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Analytics Engineer
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Analytics Engineer
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Sr. Analytics Engineer
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Director, Analytics Engineering
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Principal Analytics Engineer
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Director, Analytics Engineering
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Principal Analytics Engineer
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WARNERMEDIA Hyderabad, India Full timeEvery great story has a new beginning, and yours starts here. · Welcome to Warner Bros. Discovery... the stuff dreams are made of. · Who We Are... · When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to ...
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Data Analytics Engineer
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Staff Analytics Engineer
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WARNERMEDIA Hyderabad, India Full timeEvery great story has a new beginning, and yours starts here. · Welcome to Warner Bros. Discovery... the stuff dreams are made of. · Who We Are... · When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to ...
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Analytics Engineer III
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Bristol Myers Squibb Hyderabad, India OTHERWorking with Us · Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production lin ...
Analytics Engineer - hyderabad, India - Info Services
Description
Job Responsibilities
Design and implement data models that support flexible querying and data visualization.
Partner with Product stakeholders to understand business questions and build out advanced analytical solutions.
Advance automation efforts that help the team spend less time manipulating & validating data and more time analyzing.
Build frameworks that multiply the productivity of the team and are intuitive for other data teams to leverage.
Participate in the creation and support of analytics development standards and best practices.
Create systematic solutions for solving data anomalies: identifying, alerting, and root cause analysis.
Work proactively with stakeholders to ready data solutions for new product and/or feature releases, with a keen eye for uncovering and troubleshooting any data quality issues or nuances.
Identify and explore new opportunities through creative analytical and engineering methods.
Skillset & Experience
Bachelor's degree, MS or greater in a quantitative field of study (Computer/Data Science, Engineering, Mathematics, Statistics, etc.)
5+ years of relevant experience in business intelligence/data engineering
Expertise in writing SQL (clean, fast code is a must) and in data-warehousing concepts such as star schemas, slowly changing dimensions, ELT/ETL, and MPP databases
Experience in transforming flawed/changing data into consistent, trustworthy datasets, and in developing DAGs to batch-process millions of records
Experience with general-purpose programming (e.g. Python, Java, Go), dealing with a variety of data structures, algorithms, and serialization formats
Experience with big-data technologies (e.g. Spark, Kafka, Hive)
Advanced ability to build reports and dashboards with BI tools (such as Looker and Tableau)
Experience with analytics tools such as Athena, Redshift/BigQuery, Splunk, etc.
Proficiency with Git (or similar version control) and CI/CD best practices
Experience in managing workflows using Agile practices
Ability to write clear, concise documentation and to communicate generally with a high degree of precision
Ability to solve ambiguous problems independently
Ability to manage multiple projects and time constraints simultaneously
Care for the quality of the input data and how the processed data is ultimately interpreted and used
Experience with digital products, streaming services, or subscription products is preferred
Strong written and verbal communication skills
Characteristics & Traits
Naturally inquisitive, critical thinker, proactive problem-solver, and detail-oriented.
Positive attitude and an open mind
Strong organizational skills with the ability to act independently and responsibly
Self-starter, comfortable initiating projects from design to execution with minimal supervision
Ability to manage and balance multiple (and sometimes competing) priorities in a fast-paced, complex business environment and can manage time effectively to consistently meet deadlines
Team player and relationship builder