5+ years of experience in data analytics, focusing on Google BigQuery and Power BI., Strong proficiency in SQL for querying and transforming large datasets., Hands-on experience with Data Lakes and large-scale data processing., Ability to communicate complex data insights to non-technical stakeholders..
Key responsabilities:
Manage and optimize BigQuery data sourced from Google Analytics for accuracy and performance.
Develop and maintain data pipelines and ETL processes in a Data Lake environment.
Design and implement Power BI dashboards and reports for real-time business insights.
Collaborate with business stakeholders to understand data requirements and deliver insights.
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Royal Cyber is an agile, business-results-driven digital technology partner for forward-thinking enterprises. A leader in delivering world-class commerce and enterprise solutions, Royal Cyber helps organizations streamline business operations and compete in the global marketplace by focusing on a range of cutting-edge technologies such as ServiceNow, Mainframes modernization, Cloud services, Data Analytics, GenAI, Watson, IoT, ChatBoT, BPM, DevOps, B2Bi and Mobility that redefine businesses worldwide.
Headquartered in Chicago, Illinois we have a global footprint with offices and development centers across North America, Asia, Europe, Africa and the Middle East. Royal Cyber strategic move of establishing an offshore center in Asia has helped us to reduce costs and provide highly competitive rates to our valued clients.
Our global presence and diverse workforce has enabled us to provide innovative and customized IT solutions. Today we are the global leader in software consultancy and provide best-in-class services with reliability, safety and security to maintain global redundancy for seamless delivery.
Job Title: Senior Data Analyst (Offshore) Location: Offshore (Remote) Job Type: Full-Time Experience Level: Senior ________________________________________ Job Summary: We are seeking a highly skilled Senior Data Analyst with expertise in Data Lake, BigQuery, and Power BI to join our offshore team. The ideal candidate will be responsible for managing and optimizing BigQuery data from Google Analytics, ensuring seamless data integration, and leveraging Power BI to develop impactful data visualizations. This role requires a deep understanding of data structures, analytical skills, and the ability to translate complex datasets into actionable insights. ________________________________________ Key Responsibilities: • Manage and optimize BigQuery data sourced from Google Analytics, ensuring data accuracy and performance. • Develop, maintain, and troubleshoot data pipelines and ETL processes in a Data Lake environment. • Design and implement Power BI dashboards and reports to provide real-time business insights. • Work closely with business stakeholders, data engineers, and analysts to understand data requirements and deliver insights. • Perform data validation, cleansing, and transformation to ensure high-quality analytics outputs. • Optimize SQL queries for efficient data extraction and transformation. • Identify trends, patterns, and correlations in large datasets to support business decision-making. • Ensure data security, governance, and compliance in alignment with organizational policies. • Stay updated with industry best practices in data analytics, visualization, and cloud data management. ________________________________________ Required Skills & Experience: • 5+ years of experience in data analytics, with a strong focus on Google BigQuery and Power BI. • Proven expertise in managing and analyzing BigQuery data from Google Analytics. • Strong proficiency in SQL for querying and transforming large datasets. • Hands-on experience with Data Lakes and large-scale data processing. • Expertise in Power BI, including DAX, data modeling, and report development. • Experience in integrating BigQuery data sources into Power BI. • Familiarity with cloud-based analytics solutions, particularly Google Cloud Platform (GCP). • Strong analytical and problem-solving skills with an eye for detail. • Ability to communicate complex data insights to non-technical stakeholders. ________________________________________ Preferred Qualifications: • Experience with Python or R for data analysis and automation. • Knowledge of Google Analytics 4 (GA4) and its impact on data structuring. • Experience in working in an agile environment. • Prior experience with marketing analytics and attribution models. • Strong Communication and Team Collaboration skills.
Required profile
Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.