:

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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:Details
Originally posted on Himalayas