Analyze complex datasets, build Power BI dashboards, develop optimized BigQuery SQL queries, and create analytical data models. The role focuses on data quality, validation, reporting, KPI development, and translating business requirements into scalable analytics solutions using GCP. The analyst will collaborate with technical and business stakeholders, optimize reporting and data pipelines, identify data issues, and communicate actionable insights.
This role is for one of Weekday’s clients
Min Experience: 4+ years
Location: India
JobType: full-time
We are looking for an experienced Data Analyst with 4–8 years of experience in data analytics, business intelligence, and cloud-based data platforms. The ideal candidate will have strong hands-on expertise in GCP, BigQuery, and Power BI, along with a solid understanding of data analysis, data modelling, and modern data management practices.
The role involves working with large and complex datasets, transforming raw data into meaningful insights, building scalable reporting solutions, and partnering with business and technical stakeholders to support data-driven decision-making.
RequirementsKey Responsibilities
- Analyze large and complex datasets to identify trends, patterns, business opportunities, and areas for improvement.
- Design, develop, and maintain interactive Power BI dashboards, reports, and visualizations for business and operational teams.
- Work extensively with Google Cloud Platform (GCP) services to support data analytics and reporting requirements.
- Develop efficient and optimized SQL queries in Google BigQuery for data extraction, transformation, validation, and analysis.
- Collaborate with data engineers and business stakeholders to understand data requirements and translate them into scalable analytical solutions.
- Perform data profiling, cleansing, validation, and reconciliation to ensure accuracy and consistency.
- Develop data models and analytical datasets that support reporting, visualization, and business intelligence use cases.
- Optimize queries, dashboards, and data pipelines to improve performance and efficiency.
- Identify data quality issues and work with relevant teams to investigate and resolve them.
- Translate business requirements into meaningful KPIs, metrics, dashboards, and analytical reports.
- Present analytical findings and insights to stakeholders in a clear and actionable manner.
- Contribute to the development and improvement of data analytics processes, standards, and best practices.
- 4–8 years of experience in data analytics, business intelligence, or a related field.
- Strong hands-on experience with Google Cloud Platform (GCP) and cloud-based analytics environments.
- Advanced knowledge of Google BigQuery, including SQL querying, optimization, data transformation, and large-scale data analysis.
- Strong experience with Power BI, including dashboard development, data visualization, reporting, and KPI creation.
- Excellent SQL skills and strong understanding of relational and analytical databases.
- Experience working with large datasets and translating business requirements into analytical solutions.
- Strong understanding of data quality, data validation, and analytical reporting.
- Strong knowledge of data analysis and data modelling concepts.
- Experience with Dataplex for data management, governance, discovery, and organization within GCP.
- Experience with Dataform for developing, managing, and transforming analytical datasets in BigQuery.
- Understanding of modern data warehouse and data lake architectures.
- Familiarity with data governance, metadata management, and data lineage.
- Exposure to Python or other programming languages used for data analysis is an advantage.
The ideal candidate should have strong analytical and problem-solving abilities, attention to detail, and the capability to work effectively with both technical and non-technical stakeholders. You should be comfortable working independently, managing multiple analytical requirements, and communicating complex data insights in a simple and business-friendly manner.
A combination of GCP, BigQuery, Power BI, data analysis, and data modelling expertise will be highly valued for this position.
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