Data Engineer (Actimize)

Talencia

Job Location:

New York City, NY - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Position: Data Engineer (Actimize)

Location: NYC NY
Setting: Onsite (5 days onsite)

Type: LTC (Long Term Contract)

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

Position: Data Engineer (Actimize) Location: NYC NY Setting: Onsite (5 days onsite) Type: LTC (Long Term Contract) 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...