Data Analyst - Contract-Remote

Dear Applicant, 

Greeting from ProArch!

Position: 3-6 months Contract and Remote opportunity.

Please provide the following details immediately, to move your profile to technical evaluation. .

.        Full Name:

•         Total Experience:
•         Year of Experience in Data Analysis:
•         Year of Experience in ETL :
•         Year of Experience in Data Wrangling / Data Cleansing:
•         Year of Experience in Azure / AWS:
•         Year of Experience in Data Visualization / Power BI:
•         Current CTC:
•         Expected CTC:
•         Interested in Contract (Yes / No): Yes

(Contract is initially for 3-6 months fixed which is extendable depending on your performance and clients' further requirement)

•         Last Working Day:
•         Reason for Change:
•         Any offers in hand:
•         Current Location:

  •     12-Digit UAN Number:

•         Linked In:

Position Overview:
We are seeking an experienced Data Analyst to drive the optimization of our data request and standardization processes. The ideal candidate will focus on simplifying data acquisition, defining minimum viable datasets, and ensuring consistency through data normalization. This role is critical to delivering clean, usable data to the product and consultants for real-time decision-making.

Key Responsibilities:

1. Data Request Process:
• Redesign and streamline the data request process to ensure minimal but complete datasets.
• Collaborate with stakeholders to identify key data attributes required for analysis.
2. Data Normalization and Validation:
• Clean, transform, and standardize ERP data (SAP, JD Edwards) for ingestion.
• Develop consistent processes to eliminate nulls, inaccuracies, and outliers.
3. ETL and Data Pipeline Support:
• Define and document Core Data Requests for reusable ingestion pipelines.
• Work alongside engineers to ensure clean data flows from extraction to visualization.
4. Collaboration:
• Partner with the Product Manager to align data structure with business goals.
• Support engineers and scientists by validating normalized datasets.
5. Documentation:
• Maintain detailed documentation of data processes, templates, and request standards.

Required Skills & Qualifications:

• 5-7 years in data analysis, with a focus on ETL and data normalization.
• Strong experience with SQL for data querying and transformation.
• Proficient in data wrangling and cleaning processes.
• Experience working with ERP systems (e.g., SAP, JD Edwards) and understanding data attributes.
• Ability to design and document scalable data request templates.
• Familiarity with Excel for initial data extraction/cleaning.
• Strong analytical and communication skills to liaise with technical and business teams.

Nice-to-Have:

• Exposure to Palantir Foundry or similar big data platforms.
• Experience with Power BI (ability to validate clean data for visualizations).

Thanks & Regards,

Shanthi

pillis@proarch.com