Job Description

My client is looking for a Senior Data Analyst, who is a true Data Wrangler with a passion for solving complex integration challenges? Ideal candidates will have a knack for merging disparate data sets and creating seamless data environments.

The contract is initially for 6 months (although likely to be an 18month piece of work).

About the Role

As a Senior Data Analyst, you will play a pivotal role in integrating and reconciling data from various systems to ensure consistency, accuracy, and reliability. Your expertise in SQL, Python, SAP, and ideally Databricks will enable you to design, implement, and manage sophisticated data solutions. You'll collaborate with cross-functional teams to drive efficiency and innovation in our clients' data landscape.

Key Responsibilities

• Data Integration & Analysis: Analyse and reconcile data sets with similar nature but varying naming conventions or structures during system mergers or integrations.
• Database Management: Write complex SQL queries to extract, manipulate, and analyse data from multiple sources.
• Programming & Scripting: Utilize Python to automate data processing, cleansing, and transformation tasks.
• SAP Expertise: Work with SAP data and integrate it with other platforms, ensuring alignment and compatibility.
• Databricks Utilization: Leverage Databricks for big data analytics, ETL pipelines, and machine learning workflows.
• Collaboration: Partner with business and technical stakeholders to understand requirements, identify gaps, and deliver data-driven solutions.
• Quality Assurance: Validate data integrity, troubleshoot issues, and implement solutions to ensure high-quality data outputs.
• Documentation: Maintain thorough documentation of data processes, workflows, and integration methodologies.
• Continuous Improvement: Stay updated with emerging technologies and best practices to improve existing processes and tools.

Skills:

• Data Wrangling
• Proven experience in data analysis and systems integration.
• Expertise in SQL and Python for data manipulation and analysis.
• Hands-on experience with SAP systems, including data extraction and integration.
• Familiarity with Databricks or similar big data platforms (preferred but not essential).
• Strong problem-solving skills and attention to detail.
• Excellent communication skills with the ability to convey complex data concepts to non-technical stakeholders.

The role is a hybrid model with 3 days in the office based in Chicago.

If you are interested in this Senior Data Analyst role - based in Chicago please email your CV in the first instance.

Eden Smith is an equal opportunity employer and does not discriminate on any grounds.

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