Data and Analytics Support Specialist

20-30 hours per week

On behalf of our Client, Mobilunity is looking for a Data & Analytics Support Specialist.

You will join a team supporting data-driven decision-making through accurate reporting, dashboards, data validation, and business analysis.

The role is focused on ensuring that business and project teams have reliable, understandable, and up-to-date data. You will work with reporting tools, databases, and analytical datasets, investigate data inconsistencies, support ad-hoc requests, and help stakeholders understand key business metrics.

This is a part-time opportunity of 20–30 hours per week, making it a good fit for a data professional who enjoys working with reporting, analytics, and data quality in a flexible environment.

What we’re looking for:

We need a data-oriented professional who is comfortable working with reports and datasets, validating information, investigating inconsistencies, and supporting business users with data-related requests.

The ideal candidate:

• has a structured and analytical approach to working with data;
• is attentive to data accuracy and consistency;
• is comfortable working with SQL and reporting tools;
• can independently investigate data issues and identify trends or anomalies;
• understands KPIs and basic analytical concepts;
• can communicate data findings clearly to non-technical stakeholders;
• is comfortable handling both regular reporting and ad-hoc analytical requests.

Responsibilities:

• Prepare and maintain regular reports and dashboards.
• Extract data from databases and analytics systems.
• Check data for accuracy, completeness, and inconsistencies.
• Support ad-hoc data requests from business and project teams.
• Create and update KPIs and analytical metrics.
• Help users interpret reports and data.
• Write basic SQL queries to retrieve and validate data.
• Perform data cleansing and validation.
• Maintain data definitions and documentation.
• Check data pipelines and integrations.
• Support data quality initiatives.
• Maintain datasets used for reporting and analytics.
• Identify trends, anomalies, and significant changes in business metrics.
• Compare performance against KPIs.
• Perform basic statistical analysis.
• Investigate the reasons behind changes in business metrics.
• Provide insights and recommendations based on data.

Requirements:

• Commercial experience in Data Analytics, Data Reporting, Business Intelligence, or a similar role.
• Good understanding of SQL and experience using SQL to retrieve and validate data.
• Hands-on experience with AWS QuickSight.
• Hands-on experience with AWS Athena.
• Advanced Excel skills.
• Experience creating and maintaining reports and dashboards.
• Understanding of KPIs and analytical metrics.
• Experience with data validation, cleansing, and quality checks.
• Strong analytical and problem-solving skills.
• Ability to identify trends, anomalies, and inconsistencies in data.
• Good communication skills and ability to explain data to business users.
• Experience working with PowerPoint for presenting data and insights.
• Experience working with Jira or similar project management tools.
• Good command of English.

Nice to have:

• Experience working with data pipelines and integrations.
• Experience with BI or data visualization tools other than AWS QuickSight.
• Experience with data quality initiatives.
• Experience working in a business or product environment.
• Basic knowledge of statistics and data analysis.
• Experience supporting cross-functional or international teams.