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