: Gather, clean, and organize large datasets from multiple sources.
Data Analysis & Interpretation
: Identify patterns, trends, and anomalies using statistical and analytical techniques.
Visualization & Reporting
: Create dashboards and reports using tools like
Power BI
,
Tableau
, or
Excel
to communicate insights effectively.
Database Support
: Assist in database design, maintenance, and optimization.
Algorithm Development
: Support the development of models and algorithms for data analysis.
Collaboration
: Work with cross-functional teams to define data requirements and deliver actionable insights.
Compliance & Data Integrity
: Ensure adherence to data governance and regulatory standards.
Technical Knowledge
Tools
: Power BI, SQL, Python, Excel (advanced functions), Tableau.
Concepts
: Data modeling, ETL workflows, statistical analysis, and visualization best practices.
Optional
: Familiarity with cloud platforms (Azure), automation (VBA, Python scripts), and CI/CD for data pipelines.
Educational Requirements
Enrollment in a
Bachelor's or Master's program
in Data Science, Computer Science, Statistics, Business Analytics, or related fields.
Coursework or certifications in
data analysis tools
(SQL, Python, Power BI) is highly desirable.
Soft Skills
Strong analytical and problem-solving abilities.
Attention to detail and critical thinking.
Effective communication for presenting insights to non-technical stakeholders.
Ability to work independently and in teams.
Duration & Structure
5-6 months
May include
mentorship
, hands-on projects, and exposure to real-world BI scenarios.
Education
(if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications
(if blank, certifications not specified)
Required Skills
Optional Skills
Desired Languages
(If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date
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