Data Insights Strategist
4 days ago
About HRsource
We are a global consulting firm dedicated to helping businesses grow through data-driven insights. Our team of experts works closely with clients to deliver cutting-edge solutions that drive business success.
Job DescriptionWe are seeking an experienced Data Analytics Manager to lead our data analytics team and drive the growth of our data-driven initiatives. As a Data Analytics Manager, you will be responsible for managing data projects, transforming raw data into actionable insights, and enabling informed decision-making across the organization.
Key Responsibilities:
- Lead technology workstreams within projects, ensuring timely delivery and exceeding client expectations.
- Guide teams in strategic planning and execution, facilitating project success and maintaining high standards.
- Identify and analyze structured and unstructured data across business streams, both internally generated and externally sourced.
- Work closely with other members of the Data Team to ensure efficient data ingestion and correct modeling to deliver insights to the business and Technology.
- Take ownership of data issues through to resolution, working with IT and other internal stakeholders.
- Perform and automate data validation to improve data quality and integrity.
- Develop and maintain procedures, workflows, and other documentation relating to data management.
- Keep up to date with key industry and technology developments as they relate to data management best practice in the financial services industry.
- Work with the Data Team to translate business requirements into business intelligence visualizations/dashboards that can be easily understood and used.
- Locate and define new data-related process improvement opportunities.
Requirements:
- Bachelor's or Master's degree in Business Analytics or a related field.
- More than 5 years of experience in data analytics, including data modeling, cleansing, and enrichment.
- Familiarity with ETL/ELT tools and experience navigating data pipelines.
- Experience using scripting languages (e.g., Python, PowerShell) to extract insights from file-based storage.
- Cloud Data Technologies (Mainly Azure - SQL Database, Data Lake, HD Insight, Data Factory).
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