Data Analyst (Leegality)

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 herehttps://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 Job Information • Industry IT Services • Date Opened 27/10/2026 • Job Type Full time • Work Experience 5+ years • Remote Job