Analytics Developer

LoginSoft Consulting LLC
Rockville, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Rockville, United States of America

Tech stack

API
Artificial Intelligence
Business Analytics Applications
Data analysis
Google BigQuery
Information Systems
Data Integrity
Data Systems
Relational Databases
Google Analytics
Python
Log Analysis
Machine Learning
Power BI
SQL Databases
Tableau
Web Analytics
Google Tag Manager
Scripting (Bash/Python/Go/Ruby)
Information Technology
Data Analytics
Data Management
Data Pipelines

Job description

Design, build, and maintain scalable data pipelines. Ensure data accuracy, validation, and governance standards. Develop and optimize SQL queries, views, and data models. Support ad-hoc data requests and analysis as needed. Create and maintain dashboards and reports for digital analytics and customer experience data aiming for reporting automation. Manage and maintain data tracking frameworks. Optimize implementation in accordance with new product developments. Conduct server log analysis to identify anomalies, performance issues, and potential data integrity concerns. Collaborate with business stakeholders to translate requirements into technical solutions. Analyze and communicate generated insights on web analytics and customer experience data.

Requirements

We are seeking an experienced Analytics Developer to design, develop, and maintain scalable analytics and data solutions that enable data-driven decision-making across the organization. The ideal candidate is technically strong, detail-oriented, and excited about building high-quality analytics solutions that empower business stakeholders. This role reports to Analytics Lead and will collaborate with other technical and business teams across the library., Bachelor s degree in computer science, Information Systems, Data Analytics, or related field, or 3+ years of experience in analytics development Advanced proficiency in SQL with strong understanding of relational database concepts, including data modeling, normalization, and complex SQL joins Experience working with cloud data platforms preferably BigQuery Experience working with web analytics data and implementing digital analytics tracking (Google Analytics, Google Tag Manager) Hands-on experience with at least one BI tool (Power BI, Tableau, etc.) Experience with Python or other scripting languages Experience working with APIs and data integrations Strong problem-solving and analytical thinking Ability to communicate technical concepts to non-technical stakeholders Ability to leverage AI or machine learning tools to enhance analytics

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