Senior Power BI Developer (Hybrid)

Career Opportunity: Job Title: Senior Power BI Developer (Hybrid) About CodeForce 360 Making a career choice is amongst the most critical choices one can make, and it's important for the choice to be calculated with factors such as a company's run of success since its inception and more. But, when you come across a company that has reputation proven with nothing but an illustrious run of success since the day it began, you don't need to think of anything else. That's precisely what some of our employees and prospective employees think when they came across CodeForce 360. Position Overview Senior Power BI Developer (Hybrid) Requirements:

• Person will be responsible for Power BI reports and Dashboard developments.
• Prior experience with Oracle ERP is preferred.
• Developer should bring creativity in developing solution and utilizes features of Power BI, not just table-based reporting.
• Data Modelling experience is nice to have.

• Analyze data via SQL queries to assess structure, granularity, quality, and fit for analytics.
• Gather, document, and validate detailed business requirements.
• Discover, define, and document innovative, actionable analytics and KPIs.
• Prepare high-level project plans including required activities, resources, and timeframes.
• Given a scenario, recommend the appropriate analytics delivery method.
• Know and understand how and when to recommend Power BI platform, mobile, and Embedded Analytics options.

• Plan and implement Power BI connections to data sources, particularly Cloud data warehouses such as Snowflake, Redshift, Google Cloud SQL, and Azure SQL.
• Collaborate with data engineers and architects to prepare efficient data sets aligned with requirements.
• Create views and aggregate data sets within Cloud data warehouses such as Snowflake & Redshift.
• Data Sourcing, including data connections, settings, queries, and query performance issues.
• Clean, transform, and load data.

• Recommend an efficient calculation method via Power BI or Data Warehouse.
• Analyze and validate results.
• Design a data model, including table definitions, relationships, measures, hierarchies, cardinality, granularity, and performance considerations.
• Develop a data model, including filtering, calculated tables/columns, and row-level security.
• Create measures by using DAX for complex calculations, filters, time intelligence, statistics, etc.
• Optimize model performance thru aggregations and other methods.

• Plan and implement performance best practices.
• Recommend and develop optimal visualizations for insightful, actionable business use.
• Design dashboards based on visual analytics best practices and business requirements.
• Collaborate with business stakeholders to design and iterate insightful dashboards.
• Support User Acceptance Testing (UAT), performance testing (load times), and deployment.
• Develop robust visualizations/reports/dashboards with the full range of functionality.
• Create dashboards including mobile access, Q&A, data alerts, and other features.
• Enrich reports for usability, including drill-through, drilldown, slicers, and exports.

• Enhance reports to expose insights through conditional formatting, top N analysis, Quick Insights, etc.
• Perform advanced analysis via grouping, bins, AI Insights, and other methods.

• Manage datasets including scheduled refreshes, group security, user access, dependencies, etc.
• Create and manage workspaces including role assignments, app configuration, pipelines, subscriptions, promotion of content, and lifecycle strategy.

• Seven years of relevant experience.
• Advanced skills in SQL queries.
• Effective client communications, both written and verbal.
• Data story-telling abilities and analytical curiosity.
• Work independently and/or in a team under time constraints.
• Ability to lead a project team and provide coaching to junior consultants.
• Adaptable to changing priorities and client direction.
• Strong attention to detail.

• Microsoft Power BI certifications.
• Strong knowledge of Cloud Data Warehouses e.g., Snowflake, Redshift, Google, Azure.
• Python skills in full-stack environments (data preparation to visualizations).