14+ Looker Jobs in India

Required Skills: Proficiency in CRM tools, Excellent Communication & Stakeholder Management, Cross functional collaboration, Amplitude, Mixpanel, GA4, Retention Strategy

Criteria:

• Candidate should have Experience: 6–8 years in Product Marketing, Lifecycle Marketing for digital-first or app-based businesses.
• Preferred industry exposure: Gaming, OTT, consumer tech, or subscription-led platforms or E-commerce environments.
• Understanding of lifecycle communication, retention strategies, and user segmentation.
• Strong understanding of user behavior, adoption funnels, and product-led growth.
• Hands-on experience in CRM and in-app communication campaigns.
• Proficient in analyzing funnel metrics, adoption KPIs, and deriving actionable insights.
• Strong stakeholder management and ability to collaborate with Product, Design, Data & Lifecycle teams.
• Experience with CRM tools such as CleverTap, MoEngage, Braze, or WebEngage.
• Familiarity with analytics platforms (Amplitude, Mixpanel, GA4) and basic understanding of A/B testing / experimentation frameworks.

Description

Key Responsibilities

1. Drive Feature & Product Adoption

• Plan and execute go-to-market (GTM) and in-app communication strategies to increase awareness and usage of new or underutilized product features.

2. Convert User Insights into Messaging

• Analyze user behavior and pain points to craft clear, value-led positioning and messaging for features and product experiences.

3. Plan & Execute Cross-Channel Campaigns

• Run CRM, in-app, and creative communication campaigns to educate users, highlight feature benefits, and improve engagement.

4. Measure & Optimize Performance

• Track feature usage, conversion, and retention metrics to identify gaps and refine messaging, funnels, or user journeys.

5. Collaborate with Cross-Functional Teams

• Work closely with Product, Data, Design, and Lifecycle Marketing teams to ensure consistent communication and seamless product experience delivery.

Key Expected Outcomes

• Demonstrable growth in feature and overall product adoption across the platform.
• Smooth and timely GTM execution for new feature launches.
• Clear, consistent product communication across all channels and user segments.
• Data-backed continuous improvement informed by user feedback and performance insights.
• Strong collaboration and alignment between Product, Lifecycle, and Design teams, ensuring efficient rollouts and improved user experience.

Must-Have Requirements

• 6-8 years of experience in Product Marketing, Lifecycle Marketing, or similar roles in digital-first/app-led businesses (OTT, consumer tech, or subscription-based models preferred).
• Strong understanding of user behavior, adoption funnels, and product usage patterns.
• Hands-on experience executing CRM and in-app communication campaigns.
• Analytical mindset with the ability to interpret funnel metrics and convert insights into action.
• Excellent communication and stakeholder management skills.
• Strong written and verbal communication, with clarity in user-facing messaging.
• Ownership mindset with end-to-end accountability for campaign planning and execution.
• Understanding of digital platforms and OTT ecosystems.

Should-Have Requirements

• Experience working in OTT, entertainment, or consumer-tech environments with knowledge of content-driven user behaviors.
• Working knowledge of CRM tools such as Clevertap, MoEngage, Braze, or WebEngage.
• Familiarity with analytics tools (Amplitude, Mixpanel, GA4).
• Exposure to A/B testing and experimentation frameworks.
• Comfort with data visualization platforms such as Appsflyer, Metabase, Looker, or Power BI.
• Understanding of lifecycle communication and retention-focused strategies.
• Ability to review or create campaign creatives with strong narrative alignment.
• Curiosity and storytelling capability to translate product features into user benefits.

Good-to-Have Requirements

• Prior experience in driving feature adoption or contributing to product-led growth initiatives.
• Experience working in high-growth, data-driven startup environments.
• Familiarity with marketing automation and experimentation tools.
• A creative eye for content, communication, and user experience design.

Success Metrics

• Feature Adoption Rate: % of users engaging with new features (7-day/30-day adoption).
• Feature Retention Rate: Repeat usage of adopted features.
• Campaign Engagement Metrics: CTR, CVR, and engagement uplift from CRM/in-app campaigns.
• Time-to-Launch Efficiency: Speed and accuracy of GTM execution.
• User Awareness: Improvement in survey scores or reduction in support queries.
• Cross-Functional Alignment: Execution efficiency with Product, Data, and Design teams.
• Impact on Retention & Watch Hours: Contribution of product marketing efforts toward user engagement KPIs.

Review Criteria

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred

• Preferred (Nice-to-have) – Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Job Specific Criteria

• CV Attachment is mandatory
• How many years of experience you have with Dremio?
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate

• Bachelor’s or master’s in computer science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

MANDATORY CRITERIA:

- Candidate Must be a graduate from IIT, NIT, NSUT, or DTU.

- Need candidate with 1–2 years of pure Product Analyst experience is mandatory.

- Candidate must have strong hands-on experience in Product + Data Analysis + Python.

- Candidate should have Python skill on the scale of 3/5 at least.

- Proficiency in SQL and ability to work with large datasets.

- The candidate must experience with A/B testing, cohorts, funnels, retention, and product metrics.

- Hands-on experience with data visualization tools (Tableau, Power BI, Looker, Mixpanel, GA, etc.).

- Candidate must have experienece in Jira.

- Strong communication skills with the ability to work with Product, Engineering, Business, and Ops teams.

OVERVIEW:

As a Product Analyst, you will play a critical role in driving product decisions through data insights and operational understanding. You’ll work closely with Product Managers, Engineering, Business, and Operations teams to analyze user behavior, monitor feature performance, and identify opportunities that accelerate growth, improve user experience, and increase revenue. Your focus will be on translating data into actionable strategies, supporting product roadmaps, and enabling informed decision-making across demand-side projects and operations.

WHAT YOU WILL DO?

● Partnering with Product Managers and cross-functional teams to define metrics, build dashboards, and track product performance.

● Conducting deep-dive analyses of large-scale data to identify trends, user behavior patterns, growth gaps, and improvement opportunities.

● Performing competitive benchmarking and industry research to support product strategy and prioritization.

● Generating data-backed insights to drive feature enhancements, product experiments, and business decisions.

● Tracking post-launch impact by measuring adoption, engagement, retention, and ROI of new features.

● Working with Data, Engineering, Business, and Ops teams to design and measure experiments (A/B tests, cohorts, funnels).

● Creating reports, visualizations, and presentations that simplify complex data for stakeholdersand leadership.

● Supporting the product lifecycle with relevant data inputs during research, ideation, launch, and optimization phases.

WHAT WE ARE LOOKING FOR?

● Bachelor’s degree in engineering, statistics, business, economics, mathematics, data science, or a related field.

● Strong analytical, quantitative, and problem-solving skills.

● Proficiency in SQL and ability to work with large datasets.

● Experience with data visualization/reporting tools (e.g., Excel, Google Sheets, Power BI, Tableau, Looker, Mixpanel, GA).

● Excellent communication skills — able to turn data into clear narratives and actionable recommendations.

● Ability to work collaboratively in cross-functional teams.

● Passion for product, user behavior, and data-driven decision-making

● Prior internship or work experience in product analytics, business analysis, consulting, or growth teams.

● Familiarity with experimentation techniques (A/B testing, funnels, cohorts, retention metrics).

● Understanding of product management concepts and tools (Jira, Confluence, etc.).

● Knowledge of Python or R for data analysis (optional but beneficial).

● Exposure to consumer tech, mobility, travel, or marketplaces.

MANDATORY CRITERIA:

- Candidate Must be a graduate from IIT, NIT, NSUT, or DTU.

- Need candidate with 1–2 years of pure Product Analyst experience is mandatory.

- Candidate must have strong hands-on experience in Product + Data Analysis + Python.

- Candidate should have Python skill on the scale of 3/5 at least.

- Proficiency in SQL and ability to work with large datasets.

- The candidate must experience with A/B testing, cohorts, funnels, retention, and product metrics.

- Hands-on experience with data visualization tools (Tableau, Power BI, Looker, Mixpanel, GA, etc.).

- Candidate must have experienece in Jira.

- Strong communication skills with the ability to work with Product, Engineering, Business, and Ops teams.

OVERVIEW:

As a Product Analyst, you will play a critical role in driving product decisions through data insights and operational understanding. You’ll work closely with Product Managers, Engineering, Business, and Operations teams to analyze user behavior, monitor feature performance, and identify opportunities that accelerate growth, improve user experience, and increase revenue. Your focus will be on translating data into actionable strategies, supporting product roadmaps, and enabling informed decision-making across demand-side projects and operations.

WHAT YOU WILL DO?

● Partnering with Product Managers and cross-functional teams to define metrics, build dashboards, and track product performance.

● Conducting deep-dive analyses of large-scale data to identify trends, user behavior patterns, growth gaps, and improvement opportunities.

● Performing competitive benchmarking and industry research to support product strategy and prioritization.

● Generating data-backed insights to drive feature enhancements, product experiments, and business decisions.

● Tracking post-launch impact by measuring adoption, engagement, retention, and ROI of new features.

● Working with Data, Engineering, Business, and Ops teams to design and measure experiments (A/B tests, cohorts, funnels).

● Creating reports, visualizations, and presentations that simplify complex data for stakeholdersand leadership.

● Supporting the product lifecycle with relevant data inputs during research, ideation, launch, and optimization phases.

WHAT WE ARE LOOKING FOR?

● Bachelor’s degree in engineering, statistics, business, economics, mathematics, data science, or a related field.

● Strong analytical, quantitative, and problem-solving skills.

● Proficiency in SQL and ability to work with large datasets.

● Experience with data visualization/reporting tools (e.g., Excel, Google Sheets, Power BI, Tableau, Looker, Mixpanel, GA).

● Excellent communication skills — able to turn data into clear narratives and actionable recommendations.

● Ability to work collaboratively in cross-functional teams.

● Passion for product, user behavior, and data-driven decision-making

● Prior internship or work experience in product analytics, business analysis, consulting, or growth teams.

● Familiarity with experimentation techniques (A/B testing, funnels, cohorts, retention metrics).

● Understanding of product management concepts and tools (Jira, Confluence, etc.).

● Knowledge of Python or R for data analysis (optional but beneficial).

● Exposure to consumer tech, mobility, travel, or marketplaces.

Review Criteria

• Strong Lead – User Research & Analyst profile (behavioural/user/product/ux analytics)
• 10+ years of experience in Behavioral Data Analytics, User Research, or Product Insights, driving data-informed decision-making for B2C digital products (web and app).
• 6 months+ experience in analyzing user journeys, clickstream, and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, Firebase, or Amplitude.
• Experience in leading cross-functional user research and analytics initiatives in collaboration with Product, Design, Engineering, and Business teams to translate behavioral insights into actionable strategies.
• Strong expertise in A/B testing and experimentation, including hypothesis design, execution, statistical validation, and impact interpretation.
• Ability to identify behavioral patterns, funnel drop-offs, engagement trends, and user journey anomalies using large datasets and mixed-method analysis.
• Hands-on proficiency in SQL, Excel, and data visualization/storytelling tools such as Tableau, Power BI, or Looker for executive reporting and dashboard creation.
• Deep understanding of UX principles, customer journey mapping, and product experience design, with experience integrating qualitative and quantitative insights.

Preferred

• Ability to build insightful dashboards and executive reports highlighting user engagement, retention, and behavioral metrics; familiarity with mixed-method research, AI-assisted insight tools (Dovetail, EnjoyHQ, Qualtrics, UserZoom), and mentoring junior researchers

Job Specific Criteria

• CV Attachment is mandatory
• We have an alternate Saturday’s working. Are you comfortable to WFH on 1st and 4th Saturday?

Role & Responsibilities

Product Conceptualization & UX Strategy Development:

• Conceptualize customer experience strategies
• Collaborate with product managers to conceptualize new products & align UX with product roadmaps.
• Develop and implement UX strategies that align with business objectives.
• Stay up-to-date with industry trends and best practices in UX & UI for AI.
• Assist in defining product requirements and features.
• Use data analytics to inform product strategy and prioritize features.
• Ensure product alignment with customer needs and business goals.Develop platform blueprints that include a features and functionalities map, ecosystem map, and information architecture.
• Create wireframes, prototypes, and mock-ups using tools like Figma
• Conduct usability testing and iterate designs based on feedback
• Employ tools like X-Mind for brainstorming and mind mapping

Customer Journey Analysis:

• Understand and map out customer journeys and scenarios.
• Identify pain points and opportunities for improvement.
• Develop customer personas and empathy maps.

Cross-Functional Collaboration:

• Work closely with internal units such as UX Research, Design, UX Content, and UX QA to ensure seamless delivery of CX initiatives.
• Coordinate with development teams to ensure UX designs are implemented accurately.

Data Analytics and Tools:

• Utilize clickstream and analytics tools like Google Analytics, CleverTap, and Medallia to gather and analyse user data.
• Leverage data to drive decisions and optimize customer experiences.
• Strong background in data analytics, including proficiency in interpreting complex datasets to inform UX decisions.

Ideal Candidate

• Bachelor’s or Master’s degree in a relevant field (e.g., UX Design, Human-Computer Interaction, Computer Science, Marketing).
• 5+ years of experience in CX/UX roles, preferably in a B2C environment.
• Proficiency in analytics tools (Google Analytics, CleverTap, Medallia, Hotjar, etc).
• Strong understanding of wireframing and prototyping tools (Figma, XMind, etc).
• Excellent communication and collaboration skills.
• Proven experience in managing cross-functional teams and projects.
• Strong background in data analytics and data-driven decision-making.
• Expert understanding of user experience and user-centered design approaches
• Detail-orientation with experience and will to continuously learn, adapt and evolve
• Creating and measuring the success and impact of your CX designs
• Knowledge of testing tools like Maze, UsabiltyHub, UserZoom would be a plus
• Experienced in designing responsive websites as well as mobile apps
• Understanding of iOS and Android design guidelines
• Passion for great customer-focus design, purposeful aesthetic sense and generating simple solutions to complex problems.
• Excellent communication skills to be able to present their work and ideas to the leadership team.

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.

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