Senior Associate - Data Analytics

DTDL group.; Gurgaon; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Deutsche Telekom Digital Labs Private Limited in Gurgaon, India, is seeking a Senior Associate - Data Analytics to own analytics for AI-powered products such as conversational bots and LLM-based features. You will define and track key metrics, write complex SQL queries, and build robust data models to support dashboards, reporting, experimentation, and product deep dives.

The role requires 4–7 years of data analytics experience, strong Python and SQL proficiency, and the ability to collaborate

Qualifications

• 4–7 years of relevant experience in data analytics or digital product analytics.
• Strong SQL skills with joins, CTEs, window functions, and optimization.
• Proficiency in Python for data analysis, automation, and visualization.

Responsibilities

• Own analytics for AI-powered products including conversational bots and LLM features.
• Define, track and improve metrics like adoption, engagement, escalation, and satisfaction.
• Write advanced SQL queries on large-scale datasets and build reusable data models.
• Design dashboards and reports using BI tools (Metabase, Tableau, Power BI, Looker).
• Mentor analysts and collaborate with Product, Engineering and Business teams.

Skills

A/B testing

Python

Pandas

Education

Bachelor's or Master's in Data Science, Statistics, CS or related

Job description

#### Senior Associate - Data Analytics###### Job Code: DTDLPL-70984 | Deutsche Telekom Digital Labs Private LimitedGurgaon, Haryana, IndiaExpires on 27/07/2026Required Experience4 - 7 YearsSkillsA/B testing,Python,Pandas+ 2 moreJob Description**Key Responsibilities*** Own analytics for AI-powered products such as conversational bots, LLM-based features, service automation journeys, tagging systems, and customer AI experiences.* Define, track, and improve key product metrics including adoption, engagement, containment, resolution rate, escalation rate, fallback rate, user satisfaction, journey completion, and repeat interactions.* Write advanced SQL queries to analyze large-scale product, customer, event, bot, and interaction-level datasets.* Build robust data models and reusable analytical datasets to support dashboards, reporting, experimentation, and product deep dives.* Use Python for exploratory analysis, automation, data validation, statistical analysis, and conversation/text-level analysis.* Analyze conversational journeys to identify user intent patterns, unresolved queries, drop-offs, fallback behavior, escalation drivers, tagging gaps, and customer pain points.* Conduct deep-dive analyses to explain KPI movements, product performance changes, customer behavior trends, and business impact.* Design and maintain dashboards and reports using BI tools such as Metabase, Tableau, Power BI, Looker, or similar platforms.* Partner with Product, Engineering, Data, Design, and Business teams to convert business questions into analytical frameworks and measurable outcomes.* Support experimentation and impact measurement for AI product features, chatbot flows, tagging improvements, and LLM-powered capabilities.* Present insights through clear storytelling, visualizations, and structured recommendations for both technical and non-technical stakeholders.* Contribute to analytics best practices, KPI definitions, metric documentation, dashboard standards, and data quality frameworks.* Mentor junior analysts and support the team in building strong analytical problem-solving capabilities.**Required Skills and Qualifications*** 4–5+ years of relevant experience in data analytics, product analytics, business analytics, or digital product analytics.* Strong hands-on experience with SQL, including joins, CTEs, window functions, aggregations, funnel analysis, cohort analysis, and query optimization.* Proficiency in Python or R, preferably Python, for data analysis, automation, statistical analysis, and visualization.* Strong understanding of data modeling, KPI design, metric definitions, and analytical frameworks.* Experience working with large-scale datasets, event data, customer interaction logs, data warehouses, or cloud data platforms.* Experience with BI and visualization tools such as Metabase, Tableau, Power BI, Looker, or equivalent.* Good understanding of statistics, including hypothesis testing, experiment design, confidence intervals, correlation, regression basics, and predictive techniques.* Ability to perform structured deep dives, root-cause analysis, segmentation, trend analysis, and performance diagnostics.* Excellent communication and storytelling skills, with the ability to simplify complex analysis into clear business insights.* Strong stakeholder management skills with experience working across Product, Engineering, Business, and Data teams.* Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative field, or equivalent practical experience.