G
Senior Data Analyst (Contract, 12 months)
Remote
Visa Sponsorship
AI Summary
We are seeking a Senior Data Analyst with 7-10+ years of IT experience and 5-7 years of data analysis experience to work on a contract basis for 12 months.
Key Highlights
Data modelling, data analysis, and data warehousing
Snowflake, SAP BO, Power BI, Excel
Complex SQL queries, data profiling, and data visualization
Technical Skills Required
Benefits & Perks
100% remote work
Independent visa required
Contract employment for 12 months
Job Description
100% Remote
must have 8+ yrs of exp.
Looking for candidates with an independent visa only.
Must have: data modelling, data analysis, and data warehousing // Snowflake // SAP BO // Power BI // Excel.
At: [email protected]
Job Description
Duration: Contract – 12 months
Responsibilities
Qualifications:
- Bachelor of Science (BS) in computer science or information systems (or equivalent work experience).
- 7–10+ years of overall IT experience in software development or data-related roles, with evidence of increasing responsibility.
- 5–7 years of significant data analysis experience, including 2–4 years building complex data models.
- 2+ years of data profiling experience.
- 3–5 years of strong Snowflake experience; ability to construct complex SQL queries.
- Proven experience with programming languages such as SQL and Python for data manipulation and analysis.
- Experience with data analysis and visualization tools such as SAP BO, Power BI and Excel.
- Extensive knowledge of advanced concepts, practices, and procedures in analytic database environments.
- Proficiency with best practices in data modelling, data analysis, and data warehousing concepts.
- Ability to understand requirements and create complex relational data models.
- Ability to create data flow and process flow diagrams.
- Knowledge of BI methodologies, Data Marts, Data Warehousing, OLAP tools and techniques (a plus).
- Experience in professional services, accounting industry, or client service/consultative technology roles (a plus).
- Strong analytical and problem-solving skills to interpret complex data sources and generate meaningful insights.
- Ability to effectively diagnose, isolate, and resolve complex problems pertaining to data infrastructure.
- Good business knowledge and confident decision-making skills.
- Excellent written and oral communication skills, including business writing.
- Ability to communicate strategies around data modelling and architecture to cross-functional teams and business executives.
- Attention to detail and ability to maintain data accuracy and integrity.
- Ability to work with large datasets through data cleaning, preprocessing, and transformation techniques.
- Team oriented, flexible, and able to work in an ambiguous and/or changing work environment.
- Stay updated with industry trends and best practices in data analysis, modeling, and reporting.
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