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Data Analyst & Planner

Experis
10 months ago
Applications closed

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Location: England Job Type: Contract Industry: Digital Workspace Job reference: BBBH390626_1734705386 Posted: 26 minutes ago

Role Title: Data Analyst & Planner
Duration: 6 Months
Location: Remote
Rate: £400 per day - Umbrella only

Would you like to join a global leader in consulting, technology services and digital transformation?

Our client is at the forefront of innovation to address the entire breadth of opportunities in the evolving world of cloud, digital and platforms.

Role purpose / summary

Gather and consolidate data from various sources, including application databases, user logs, and performance monitoring tools.
Ensure data integrity and accuracy, applying necessary validation and cleansing techniques to prepare data for analysis.
Application Performance Analysis:

Analyze data to assess application performance, identifying usage trends, peak loads, and potential bottlenecks.
Monitor application KPIs and metrics to evaluate application reliability, response times, and user satisfaction.
Dependency Mapping and Analysis:

Identify and document interdependencies between applications, databases, and systems, providing insights into how applications interact within the organization's IT landscape.
Assess the impact of applications on one another, especially in cases of migration or modernization projects.
Data Reporting and Visualization:

Create and maintain reports and dashboards that effectively communicate insights from application data.
Use visualization tools to help stakeholders quickly understand key performance metrics and application trends.
Stakeholder Collaboration:

Collaborate with IT teams, business analysts, and application owners to understand data requirements and deliver insights that align with business needs.
Act as a liaison between technical and non-technical stakeholders, translating data insights into actionable recommendations.
Data-Driven Recommendations:

Based on analysis findings, make data-backed recommendations for application optimizations, performance improvements, or consolidation.
Support decision-making processes regarding application retirement, migration, or reengineering based on usage and performance data.
Documentation and Knowledge Sharing:

Document data sources, analysis methodologies, and key insights, ensuring that processes are well-documented for future reference.
Share knowledge with team members and stakeholders to support ongoing data literacy and effective data use within the organization.

Required Skills and Qualifications:

Educational Background: Bachelor's degree in Computer Science, Data Analytics, Information Systems, or a related field. Relevant certifications (e.g., Google Data Analytics, Microsoft Power BI, or similar) are a plus.
Experience: Minimum of 3-5 years of experience in data analysis, with a focus on application or system data. Experience in IT or software development environments is preferred.
Technical Proficiency: Proficiency in data analytics and visualization tools, such as SQL, Power BI, Tableau, or Excel. Knowledge of application monitoring tools and platforms is a plus.
Analytical Skills: Strong ability to interpret complex data sets, identify patterns, and generate actionable insights.
Communication: Excellent written and verbal communication skills, with the ability to present findings clearly to both technical and non-technical audiences.
Attention to Detail: High attention to detail, ensuring accuracy in data collection, validation, and analysis.
Preferred Competencies:
Problem Solving: Ability to troubleshoot data-related issues and solve complex problems related to application performance and usage.
Project Support: Experience in supporting IT transformation or migration projects with data insights.
Adaptability: Ability to manage and prioritize multiple tasks in a dynamic work environment.

All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

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