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Q

Sr. Data Analyst

qgjdnw9nmr2194juwgckfyigymtw75066ce4h5qqgdzfvfxxft0djl3aflgnsx1s · 30+ days ago

Newark, NJ, US

$107k+
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Full-time

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Summary
Responsible for the successful design and delivery of complex analyses and reporting solutions to meet business needs. Interacts directly with internal and external customers and colleagues in the development of reporting and analytic solutions. Acts as a project lead for complex projects involving multiple resources and tasks. Provides mentoring to other team members.

Responsibilities

Collaborates with internal partners and organizations in the design and development of reporting solutions and analytic studies to support business needs.
Develops, validates, and executes complex queries, develops complex reports and performs complex data analysis that answers business questions for internal customers; interprets results, and makes recommendations to business areas based on findings.
Develops project plans and timelines; responsible for project commitments to quality and on-time deliverables.
Evaluates data needs of assigned projects, assures data integrity and suitability, and determines data collection methods, metrics definitions and evaluation methods.
Turns data into actionable information through reporting solutions.
Troubleshoots technical details / issues.
Presents analysis and reports to internal customers and stakeholders.

Qualifications

Bachelor's degree (preferably in statistics, computer science, data sciences, engineering) with relevant business experience.
3-4 years' experience with advanced SQL programming abilities using large data warehouse environments, to include some experience with ETL/ELT in a big data environment (e.g., Google Cloud Platform-GCP, Hadoop, Apache, NiFi, etc.)
Must have experience using Snowflake and SQL
Knowledge of analytic programming tools, methods, and platforms for reporting, scripting, and/or ETL needs, including Python, SAS, VBA, Alteryx, Visual Studio, etc.
Experience working with large data sets from multiple data sources and understanding of relational databases, data systems and data warehouses, to include data modeling for optimal business intelligence solutions development.
Extensive and diverse knowledge of business operational metrics, systems and standards - knowledge of clinical operations metrics a plus; demonstrated subject matter expertise in multiple subject areas.
Ability to communicate technical ideas and results to non-technical clients in written and verbal form.
Ability to manage conflicting priorities and multiple projects concurrently.
Creates and evaluates the data needs of assigned projects and assures the integrity of the data.
Microsoft Office skills; PowerPoint and advanced Excel, pivot tables, visuals

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Last updated on Oct 4, 2023

About the company

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