Power BI Developer
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Key skills for this role
About the Role
Qode seeks a Power BI Developer for a 3-month contract to deliver the reporting and visualization layer of an MRO Inventory Optimization platform. The role requires building performant Power BI models and dashboards sourced from BigQuery.
Key Skills for This Role
Responsibilities
- Build KPI dashboards for inventory metrics (stock levels, turnover, carrying cost, stockout risk, slow moving/obsolete inventory)
- Develop inventory analytics views with drill down by plant, material group, and criticality
- Create executive dashboards with high level summaries and trend analysis
- Design the underlying semantic model, implement RLS for multi plant/role access, and optimize refresh performance
Requirements
- 5–6 years of experience in Power BI development
- End to end Power BI report development including visual selection, drill through, bookmarks, tooltips, and performance tuning
- Strong DAX skills including measures, CALCULATE, time intelligence, iterators, and variables
- Proficiency in Power Query (M) for data shaping, merges, parameterization, and incremental refresh
- Experience with star schema data modeling, fact/dimension modeling, and relationship cardinality
- SQL/BigQuery skills for writing and tuning source queries
- Experience implementing Row Level Security (RLS) static and dynamic
Full Job Posting
Role Overview
- Deliver the reporting and visualization layer of the MRO Inventory Optimization platform — building performant, governed Power BI models and dashboards for operational users and executives, sourced from BigQuery and the project's data services.
Must Have — technical depth expected
- Power BI: End to end report development, visual selection and design, drill through, bookmarks, tooltips, performance tuning (reducing visual/query load).
- DAX: Measures vs calculated columns, CALCULATE and filter context, time intelligence functions, iterators (SUMX/AVERAGEX), variables, debugging context transition.
- Power Query (M): Data shaping, merges/appends, parameterization, query folding awareness, handling incremental refresh sources.
- Data modeling: Star schema design, fact/dimension modeling, relationship cardinality and filter direction, avoiding many to many pitfalls, optimizing model size (column cardinality, aggregations).
- SQL / BigQuery: Writing and tuning source queries, DirectQuery vs Import trade offs, working with partitioned warehouse tables.
- Row Level Security (RLS): Static and dynamic RLS, role definitions, USERPRINCIPALNAME based filtering, testing security roles.
Good to Have
- Paginated reports (Report Builder), Power BI Service administration (workspaces, gateways, refresh schedules, deployment pipelines), data governance (sensitivity labels, lineage, certified datasets), Python/R visuals or scripting, Azure DevOps for version control and deployment.
Scope of Work
- Build KPI dashboards for inventory metrics (stock levels, turnover, carrying cost, stockout risk, slow moving/obsolete inventory).
- Develop inventory analytics views with drill down by plant, material group, and criticality.
- Create executive dashboards with high level summaries and trend analysis.
- Design the underlying semantic model, implement RLS for multi plant/role access, and optimize refresh performance.
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