Data Analyst

About the Role

The Data & Analytics team within the Commercial Solutions line of business has an ambitious mandate, where we are accountable for leveraging Data & Analytics to deliver business value both internally as well as to external clients through the following:

• Enhance existing or create new products and services with proprietary data assets and partnering with external data providers, through the application of data science
• Design and deliver cutting-edge reporting solutions to bring data to life
• Conduct advanced data analysis to generate business insights that drive strategic decision-making
• Demonstrate thought leadership in the ecosystem in which we operate
• Provide actionable recommendations to improve overall organizational efficiencies

In addition, this team will play an important role in evangelizing and educating the value of Data & Analytics to the rest of the organization, in support of cultivating a data-driven culture.

You will support these ambitious goals primarily through ensuring seamless data integration, maintaining high quality data standards, collaborating with cross functional teams, and delivering comprehensive analyses and innovative visualization using business intelligence tools.

What You’ll Be Doing

The Data Analyst supports the team in the design, development, and implementation of data & analytics use cases through the following responsibilities:

Data Exploration (30%)

• Collaborate across marketing, product, finance, partner solutions, data engineering and other teams to deeply understand business objectives
• Translate business questions into technical data needs, ensuring alignment with project goals
• Gather internal and external datasets creatively, ensuring relevance to business use cases
• Exhibit strong attention to detail while working with large datasets to ensure accuracy, completeness and high-quality standards
• Present insights clearly through reports and presentations tailored to diverse audiences

Data Processing and Engineering Support (30%)

• Partner closely with data engineers and data scientists to ensure data pipelines and models align with organizational goal
• Diagnose and enhance data quality across diverse sources
• Recommend ways to integrate disparate data sources into a usable data model to meet business requirements
• Present business insights in a meaningful and intuitive manner, in accordance with the target audience, using Tableau, Excel, and other BI tools

Data Analytics and Visualization (40%)

• Create interactive dashboards and reports that guide business decisions
• Demonstrate curiosity by exploring datasets, conducting exploratory data analysis to uncover hidden trends, outliers, anomalies, and identify insights that might not be obvious
• Provide detailed analysis of customer behavior, market trends, and competitive landscape to support product, sales and marketing strategies
• Use visualization techniques to communicate insights effectively and intuitively

About You

What will you need to be successful?

You are someone who:

• Is keen to understand the business – data analytics cannot be done in a vacuum – we need to be close to the business so that we understand what we are trying to solve for and what the data means
• Tells stories from data – data analytics is not data dump – it needs to be meaningful and intuitive to the end user in order to realize the inherent business value
• Challenges the status quo – the state of business and the field of data analytics are constantly evolving, and we need to as well. Assumptions and old ways of doing things are open season, as long as you bring along workable and relevant solutions articulated in a professional manner. Proactively pursue and learn about new data sets, analytical tools and methodologies to solve problems in new and innovative ways.
• Is good at problem solving – someone who can “connect the dots”, and have a logical and methodical way to tackle new and complex problems
• Takes pride in your work – your work is diligent and thorough, and you are proud of your reputation for high-quality and reliable work
• Is a quick study – the successful candidate must be curious, resourceful, and dig into the weeds to ask the right questions and figure things out independently
• Is a good communicator – someone who is polished and can communicate effectively with internal and external parties to ensure alignment on data analysis and reporting needs

Technical qualifications:

• Bachelor’s degree in quantitative field: Statistics, Mathematics, Computer Science, Engineering
• Minimum 4 years of work experience as a Data Analyst
• Proficiency in SQL, Python and Excel
• Advanced expertise in Tableau, or other BI tools
• Knowledge of Big Data Technologies (HDFS, Spark, etc.) and Cloud platforms (AWS and/or Azure)
• Understanding of spatial data concepts, including geospatial data formats (e.g., GeoJSON, Shapefiles), spatial analysis, and tools like ArcGIS

Job Type: Full-time

Pay: ₹600,000.00 - ₹1,200,000.00 per year

Work Location: In person