Analytics Engineer @ Miracle Software Systems, Inc | Jobright.ai
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Analytics Engineer jobs in Dearborn, MI
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Miracle Software Systems, Inc · 1 day ago

Analytics Engineer

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B2BBig Data
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H1B Sponsor Likelynote
Hiring Manager
Ravi Koorakula
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Responsibilities

Build and maintain data models that transform raw data into clean, tested, and reusable datasets and make it easier for stakeholders to analysis the data using Power BI dashboards.
Contribute to the development and maintenance of our Qlik and Power BI dashboards ensuring they are powered by accurate and timely data.
Design, develop, and maintain data transformation pipelines on GCP, handling complex business rules and high-volume data from various sources, including Adobe Analytics.
Build and maintain batch and real-time data pipelines using GCP services like Big Query, Dataflow, Cloud Functions, and Pub/Sub to support our digital analytics needs.
Data Analysis Expressions (DAX) Creating DAX calculations and measures to support data analysis.
Develop and optimize ETL processes to ingest, transform, and load data from multiple sources into our data warehouse, ensuring data quality and consistency.
Collaborate with the analytics team to translate business requirements into actionable data models and pipelines that power reports, dashboards, and other analytical outputs.
Create and maintain comprehensive documentation for all data pipelines, ETL processes, and data models.
Implement and maintain data quality checks and monitoring systems to ensure data accuracy, integrity, and reliability.
Stay up-to-date with the latest technologies and best practices in data engineering, particularly within the GCP ecosystem.

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.

Power BIGoogle Cloud Platform (GCP)DAXBigQueryCloud StorageDataflowPower QuerySQLData IntegrationData VisualizationPythonRCI/CD PipelinesPower BI CertificationGCP Certification

Required

5+ years of experience in analytics engineering, with a proven track record of building data models, data transformation and maintaining data pipelines
Extensive experience with GCP services, including BigQuery, Dataflow, Cloud Storage, Cloud Functions, Pub/Sub, and Data Fusion.
Strong experience with Adobe Analytics data structures and APIs, including data extraction and processing.
Advanced SQL skills Major share of an analytics engineer’s duties will be creating logic for data transformations, writing lots of queries, and building data models, being an expert in SQL is a must.
Data Visualization tools experience with data visualization tools like Qlik, Power BI, is a must.
Strong understanding of data warehousing concepts and best practices.
Excellent problem-solving, analytical, and communication skills.
Ability to work independently and as part of a team in a fast-paced environment.
Experience with digital analytics data (Adobe clickstream, transaction, and OMS data)
Prior background in ecommerce analytics applications
Familiarity with agile development methodologies.
Bachelor's degree in a quantitative field such as statistics, mathematics, computer science, or business analytics.

Preferred

Master's Degree: Master's degree in a related field.
Industry Certifications: Adobe Analytics Certification and/or Alteryx Workflow Certified
Experience with Specific Tools: QlikSense, Power BI, Alteryx, SQL, GCP, and Adobe Analytics.

Company

Miracle Software Systems, Inc

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Miracle Software Systems is a global IT services company that has been consistently delivering true value for businesses for the past 29 years.

H1B Sponsorship

Miracle Software Systems, Inc has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (115)
2022 (182)
2021 (149)
2020 (195)

Funding

Current Stage
Late Stage

Leadership Team

P
Prasad Lokam
CEO / President
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Company data provided by crunchbase
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