NeoXam (NeoXam Company Profile) is a leading financial software company delivering cutting-edge solutions for data management, portfolio management, and regulatory compliance. With a strong global presence, NeoXam serves over 150 customers in 25 countries, processing more than €25 trillion worth of assets daily and supporting over 10,000 users. Committed to client success, NeoXam provides reliable and scalable solutions that help buy- and sell-side players navigate the evolving financial landscape. Backed by 800+ employees, NeoXam is headquartered in Paris with 20 offices worldwide.

Data Acquisition Group - DAG Analyst (Exp 10-12 yrs)

The role involves collecting, processing, and managing data from various sources to ensure its accuracy and usability. This includes working with sensors, databases, and software tools to gather real-time or historical data for analysis.

Core Responsibilities:

• Data Collection: Gathering data from various sources, including sensors, databases, APIs, and web scraping.
• Data Processing: Cleaning, validating, transforming, and integrating data from different sources.
• Data Storage and Management: Ensuring data is stored securely and efficiently, often in databases or data warehouses.
• Data Integration: Combining data from different sources into a unified format.
• Data Analysis: Identifying trends, patterns, and insights from the collected data to inform business decisions.
• Collaboration: Working with data analysts, business intelligence teams, and other stakeholders.
• Reporting and Visualization: Preparing reports and dashboards to communicate findings to stakeholders.
• System Maintenance and Support: Ensuring the proper functioning of data acquisition systems and addressing any technical issues.
• Additional responsibilities include –

Developing and implementing data acquisition pipelines.

Building and maintaining data storage systems.

Analyzing data to identify issues and suggest improvements.

Collaborating with other teams to ensure data quality and integrity.

Providing technical support for data acquisition systems.

Required Skills and Qualifications:

• Qualifications – Graduation in any stream with an MBA will be added advantage.
• Functional Expertise: Strong understanding of Data acquisition to support Managed Services Reconciliation services. Reconciliation knowledge will be an added advantage.

• Technical Skills: Proficiency in programming languages (e.g., Python, Node), data manipulation tools, and database management systems.
• Analytical Skills: Ability to analyze data, identify trends, and draw meaningful conclusions.
• Problem Solving Skills: Ability to identify and resolve technical issues related to data acquisition.
• Communications Skills: Ability to communicate technical information clearly and concisely to both technical and non-technical audiences.
• Data Management Skills: Understanding of data structures, data formats, and data quality principles.