Data Scientist

Adecco

Job Title: Information Analyst - Data Scientist

Job Location: India

Exp Level: 5+ years

Work Type: Remote

Salary: Open for discussion

Job Overview -

Data Scientist

Azure Data Services, SQL Server, Power BI, and Fabric

Key Accountabilities

Responsibilities

• Design, develop, and maintain data models, ETL/ELT pipelines, and data warehouses using Microsoft technologies (SQL Server, Azure Data Factory, Synapse Analytics, Databricks, etc.).

• Analyze business requirements and translate them into technical specifications for data solutions.

• Perform data profiling, cleansing, and transformation to ensure data quality and integrity.

• Collaborate with business data engineers, and BI developers to understand data needs and deliver solutions.

• Collaborate with business stakeholders to understand data needs and translate them into technical requirements.

• Implement and maintain data governance, metadata management, and security best practices.

• Troubleshoot and resolve data-related issues and performance bottlenecks.

• Analyze data from Microsoft Dynamics 365 (CRM) to provide insights that support sales, marketing, and customer service operations.

• Develop dashboards, reports, and KPIs using Power BI and other Office 365 tools (Excel, Power Query, Power Automate).

• Cleanse, validate, and ensure data quality within the CRM system.

• Monitor data integrity and work on deduplication, normalization, and enrichment tasks.

Develop and maintain documentation related to data models, processes, and definitions.

• Perform ad-hoc analysis and deliver data-driven recommendations.

• Contribute to data governance and compliance efforts, ensuring data usage adheres to company and regulatory standards.

Required Skills & Experience:

•

• 5+ years of experience as a Data Analyst, Business Intelligence Analyst, or similar role with a strong focus on Microsoft data technologies.

• Strong proficiency in SQL for data querying, manipulation, and database management.

• Expertise in Microsoft Power BI, including:

• Connecting to various data sources.

• Data modeling (DAX, relationships).

• Creating interactive reports and dashboards.

• Publishing and managing reports in Power BI Service.

•Design, develop, and maintain data pipelines, ETL processes, and data warehouses using Azure Data Factory, Synapse Analytics, SQL Server, and Databricks.

• Proven experience in data cleaning, transformation, and validation.

• Excellent analytical and problem-solving skills with a keen attention to detail.

• Strong communication and presentation skills, with the ability to explain complex data insights to non-technical audiences.

Preferred Qualifications:

• Microsoft Certified: Azure Data Engineer Associate, Data Analyst Associate, or similar certifications.

• Experience with cloud data architecture, big data, or real-time data processing.

• Knowledge of DevOps practices for data projects (CI/CD pipelines for data deployments).

• Familiarity with tools like Git, Azure DevOps, or other version control systems.