Senior Reporting Analyst

About the role

We are seeking a Power BI Developer to build, maintain, and scale our marketing analytics reporting stack. You will own the end-to-end lifecycle in Power BI from data ingestion and modeling to DAX, visualization, publishing, governance, and performance tuning so marketing leaders can make timely, data-driven decisions on campaigns, spend, and growth.

What will you do?

• Own Power BI end-to-end.
• Build semantic models and enterprise datasets in Power BI Desktop and Service.
• Develop measures using advanced DAX; transform data with Power Query/M.
• Design effective visuals, navigation, drill-through, tooltips, bookmarks, and report UX.
• Publish to Power BI Service, manage workspaces, schedules, and subscriptions.
• Build and maintain marketing campaign dashboards:
• Track acquisition, funnel conversion, ROAS, CAC, LTV, attribution, retention, and engagement KPIs.
• Oversee the upkeep of existing dashboards; confirm KPI definitions and data lineage.
• Document metrics, calculations, and business logic in a data dictionary.
• Translate requirements into reporting solutions:
• Collaborate with stakeholders, business groups, and corporate teams to gather needs and design reports.
• Partner with marketers to map campaign strategy to data capture and reporting (e.g., UTM taxonomy, event schemas) and validate instrumentation.
• Data modeling and performance optimization:
• Design star/snowflake schemas; implement aggregations, query reduction, and measure branching.
• Optimize with query folding, incremental refresh, composite models, DirectQuery vs Import decisions.
• Implement row-level/ object-level security (RLS/OLS) and sensitivity labels.
• Data quality and governance.
• Create Dataflows for upstream cleansing; profile, standardize, and monitor data quality.
• Establish governance: naming conventions, certified/endorsed datasets, versioning, and lineage.
• Use deployment pipelines for dev/test/prod and manage on-prem data gateways as needed.
• Integrations and sources:
• Work with Data Engineering on pipelines; support extremely large datasets with optimization techniques.
• Identify trends and patterns; deliver actionable insights to improve campaign planning and effectiveness.
• Create reusable report templates and train users; promote self-service analytics best practices.
• Keep up with Power BI and Microsoft Fabric capabilities; recommend process/tool improvements.

What will you need?

• 5+ years in data analytics, including 3+ years building production-grade solutions in Power BI.
• Expert-level DAX and Power Query (M) proficiency.
• Proven experience designing semantic models and star schemas for medium-to-large datasets.
• Hands-on with Power BI Service: workspaces, gateways, scheduled refresh, incremental refresh, deployment pipelines, RLS/OLS, subscriptions.
• Strong analytical skills to gather, organize, analyze, and present complex data with accuracy.
• Demonstrated judgment and decision-making; ability to prioritize and meet deadlines.
• Clear written and verbal communication; ability to translate business needs into technical designs.
• Excellent organization, planning, and stakeholder management; effective negotiation skills.
• Team-first mindset; able to work independently and across cross-functional teams.
• Technologically savvy with data visualization tools: Power BI, Advanced Excel; familiarity with SharePoint and Teams.

What do you get?

• Insurance Benefit
• Holistic Wellness Program
• Global Footprint
• Cab Facility