12+ Looker Jobs in India

What is OptimizeGEO?

OptimizeGEO is Verix’s flagship platform that helps brands stay visible, cited, and trusted in AI-powered answers. Unlike traditional SEO that optimizes for keywords and rankings, OptimizeGEO operationalizes AEO/GEO principles so brands are discoverable across generative systems (ChatGPT, Gemini, Claude, Perplexity) and answer engines (featured snippets, voice assistants, AI answer boxes).

Role Overview

We are building the next generation of measurement systems for Generative Engine Optimization (AEO/GEO)—defining how “quality,” “trust,” and “impact” are quantified in an AI-first discovery landscape. As Measurement Lead, you will architect the measurement strategy, frameworks, and data models that inform product development, customer outcomes, and go-to-market effectiveness. You’ll combine experimentation, analytics, and generative AI evaluation to create a durable, decision-grade measurement stack.

Key Responsibilities

• Define Measurement Frameworks: Operationalize KPIs for AEO performance - model visibility/coverage, ranking/recall, trust & attribution signals, and downstream engagement/ROI.
• Own the Measurement Stack: Partner with Data Engineering to build systems for A/B and multivariate testing, offline/online model evaluation, and longitudinal tracking of AEO metrics.
• Model & Content Evaluation: Establish benchmarks and scoring systems for generative output quality, factuality, and attribution, leveraging both human-in-the-loop and automated evaluation.
• Cross-Functional Alignment: Drive shared definitions and measurement standards across Product, Data Science, Customer Success, and GTM.
• Insight to Action: Translate raw data into clear recommendations that improve product performance and customer ROI; create exec-ready narratives that tie measurement to business outcomes.
• Thought Leadership: Be the internal SME on measurement in the generative era; evangelize best practices and influence roadmaps through storytelling with data.

Qualifications (Minimum)

• 6–10 years in analytics, data science, experimentation, or measurement - ideally in search, ads, LLM evaluation, or content optimization.
• Proven experience designing metric frameworks and experimentation systems for complex or multi-sided products.
• Deep understanding of AI/LLM evaluation and/or SEO/ads analytics; familiarity with offline vs. online metrics and counterfactuals.
• Advanced proficiency in SQL and Python/R; hands-on with tools such as Amplitude, Mixpanel, Looker/Looker Studio, dbt, BigQuery/Snowflake, and experiment platforms.
• Demonstrated ability to connect analytical rigor to strategic decisions; strong communication and stakeholder influence skills.

Preferred Experience

• Background in search quality, ads measurement, or model eval (e.g., BLEU, ROUGE, BERTScore, factuality/trustworthiness).
• Experience with human evaluation ops, prompt and data set design, and rubric development for LLMs.
• Prior experience in startup or new product incubation environments.

What Success Looks Like (Outcomes)

• Launch the industry’s first AEO Quality Score and reference measurement model.
• Deliver visibility frameworks that tie AI discoverability → content optimization → commercial ROI.
• Establish a robust experimentation and evaluation pipeline that accelerates product velocity and elevates customer outcomes.
• Be recognized as the go-to expert on generative measurement internally and externally.

Ways of Working / Tooling (indicative)

SQL, Python/R, Experiment platforms, Amplitude/Mixpanel, Looker/Looker Studio, BigQuery/Snowflake, dbt, Airflow, prompt-evaluation tooling, annotation platforms, dashboards for exec reporting.

Equal Opportunity

Virtualness is an equal opportunity employer. We celebrate diversity and are committed to an inclusive environment for all employees.

Senior BI Engineer

📍 Location: BHive Bangalore, India

💼 Department: Technology – Data

🚀 Experience Level: Senior

About the Role

Mumzworld is scaling fast, and data is central to our success.

We are looking for a Senior BI Analyst to join our data team and help drive business insights, storytelling, and decision-making through high-quality analytics and reporting.

This is a high-impact role, reporting directly to the Head of Data, and working cross-functionally with business teams, product managers, and engineers to transform data into actionable intelligence.

You will not only deliver robust dashboards and deep-dive analyses but also help define metrics, improve data literacy across the company, and ensure that our analytics layer is consistent, trusted, and scalable.

You will also leverage Generative AI tools to boost productivity, streamline reporting workflows, and enhance collaboration.

Key Responsibilities

• Deliver Impactful Insights

Build, maintain, and optimize dashboards, reports, and deep-dive analyses to support critical business decisions.

• Create Impact Dashboards with Storytelling

Design dashboards that not only show data but tell a clear story — highlighting insights, business implications, and actions.

• Define and Standardize Metrics

Work closely with stakeholders to define KPIs and ensure consistency in metrics across business domains.

• Model for Analytics Needs

Collaborate with data engineers and modelers to ensure data structures (in bronze, silver, gold layers) are optimized for reporting and analytical needs following medallion architecture principles.

• Drive Business Conversations

Translate business questions into clear analytical deliverables; turn data findings into actionable insights and business narratives.

• Ensure Data Quality & Trust

Validate data accuracy and drive initiatives to improve data reliability across all reports and dashboards.

• Leverage Gen AI for Productivity

Promote the use of Generative AI tools to accelerate report building, automate documentation, and summarize insights faster.

• Advance Data-Driven Culture

Conduct workshops, share knowledge, and uplift the organization’s data literacy and self-service capabilities.

• Support Data Science Projects

Partner with the data science team to ensure BI foundations support predictive models, experimentation, and advanced analytics initiatives.

What We’re Looking For

• 5+ years of experience in business intelligence, data analysis, or analytics roles.
• Expertise in BI tools like Looker, Power BI, or Tableau.
• Strong SQL skills to extract, transform, and analyze large datasets.
• Solid understanding of data modeling principles (especially star schema and medallion architecture).
• Understanding of incremental load vs full load strategies, and a passion for building your own scheduled queries and data refreshes.
• Experience working with cloud data warehouses like BigQuery or Snowflake.
• Strong business acumen with the ability to translate data into business value.
• Experience building self-service datasets, semantic layers, or LookML models is a plus.
• Excellent communication skills — able to present complex findings in a clear and actionable way.

Nice-to-Have

📅 E-commerce experience – Familiarity with product, customer, and order data structures.

🤖 Experience with dbt Cloud and modern analytics stacks.

📈 Exposure to data governance, catalogs, or metadata management tools.

🖥️ Experience with GitHub for version control in analytics workflows.

🌐 Understanding of privacy, GDPR, and data compliance best practices.

Who You Are – Soft Skills & Personality

We’re looking for a curious, business-savvy, and detail-driven BI analyst who thrives in a fast-paced, collaborative environment.

👤 Structured & Organized – You design with clarity, document your work well, and maintain consistency across reports and analyses.

💬 Collaborative Communicator – You work well with both technical and business stakeholders.

🚀 Results-Oriented – You focus on delivering impactful insights that drive business outcomes.

🧬 Analytical & Curious – You dig deep into data, question assumptions, and continuously look for improvement opportunities.

🤝 Team Player – You support, teach, and uplift others across the organization.

If you’re passionate about turning data into impact, scaling analytics, and building a data-driven culture, we’d love to hear from you.

Key Responsibilities:

• Architect BI Stack: Design and oversee a scalable and performant BI platform that serves as a single source of truth for key business metrics across functions (Sales, Marketing, Supply Chain, Finance, etc.).

• Advise BI Lead: Act as a technical thought partner to the BI Lead, aligning architecture decisions with long-term strategy and business priorities.

• Design GenAI Layer: Architect a GenAI-powered natural language interface on top of BI dashboards to allow business users to query KPIs, trends, and anomalies conversationally.

• RAG/Graph Approach: Select and implement appropriate architectures (e.g., RAG using vector stores, Knowledge Graphs) to support intelligent, context-aware insights.

• External Data Integration: Build mechanisms to ingest and structure data from public sources (e.g., competitor websites, industry reports, social sentiment) to augment internal insights.

• Security & Governance: Ensure all layers (BI + GenAI) adhere to enterprise data governance, security, and compliance standards.

• Cross-functional Collaboration: Work closely with Data Engineering, Analytics, and Product teams to ensure seamless integration and operationalization.

Qualifications

• 6–9 years of experience in BI architecture and analytics platforms, with at least 2 years working on GenAI, RAG, or LLM-based solutions.

• Strong expertise in BI tools (e.g., Power BI, Tableau, Looker) and data modeling.

• Experience with GenAI frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and vector databases (e.g., Pinecone, FAISS, Weaviate).

• Knowledge of graph-based data models and tools (e.g., Neo4j, RDF, SPARQL) is a plus.

• Proficiency in Python or relevant scripting language for pipeline orchestration and AI integration.

• Familiarity with web scraping and structuring external/third-party datasets.

• Prior experience in CPG domain or large-scale KPI dashboarding preferred.

About the Role:

We are on the lookout for a dynamic Marketing Automation and Data Analytics Specialist, someone who is not only adept in marketing automation/operation but also possesses a keen expertise in data analytics and visualization. This role is tailor-made for individuals who are proficient with tools like Eloqua, Marketo, Salesforce Pardot, and Power BI.

As our Marketing Automation and Data Analytics Specialist, your responsibilities will span across managing and optimizing marketing automation systems and overseeing the migration and enhancement of data systems and dashboards. You will play a pivotal role in blending marketing strategies with data analytics, ensuring the creation of visually appealing and effective reports and dashboards. Collaborating closely with marketing teams, you will help in making data-driven decisions that propel the company forward.

We believe in fostering an environment where initiative and self-direction are valued. While you will receive the necessary guidance and support, the autonomy of your role is a testament to our trust in your abilities and professionalism.

Responsibilities:

• Manage and optimize marketing automation systems (Eloqua, Marketo, Salesforce Pardot) to map and improve business processes.
• Develop, audit, and enhance data systems, ensuring accuracy and efficiency in marketing efforts.
• Build and migrate interactive, visually appealing dashboards and reports.
• Develop and maintain reporting and analytics for marketing efforts, database health, lead scoring, and dashboard performance.
• Handle technical aspects of key marketing systems and integrate them with data visualization tools like Power BI.
• Review and improve existing SQL data sources for effective integration and analytics.
• Collaborate closely with sales, marketing, and analytics teams to define requirements, establish best practices, and ensure successful outcomes.
• Ensure all marketing data, dashboards, and reports are accurate and effectively meet business needs.

Ideal Candidate Qualities:

• Strong commitment to the role with a focus on long-term growth.
• Exceptional communication and collaboration skills across diverse teams.
• High degree of autonomy and ability to work effectively without micromanagement.
• Strong attention to detail and organization skills.

Qualifications:

• Hands-on experience with marketing automation systems and data analytics tools like Eloqua, Marketo, Salesforce Pardot and Power Bi .
• Proven experience in data visualization and dashboard creation using Power BI.
• Experience with SQL, including building and optimizing queries.
• Knowledge of ABM and Intent Signaling technologies is a plus.
• Outstanding analytical skills with an ability to work with complex datasets.
• Familiarity with data collection, cleaning, and transformation processes.

Benefits:

• Work-from-home flexibility.
• Career advancement opportunities and professional development support.
• Supportive and collaborative team environment.

Hiring Process:

The hiring process at InEvolution is thoughtfully designed to ensure alignment between your career goals and our company's objectives. The process will include:

• Initial Phone Screening: A brief conversation to discuss your background and understand your career aspirations.
• Team Introduction Interview: Candidates who excel in the first round will engage in a deeper discussion with our team, providing insights into our work culture and the specificities of the role.
• Technical Assessment: In the final round, you will meet our Technical Director for an in-depth conversation about your technical skills and how these align with the demands of the role.

Job Summary:

Position : Senior Power BI Developer

Experience : 4+Years

Location : Ahmedabad - WFO

Key Responsibilities:

• Design, develop, and maintain interactive and user-friendly Power BI dashboards and
• reports.
• Translate business requirements into functional and technical specifications.
• Perform data modeling, DAX calculations, and Power Query transformations.
• Integrate data from multiple sources including SQL Server, Excel, SharePoint, and APIs.
• Optimize Power BI datasets, reports, and dashboards for performance and usability.
• Collaborate with business analysts, data engineers, and stakeholders to ensure data accuracy
• and relevance.
• Ensure security and governance best practices in Power BI workspaces and datasets.
• Provide ongoing support and troubleshooting for existing Power BI solutions.
• Stay updated with Power BI updates, best practices, and industry trends.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Data Analytics, or a
• related field.
• 4+ years of professional experience in data analytics or business intelligence.
• 3+ years of hands-on experience with Power BI (Power BI Desktop, Power BI Service).
• Strong expertise in DAX, Power Query (M Language), and data modeling (star/snowflake schema).
• Proficiency in writing complex SQL queries and optimizing them for performance.
• Experience in working with large and complex datasets.
• Experience in BigQuery, MySql, Looker Studio is a plus.
• Ecommerce Industry Experience will be an added advantage.
• Solid understanding of data warehousing concepts and ETL processes.
• Experience with version control tools such as Power Apps & Power Automate would be a plus.

Preferred Qualifications:

• Microsoft Power BI Certification (PL-300 or equivalent is a plus). Experience with Azure Data Services (Azure Data Factory, Azure SQL, Synapse).
• Knowledge of other BI tools (Tableau, Qlik) is a plus.
• Familiarity with scripting languages (Python, R) for data analysis is a bonus.
• Experience integrating Power BI into web portals using Power BI Embedded.

Proficient in Looker Action, Looker Dashboarding, Looker Data Entry, LookML, SQL Queries, BigQuery, LookML, Looker Studio, BigQuery, GCP.



Remote Working

2 pm to 12 am IST or

10:30 AM to 7:30 PM IST

Sunday to Thursday

Responsibilities:

● Create and maintain LookML code, which defines data models, dimensions, measures, and relationships within Looker.

● Develop reusable LookML components to ensure consistency and efficiency in report and dashboard creation.

● Build and customize dashboard to Incorporate data visualizations, such as charts and graphs, to present insights effectively.

● Write complex SQL queries when necessary to extract and manipulate data from underlying databases and also optimize SQL queries for performance.

● Connect Looker to various data sources, including databases, data warehouses, and external APIs.

● Identify and address bottlenecks that affect report and dashboard loading times and Optimize Looker performance by tuning queries, caching strategies, and exploring indexing options.

● Configure user roles and permissions within Looker to control access to sensitive data & Implement data security best practices, including row-level and field-level security.

● Develop custom applications or scripts that interact with Looker's API for automation and integration with other tools and systems.

● Use version control systems (e.g., Git) to manage LookML code changes and collaborate with other developers.

● Provide training and support to business users, helping them navigate and use Looker effectively.

● Diagnose and resolve technical issues related to Looker, data models, and reports.

Skills Required:

● Experience in Looker's modeling language, LookML, including data models, dimensions, and measures.

● Strong SQL skills for writing and optimizing database queries across different SQL databases (GCP/BQ preferable)

● Knowledge of data modeling best practices

● Proficient in BigQuery, billing data analysis, GCP billing, unit costing, and invoicing, with the ability to recommend cost optimization strategies.

● Previous experience in Finops engagements is a plus

● Proficiency in ETL processes for data transformation and preparation.

● Ability to create effective data visualizations and reports using Looker’s dashboard tools.

● Ability to optimize Looker performance by fine-tuning queries, caching strategies, and indexing.

● Familiarity with related tools and technologies, such as data warehousing (e.g., BigQuery ), data transformation tools (e.g., Apache Spark), and scripting languages (e.g., Python).

Job Title : Sr. Data Scientist

Experience : 5+ Years

Location : Noida (Hybrid – 3 Days in Office)

Shift Timing : 2 PM to 11 PM

Availability : Immediate

Job Description :

We are seeking a Senior Data Scientist to develop and implement machine learning models, predictive analytics, and data-driven solutions.

The role involves data analysis, dashboard development (Looker Studio), NLP, Generative AI (LLMs, Prompt Engineering), and statistical modeling.

Strong expertise in Python (Pandas, NumPy), Cloud Data Science (AWS SageMaker, Azure OpenAI), Agile (Jira, Confluence), and stakeholder collaboration is essential.

Mandatory skills : Machine Learning, Cloud Data Science (AWS SageMaker, Azure OpenAI), Python (Pandas, NumPy), Data Visualization (Looker Studio), NLP & Generative AI (LLMs, Prompt Engineering), Statistical Modeling, Agile (Jira, Confluence), and strong stakeholder communication.

Job Title : Sr. Data Engineer

Experience : 5+ Years

Location : Noida (Hybrid – 3 Days in Office)

Shift Timing : 2-11 PM

Availability : Immediate

Job Description :

• We are seeking a Senior Data Engineer to design, develop, and optimize data solutions.
• The role involves building ETL pipelines, integrating data into BI tools, and ensuring data quality while working with SQL, Python (Pandas, NumPy), and cloud platforms (AWS/GCP).
• You will also develop dashboards using Looker Studio and work with AWS services like S3, Lambda, Glue ETL, Athena, RDS, and Redshift.
• Strong debugging, collaboration, and communication skills are essential.

Is your next career move to work in a team which uses data, reporting and analytical skills to help answer business questions to make DAZN a data-driven company?

DAZN is a tech-first sport streaming platform that reaches millions of users every week. We are challenging a traditional industry and giving power back to the fans. Our new Hyderabad tech hub will be the engine that drives us forward to the future. We’re pushing boundaries and doing things no-one has done before. Here, you have the opportunity to make your mark and the power to make change happen - to make a difference for our customers. When you join DAZN you will work on projects that impact millions of lives thanks to your critical contributions to our global products

This is the perfect place to work if you are passionate about technology and want an opportunity to use your creativity to help grow and scale a global range of IT systems, Infrastructure, and IT Services. Our cutting-edge technology allows us to stream sports content to millions of concurrent viewers globally across multiple platforms and devices. DAZN’s Cloud based architecture unifies a range of technologies in order to deliver a seamless user experience and support a global user base and company infrastructure.

This role will be based in our brand-new Hyderabad office. Join us in India’s beautiful “City of Pearls” and bring your ambition to life.

Responsibilities:

• Communicate with different stakeholders such as Ad Tech Engineers and Product Owners
• Should be able to extensively work in Google Analytics and strong SQL knowledge is expected.
• Strong analytical skills

Key Competencies:

• 4-8 years of experience as Data Analyst
• Advanced Microsoft Excel Skills
• Strong command on Google Analytics
• Reporting platform UI experience (Tableau, Looker, etc)
• Experience with VAST tags, pixels trackers, etc.
• Experience with DSPs & third-party ad platforms (GAM, YoSpace, etc)

At DAZN, we bring ambition to life. We are innovators, game-changers and pioneers. So, if you want to push boundaries and make an impact, DAZN is the place to be.

As part of our team, you'll have the opportunity to make your mark and the power to make change happen. We're doing things no-one has done before, giving fans and customers access to sport anytime, anywhere. We're using world-class technology to transform sports and revolutionise the industry and we're not going to stop.

• Own the product analytics of bidgely’s end user-facing products, measure and identify areas of improvement through data
• Liaise with Product Managers and Business Leaders to understand the product issues, priorities and hence support them through relevant product analytics
• Own the automation of product analytics through good SQL knowledge
• Develop early warning metrics for production and highlight issues and breakdowns for resolution
• Resolve client escalations and concerns regarding key business metrics
• Define and own execution
• Own the Energy Efficiency program designs, dashboard development, and monitoring of existing Energy efficiency program
• Deliver data-backed analysis and statistically proven solutions
• Research and implement best practices
• Mentor team of analysts

• B.Tech from a premier institute with 5+ years analytics experience or Full-time MBA from a premier b-school with 3+ years of experience in analytics/business or product analytics
• Bachelor's degree in Business, Computer Science, Computer Information Systems, Engineering, Mathematics, or other business/analytical disciplines

• Proven analytical and quantitative skills and an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause
  analyses
• Excellent understanding of retention, churn, and acquisition of user base
• Ability to employ statistics and anomaly detection techniques for data-driven
  analytics
• Ability to put yourself in the shoes of the end customer and understand what
  “product excellence” means
• Ability to rethink existing products and use analytics to identify new features and product improvements.
• Ability to rethink existing processes and design new processes for more effective analyses
• Strong SQL knowledge, working experience with Looker and Tableau a great plus
• Strong commitment to quality visible in the thoroughness of analysis and techniques employed
• Strong project management and leadership skills
• Excellent communication (oral and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams
• Ability to coach and mentor analysts on technical and analytical skills
• Good knowledge of statistics, basic machine learning, and AB Testing is
  preferable
• Experience as a Growth hacker and/or in Product analytics is a big plus