Where Your Passion Meets Purpose: Empowering Millions through Insurance!
What's Ditto?
At Ditto, our mission is to empower users with a deep understanding of insurance, enabling them to narrow down choices, sidestep common pitfalls, and ultimately make well-informed decisions. From delivering expert insurance advice to facilitating smooth policy purchases and providing dedicated claim support, Ditto ensures a seamless end-to-end insurance experience.
We pioneered the industry-first "No-spam" policy, underscoring our commitment to user-centric solutions. Over the past three years, we've successfully assisted over 300,000 users with personalised advice on health and term insurance. And we have a whopping 4.9 rating with almost 5000+ reviews on Google.
Ditto is part of the Finshots family, a leading financial newsletter boasting a subscriber base of over 500K+ and we are backed by India’s largest stock-broker Zerodha.
Oh, did we mention– We won LinkedIn’s Top Startup award for two consecutive years - 2022 & 2023.
What's the Business Analyst role at Ditto?
As a Senior Data Analyst, you will be a critical player in extracting, transforming, and analysing data to provide actionable insights that align with our organisational values and goals. You will help build scalable data pipelines and contribute to creating a robust data infrastructure, ensuring data is accurate, consistent, and accessible to key stakeholders. Your work will inform decision-making across the company by delivering detailed analysis and visualising data through dashboards and reports that monitor key performance metrics.
In this role, you will dig deep into the data, uncovering trends, anomalies, and opportunities for optimisation. You will work closely with cross-functional teams, particularly leadership, the People Team, and department heads, to deliver data-driven recommendations that enhance operational efficiency and align with the company's broader strategy. This includes designing systems to gather, manage, and extract critical data for analysis, with a strong focus on automation and scalability.
Key Responsibilities :
Data Extraction & Analysis: Retrieve and transform large datasets from multiple sources to provide accurate, insightful analysis that drives business decisions.
Insight Generation: Dive into the data to identify trends, outliers, and opportunities for growth and improvement across various departments, providing in-depth insights to stakeholders.
Data Pipeline Management: Build and maintain automated data pipelines that ensure the continuous flow of clean, reliable data to the teams that need it.
Dashboard & Metrics Monitoring: Create and maintain interactive dashboards and reports to track and monitor KPIs, offering visibility into the health of the business and key initiatives.
Collaborative Strategy Development: Work with leadership and cross-functional teams to shape data strategies that align with company goals and improve operational outcomes.
Continuous Improvement: Stay informed of the latest data trends, tools, and best practices, applying this knowledge to optimise data processes and improve the organisation's data-driven capabilities.
What are we looking for?
Interpersonal skills:
Understanding of organisational culture dynamics and best practices.
Excellent interpersonal and communication skills, with the ability to interact effectively at all levels of the organisation.
Ability to work independently and collaboratively in a fast-paced environment.
Passionate about promoting a positive work environment and employee well-being.
Technical skills:
Advanced SQL: Writing complex queries to extract and manipulate large datasets.
Excel: Advanced Excel skills for quick data analysis, including pivot tables, VLOOKUPs, and advanced formulas.
Data Cleaning: Strong skills in identifying and rectifying data inconsistencies and ensuring data quality.
BI Tools: Experience with Business Intelligence tools like Power BI, Looker, or Qlik to build interactive dashboards and reports.
Data Storytelling: Ability to present data in a visually compelling way that helps stakeholders quickly grasp insights.
Charting & Reporting: Knowledge of various visualisations (bar charts, scatter plots, heatmaps) and when to use each.
Data Mining: Ability to explore large datasets and extract meaningful patterns and trends.
Critical Thinking: Strong analytical mindset to assess problems and find data-driven solutions.
Problem-Solving: Experience in troubleshooting data issues and optimising data processes.
KPI Development: Understanding how to define, track, and analyse Key Performance Indicators (KPIs) relevant to business goals.
ETL Tools: Proficiency in working with ETL (Extract, Transform, Load) tools such as Talend, SSIS, or Alteryx to automate data workflows.
Data Warehousing: Understanding of data warehousing concepts (e.g., Redshift, Snowflake, BigQuery) and experience managing or querying from them.
Database Management: Ability to design and maintain relational and non-relational databases, ensuring data accuracy, security, and scalability.
Statistical Analysis: Knowledge of statistical methods (e.g., regression, hypothesis testing) for deeper data insights.
Predictive Analytics: Familiarity with machine learning models to forecast trends or recommend actions.
Perks
Comprehensive Health Insurance
Compensation as per industry standards
Our Interview Process:
We would like to help you minimise your time and effort. There are 4 rounds & we will be working towards completing all the rounds within a maximum of 2 weeks time.
The schedule is as follows:
1. Introductory call with HR
2.Task or Assignment (Excel)
3. Problem - Solving skills round
4. Sql Round and Managerial Round
This is an in-office role. Our address is : 175/176 Bilekahalli, BG Road, JP Nagar, Bengaluru, Karnataka 560076