Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
Data Analysis
Dashboard
Data Management
Data Modeling
Data Integrity
Data Profiling
Data Quality
Data-flow Diagrams
Incident Management
Microsoft PowerPoint
ROOT
Reporting
SQL
Tableau
Visualization
Data Flow
Job Details
Hello,
Hope you are doing well,
Note: Must Need to go Onsite from Day 1 & Need to go In-person Interview for Client Round)
Title: Data Analyst
Location: NYC, NY (In person interview is must)
Duration: Long Term
Rate: DOE
Prerequisites:
- Have strong understanding of data management concepts
- Have good understanding of data modelling concepts
- Strong SQL skills
- Strong customer facing and communication skills
- Good presentation skills
Responsibilities:
Data Analysis & Communication
- In-Depth SQL Analysis: Utilize SQL for in-depth data analysis to explore datasets, understand intricate relationships between data elements, identify trends, and validate data integrity.
- Stakeholder Reporting: Generate clear data analysis summaries that articulate findings, data quality issues, and their potential impact.
- Presentation & Visualization: Present data analysis findings to stakeholders using tools such as PowerPoint presentations and, if required, interactive dashboards in Tableau to facilitate data-driven decision-making.
- Data Quality & Understanding
- Data Profiling & Assessment: Conduct comprehensive data profiling to understand structure, content, and quality. Perform thorough data quality assessments to identify issues like missing values, inconsistencies, and inaccuracies.
- Root Cause & Anomaly Detection: Demonstrate a high degree of curiosity about data, actively seeking out anomalies, outliers, and unexpected patterns that may indicate underlying data quality problems.
- Issue Management: Proactively identify and communicate data quality issues to relevant stakeholders, explaining the impact and potential solutions, and log issues for tracking and resolution.
- Fit-for-Purpose Analysis
- Upstream/Downstream Analysis: Analyze upstream data sources and downstream data consumption patterns to gain a holistic understanding of data lineage and its impact across the organization.
- Fitness for Use Assessment: Assess data fitness for downstream consumption by evaluating whether data quality and structure meet the requirements of various applications, reports, and analytical processes.
- Data Flow Documentation: Develop and maintain data flow diagrams as needed to visually represent data movement, transformations, and relationships between systems, ensuring clear documentation
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