Data Products Manager

Lattice Technologies Ltd.; Gurugram District; On-site; INR 900,000 - 1,800,000; Full time

Job summary

1Lattice is seeking a Data Products Manager to transform sources like websites, reports and APIs into actionable insights. You will structure data from diverse inputs, create models and present clear findings to stakeholders. This role emphasizes research and analytics over ML.

The ideal candidate will turn business questions into data requirements, build scalable data processes and collaborate with product teams to embed insights into solutions.

Qualifications

• Must possess strong research skills and ability to source data from diverse public sources.
• Ability to translate business questions into data requirements and models.
• Proficient in Excel and SQL for data manipulation and analysis.
• Working knowledge of Python and Pandas for data processing and quick analyses.
• Understanding of relational data models and data normalization.
• Experience cleaning, deduplicating and reconciling data from multiple sources.
• Ability to define metrics, categories and scoring methods for benchmarking.
• Familiarity with APIs and web scraping tools (BeautifulSoup, Scrapy, Playwright).
• Excellent ability to communicate findings clearly to business and product teams.

Responsibilities

• Research industries, markets, companies, competitors and customers.
• Clarify business questions and determine required information and data.
• Gather relevant data from public sources, government portals, company sites, reports, databases and APIs.
• Merge information from spreadsheets, PDFs, websites and other sources.
• Create and maintain data models for entities, attributes and relationships.
• Clean, standardise, validate and remove duplicates.
• Use SQL, Excel and Python to analyse data and identify trends and gaps.
• Prepare market sizing, benchmarking, company profiling and comparative analysis.
• Build simple scoring and classification models where needed.
• Document data sources, definitions, assumptions and limitations.
• Present findings via reports, presentations and dashboards.
• Collaborate with product and engineering teams to include research/data in products.

Skills

Business research

Business models & market structures

Excel

SQL

Python (Pandas)

Data modeling

Data cleaning

Metrics & scoring

APIs & web scraping

Communication

Education

B.Tech or MBA

Tools

Python (Pandas)

Job description

About 1Lattice:

1Lattice is a 360-degree business decision support platform with a tech-enabled services stack of data, people network, and custom research. Powered by advanced tech tools and unique data-gathering approaches, 1Lattice offers an integrated product suite to make decisions smartly, right from Inputs to Validation, Execution and Measurement. 1Lattice works with clients and partners globally, helping them solve a wide variety of business and organizational problems through actionable research-led insights.

About the role

We are looking for a Data Products Manager who can research markets and businesses, organise data and turn it into useful insights. The role involves working with information from websites, reports, databases, APIs and other external sources.

The person should be comfortable understanding a business problem, finding the right data, structuring it properly and presenting clear findings. This is primarily a research and analytics role, not a machine learning role.

Key responsibilities

• Research industries, markets, companies, competitors and customers.


• Understand business questions and decide what information and data are required.


• Find relevant data from public sources, government portals, company websites, reports, databases and APIs.


• Collect and combine information from spreadsheets, PDFs, websites and other sources.


• Create and maintain data models for business entities, attributes and relationships.


• Clean, standardise, validate and remove duplicate data.


• Use SQL, Excel and Python to analyse data and identify trends, gaps and opportunities.


• Prepare market sizing, benchmarking, company profiling and comparative analysis.


• Build simple scoring and classification models where required.


• Document data sources, definitions, assumptions and limitations.


• Present findings through reports, presentations and dashboards.


• Work with product and engineering teams when research or data needs to be included in a product.

Required skills

• Strong business and secondary research skills.


• Good understanding of business models, industries and market structures.


• Strong Excel and SQL skills.


• Working knowledge of Python, especially Pandas.


• Good understanding of relational data modelling.


• Experience cleaning and combining data from multiple sources.


• Ability to define metrics, categories and scoring methods.


• Basic knowledge of APIs and web scraping using tools such as BeautifulSoup, Scrapy or Playwright.


• Ability to explain findings clearly to business and product teams.

Education and experience

• B.Tech in a relevant discipline or an MBA from a recognised institution.


• 3–6 years of experience in business research, data analytics, market intelligence, consulting or a related role.


• Experience working with incomplete or unstructured business data.

Preferred experience

• Experience in a consulting, research, analytics or data-driven product company.


• Experience with external business, consumer, healthcare, financial, demographic or geographic datasets.


• Knowledge of Power BI, Tableau, Metabase or a similar visualisation tool.


• Exposure to statistical analysis, geospatial data or LLM-based information extraction.

What we are looking for

The ideal candidate is intellectually curious, detail-oriented, and comfortable navigating ambiguity. They can independently investigate a topic, critically assess the credibility of sources, and synthesise findings into a format that is clear and actionable for others.

They should also bring high energy and a strong sense of ownership - someone who proactively drives initiatives forward and treats challenges as their own to solve, rather than simply tasks to complete. As this is a client-facing role, excellent communication skills are essential; you should be able to represent the team with credibility and clarity in front of clients.