Power BI and Data Analyst Specialist

Role & responsibilities

• Design and develop

  highly

  interactive,

  responsive

  dashboards

  with exceptional

UI/UX

• Build and manage

  multi-tenant

  Power

  BI

  dashboards

  with embedded capabilities using

  centralized semantic models

• Implement

  Row-Level

  Security

  (RLS)

  and user-based filtering to deliver secure, tenant-specific reporting
• Write

  advanced

  DAX

  measures

  and optimize data models for performance and flexibility
• Connect, clean, and transform raw data from

  various

  sources

  using

  Power

  Query (M)

  ,

  Dataflows

  , and

  SQL

• Conduct

  root

  cause

  analysis

  and build

  cause-effect

  relationships

  to explain trends or anomalies
• Apply

  statistical

  techniques

  (e.g., hypothesis testing, ANNOVA, chi Square etc ) to extract insights
• Conduct

  risk

  analysis

  using structured and real-time operational data
• Perform

  NLP/Text

  Analysis

  on logs, audit trails, incidents, or feedback using Python or Azure Cognitive Services
• Integrate

  AI/ML

  models

  into Power BI reports
• Build and manage

  Power

  BI

  deployment

  pipelines

  and ensure scalable version control practices
• Work with

  Azure

  Data

  Lake

  (Gen2)

  ,

  Microsoft

  Fabric

  (Lakehouse/Direct

  Lake)

  , and other large-scale data platforms
• Use

  SQL

  to query, manipulate, and validate data across multiple sources.
• Partner with business stakeholders to define KPIs, deliver actionable insights, and influence decisions

Preferred candidate profile

'

• Bachelors or master’s in data science

  ,

  Statistics,

  Computer

  Science

  , or a related field
• 5+ years of hands-on experience with

  Power

  BI

  Desktop

  and

  Power

  BI

  Service

• Expertise in writing

  advanced

  DAX

  , performance tuning, and reusable measures
• Strong experience in

  data

  cleaning,

  transformation

  , and

  ETL

  processes

  using

Power Query (M) and Dataflows

• Proficiency in

  SQL

  for querying, joining, and analysing data from structured sources
• Proven experience in designing

  multi-tenant

  dashboards

  with

  centralized semantic models

• Knowledge of

  statistical

  analysis

  and business analytics principles
• Experience with

  Azure

  Data

  Lake

  ,

  Microsoft

  Fabric

  , or similar cloud data platforms
• Familiarity with

  NLP/Text

  Analysis

  using Python
• Experience with

  deployment

  pipelines

  , and

  Power

  BI

  Embedded

  integration

• Excellent communication, data storytelling, and business engagement skills