Data Engineer (NY)

: Data Engineer (Actimize)
Location: NYC, Midtown Manhattan (5 days onsite).
Visa: Independent - first preference.
Type of hire: FTC / CTH
Rate: 70 - 75 $ P/H.
Headcount: 2 - need immediate joiner
Role Summary
A Data Analyst is responsible for collecting, analyzing, and interpreting data to help organizations make informed business decisions. This role focuses on transforming raw data into actionable insights through reporting, visualization, and statistical analysis.
Key Responsibilities
Data Analysis & Reporting

• Analyze large datasets to identify:
• Trends, patterns, and anomalies
• Develop and maintain:
• Reports, dashboards, and KPIs
• Use tools such as:
• Microsoft Power BI
• Tableau

Data Extraction & Querying

• Extract and manipulate data using:
• SQL from databases (Oracle, SQL Server, PostgreSQL)
• Perform:
• Data aggregation, filtering, and transformation for reporting

Data Visualization

• Create intuitive dashboards and visual reports
• Present insights using charts, graphs, and storytelling techniques
• Actimize Canonical Data Model (CDM)

Business Insights & Decision Support

• Translate data findings into:
• Business insights and recommendations
• Work closely with stakeholders to:
• Understand business requirements
• Provide data-driven solutions

Data Quality & Validation

• Ensure:
• Accuracy and consistency of data
• Perform:
• Data validation and reconciliation checks

Collaboration

• Work with:
• Data engineers and IT teams for data availability
• Business teams for requirement gathering
• Leadership for reporting and insights

Required Skills & Qualifications
Technical Skills

• Strong proficiency in:
• SQL
• Microsoft Excel (advanced functions, pivot tables)

Experience with:

• Data visualization tools (Power BI, Tableau)
• Basic knowledge of:
• Data warehousing concepts

Preferred Skills

• Familiarity with:
• Python (Pandas, NumPy) or R for data analysis
• Exposure to:
• Cloud platforms like Amazon Web Services
• Big data tools like Apache Spark (basic level)

Domain Knowledge (Nice to Have)

• Understanding of:
• Business intelligence and analytics
• Industry domains such as Banking, Healthcare, Retail

Soft Skills

• Strong analytical and critical thinking skills
• Attention to detail and data accuracy
• Good communication and presentation skills
• Ability to explain complex data in simple terms

Typical Tools & Technologies

• Querying: SQL
• Visualization: Power BI, Tableau
• Data Handling: Excel, Python
• Databases: Oracle, SQL Server, PostgreSQL

Certifications (Optional)

• Microsoft Power BI Certification
• Tableau Certification
• Google Data Analytics Professional Certificate

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.