Senior Business Analyst

FactSet

2 - 18 years

15 - 16 Lacs

hyderabad

Posted:1 day ago| Platform:

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Skills Required

snowflake python amazon redshift bi power bi business analysis business analytics data quality management dashboards change management sql data bricks bi tools tableau data modeling stakeholder management bigquery etl communication skills

Work Mode

Work from Office

Job Type

Full Time

Job Description

BI Development & Data Storytelling
- Design, build, and maintain BI dashboards and reports using curated datasets.
- Translate data into actionable insights that inform strategic and operational decisions.
- Partner with business teams to define KPIs and performance metrics.
Data Curation & Quality
- Work with data engineering and data quality teams to ensure curated datasets are accurate, consistent, and business-ready.
- Contribute to defining and monitoring data quality metrics (accuracy, completeness, timeliness).
- Advocate for data governance best practices and maintain awareness of data lineage.

AI & ML Alignment
- Collaborate with data science and ML teams to ensure curated datasets are suitable for feature engineering and model training.
- Experiment with AI/LLM tools for summarization, enrichment, classification, and exploratory analysis.
- Apply prompt engineering techniques to improve AI-driven BI workflows while maintaining human oversight.

Stakeholder Collaboration
- Serve as a bridge between business users, data engineers, and AI/ML practitioners.
- Conduct requirements gathering to align curated datasets and BI deliverables with organizational priorities.
- Communicate complex data and AI concepts to non-technical stakeholders in clear, actionable terms.

What Were Looking For

Required Skills

Proficiency in SQL and BI tools (Power BI, Tableau, Looker, or equivalent).
Strong data modeling skills (star/snowflake schemas, semantic layers).
Experience working with curated datasets and understanding of ETL/ELT pipelines.
Familiarity with data quality management, data governance, and metadata/lineage tools.
AI/ML literacy: understanding of how AI/ML models support curation, anomaly detection, and enrichment.
Ability to use prompt engineering and AI-assisted analysis responsibly.
Strong communication, stakeholder management, and data storytelling skills.
Bachelor s degree in Data Science, Information Systems, Statistics, Business Analytics, or related field (or equivalent experience).

Desired Skills

Exposure to cloud-based data platforms (Snowflake, BigQuery, Redshift, Databricks).
Experience with data catalogs and governance tools (Collibra, Alation, Atlan).
Familiarity with Python or R for advanced analytics.
Background in financial, healthcare, or regulatory data (where quality and curation are critical).
Change management skills to help drive adoption of curated and AI-enabled data workflows.

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