Performs business-focused data analysis, SQL reporting, dashboard development, root cause investigations, data profiling, and proof-of-concept analytics. Partners with stakeholders, customers, BI, data engineering, and product teams to translate business needs into technical solutions. Uses Azure data platform technologies, Python, and Power BI to develop insights, improve reporting, support data governance, and influence data-driven decisions.
Job Description: Senior Data Analyst / Business Data
Analyst (Azure Data Platform)
Role Overview
We are seeking a highly consultative Senior Data Analyst
/ Business Data Analyst who combines strong business acumen with deep
analytical and Azure data platform expertise. The ideal candidate will work
directly with business stakeholders, report owners, and customers to understand
business challenges, challenge requirements constructively, and translate them
into actionable analytics solutions.
This role requires a hands-on professional who can perform
rapid data investigations, build proof-of-concept analyses, and bridge the gap
between business needs and technical data solutions.
Key Responsibilities
- Engage
directly with business stakeholders, report owners, and customers to
gather, analyze, and refine business requirements.
- Translate
business requirements into SQL-based data analysis, reports, dashboards,
and actionable insights.
- Perform
root cause analysis and investigate data quality, reporting, and
operational issues.
- Develop
ad hoc analyses, prototypes, mock-ups, and proof-of-concepts to validate
business ideas and requirements.
- Challenge
business requirements constructively and recommend data-driven solutions
that align with strategic objectives.
- Collaborate
with data engineering, BI, and product teams to define data models,
metrics, and reporting standards.
- Interpret
complex datasets and present clear findings and recommendations to
technical and non-technical audiences.
- Support
analytics initiatives on Azure Data Platform technologies, ensuring
alignment with business objectives.
- Drive
continuous improvement in reporting, analytics processes, and data
governance practices.
Required Skills & Experience
Technical Skills
- Strong
expertise in SQL with the ability to write complex queries,
troubleshoot issues, and perform advanced data analysis.
- Proficiency
in Python for data analysis, data profiling, exploratory analysis,
and rapid prototyping.
- Solid
understanding of data modeling concepts, relational databases, and
analytical data structures.
- Experience
working with Azure Data Platform technologies such as:
- Azure
Data Factory (ADF)
- Azure
Synapse Analytics
- Azure
Databricks
- Azure
Data Lake
- Power
BI
Business & Consulting Skills
- Strong
business analysis and stakeholder management capabilities.
- Ability
to work directly with customers and business users.
- Experience
translating business problems into analytical and technical solutions.
- Excellent
communication and presentation skills.
- Strong
consulting mindset with the ability to challenge assumptions and influence
decision-making.
- Ability
to independently investigate issues, identify root causes, and recommend
solutions.
Preferred Qualifications
- Experience
in enterprise analytics, business intelligence, or data consulting
engagements.
- Exposure
to Agile delivery methodologies.
- Experience
working in customer-facing roles within data and analytics programs.
- Familiarity
with KPI frameworks, reporting governance, and business performance
management.
Key Attributes
- Highly
consultative and business-focused.
- Strong
problem solver with an investigative mindset.
- Hands-on
and analytical.
- Customer-centric
with excellent stakeholder engagement skills.
- Capable
of balancing business priorities with technical feasibility.
Experience: 7-12+ Years
Role Type: Senior Data Analyst / Business Data Analyst
Location: Onsite/Hybrid as per project requirements
This profile is ideal for candidates who can bridge business
and technology, engage confidently with customers, and deliver business-driven
analytics solutions rather than simply executing technical requests
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