200+ applicants

Company

Original Job Post

Digital Matter · 3 days ago

Business Intelligence Engineer Lead

New York, NY

Full-time

Onsite

Senior Level

$135K/yr - $220K/yr

7+ years exp

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Responsibilities

Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data models, reports/dashboards/BI solutions for analytics and deep learning.

Provide reporting and analysis using business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources.

Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals

Construct and deliver analytics product roadmaps that deliver insightful and user-friendly dashboards for both internal stakeholders and clients.

Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes.

Partner directly with product, media, and consulting teams to anticipate the data infrastructure and tooling needs of the organization and proactively build solutions that fuel insights.

Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture.

Proactively assess the data needs of internal teams and external clients with technical teams to deliver proof of concepts, QA data sources, and deliver new data tables, metrics, and analytics products

Proactively monitor existing metrics, propose new metrics, and work across the organization to deliver actionable intelligence.

Own and continually improve metrics documentation and data governance

Document technical details of your work using industry standard protocols inclusive of Jira and Confluence

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLData modelingAutomated data warehousingRedshiftSnowflakeS3Data lakesTableauLookerQuicksightBI solutionsPythonRCoding languagesData managementData storage principlesData visualization toolsGathering requirementsFormulating business metricsProblem-solvingHard-workingSelf-driven communication deliver on ambiguous projects draw insights from data clearly communicate with stakeholders work in a fast-paced environmentAWS QuickSightElasticCacheStatistical Models

Required

BA/BS in Computer Science, Engineering, Mathematics, or related field

Advanced knowledge of SQL and data modeling

7+ years of experience building automated data warehousing environments for production reports or tables. Familiarity with Redshift, Snowflake DWH’s and S3 or similar data lakes preferred.

5+ years’ experience with data visualization tools inclusive of Tableau and familiarity with Looker, Quicksight, or similar visualization platforms.

3+ years of work experience in building self-serve BI solutions, canned reports and enterprise level BI solutions.

3+ years of experience with data modeling in large Data warehousing, data lake environment

2+ years of experience on Python/ R or similar coding languages

Advanced ability to draw insights from data and clearly communicate them to the stakeholders and senior management as required.

Be self-driven, and ability to deliver on ambiguous projects with incomplete data.

Knowledge of data management fundamentals and data storage principles.

Strong written and verbal communication skills are required as this role will interface directly with cross-functional teams to roll out new tools, communicate data infrastructure changes, and share analytical findings with executive leaders.

Ability and interest in working in a fast-paced and rapidly changing environment.

Excellent communication skills, both written and verbal

Experience in gathering requirements and formulating business metrics for reporting