7+ Looker Jobs in India
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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).
Machine Learning (ML)
Data Science
PythonJob 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.
Python
Amazon Web Services (AWS)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.
Data AnalyticsIs 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.
Location: Bengaluru
Department: - Engineering
Bidgely is looking for extraordinary and dynamic Senior Data Analyst to be part of its core team in Bangalore. You must have delivered exceptionally high quality robust products dealing with large data. Be part of a highly energetic and innovative team that believes nothing is impossible with some creativity and hard work.
● Design and implement a high volume data analytics pipeline in Looker for Bidgely flagship product.
● Implement data pipeline in Bidgely Data Lake
● Collaborate with product management and engineering teams to elicit & understand their requirements & challenges and develop potential solutions
● Stay current with the latest tools, technology ideas and methodologies; share knowledge by clearly articulating results and ideas to key decision makers.
● 3-5 years of strong experience in data analytics and in developing data pipelines.
● Very good expertise in Looker
● Strong in data modeling, developing SQL queries and optimizing queries.
● Good knowledge of data warehouse (Amazon Redshift, BigQuery, Snowflake, Hive).
● Good understanding of Big data applications (Hadoop, Spark, Hive, Airflow, S3, Cloudera)
● Attention to details. Strong communication and collaboration skills.
● BS/MS in Computer Science or equivalent from premier institutes.
Data Analytics- 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
Qualifications and Education Requirements
- 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
Skills needed to excel
- 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
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