4 дня назад
Senior Engineer, Enterprise BI & Analytics (Power BI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Engineer, Enterprise BI & Analytics (Power BI): Building and maintaining enterprise Power BI dashboards and star-schema data models across profitability, utilization, pipeline, finance, and FP&A with an accent on DAX, Power Query pipelines, data integration, and reconciliation accuracy. Focus on modeling data from CRM, project, finance, and resourcing systems, diagnosing relationship and grain issues, and producing variance analysis for business leadership.
Location: Chennai, India
Company
is an AI-native B2B digital agency combining data, technology, creativity, advanced analytics, and artificial intelligence to build customer experiences and integrated digital solutions.
What you will do
- Own Power BI dashboards covering project profitability, resource utilization and capacity, client finance, pipeline and revenue, and FP&A.
- Integrate CRM, project and time-tracking, finance/ERP, and resourcing data into consistent star-schema models.
- Build and debug Power Query pipelines and develop DAX measures for profitability, utilization, coverage, YTD totals, weighted pipeline, and budget-versus-actual analysis.
- Produce recurring reconciliations and variance analyses, including forecast-versus-actual, utilization-versus-plan, and pipeline snapshot comparisons.
- Audit source-data quality, identify data issues before dashboard publication, and strengthen data governance standards.
- Create documented workbooks and reusable templates, explaining analytical results to Finance, Operations, Sales, HR, and US-based leadership.
Requirements
- 5–7 years of experience in data analysis or BI development with significant hands-on Power BI experience.
- Strong DAX and Power Query (M) skills, including independently building dashboards from raw exports.
- Solid data-modeling knowledge covering star schemas, fact and dimension tables, data grain, and multi-source integration.
- Advanced Excel skills and experience with reconciliation and variance analysis.
- Strong SQL skills and working familiarity with cloud data warehouses and ELT tooling.
- Strong attention to detail and ability to explain technical findings to non-technical stakeholders.
Nice to have
- Python and pandas experience for data matching and reconciliation.
- Experience with project profitability, utilization, capacity, professional-services finance, or multi-entity reporting.
- Experience with HubSpot, Workday, project and time-tracking, or finance/ERP data.
- Experience working in AI-enabled analytics environments or using AI tools in BI work.
- Experience in integrated marketing, digital agencies, marketing services, or consulting.
Culture & Benefits
- Full-time employment with a comprehensive benefits package.
- Medical insurance, PF, gratuity, and paid holidays.
- Equal opportunity workplace committed to diverse perspectives and freedom from discrimination and intolerance.
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