Senior Analytics Engineer (Data Analytics), Hyderabad

• 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 understand the business need and build data analytics capabilities especially in large enterprise use cases (financial modeling, sales planning, etc.)
• Identify and explore new opportunities through creative analytical and engineering methods.

• Bachelors degree, MS or greater in a quantitative field of study (Computer/Data Science, Engineering, Mathematics, Statistics, etc.)
• 5 - 8 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, Scala or other) dealing with a variety of data structures, algorithms, and serialization formats
• Experience with big-data technologies (e.g. Spark, Hadoop, Snowflake etc)
• Advanced ability to build reports and dashboards with BI tools (such as Looker, Tableau or PowerBI)
• Experience with analytics tools such as Athena, Redshift, BigQuery or Snowflake.
• 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
• Prior experience in large enterprise usecases such as Sales Analytics Financial Analytics including forecasting will be big plus.
• Strong written and verbal communication skills

• 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.