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Company

Original Job Post

myGwork - LGBTQ+ Business Community · 3 days ago

Staff Analytics Engineer

New York, United States

Full-time

Onsite

Senior Level

$132K/yr - $244K/yr

7+ years exp

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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.

Mentor fellow engineers and help others act as successful stewards of our tools.

Build frameworks that multiply the productivity of the team and are intuitive for other data teams to leverage.

Guide the Analytics Engineering roadmap, communicate timelines, and manage development cycles/sprints to deliver value.

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.

Qualification

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SQLBI ToolsData TransformationData WarehousingProgrammingBig Data TechnologiesVersion ControlCI/CDAgile PracticesDocumentationProblem-SolvingCommunicationTime ManagementDigital ProductsStreaming ServicesSubscription ProductsStakeholder Management

Required

Bachelor's degree, MS or greater in a quantitative field of study (Computer/Data Science, Engineering, Mathematics, Statistics, etc.)

7+ years of relevant experience in advanced analytics/analytics engineering

Expertise in writing SQL (clean, fast code is a must)

Experience working with complex stakeholders; dissecting vague asks and outputting digestible strategic insights from data

Advanced ability to build reports and dashboards with BI tools (such as Looker and Tableau)

Experience in transforming flawed/changing data into consistent, trustworthy datasets, and in developing DAGs to batch-process millions of records

Experience in data-warehousing concepts such as star schemas, slowly changing dimensions, ELT/ETL, and MPP databases

Experience with general-purpose programming (e.g. Python, Java, Go), dealing with a variety of data structures, algorithms, & statistical analysis etc.

Experience with big-data technologies (e.g. Spark, Kafka, Hive)

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, while prioritizing the quality of the input data and how the processed data is ultimately interpreted and used by stakeholders

Ability to manage multiple projects and time constraints simultaneously